https://mytinycafe.com/

An PWA primarily for my wife and my daughter. They can order their hot chocolate and their coffee as if they were going to grab something at a fancy café downtown, but instead it's at home and I'm the barista. It is quite nice to have for when my wife comes back from work and want something specific, or when we are waiting for the visit of a few friend, they can order exactly the available beverages and everything is ready when they're here.

It was also a good playground for me to implement Web Push notifications (to never miss new orders).

It's a basic Nuxt 3 app with Appwrite as the backend with rough edges, but much enough for our household use !

If you want to spam my phone with notifications, please visit my café : https://mytinycafe.com/alix

I'm working on porting KiCad to the browser. It's a lot of sweat and tears, multithreading issues and some more sweat. I've updated a port of WxWidgets and now I support all the features KiCad needs with ~200 tests.

Right now I have a build that loads in the browser, but I really want to have "multithreading" which means workers in the web. One can use asyncify with emscripten to translate blocking C++ to WASM, but that transition is not perfect, right now I'm debugging a bug where there's a race condition that halts all execution and the main thread runs in an infinite loop waiting for the workers to stand up. I guess I'll have a few of those ahead.

The main goal is to 1. just have fun 2. use yjs as a collab backend so multiple people can edit the same PCB. This will probably work with pcbnew, KiCad's layout editor, since it has a plugin system and AFAIK I can do the sync layer there. For the rest ( schematic, component editor etc. ) I'll have to figure out something.. KiCad does not sync automatically if you modify a file, I'll have to do some lifting there.

Anyway, it's a lot of fun, I really want this thing to exist, I'm hoping that I won't run into a "wellll, this is just not going to work" kind of issue in the end.

https://play.google.com/store/apps/details?id=com.blazingban...

Completely free, no ads, no in-app purchases and no accounts / network required offline voice transcription.

I have also built the macOS/Windows/Linux versions which I'll also make free to download and available on my site soon (https://blazingbanana.com/).

iOS version is built and works (extremely well), just waiting for the Apple Developer signup process to complete.

Big shout out to https://github.com/mybigday/whisper.rn and https://huggingface.co/ggerganov/whisper.cpp/tree/main for making this even possible.

Any suggestions are welcome.

I shared this last month, but I’m still having a lot of fun working on it.

I made a daily word puzzle called Tiled Words.

https://tiledwords.com

Currently about 2,000 people play every day and I’ve released 59 puzzles!

One feature I’m excited about is crowdsourcing puzzles. Today’s puzzle is a “community puzzle” made entirely from clues that players submitted! I plan to do this every week or two.

I wrote about launching and the first month of puzzles if you want to learn more!

https://paulmakeswebsites.com/writing/a-month-of-tiled-words...

I'm working on https://techposts.eu - Hacker News for Europe.

Focused on all the interesting and exciting happenings in tech here, from AI to defence to deeptech, and posting the most interesting job openings too. Did you know Europe had two space launch startups? I didn't until I started this project!

Feedback very welcome :)

I'm working on "Cargo but for C".

It started out as something marginally more useful than vendoring your dependencies as submodules + baking in the knowledge of how to build a bunch of common projects.

I realized, though, that there was somehow a huge gap in the insane world of C build tools. There's nothing that:

- Lets you pin really precisely and builds everything from source (i.e. no binary repository)

- Does not depend on either a scripting language or a completely insane DSL (Conan uses Python, CMake is an eldritch horror, ditto Make, lots of other tools of course but none of them quite hit the mark)

- Has a good balance of "builds are data" and "builds are code".

Anyway, it's going great. There are, of course, a ton of problems to solve. Chief among them is the obvious caveat that C is not a monoculture like Rust. There will be zero upstream libraries that use this tool natively. But I don't think it matters. I think I can build something which is as much better to the existing tools as, say, UV was to existing Python tools, even with that disadvantage.

I'm building a web-based local multiplayer party game platform. It's like a lovechild of Jackbox Games and Mario Party: https://gamingcouch.com. We just won silver at the Big Indie Pitch competition as well!

- Currently in free Early Access with 18 competitive mini-games.

- Players use their mobile phones as controllers (you can use game pads as well!)

- Everything is completely web-based, no downloads or installs are necessary to play

- All games support up to 8 players at a time and are action based, with quick ~one minute rounds to keep a good pace. This means there are no language based trivia or asynchronous games!

- In the future we plan to open up the platform for 3rd party developers (and Gamejams!) as well. We take care of the network connectivity, controllers etc.. 3rd party devs can focus on developing cool multiplayer mini-games without spending an eternity with networking code and building the infrastructure.

Interested to hear if this resonates with Hacker News readers!

I’m working on a video game, purely for fun.

Here is a work in progress build:

https://muffinman-io.itch.io/space-deck-x

It is a combination of a shoot-em-up and deck building. You fly and shoot until you get to the boss, when you get your deck out to fight them.

That genre combination is definitely too ambitious, but I think it is fun to play and I’m enjoying making it.

I have a bunch of ideas how to combine the two parts better. But over the years, I’ve learned to control scope creep and actually ship pet projects.

Right now I’m in a middle of changing how enemy waves are spawned. After that I want to make a short tutorial and add two more bosses as well as more enemies.

If you end up playing it, please share your feedback I’ll be glad to hear it.

The game is made using Kaplay, a game dec library which brings me joy to use. I can best describe it as my friend described Pico-8: “easy things are easy”. But compared to Pico-8, Kaplay doesn’t have virtual console limitations and comes with a big library of components. Try it out, the community is small, but the library itself is really fun and easy to use.

EDIT: For context, this is about two weeks of work, in the evenings when my kid is asleep.

Working on a TUI tool which demonstrates the behaviour of X86 SIMD instructions. This is all done in Go assembly, and is probably most valuable for Go programmers.

The problem for me was trying to read and understand the implementation of a swiss map implementation. The SIMD instructions were challenging to understand and the documentation felt difficult to read. I thought that if I had an interactive tool where I could set the inputs to a SIMD instruction and then read the outputs, understanding the instructions would be much easier.

This turned out to be true.

Building this tool for all AVX/AVX2 instructions turned out to be a larger task than I had expected. Naively I just went off a Wikipedia page on AXV and assumed it had listed all the instructions (this was a bad assumption).

I am nearly there. Looking forward to completing this project so I can actually use it to do some fun stuff processing text and maybe even get back to that swiss map implementation.

https://github.com/fmstephe/simd_explorer

(This is also my first attempt at a TUI app)

Just launched my gaming portal a few weeks ago, featuring over 200 games I've made over the years:

https://ookigame.com/

All the games were either developed with libGDX or threejs. I have no plan to monetize yet and still work on building traffic and improving SEO. Surprisingly, I got approved for google adsense already, which I submitted just for experimenting.

https://plimsoll-line.app

I learned that ships have a "max load" line (or Plimsoll Line) https://en.wikipedia.org/wiki/Load_line_(watercraft) to prevent overloading them with cargos, but my todo list didn't. So I built an app to surface my emotional load and put mental health above raw productivity.

I am experimenting with the concept of giving each item in the iOS Reminders app an impact multiplier between -1.0 and +1.0 to assign them "weights". The net weight of the todo items should indicate my overall mood or emotional burden. If it doesn't maybe I have yet thought about what's making me feel good or bringing me down. The net weight is visually represented by the "water line" that rises the more into the negative the net weight becomes. I'm thinking of adding features to nudge me into addressing the rising water line.

And since I want to lower my own stress and anxiety using this app, there is no signup or subscription. No data collection other than the bare minimum to make the "tip jar" working through the App Store IAP, so no PII collection.

Do you think you'd find this approach to be helpful for managing your own anxiety level?

(Edited to add a bit more clarification)

I built a free USCIS form-filling tool (no Adobe required)

USCIS forms still use XFA PDFs, which don’t let you edit in most browsers. Even with Adobe, fields break, and getting the signature is hard.

So I converted the PDF form into modern, browser-friendly web forms - and kept every field 1:1 with the original. You fill the form, submit it, and get the official USCIS PDF filled.

https://fillvisa.com/demo/

What Fillvisa does:

- Fill USCIS forms directly in your browser - no Adobe needed

- 100% free

- No login/account required

- Autosave as you type

- Local-only storage (your data never leaves the browser)

- Clean, mobile-friendly UI

- Generates the official USCIS PDF, ready to submit

- Built-in signature pad

I just wanted a fast, modern, free way to complete the actual USCIS form itself without the PDF headaches. This is a beta version

I’ve been working on a custom RTOS for Cortex-M for the past 10 years: https://github.com/raphui/rnk It started as a way to learn RTOS internals, and over time it has grown into something with lots of nice features. I’m even using it in a dirtbike anti-theft tracker I am building. Also, 2 months ago, I did a weekend challenge to build an embedded software parameter DSL and compiler. Its goal is to let firmware developers define configuration values, thresholds, constants, and other application-level parameters in a structured, human-readable format, and compile them into binary data that the firmware can directly use. https://github.com/raphui/epc

Happy to get any feedback :)

I started a challenge I call “Dopamine Detox December” in which I stopped doing certain things to stop dopamine stimulants: - No social Media - No news - No video streaming services (such as YT, Netflix, and Amazon Prime) - No electronic and energetic music

The first days were so hard but now I’m getting used to it. I documented it here: https://ramezanpour.net/post/2025/12/11/dopamine-detox-is-ha...

Want to put local history on a map, so when I go somewhere I could ideally just open this webapp and immediately get presented with cool or interesting history that happened close by.

Currently spending time establishing relationships with historical societies, as I really need them to contribute points of interest, and stories. Many of these societies are run on a voluntary basis by 70+ year olds, so it's a long process. Getting some good responses eventually though, so it might actually go somewhere, just a lot slower than I want.

Also still doing https://wheretodrink.beer, but haven't added anything of note since playing on this other project.

And react2shell was a blast

I am working on a self-hostable borrow store management system: https://github.com/leihbase/leihbase.

I am running it in my city for a library of things. We hope to help people abstain from buying things they only need once a year.

It includes a reservation system, and an dashboard to manage those reservations in the shop. Currently I'm expanding it with a proper product management interface.

Bedtime Bulb v2 [0], a light bulb that emits less blue light than other lighting, is finally shipping. It took years to get it right, but we figured out how to make a relatively energy efficient bulb that emits infrared and dims smoothly with any dimmer.

My team is also about to ship Atmos [1], a lamp for the bedside that automatically shifts from higher-blue light during the daytime to low blue light at night.

[0] https://restfullighting.com/bbv2

[1] https://restfullighting.com/atmos

I'm working on an affordable SaaS platform for small and mid-sized fabrication shops across the US and Canada. It automates quoting and production for sheet-metal and CNC jobs and can handle pretty much any CAD format, even full assemblies. On the AI side, we've got a mix of models doing the heavy lifting: a tuned geometric transformer for feature detection, a graph neural net for topology, and a vision model for mesh segmentation. All that ties into our custom CAD logic for geometry parsing, 2D nesting for laser/machining, and 3D nesting for forming and packaging. The whole idea is to level the playing field so smaller local shops can compete with the big instant-quote guys without needing an in-house dev team.

Making a first aid kit for stingray stings! If there are lifeguards nearby they’ll usually treat you, but we think it would be nice to have a “go bag” in the back of your car for scenarios where there aren’t lifeguards (remote beaches, or after sunset, etc). The standard of care is to clean the wound and submerge it in water around 110-120F for 1-2 hours. We’ve been researching the best, safest method to get that heat, and working on putting a package together. Here’s our first attempt:

https://mydragonskin.com/products/stingray-treatment-kit

I'm working on a postcard maker for museum collection artworks in the creative commons. It's in a phase where I'm looking to get feedback from people who might like to use it. Right now it only sends mail in the US. I've integrated the Met, Cleveland Museum of Art and AIC, with an experimental feature for Wikimedia Commons.

You can find the CC0 postcard app here: https://sweetpost.art/ but if you want to go the extra step you can install the Chrome extension and see what comes up: https://chromewebstore.google.com/detail/new-tab-new-art/old...

edit to add Firefox addon: https://addons.mozilla.org/en-US/firefox/addon/new-tab-new-a...

If you want to send a postcard you can use the promo: 1BUCK to send a postcard for a dollar to whoever in US. Any feedback or questions are welcome.

https://dealgorithmed.com/

Working on a new newsletter to encourage people get off social media by helping them discover all sorts of random interesting sites that exist out on the open web.

I want to build a complete radio station managed by an AI agent. It’s still at the idea stage right now: https://github.com/baturyilmaz/agent-radio

The idea is simple, but I think it could be really cool: an autonomous agent that actually manages an entire radio station. It creates its own shows, play copyright-free tracks, shares the daily program schedule on social media and the website, and later I want to add guest appearances too and live 7/24.

https://meetlace.ai - LACE, a self-organising research companion for long-horizon inquiry.

With LLMs, generating ideas and snippets is cheap; what’s hard is keeping track of fragments with their “why I cared” context over months. Most tools (Notion/Obsidian/etc.) assume you will do the work (folder/tag/linking) structure will maintain it forever. I don’t.

In LACE we: – capture fragments from the web via a browser extension – auto-cluster them into evolving “threads” / projects with summaries & reading lists – maintain a graph of connections across threads (“topology of attention”) – let you turn a cluster of fragments into an essay draft when you’re ready to share.

Stack is a fairly standard web app + LLM pipeline. Used neo4j's llm-graph-builder as a starting point.

The interesting bit is self-organising graph. treating fragments/questions/lines of inquiry as first-class objects and letting the system reorganise around them over time instead of fixed folders.

It’s in a small test phase right now. If you’re a researcher/writer/engineer/founder who constantly loses good ideas in your notes and want to try something opinionated in this space, I’d love feedback.

background write-up: https://open.substack.com/pub/ozthinks/p/from-fragments-to-i...

I’m self-teaching modern C++ by developing a native music library manager and player for Windows, macOS and other Unix systems. The main focus is on the 100% custom UI (with Direct2D/CoreGraphics/Cairo backends), aiming for responsiveness, power-user friendliness and compactness. The UI thread is absolutely sacred and I’m trying really hard to separate the core logic from the UI, because I hate how laggy and hang-prone all players I’ve tried are. I’m drawing inspiration from pre-2010 skeuomorphic and dense UIs. Key features include fast incremental imports and powerful UI elements with features like multiple column sorting, multiple element selection and keyboard-first navigation. I understand this problem is already solved, but I’m starting to DJ and curate my personal music library again. So far, nothing has been more satisfying than an old unsupported version of iTunes that doesn’t even support FLAC. I’ve tried foobar2000 but it doesn’t meet many of my requirements. Therefore, I’m building this software both because I have a need and because writing it is very fun (and frustrating at times)!

I’ve written a PoC already (mind the crappy and incomplete UI), mostly to test the wild custom UI idea, and it’s working so far! https://i.redd.it/ocx9m5av6d6g1.jpeg

A Jellyfin client written in Rust, specifically for music. Most existing clients are electron or web based and I wanted something native.

https://github.com/Fingel/gelly

Available on Flathub: https://flathub.org/en/apps/io.m51.Gelly

S&P 500 correlation matrix (created with Svelte).

Currently trying to better contextualize the visible subregion of the matrix in relation to the full dataset (beyond what the current minimap does).

https://cybernetic.dev/matrix

I've been slowly building a website full of daily puzzle games (https://regularly.co/). I built the first game for my wife (https://regularly.co/countable) which she plays every day. Floored is my personal favourite, I find it deceptively challenging

Working on making Rust accessible to all with engaging content

https://aibodh.com/posts/bevy-rust-game-development-chapter-...

https://aibodh.com/posts/bevy-rust-game-development-chapter-...

https://aibodh.com/posts/bevy-rust-game-development-chapter-...

I'm currently making a number of "breadboard-able" analog computing modules.

I've always loved electronics since I was a kid (still trying to learn). As I explore and learn I've begun to make these small "breadboard helpers" [1]. (Just one on Resistor Transistor Logic (RTL) right now.)

An obsession over a project in a 1970's hobbyist electronics magazine sent me down the rabbit hole that is (was) analog computing. So I have been bread-boarding and prototyping small analog computer modules.

I'm in the PCB-layout stage for the modules and hope to have them ready early next year.

[1] https://www.circuitpixies.com

https://github.com/manuelkiessling/Camera2URL

https://apps.apple.com/de/app/camera2url/id6756015636

Camera2URL is, as far as I know, the only iOS and macOS application that let‘s you send the picture taken with the camera directly to any HTTP endpoint the moment you press the trigger.

For example, this makes it possible to trigger an n8n workflow the instant you take a photo:

https://www.youtube.com/watch?v=Y5nCw8NY8zk

Building a simple service that allows one to post live activities to mobile devices (iOS to begin with).

It started as something I wanted to build for myself. I have a Bosch dishwasher that lacks any glanceable indication of how far along it is. Bosch provides an app, but checking the progress takes too long to be useful.

I figured live activities was a good fit, and then realized that I am not alone in wanting something like this. So, I am trying to make it into something usable for all the home automation tinkerers.

https://getaivi.app

I'm currently working on something that lets you describe a hardware product in plain English and get actual manufacturable files out — PCB, enclosure, firmware, the lot.

Very early days still. Whilst I created a fork of toon for Kicad (called TOKN (https://www.mikeayles.com/#tokn)), with the intention of using a reduced token format to generate schematics using LLM's, I could get the models to follow the syntax correctly, but they didn't have the knowledge. So I was then going to create a whole RAG system, but got distracted by this current project.

There are people out there doing AI schematic generation, like flux.ai (which is incredible (and incredibly well funded)), but 90% of products, especially at proof of concept stage, are basically a microcontroller, some power, probably usb, and some IO, bluetooth/wifi if you're lucky. So we can use a library of pre-validated subcircuits and slots them together on a grid. Routing's deterministic, so if it compiles, it works. (sorry, deeppcb & Quilter!)

The enclosure side is more fun: once the PCB's done you've got real dimensions to work with (board size, mounting holes, where the connectors poke out), so I use an image model to generate some concept art, then feed that to an openscad generating model as visual inspiration alongside the hard constraints.

Basically trying to get a full hardware product pipeline done automatically.

Open source Nerf blaster simulator, for both spring and pneumatic blasters.

https://github.com/btrettel/blastersim

The core simulator part works, but I don't yet have a user interface or documentation. Probably just going to be text input files to start, maybe a GUI later. Recently, I'm mostly working on testing.

The simulator is object-oriented and basically allows one to build up a blaster from separate control volumes and connections between control volumes. This is useful as it allows the same core simulator framework to handle different blaster configurations and even variants of them. For example, someone asked me to make the spring piston able to pull a vacuum on its back side due to not having sufficient flow. That's easy here as I just need to add another control volume and the appropriate connection onto the basic springer configuration.

https://www.dataversion.app/

Lineage-aware. Versioned. Trustworthy Data - for Engineers and AI.

Your engineers waste up to 40% of their time monitoring, investigating and fixing data. Even then you don’t trust the accuracy, source, or freshness of metrics on your dashboard. You wish AI can answer your data questions but it cannot show you proof, or where it came from. AI helps software engineers to move fast and break things, because they can always rollback, with git. But you cannot do that for data. Bad data entering the system, spreads across the company before spotting, and takes weeks to clean up.

DV changes this, giving you lineage-aware, versioned data. It records data-lineage when data is captured, transformed, and committed, at commit/snapshot level. So when things break, DV knows what other data is impacted downstream, and it can rollback the whole chain to the previous state, instantly - no data copy/restore needed. It can also backfill the data across the chain automatically.

With DV, both your team and your AI agents can finally see: - where data came from - how it was transformed - how to revert safely with a single click

Your engineers can move fast on data, without breaking trust. Your analysts can build pipelines by simply describing business questions to AI.

DV is Git for data, so you can focus on your business, putting analytics on auto pilot.

-- Please contact me if you are interested in preview program.

Building pyreqwest, a high-performance Python HTTP client backed by Rust’s reqwest. It has gotten quite feature rich: async and sync APIs, similar ergonomic interface of reqwest, full type hints, and built-in testing/mocking. It has no unsafe code, and no Python-side dependencies. (Started after getting too annoyed with all the issues httpx has.)

https://github.com/MarkusSintonen/pyreqwest

https://colocataires.dev/

Trying to build a small-scale ISP/hosting provider domiciled in Canada. We really want to be able to rent real rack space to enthusiasts who would like to benefit from having stuff in the datacenter but don't want to take on the opportunity cost to get started. It came out of my own desire to have a machine in a DC rack.

This week we've been writing a bunch of "reviews" of self-hostable software since a lot of our friends are curious about this space but don't have a good understanding of how to get started. https://blog.colocataires.dev.

I've been building Hypertrophy, an iOS-native workout app. I've always wanted a simpler, cleaner experience than Strong (on which I've done over 1000 workouts) so I built my own.

I've tried to make it look and feel at home in iOS and I like to think of it as a Notes app for the gym—it does very few things and does them well.

It's completely free with no ads because I'm not a fan of how other workout apps charge you for a basic workout experience.

I've just finished up the Import from Strong feature and would love any feedback on it!

https://apps.apple.com/au/app/hypertrophy-gym-workout-log/id...

I have just released a map of median rents in Berlin [0]. Now I'm improving it. I want people to enter their search criteria, and get an idea of how rare and expensive their desired apartment would be.

This will help people set clear expectations for their apartment search.

[0]: https://allaboutberlin.com/tools/rent-map

1. Vibe coding a microcontroller firmware project. I'm using "vibe coding" in jest here because I'm actually an experienced coder, but this was a chance to try using the AI coding assistants for a clean sheet project at minimal risk. I'm going on 63, and could easily finish my career without AI, but where's the fun in that?

One amusing thing I've noticed is that every time the AI generates code with a hard coded hexadecimal constant, it's a hallucination. My son suggested feeding all of the chip datasheets into the AI and see if the constants improve.

2. Finally converting my home semi-hobby electronics business (something like a guitar effects pedal) to machine assembled circuit boards.

Simplification of my digital self. Removed most of my online accounts. Removed all my VPS's. Removed most apps from my phone except core ones. Cancelled a lot of online subscriptions.

In the real world finally moved everything to USB-C. Gave all my old cables away. I have two chargers in my home and a handful of C to C cables. Everything connects to everything now.

Home is now downgraded to a dumb home. Lights work on physical toggles. No hubs or sensors anywhere. Heat and AC is with a dumb panel on the wall.

It feels freeing.

Open sourcing a system where you might have notes in markdown to build a knowledge base, and review them according to a schedule, but also Anki like flash cards attached to each note.

All notes are simple markdown file stored locally.

I’ve been using it to benefit my research and make the knowledge to stick better on my head for several years. My base is more than 400 markdown notes now, and I sync them to a private GitHub repository.

https://github.com/odosui/mt

https://pistepal.app/ - a ski map app - built at breakneck speed over the last few months. I believe this is the only ski map app that offers turn-by-turn navigation!

Screenshots in the App Stores, e.g. https://apps.apple.com/us/app/pistepal/id6754510927

Still a little bit rough around the edges but hopefully will be / is in decent enough shape for the start of the ski season (just about happening now..)

Currently figuring out the right balance of free tier & daily trial. Priced at $10/month and therefore significantly undercutting the competition, hopefully this is enough to gain entry into the market. (May need a more generous daily trial though, admittedly 10 minutes is not really enough to actually try it out on the mountain).

Seems ad spend is necessary to get any kind of traction...

Feedback welcome!

https://www.beatsync.gg/

I launched this on HN over the summer, but it's millisecond-precise audio synchronization for multiple devices, performed purely in the browser! I'm sitting at around 5K daily active users now. Also, it's open-source!

I'm writing a toy eigenvalue solver in Rust using the QR algorithm. I didn't intend to, but I recently discovered the Gershgorin Circle Theorem and thought it'd be neat to create an interactive visualisation for my [blog](https://abstractnonsense.xyz).

I don't like JavaScript, and I've been meaning to learn Rust for a while, so I'm compiling the Rust algorithm to WebAssembly to run in the browser natively! It's been a fun trip back into the arcane world of numerical algorithms and linear algebra!

Just launched a restricted browser for kids for iOS: https://weblock.online Now testing on my kids. The idea is that the browser is whitelist-only, so kids can open only approved websites. I receive a notification when they want to visit an unknown website and I can allow or deny it. Works great for my family, hope it will be useful for someone else.

I’m kicking off my 2026 book club! It’s probably a bit different from book clubs you’re familiar with.

Each of us is reading sixty books over 2026, five a month, where every book is self selected by each member.

It’s small, six people, all brought in by application only.

You can check out our shared bookshelf here! (Heavy inspiration from Stripe Press)

https://bookshelf-bookclub.vercel.app/book/cmj4pfpom001gqsbj...

(swipe left/right on mobile, up/down arrows on pc :))

Embar: https://github.com/carderne/embar

A Python ORM, inspired by Drizzle and the like. Whenever I come to Python I'm frustrated by the ORM options. They generally lack type-safety on inputs and outputs, or useful type hints.

SQLAlchemy is an institution but I think it's hard to use if it's not your full-time job. I check the docs for every query. I want something simple for the 80-99% of cases, that lets you drop easily into raw SQL for the remaining %.

I'm going to keep hacking at it, would love to from anyone who thinks this is worthwhile (or not). Also: - The interface for update queries is clunky. Should I add codegen? - Should I try to implement a SQL diffing engine (for migrations). Or just vendor sqldef/similar...?

Making a totally unnecessary and overly elaborate magic item system for my game https://www.chesscraft.ca based on Diablo 2 items. Is it the most reasonable next thing to do to expand the business and monthly revenue? Hah, no.

But unlike my day job, this is my project and I get to do what I want. This is my code therapy.

Some months ago, I saw a tweet from @awilkinson: “I just found out how much we pay for DocuSign and my jaw dropped. What's the best alternative?” Me being naive, I thought “how hard could would it actually be to build a free e-sign tool?”

Turns out not that hard.

In about a weekend, I built a UETA and ESIGN compliant tool. And it was free. And it cost me less than $50. Unlimited free e-sign. https://useinkless.com/

I am still plugging away at https://threeemojis.com/en-US/play/hex/en-US/today , a daily word game for language learners.

Since hacker news last saw it, it’s been translated into English, German, Spanish and Chinese. If, say, a Chinese speaker wanted to learn more English words, then they could go to https://threeemojis.com/zh-CN/play/hex/en-US/today and play the game with English words with Chinese definitions and interface. This is the first cross language daily word game of its kind (as far as I know), so it’s been a lot of fun watching who plays which languages from where.

The next challenge that I’m thinking about is growing the game. The write ups and mentions on blogs add up, the social sharing helps, but I’d really like to break into the short form video realm.

If you read interviews from other word game creators, every successful game has some variation of got popular riding the wordle wave, or one random guy made a random TikTok one time that went super viral, and otherwise every other growth method they have tried since then hasn’t worked that well and they are coasting along.

So, sans another wordle wave, I am working on growing a TikTok following and then working on converting that following into players, a bit of a two step there, but that’s how the game is played these days. https://www.tiktok.com/@three_emojis_hq for the curious. Still experimenting and finding video styles and formats that travel well there. Pingo AI and other language apps have shown how strong TikTok can be for growth, so I think there’s something there. That’s all for this month!

I'm working on Mutacortechs, an ALife simulation where "organisms" each have their own emulated 16-bit processor with 64K RAM. Like Core Wars for the 21st century. It's a small project compared to what some others here are working on, but it's an order of magnitude larger than anything this embedded EE has ever written. I have the ISA designed, assembler complete, emulator stage 1 complete (160/204 instructions implemented), and the start of the simulation working. Last night I wrote a program in custom assembly for an "organism" that looked around, found food, moved toward it, and ate it. I'm pretty excited by the milestone!

For the past week, I’m working on creating device with a screen to show my indian parents if i’m in a meeting or not. So they don’t trouble me and come in my room unannounced when im in a meeting.

It’s build using ESP32 and a small screen which shows On and Off and the time till meeting is over. I learnt Fusion 360 and designed a small snap fit case and got it 3d printed.

I have a small electron app running in my mac os system tray which connect to esp using BLE and it also checks if Mac Camera is in use (using Apple logs) and then communicate it with the device.

Calling it Door Frame. Had quite fun making it as i learnt 3d design, c++ code using Platform IO and other fun stuff. Even designed a small binary protocol to exchange data over BLE

Working on a low cost email service. Ditched Gmail for my custom domains to avoid lock-in risks, and I believe devs really need stupid-cheap ($10/yr 5GB, unlimited mailboxes/domains/aliases/SMTP/IMAP/webmail) high-quality hosting that nails deliverability with zero spam tolerance. Bootstrapped this instead of pricier options like FastMail. Thoughts?

https://www.lowcostmail.com

I'm working on a hardware/software utility to play Switch/Switch 2 games remotely with my brothers. I found a way to emulate a Switch Pro Controller using a Raspberry Pi Pico based on several different sources (look in the README for more info). I used that to write a firmware for the Pico (with the help of GPT Codex 5.1).

Then I wrote a Python program that connects whatever controller my brothers want to use (as long as it's supported by SDL2.0) and forwards that data from their computer, through Parsec, through a USB-UART adapter, to the Pico, then to the Switch. I then have a low latency capture card (Magewell Pro Dual HDMI I got off of ebay for $100) forwarding the video and audio from the Switch to my PC which I share to my brothers via Parsec. The audio was a bit tricky to get right, and ended up having to use a Virtual audio cable and Voicemeeter potato (a software audio mixer) so that both myself and my brothers could hear the audio.

It works surprisingly well and the latency is pretty low. I even got rumble working! (but not motion controls. If anyone wants to attempt it, I will accept PRs). I haven't done any formal benchmarking for performance, but my brothers and I were able to play Smash Ultimate without too much bother about latency.

You could also use the accessory Python library I made to automate switch controller presses (look in the examples directory). Might be useful for TAS speedruns?

The project is here for anyone interested. It's a bit rough and needs some cleanup and maybe a video tutorial on remote setup. But here is the WIP:

https://github.com/jyapayne/switch-pico

I've continued to work on an open-source containerized agent framework called Capsule Agents. Lots of progress this month and I have my first one live in my homelab! I'm training for a marathon and its able to send a discord message every morning with the workout on my schedule and the "why" behind it.

Here's the elevator pitch for the framework:

Its built around 3 key ideas I've dealt with inside the agent ecosystem 1. Agents become far more capable when they have access to a CLI and can create or reuse scripts, instead of relying solely on MCP.

2. Multi-agent setups are often overvalued as “expert personas” but they’re incredibly effective for managing context, A2A is the future.

3. Agents are useful for more than just writing code. They should be easy for non-engineers to create and capable of providing value in many domains beyond software development.

If that sounds interesting take a look! https://github.com/brycewcole/capsule-agents

I'm building a utility to help DJs find "play-out" versions of tracks they already like[1]. You can play with it here[2]. Streaming services are optimized for Radio Edits. But to actually mix a track, I usually need the Extended Mix, Club Edit, or a specific Remix. Manually searching for the "DJ version" of every single track in a 50-song playlist is tedious administrative work that kills the joy of digging.

Remixify automates the search while leaving the selection to you. You paste a Spotify playlist URL, and it helps you or provides you a good starting point for digging. It groups the results by the original track so you can quickly preview and save the versions you want to a new playlist.

We don't try to recommend new music or use AI to guess your taste. It just finds the usable versions of the music you already selected.

[1]https://github.com/kwakubiney/remixify

[2]https://remixify.xyz/

I just released the first alpha version of my RISC-V hobby kernel, written in Ada: https://github.com/ajxs/straylight

My next step is documenting how all of the subsystems work (such as virtual memory, allocators, drivers, etc.), then lay the project to rest. I don't have any grand ambitions for the kernel. The project was just a labor of love, and a way to learn some interesting things! Hopefully some of the documentation can serve as learning material for other people interested in osdev.

For a long time I've been looking to solve the repetitive schema pattern issues in SQL. This week I created a DSL that allows parametric polymorphism for SQL, and I wrote a compiler for it.

Source code and playground here: https://github.com/BarishNamazov/gsql/

Background blog here: https://barish.me/blog/parametric-polymorphism-for-sql/

Feedback is super appreciated!

Working on Bold (https://boldvideo.com)

Video intelligence platform for coaching programs and training companies. The problem: these businesses sit on 200-500+ hours of video content that becomes a "content graveyard" - students can't find what they need, coaches burn out answering the same questions, churn stays high.

We do deep transcript + metadata extraction, then layer RAG search and an AI assistant that can answer questions with timestamped citations back to the exact video moment. Think "ChatGPT for your video library" but with accurate sources instead of hallucinations. Tech: Phoenix/Elixir backend, Next.js portals, two-tier RAG architecture.

Currently serving a few coaching programs in high-touch sales mode. Would love feedback from anyone who's built RAG systems over media content - curious how others handle the signal extraction problem (transcripts are noisy, you need to identify what's actually being taught vs filler).

A fully automated time-tracker that feeds screenshots into llms to help you spend your time where it matters to you.

https://donethat.ai

With lot's of built-in data privacy safeguards https://donethat.ai/data

Also made an overview of similar tools out there https://donethat.ai/compare

Recently broke on Linux with a Wayland security update, working on a fix! Using Electron for cross-platform.

I'm working on Lumi AI (https://apps.shopify.com/lumi-ai-seo-alt-text), a Shopify app that automates product content generation (descriptions, SEO titles, meta tags, and alt text).

The main problem we're tackling is the quality of automated content for large catalogs. Instead of just spinning existing keywords, we use Vision AI to analyze product images directly. This allows us to generate accurate, accessible alt text and detailed descriptions based on what the product actually looks like.

To avoid the "generic AI" feel, the app also crawls your existing store content to build a custom brand voice profile, ensuring new content matches your established tone.

Key features: • Vision-based generation: Analyzes images for context-aware descriptions and alt text (WCAG 2.1 AA compliant). • Brand Voice Intelligence: Learns from your previous writing style. • Bulk Processing: Handles up to 500 products per batch with real-time tracking.

We have a free tier (20 credits/month) if you want to give it a spin. I'd love to hear your feedback on the "Vision AI" output quality versus standard text-generation tools!

https://techtalksweekly.io/

I'm working on Tech Talks Weekly which is a free weekly email with all the recently published Software Engineering podcasts and conference talks in the past 7 days.

Every week I pull all the new talk recordings from hundreds of conferences (Devoxx, KubeCon, PyCon, QCon, LeadDev, JSNation, and many more) and even more podcasts podcasts. I feature the ones I think are must-watch with short summaries written by me, then include a list of everything else uploaded that week.

It started as a personal project to fix my own messy YT subscriptions and RSS feeds and now 7,500+ people read it.

I also publish extra editions from time to time like “The Most Watched Talks of 2024” which made it to the HN front page.

If you watch software engineering conference talks or listen to podcasts, you might find it useful.

I’d love to know what you think!

https://mythos.so/

an AI-native book reader that actually understands what you’re reading.

You highlight text, and the app infers intent and surfaces the right actions inline.

Examples:

Highlight a confusing paragraph → auto-suggests questions like “what does this term mean?” or “how does this relate to earlier chapters?”

Highlight a name → instant character context (no spoilers)

Highlight an argument → concise breakdown, assumptions, counterpoints

It works across EPUBs, PDFs, and papers, and the core rule is: AI should be assistive, never intrusive. No prompts required, no context switching.

Built it because I read a lot of dense material and hated breaking flow.

https://codeboards.io

I built Codeboards, a developer portfolio that updates itself automatically from your GitHub, StackOverflow, LinkedIn, and more. Most dev portfolios are outdated, manual, and painful to maintain. GitHub alone doesn’t show who you are. LinkedIn is noise. Personal websites die after 6 months.

I'm writing https://github.com/controversy187/kerbalbook, which aims to be a hobbyist's guide to orbital mechanics, spaceflight, and maybe astrophysics. All this through the lens of a Kerbal Space Program walkthrough.

I built https://nofone.io . I ingest health insurance policies and provide insights to insurers on how to improve them and doctors to know what insurers expect to see in documentation and evidence. My hope is to improve the denial situation and standardize medical necessity criteria down the line.

I started a project involving several aviation tools while doing ground school for my private pilot license. It started as a way of learning the maths, and a replacement for the E6-B computer.

It is opensource, all the computations are done on the client side,

https://github.com/jfromaniello/joseflys

https://joseflys.com

An example of navigation https://joseflys.com/s/UGaIwnEY

Making a realism game mod to Battlefield 6, which recently came out.

If you have played military sim (Milsim) games like Project Reality, Squad or Arma you might appreciate it.

Its quite cool how the game devs have made a lot of tooling to use; they use Typescript to hook into in-game events and functions.

There is a whole community making lots of content too:- https://bfportal.gg/

Currently I am working on an insurgency game mode; where one team has to defend some caches and use guerilla tactics, whilst the other team has a smaller size but the advantage of firepower and vehicles.

Hopefully have it released by Christmas time.

I’m finishing up Haskell Brain Teasers (https://pragprog.com/titles/haskellbt/haskell-brain-teasers/)

It’s much shorter than my first book, Effective Haskell, and leans more advanced, especially toward the end. Although the format is puzzle focused I’m trying to avoid simple gotcha questions and instead use each puzzle as a launchpad for discussing how to reason about programs, design tradeoffs, and nuances around maintainability.

I'm working on building out a microservice ecosystem on OCI. I'm not formally educated so I just sort of stack things up and tear them down. I hardened my server and I am running dockerized services. I'm also running a web server that hosts the very start of my long-term personal site. It's been pretty challenging, illuminating, and down right fun. I've been putting down the controller for a terminal!

Seriously, I'm very proud of myself for the little I've accomplished so far. I don't have friends in tech so I don't get to talk about it or bounce ideas off people.

Thanks for letting me get that out!

https://meetinghouse.cc

A place to find and be found for twitter users only right now. As a silly project I am trying to make not a social network, but an extension of another social network. So far its going OK. It also functions as a link-tree like site with profiles: https://meetinghouse.cc/x/simonsarris

Eventually I might open it up more widely, or make a different globe per social media network.

Purposefully not building software but cold calling 100 businesses in my niche. Starting at 1 call per day for 10 days, then 2 calls per day for 10 days, then 2 conversations per day for 10 days, and scaling up until I reach 100 calls. Exposure therapy as well as product discovery wrapped in one.

I'm experimenting to see if frontier LLMs can do practical CAD modeling. I'm starting with a single task: designing a wall mount for my bike pump in OpenSCAD or CadQuery (two code-based CAD systems).

None of the frontier LLMs (Gemini, ChatGPT, Claude) produce usable designs when just prompted with some photos of the pump and a written description of the mount. I'm now building a simulator in Mujoco that the LLMs can use to test and iterate on their designs to see if they can do better in this setting.

I'm hoping to make an interesting blog post of it and maybe end up with a usable wall mount design.

Publishing everything local councils do in the UK at https://opencouncil.network - trying to help people feel like they know who and what they’re voting for next May.

It’s been incredibly rewarding to see people’s changing opinions of their local government

I'm working on a Unicode visualization tool [note 1]. It's meant to visualize transformations and relationships between characters, as well as connect everything directly to the exact lines in the Unicode Character Database (UCD), which defines these relationships. The UCD is a series of text files, it also has an XML version.

I love online Unicode tools, serious ones and silly ones, and I use them often for fun or for development. What I see online is that few technical people have a good understanding of Unicode, or have big misconceptions about how it works. I'd like to change that, through visualizations and direct links to the data sources (the aforementioned UCD) and links to the Unicode documentation (which is well-written but can be difficult to navigate or even find).

I've worked a lot on it, but I'm totally stuck again. I get too zoomed in and it's hard to see the big picture, plus it's difficult to know how much effort I can realistically put in because I don't know how big the market is. It's a niche tool, but how niche? Would anyone pay for it? But I'm not sure how to do market research, especially for a niche like this. Any advice would be appreciated!

1. The initial idea was based on this post I made in 2024: https://news.ycombinator.com/item?id=42014045

https://github.com/magikrun

Back in 2020, while federating more than 100 service meshes across on-prem and AWS for a big hybrid cloud project, I had an idea: what if we could "split" the CAP theorem in a way that flips its limitations, enabling massive scaling far beyond traditional consensus protocols? Fast-forward five years:I started prototyping with libp2p, but the networking layer was always just a means to an end; the real goal is that CAP inversion/split for extreme distributed scaling. I think the timing is perfect given current geopolitical pushes.

Super curious to hear thoughts from folks. Any pitfalls I'm missing? Open to feedback or collaborators.

I’m working on a Free and Open-Source Invoice Generator: https://easyinvoicepdf.com/?template=stripe

GitHub: https://github.com/VladSez/easy-invoice-pdf

Features:

- No sign-up, works entirely in-browser

- Live PDF preview + instant download

- VAT EU support + custom tax format coming very soon

- Shareable invoice links

- Multi-language (10+) & multi-currency

- Stripe and default templates

- Mobile-friendly

Would love feedback, contributions, or ideas for other templates/features.

just finished a organization project for my wife.

its a web app where you make boxes, add images or text of what's in the box. then get a qr code that you can tape to the box and scan to see the text or images in the web app.

hoping to make it a lot easier to look for things in the storage unit. instead of removing all the totes and looking in them. Just scan and see if the description fits what I'm looking for

Hyperclay: a way to package up HTML files as portable, editable apps that contain their own editable UI. I'm using these simple apps to plan, edit emails, write blog posts, and a lot more. I edit them on my mac and they sync to the web live.

It feels like being able to design my own document format on the fly and display it however I want. It's making it painfully obvious how many editable primitives the web is missing, however.

https://hyperclay.com/

https://micro-arcade.netlify.app/

I have been making a micro-arcade of one button games using a fun little library I found.

It is so fun to just have an idea and implement it in under an hour or two. It is a great creative outlet.

Give them a play if you have a second, they are very rough around the edges but are playable on mobile or browser.

https://micro-arcade.netlify.app/

https://PostalAgent.com – Send personalized postcards online.

Upload a CSV or circle neighborhoods on Google Maps to build your address list (consumers or businesses). Printing and postage included in one price.

In the last 30 days I've added an API plus integrations for Pipedrive, Zoho, and Follow Up Boss. If anyone wants to help test these new integrations, I'll set you up on a special plan and let you send mail at my cost (roughly the price of a stamp).

I am working on two things.

The first is a customizable digital math workbook. Currently the demo covers fourth grade math. There is a practice mode where you can select the skills you to want practice. There is also a customizable dashboard where you can setup your own widgets to practice math skills in different ways. I am working on some pre-made dashboards to help users get started. The next plan is to cover fifth grade math skills. My plan is to cover first grade math up to Calculus and High School Physics. I envision it as a companion tool for Khan Academy/Math Class/Math Books. Check out the demo. No signup required. Progress is only stored locally.

https://demo.numerikos.com/

The second thing I am working on is an application to practice Cangjie. It's a Chinese input method that has been around for a long time. It is based on a visual decomposition of characters. Each character is represented by one to five codes and the majority are unique. My application teaches Cangjie like keyboarding (QWERTY) is taught to young students. You learn the location of the keys, then some basic words, then start typing sentences. I also have a free demo for it as well.

https://demo.cangjieworkbook.com

Feedback on either project would be appreciated.

I'm in crunch mode doing the internationalization and localization of my spreadsheet engine. This is a rabbit hole and a nightmare in Excel, so a big opportunity for us to get this right.

This is the PR: https://github.com/ironcalc/IronCalc/pull/616

Feel free to comment and destroy it!

You can test it in: https://testing.ironcalc.com

https://azayrahmad.github.io/azos-second-edition/

I'm recreating Windows 98 desktop GUI faithfully in pure HTML, CSS, and JS, complete with desktop theming, file management, and some programs recreated from scratch or embedded from existing ports.

It started when I was feeling nostalgic and tried to redesign my website with retro style. Then I found 98.css and OS-GUI and got carried away and now it's a full fledged web OS.

There are some accurate recreation attempts like Minesweeper, Media Player and some screensavers, some with my own spin like ChatGPT-enhanced Clippy and Notepad with syntax-highlighting. I also include some well-known projects such as JSPaint, JS-DOS, and many Emscripten ports.

I'm aware that many retro Windows web recreation exist (98.js.org and poolsuite.net are my favorite), but none of them accurately captured the joy of desktop customization that I look for so I made my own version.

Feel free to fork the project here: https://github.com/azayrahmad/azos-second-edition

I've decided to take a break from working on Pirsch Analytics (pirsch.io) until next year and focus on some side projects instead:

1. Shifu (https://github.com/emvi/shifu) - a code-based CMS with admin UI. It's really easy to set up, written in Go, free and open-source, and I already sold a few websites using it. It can be used as kind of a framework to build more specialized features into a website and takes away the maintenance hell from managing a WordPress installation or a similiar CMS with tons of plugins that break with every update.

2. Zenko (working title, repo is private for now) - a very simple and no-bullshit project management software. It will be free and open-source, but I might offer a hosted option for a few bucks (like $20/year for all users of a team). I mainly build this for ourself to replace Linear, because we don't really make use of it. Don't get me wrong, Linear is awesome, but we basically only need an advanced Todo list. Main goals:

* Pull updates on the dashboard by yourself, instead of receiving notifications all the time via email

* Keep it simple stupid - no unnecessary features, no AI, just the bare minimum

* Cheap (for the hosted version, free if self-hosted) and easy to host (again written in Go)

* No feature-creep

3. Last but not least, I'm working on a "game engine" written in Go and SDL2. I do this for fun, but it is coming along nicely and teached me a few new concepts already (like ECS in Go).

ZenBot Stock Scanner https://www.zenscans.com One-man built and maintained stock scanner that finds stocks with relative strength to the market. It grew out of my early attempts to algo-trade stocks and has a solid community following. Front end is C#/Blazor, back end is a C# console app with intense parallel processing and data aggregation.

https://pocketbasecloud.com/ A low-cost, easy-to-use hosting platform for PocketBase. The selling point is you can get a server with 2vCPU, 4GB RAM for just $7.5/month (also hourly rates available), and deploy unlimited PocketBase instances on a single server (up to its capacity).

You can create multiple PocketBase instances for different environments and projects, all with controllable pricing.

We're working on more features, including: - Choosing the PocketBase version to deploy - Editing hook files from the UI - Server monitoring - Creating an on/off Node.js/Deno/Bun project to avoid complex logic in hooks

I have built a AI powered home improvement platform with live consultation with pros.

I am not sure if I will go live with it.

It allows those professionals experts across the USA provide help to Do It yourself consumers for a fee. Consumers can be anywhere.

So I married sort of like Uber (rent skills) + upwork (rent + fees) + FaceTime + e-commerce. realtime audio transcription that identifies parts you need and builds a list for pros and you to review which you then go shop.

: Meet Handy — AI + Live Experts for Every Fix.

: Instant, intelligent home-improvement help — see it, solve it, and shop for it, all in one live session.

Live Video Calls with Pros Instantly connect with verified experts via real-time video. No scheduling hassle — just point your camera and get help.

AI-Powered Visual Assistance HandyLens AI analyzes what the camera sees, highlights problem areas, and guides both consumer and pro with contextual prompts.

Domain Expertise Specialized AI Packs (Plumbing, Electrical, HVAC, Painting, etc.) ensure every session applies the right technical and safety knowledge.

Actionable Fix Path Each call ends with a clear, AI-generated “Fix Report”: what to do, parts needed, and next steps.

Commerce & Trust Built-In Integrates with retailer catalogs for instant part links, and captures verified pro ratings and summaries for quality assurance.

https://bobalearn.org/

Site where you can read and generate graded Chinese stories, in order to learn Chinese. What's a graded story? It's one written with the vocab of a {X} year old. Words are often repeated, so that you can learn from the left-and-right context. I normally pay for book versions of these, so I thought, why not make one that's online and free?

Wanted to save up a few tokens when passing data to LLMs and did not like anything on the market, so I made minemizer.

Minemizer is a data formatter that produces csv-like output, but supports nested and sparse data, is human readable and super simple.

It produces even less tokens than csv for flat data, due to most tokenizers better tokenizing full words that contain a space before the word, and leads to less fragmentation.

There are many cool things I discovered while running tons of testing and benchmarking, but it's getting late here.

Code, benchmarks, tokenization examples and everything else can be found in the repo, but it is still very WIP: https://github.com/ashirviskas/minemizer

Or here: https://ashirviskas.github.io

EDIT: Ignore latency timings and token counts in "LLM Accuracy Summary" in benchmarks as different size datasets were used to generate accuacy numbers while I was running tons of experiments. For accurate compression numbers see compression benchmarks results. Or each benchmark one by one.

I will eventually fix all the benchmark numbers to be representative.

I’m building a planner that automatically plans employee shift schedules based on their availabilities and roles.

There’s many different solutions out there but I’m carving out a niche where we deal with complex shift assignment problems.

For example one of our customers has specific union rules that need to be followed when assigning work and we ensure that they are compliant.

Our backend relies on an MIP solver as well as heuristic search to refine plans.

working on bringing some basic, banal bits of infrastructure management to real-world traffic issues.

I'm literally trying to fix broken junctions around me.

It's at the same time laughably easy, and wildly complicated.

I'm calling the alternative, correct junction a 'traffic bean':

https://josh.works/traffic-bean

It's relevant to software, sorta. I've got rather a lot of GIS/mobility-related data available here. It's just a rails app that renders a bunch of my strava activity data all at once: https://josh.works/mobility-data

The fixes are entirely accomplishable with nothing more high-tech than traffic cones. They can be upgraded to more permanent and pretty physical objects, but the key bit of the traffic bean finds traffic cones fully sufficient. No half-million USD traffic signals, no red/green/yellow light cycles. continuous flow. safety. peace.

Some stuff that's obvious in some domains, like "at high-throughput times, don't allow key bits of infrastructure be completely unusable".

Bringing this to american municipalities is like trying to speak a language with someone that doesn't speak your language, but demands that you treat them as if they do.

it's been a big, long-running project. Most tradition in the USA is really a fig leaf for supremacy, and people can smell that I'm coming for their supremacy a mile away, and they immediately begin deploying emotional defenses.

Or so it seems.

I've spent the last week starting to hand port SeL4 to rust. Mostly because I want to learn how kernels & capabilities work. This seems like a fun way to get my hands dirty with operating systems without needing to invent everything from scratch.

To be clear, there's no benefit to using rust over C for SeL4. SeL4 is formally verified - which provides a level of assurance far beyond what the rust compiler can check at compile time. I'm really just doing it for fun and learning. I've been wanting to really understand sel4 for awhile, and there's something wonderful about learning it from the ground level.

So far, I've got a stub booting. The CPU successfully boots into 64 bit mode and starts running my rust code. I'm starting with x86_64 because thats whats on my desk. At the moment I'm porting the code which locates the root process via multiboot, so I can set everything up in memory correctly.

If anyone is curious, here's the repo: https://github.com/josephg/sel4-rs

Its pretty bare bones for now, but everything starts simple!

I'm working on EACL: http://github.com/theronic/eacl

EACL (Enterprise Access ControL) is a situated ReBAC authorization library based on SpiceDB, built in Clojure and backed by Datomic. EACL queries offer sub-millisecond query times and has replaced SpiceDB at work (CloudAfrica).

'Situated' here means that your permissions live _next_ to your data in Datomic, which avoids a network hop and avoids syncing to an external AuthZ system like SpiceDB, so all queries are fully consistent.

EACL is fast for typical workloads and is benchmarked against 800k permissioned entities. Once you need more scale or consistency semantics, you can sync your relationships from Datomic to SpiceDB 1-for-1 in near real-time because there is no impedance mismatch between EACL & SpiceDB.

Read the rationale for EACL here: https://eacl.dev/#why-was-eacl-built-the-problem-with-extern...

IMO, if you need fine-grained permissions, EACL is currently best-in-class for the Clojure ecosystem. EACL is especially suited to Electric Clojure applications and can be used to populate menus in real-time.

EACL would not have been possible to build solo in my spare time without modern AI models to rapidly implement specifications and test against human-written tests.

Here is a ~7-minute screen recording of EACL used from an Electric Clojure application for real-time ReBAC queries: https://x.com/PetrusTheron/status/1996344248925294773

I’m building PaperDrop it's a research workspace that turns PDFs and new arXiv papers into something you can actually work with (notes, questions, cross paper comparisons). Would love feedback from people who read a lot of papers: https://paperdrop.xyz

It's still early prototype / beta, but wanted to share it anyway!

I've spent a considerable amount of my free time over the last few years working on an open-source game engine for making Zelda-like games (link in profile). It's been around for a few decades, and I played it when I was a kid - and now I'm contributing heavily to it. To give a since of scale, there's ~1000 custom fangames made in this: so pretty niche, but if your thing is Zelda it's got some real gems.

Most of my time has been spent practically rewriting the engine from just single-screen play areas (like Zelda 1) to be free-scrolling (like Zelda 3). I've also put lots of work into supporting all platforms (was just Windows; now it's also Mac/Linux/Web). And I've delved into tons of interesting programming projects while working on this: a deterministic record + replay testing system; a garbage collector for our custom scripting language; JIT compilers for x64 + WASM; a VS Code language server; the list goes on...

Anyhow, this month I'm trying to polish it up as much as I can so we can officially release the next major version.

https://www.keepsakebox.app/

I was thinking about what to get my long-distance girlfriend for her birthday which coincidentally was also the anniversary of our first date. So I thought of building her a personal website, installable via tauri so she can view it offline whenever she wants, that has a timeline of all the things we went through: first date, events, trips, moves etc.

Now I want to polish this, make it customizable, add more features like a "Reasons I love you" jar which gives you random notes your partner wrote, and offer it to others as well.

Another thing, it should be a digital living collection of memories and notes for each other and should evolve with the relationship.

Just started with this and building with Elixir and Phoenix.

PS: I realize I might need to update the website. First I wanted it to be more generic and for multiple occasions like anniversaries, birthdays etc but slimming the target down to couples for now to not overwhelm myself. It's the first ever service I'm building.

I've been working (very slowly) on a cross-platform UI library written in C. It uses as much as it can from the OS without outright using the native widgets for everything. Rather the focus is on letting the user of the library customize the look of the controls as they see fit.

It's unfortunate but native UI (as in, using the native controls with their native look) has mostly died off in my opinion, at least for complex cross-platform applications.

You can try to do it in a cross-platform manner but it never works well. Want to implement a tab bar like VSCode's? Win32 tab bars do not support close buttons (need to be custom rendered) and Cocoa tabs it doesn't even make sense for them to have a close button. In Cocoa you're supposed to use either the windowing system to do tabs (similar to Safari tabs) or custom render everything (like iWork).

So I say screw it, make it look as you wish.

The design of the API is somewhat DOM inspired (everything is built up of divs that can be styled). It's pure retained mode for now, I still need to think how I'll make reactivity work.

On macOS it uses a custom NSView to implement "divs". Drawing is done with CoreAnimation layers. Text editing is handled by a nested a NSTextView control with a transparent background. Could also host a web view in a similar manner. Context menus are native.

On Windows it uses a custom C++ class that stores Windows.UI.Composition surfaces for drawing (could also use DirectComposition + Direct2D). Text editing is handled by a windowless RichEdit control (ITextHost/ITextServices). Context menus are native Win32.

On Linux it uses a custom QWidget with a nested QTextEdit control for text editing. I'm thinking of experimenting with Qt Quick for hardware accelerated rendering like the other two.

https://finbodhi.com — It helps you track, understand, and plan your personal finances — with a double-entry accounting. You own your financial data. It’s local-first, syncs across devices, and everything’s encrypted in transit. Supports multiple-accounts (track as a family or even as an advisor), multi-currency, a custom sheet/calculator to operate on your accounts (calculate taxes etc) and much more.

Soon, we will have benchmarking capability. You would be able to compare your networth growth with inflation, compare your investment returns with benchmark etc. We would support both nav and value based benchmark. The topic is interesting in itself, and somehow, not emphasized/available in most tools.

Asset price fetching and benchmarking works best for Indian markets. We would like to build better support for international assets and benchmarks, but haven't figured how to get the data.

NOTE: you can try demo without signup, but it doesn't work in Firefox Incognito mode.

Working on NetBox Designs: https://netboxlabs.com/blog/netbox-designs-introducing-decla...

Infrastructure architects think in terms of building blocks in "high-level designs" and those building blocks are often socialised/expressed in Visio/Spreadsheets. Thinking in building blocks is now more necessary than ever because of the sheer size of the infra being designed/deployed.

This approach is problematic after the design phase because there's a lossy translation to where the low-level design lives, often referred to as the Source of Truth, like NetBox.

NetBox Designs allows users to express composable, versioned, and templatizable building blocks that can be rendered to low level designs. No lossy translations, and you can always check in the future "does my LLD still match my HLD and if not, where?"

Been casually working on some AI projects lately. Open-sourced both: LLM Archive Downloader. Got paranoid one night about open-source models potentially disappearing (licensing changes, restrictions, who knows). So I built a script to download and archive them locally. One command, pick what you want — Llama, Mistral, DeepSeek, Whisper, the works. ~200GB total or grab the essentials (~40GB). Now they're sitting on my hard drive. Offline forever.

→ github.com/Ashwinsuriya/llm-archive-downloader

YouTube Shorts Generator Converts long YouTube videos into Shorts automatically. Whisper handles transcription, LLaVA analyzes frames to find interesting moments, Mistral picks clips and writes captions. Everything runs locally in a parallel pipeline. No APIs, no subscriptions. → https://github.com/Ashwinsuriya/yt-shorts-generator Nothing fancy.

Just scratching my own itch and sharing in case anyone finds them useful.

A bunch of little electronic pin badges that I’m using to fund bigger projects

https://hortus.dev/s/badges

Currently in the works are a digital sand timer which can be used to track pomodoros (or any sequence of time intervals), and a Jovian orrery which displays the positions of Jupiter’s moons on a strip of addressable LEDs.

https://nthesis.ai/public/hn-working-on

A tool for searching, filtering and chatting with the "What are you working on?" posts. Also has a visual map (UMAP) that clusters similar things together. Useful if you want to find specific things or better understand themes.

*Supex* - Agentic coding for SketchUp.

Working on a house renovation project in SketchUp, I wanted the same workflow I use with Claude Code: describe what I need in natural language, let AI write and execute the code, iterate quickly.

So I built a bridge. Python MCP driver talks to a Ruby extension inside SketchUp via JSON-RPC. Claude Code can now write Ruby scripts, execute them directly in SketchUp, take screenshots to verify results, and introspect the model - all without leaving the conversation.

Still very early (macOS only, requires SketchUp 2026), but it's already useful for repetitive tasks and parametric designs. "Create a spiral staircase with 15 steps at 18cm rise" is more fun than drawing it manually.

https://github.com/darwin/supex https://github.com/darwin/supex/tree/example-simple-table

Building Contextify - a MacOS application that consumes Claude Code and Codex transcripts, stores them in a local sql db.

The main window uses Apple’s local LLM to summarize your conversation in realtime, with some swoopty UI like QUEUED state on Claude Code.

I’ve just added macOS Sequoia support and a really cool CLI with Claude Code skill allowing seamless integration of information from your conversational history into aI’s responses to questions about your development history.

The CLI interface contract was designed to mutual agreement between Claude code and codex with the goal of satisfying their preferences for RAG.

This new query feature and pre-Tahoe support should be out this week, but you can download the app now on the App Store or as a DMG.

I’m very excited about this App and I would love to get any feedback from people here on HN!

https://contextify.sh

My Show HN: from this past week has a short demo video and a bit more info:

https://news.ycombinator.com/item?id=46209081

Last night I decided to take a break from the digital world and started on making a guitar. Leaning towards something in the style of Lacôte[0] but not sure, ordered a book on Vicente Arias[1] and might order a couple other plans to consider. Have a fair amount of stock prep to do before I have to commit to a design and will probably need to order a few sticks of wood as well, so probably have ~two weeks to make up my mind.

[0] https://upload.wikimedia.org/wikipedia/commons/a/a8/Guitar_M...

[1] https://issuu.com/orfeomagazine/docs/arias_livre

That last link is almost the entire book, have not looked through the digital version yet but on a quick look I think it is everything but the portfolio of his work.

I'm building an app that takes a screenshot every hour from some news websites. It's is a small python script running on my raspberry pi 5 and for now I'm saving the images there. I'm planning to build a front-end app to explorer how each website changes over the course of a day, focusing only on the top of the landing page.

Listing all the AI horror stories on https://whenaifail.com

On Thursday I learned about ulid[0] which I think really neatly solves the problem of text representation for UUID v7. However, I also like the idea of prefixed ids, although I haven't used them in anger.

Yesterday I built most of a Postgres extension, using the excellent pgrx[1] project, that build on ulid to add prefixes. With it you get something like this

    plid=# SELECT gen_plid('u');
             gen_plid
    ---------------------------
     u_06DHRQH6SJT7N2WEQK4910R
    (1 row)

I haven't pushed it to GitHub yet, but it's fairly done at this point.

0: https://github.com/ulid/spec

1: https://github.com/pgcentralfoundation/pgrx

I’ve been working on a TLS proxy/TLS terminator that can handle 3000 TLS handshakes per second (basically an stunnel replacement, but stunnel crashes at under 100 handshakes per second) as a pet project, but I’ve realized that with some polishing this can be really useful.

https://github.com/novotimo/tlsproxy

This is still in development (todo are privilege dropping, in place config reloads, log burst suppression, multiple listen sockets (which paired with the Linux kernel gives free load balancing capabilities), and detailed TLS configurability), but it already matches both nginx and HAProxy’s speed (entirely bottlenecked by OpenSSL crypto by this point) at a tiny fraction of the attack surface and memory footprint (10-15kb per worker process last time I checked).

If anyone wants to take a look, please roast my code :)

Still working on the Mint programming language (https://mint-lang.com/) with a 1.0 release in January :). I'm happy with the current feature set, so I'm just polishing and optimizing where I can and giving the documentation a throughout look.

I'm building a temperature controlled dough proofing enclosure based on ESP32, an IKEA Samla storage box and an inexpensive silicone rubber heater. It's delightfully impractical-- purely a first hardware/MCU learning project and a holiday gift for a relative who I think will appreciate it.

I'm impressed by how far I can get "vibe making". Most of my professional experience is in high-level software, but AI gets me unstuck quickly when I don't know something specific to ESP-IDF or the hardware. As of today I've got a circuit tested, firmware nearly complete, and a custom PCB en route from JLCPCB.

One limitation I’ve noticed: ChatGPT struggles with the details of part selection (e.g. choosing specific temp/humidity sensors or connectors). Adding datasheets to the context helps a lot, which makes me wonder why this isn’t something the model can do or at least ask for.

I just moved to a house with a barely finished basement. White walls, white painted floor, exposed ceiling joists and ductwork painted black. I’m experimenting with cheap projectors and lighting effects (using clamps to attach to the joists as if they were a truss) and furniture on wheels to create a configurable virtual space with full wall projections, sound, and lighting to match (but not overpower) the video. My plan is to make a camera/light platform with a cheap projector, and Raspberry Pi, and directional LED lighting so that I can coordinate all of them over the network. It’s also my office, library, game room and I have some awesome ideas on how to use the space to augment D&D games. But the white concrete floor has got to go - too bright, too cold, too hard, and too loud.

https://snowdayacademy.com

Reading practice and assessments for k-12 students, with reporting and tracking for parents, tutors, and teachers. It uses speech to text and quizzes to assess the students reading ability. It picks up skipped words, substituted words, along with metrics on speed and pauses.

I have been testing it with my 2 daughters and its finally at a spot where I don't have to drag them to test it against their will and they are showing improvement. I am working on the marketing now. I have gotten some interest from private tutors but I have a feeling it will be great for the homeschooling community.

Thanks for any feedback! Please leave first reactions as the marketing page is what I am iterating on right now. Don't hold back!

Published my first AUR package this week. It's called bleep, a simple interval timer that beeps.

The idea came from cooking bolognese. I needed something to remind me when to stir. So I wrote a small Go tool that just beeps at whatever interval(s) you set.

Then I kept adding stuff. Verbose mode with a live countdown, pause/resume with signals, and a JSON output mode that works with Waybar. That last one is actually my favorite part. I get a little timer in my status bar that changes color when it's counting, paused, or beeping. Click to pause. Works great for pomodoro or just keeping track of things while working.

I switched from Mac to Arch and wanted to try the whole AUR thing. Used GoReleaser to automate the build and publish. Took some fiddling but it works now.

https://github.com/Gioni06/bleep

AUR: yay -S bleep-bin

Building https://localhero.ai, automated on-brand i18n translations that run in your CI pipeline. Right now I'm working on better .po/gettext support, based on feedback from an early customer. With gettext you usually keeps source strings in the actual source code. So I'm building a workflow where non-technical people (PMs, designers) can edit translations in the web UI and then easily generate a PR with both code changes and translation file updates. Trying to make translations work smooth for both automated CI pipelines and PMs/designers who don't live in Git, when translations are checked into the repo. Also going through my network, talking to devs and localization folks to understand what could be improved in their orgs for translations.

I've really enjoyed writing blog posts recently. Not only is it a great way to flex your writing muscles, but writing about a topic, unsurprisingly, helps you understand that topic better too. I've had great conversations with friends about the posts I've written as well.

And sort of in that same vein, I've been developing my own static site generator that I eventually want to move my blog to. It's almost certainly going to be a worse SSG than every alternative, but it'll be mine and that's worth something in itself.

Plus it's just been fun to make! I wrote some gnarly code to generate infinitely nestable layouts that I'm kind of proud of. It's the kind of code that's really cool but you can only code on a project for yourself, because if someone else had to debug it, they might say some pretty unkind things about you.

Back in 2019 I created a Google Spreadsheet titled "family debts" that allows my family (4 siblings and my parents) to record when we owe each other money, and periodically settle up. I later learned that I recreated Splitwise, but having something like this with trusted folks has been hugely useful. We have over thousand entries, and use it constantly for splitting gifts, buying something at the store for someone, etc.

Om Friday after Thanksgiving I spent half a day building a telegram bot that accepts an address and a list of Amazon links, and in turn orders the item (at a discount since it uses my Amazon credit card), and adds it to the above "family debts" spreadsheet.

I really like the idea of programmable, trusted lending like this, and feel like it could be extended to other groups that you implicitly trust.

https://dbpro.app

We are working on DB Pro, a modern desktop data workbench for developers and data engineers.

The focus is on going beyond a query editor and building a complete environment for working with data. Visual exploration, inline editing, dashboards, and Jupyter notebook style workbooks for queries, notes, and experiments all in one place.

We launched v1 a few weeks ago and the reaction has been genuinely jaw dropping. Downloads, feedback, feature requests, and some great long form discussions around real world data workflows.

We are documenting the entire journey through a public devlog series. The latest video covers the v1 launch.

https://youtu.be/-T4GcJuV1rM

Honestly, building a desktop app is so refreshing after spending a decade or so building web apps.

Feels like I'm working on a million things (between work, side contracts, and creative explorations). Recently a friend asked whether AI is helping or hurting my workflow.

And I realized I couldn't give a concrete answer. Lots of speculation, but I realized I didn't have hardly any real data. Inspired by Adam Grant's work on "rethinking", I'm _currently_ writing a tiny CLI to run self-experiments on my own productivity, auto-checking in / observing commits/code changes.

Goal at the end is to be able to test myself across different dimensions with "no AI", "moderate AI" (e.g. searching, inline assist), and "full AI" (agents, etc). https://github.com/wellwright-labs/pulse

I just relaunched my 15 year old niche online community for fans and users of tractors:

https://www.tractorfan.us

It’s part of a broader network of niches within the agricultural, heavy equipment and transportation sectors.

It has around 10M pages and pretty decent traffic.

Added a fifth project this month. Most likely very unwise...

1. probe.bike - tell stories with your bike rides. It allows you to aggregate your cycling trip into one datapoint. Will likely break this out to skiing over the break and rebrand slightly. Adding yearly cards as we speak!

2. flopper.io - I'm seeing traffic rise and rise for this and it's been a great way to translate my every-increasing understanding of AI Infrastructure architecture to a new project. It acts as a benchmark website for GPUs and systems (e.g. Nvidia NVL72.

3. llmstxt.studio - still feel like llms.txt as an idea make sense - so hedged that and but let's see. Got my first customer this month. B2B and need more features/marketing.

4. rides.bike - the oldest - a catalogue or well researched cycling destinations and information about destinations. Will be adding more very soon!

Trying to make my Rust library `composable-indexes` more ergonomic. It is for indexing a collection on multiple dimensions in a type-safe and composable manner.

In other words, something safer & more concise than maintaining multiple HashMap's, but a lot less involved & simpler than an in-memory SQLite.

It's better explained by the example here: https://github.com/utdemir/composable-indexes/blob/3baa36762....

https://github.com/utdemir/composable-indexes

https://apps.apple.com/us/app/options-at-the-money-premiums/...

I am working on the android version of this app. It is a tiny tool for options trader to see all the premium on one screen. Here is the reddit thread where I initially launched it: https://www.reddit.com/r/Optionswheel/comments/1nlelbp/i_mad...

If you trade stock or options, would love to get your feedback! Thank you.

I’m speed-running a bunch of new hobbies to teach myself how to make a physical game (basically its a ping pong paddle that tracks how often you hit a ball — like a “keepy uppy” game with scorekeeping):

- Arduino dev and circuitry

- 3D printing

- PCB design

- Woodworking

Its all a lot of fun and IMO a lot more approachable than it has been thanks to the assist from LLMs.

Working on an MPC stack to make it easier for devs to integrate privacy into their stacks. As normal folks increasingly value the privacy of their data, developers will need to think about how they can build apps while guarding their users' data. We provide tooling for them to do this.

Still WIP but we are getting our first audit in the coming days!

Stoffel-Lang:https://github.com/Stoffel-Labs/Stoffel-Lang StoffelVM: https://github.com/Stoffel-Labs/StoffelVM MPC protocols: github.com/Stoffel-Labs/mpc-protocols Website: stoffelmpc.com

Today is the start of Langjam Gamejam, a 7-day hackathon to build a programming language and then make a game using it. I'm ideating on what I'll build.

https://news.ycombinator.com/item?id=46097671

As a means to learn about both WebAssembly and Rust, I started writing a WebAssembly binary decoder (i.e. a parser for `.wasm` files) from scratch.

Recently it hit v2.0 spec conformance. 3.0 is next on the roadmap. (I'm executing it against the upstream spec test suite.)

I don't plan to make it a highly-performant decoder for use in production environments, but rather one that can be used for educational purposes, easy to read and/or debugging issues with modules. That's why I decided not to offer a streaming API, and why I'll be focusing on things like good errors, good code docs etc.

https://github.com/agis/wadec

P.S. I'm new to the language so any feedback is more than welcome.

https://sim.mycnc.app/ A CNC simulator that runs in the browser or as a PwA. I wrote this mostly for myself to compliment a g-code sender I am also working on https://mycnc.app/ . The simulator has some basic g-code and cut verification and analysis built in with more to come.

I am learning hobby CNC having come from the 3D printer world and I found that the CNC software is considerably more complex than today's 3D printer software.

CNC seems to be the next hobbyist maker boom with the likes of Makera and Nestworks having very successful Kickstarters.

https://www.hedgy.works/

Helping friends (and friends of friends of friends of friends) find their next startup gig without the application process. Aspiring to be Wealthfront for your career… a passive optimization that pings you every now and then with an interesting interview you could take.

Thinking a lot about how to recognize great matches. I think basically everyone can be talented force multipliers in the right situation / company / mission / team. Everyone here wants to do their life’s work, but it’s hard to find it.

Tactically working to scale reliable human-in-the-loop AI recruiter agents with very few humans.

I’m building something that keeps finding gaps I didn’t realize were gaps.

It’s called Riftur, a gap analysis tool that compares two documents and highlights gaps, missing requirements, and inconsistencies. The interesting part for us has been getting the system to understand intent instead of just keywords, so it can flag partial matches and subtle gaps rather than just “present / not present.”

Still early, but it’s been useful in ways we didn’t fully expect. If anyone’s curious, you can demo it out here: https://riftur.com I'm happy to hear thoughts or learn how others handle this kind of review work.

Working on promptfoo, an open-source (MIT) CLI and framework for eval-ing and red-teaming LLM apps. Think of it like pytest but for prompts - you define test cases, run evals against any model (OpenAI, Anthropic, local models, whatever), and catch regressions before they hit prod.

Currently building out support for multi-agent evals, better tracing, voice, and static code analysis for AI security use cases. So many fun sub-problems in this space - LLM testing is deceptively hard.

If you end up checking it out and pick up an issue, I'll happily send swag. We're also hiring if you want to work on this stuff full-time.

https://github.com/promptfoo/promptfoo

I got a couple new toys for birthday/xmas: the GPD MicroPC 2 UMPC and the M5Stack Cardputer.

The MicroPC is great because it makes it super easy to code and hack on something in places where it would be too awkward or annoying to whip out my laptop, and the Cardputer is just a fun little toy because it's so open ended and hackable. I've been writing an app for Cardputer to control my thermostat remotely, and I've had a lot of fun grossly overengineering the needless amount of concurrency I have added through FreeRTOS.

Something oddly satisfying about using a micro PC to program an "even more micro" PC. What a cool time to be alive; I would have killed for this kind of stuff as a teenager!

Super specific use case, only a handful of users(mostly friends with free account). https://apps.apple.com/nl/app/multipark-amsterdam/id67469835...

Use Case: Assumption: You have access to your friends visitor parking login in Amsterdam.

You are going to a restaurant/or visiting a place near their parking zone(geo fenced polygon). You want to pinpoint a point in map and drive to that point. Being 100% sure that you can park at that point. Automatically pick a meter near there spot and park almost instantaneously. Then this app is for you :D

https://bookpace.pages.dev

It's essentially a book progress tracker. There are many apps that allow you to add the books which you are reading currently, but not at what pace. It's simple, no complicated stuff, no AI shenanigans.

Created as I was overwhelmed by the number of books I want to read and thought it would be helpful to plan ahead.

You add a book name, number of pages and how many pages you want to read in a day. It calculates and gives you the number of days and on which date you will finish. It's also flexible to increase the number of pages so that it can recalculate.

It's a PWA for now. Still working on notifications and stuff.

https://approval.vote / https://ranked.vote Both svelteJS static apps that render approval voting and ranked choice voting elections.

I got frustrated on how difficult it is to compare many elections using alternative voting methods against each other, so ended up extending a friends project, adding more results, details and statistics.

Just added datasette lite to the approval voting site. it’s pretty cool to query the SQLite db in the browser. https://approval.vote/data

Building Arivu: CLI/library that normalizes fetch/search across a bunch of sources (arXiv, PubMed, HN, GitHub, Reddit, YouTube transcripts, RSS, web pages…).

I use it as a context fetcher i.e grab an abstract/transcript/thread as clean text/JSON, pipe it into summaries or scripts.

Also runs as an MCP server (experimental), so tools like Claude Desktop or CLI assistants can call the connectors directly.

  arivu fetch hn:38500000
  arivu fetch PMID:12345678
  arivu fetch https://arxiv.org/abs/2301.07041

I just built myself a DYI TRMNL (https://taoofmac.com/space/reviews/2025/12/13/2200), decided to hack together my own server for it, and (serendipitously) got asked if it could be an official contribution: https://github.com/usetrmnl/byos_fastapi

Then I decided to hack my own ZigBee power meter (to keep track of my meter’s LED pulses) and fought with CMake for eight hours straight, because embedded.

It was a nice weekend.

AI Copilot for LibreOffice Writer: https://librethinker.com/

I have been working on a customizable AI voice dictation tool using Pipecat's framework to swap between many providers and models, including cloud or local.

Started off as an open source alternative to Wispr Flow for myself as I wanted to have more control over the formatting rules as well as model choice but after sharing with friends and presenting it at my local Claude Code meetup, I was encouraged to share it more widely.

The desktop app uses tauri so it is cross-platform compatible and I have tested it working on macOS and windows.

https://github.com/kstonekuan/tambourine-voice

Working towards a handheld computer with a physical keyboard. Lots of examples out there (Hackberry Pi, Beepy, etc) but wanted to try my hand at it.

Along the way I found most of these use salvaged BlackBerry keyboards which are only going to become harder to find, so also on a bit of a side quest to build a thumb-sized keyboard from scratch. Got me into laying out and prototyping my first PCBs and learning about how these things are made - lots of fun so far!

Something cool I learned from tearing apart a BB keyboard: the satisfying “click” is just a tiny metal dome that pops and completes the circuit when pressed. Not news to anyone familiar with electronics manufacturing, but it was a cool thing to “discover.”

I just finished https://www.lexaloffle.com/bbs/?pid=178450#p , my Signalis themed version of the Regicide card game.

It's mainly a distraction from enterprise programming, but it does have some parts that might be interesting to Lua programmers, like automated test suits, functional programming point free style and deploying to a raspberrypi via justfile.

The git README kinda doubles as a blog post: https://gitlab.com/michaelzinn/replicide

https://www.votivus.org

It's a hobby project I started putting together a couple of months back; a little spot on the internet for prayer and reflection.

https://github.com/arcuru/eidetica

Eidetica - a decentralized database built in Rust, intended for local-first apps. It's still unstable but I'm progressing relatively rapidly. In the past ~month I have:

- Flown to SF to attend a conference in this niche: https://syncconf.dev/

- Added password based, transparent, end-to-end encryption

- Improved my custom CRDTs

- Added an index to store configs and metadata

- Built support for using sqlite + postgres for Eideticas backend (not pushed yet)

Once I finish the backend work I'll hopefully take a bit of a break though. I'm supposed to be retired.

I wanted to export long chats from Microsoft Teams but turns out Microsoft Graph API or some PowerShell scripts were necessary. API access is not enabled by our IT manager by default so existing solutions dis not help. So I built (vibe-coded) a browser extension for myself, then decided to open source it. There are still some edges to smooth out but it’s going fine.

Turns out it was a common pain point. Now it has around 800 users in Chrome+Firefox. Mostly chrome.

https://github.com/gediz/teams-web-chat-exporter

I've been working on several internal tools that act like extensions for the django admin.

- https://github.com/yassi/dj-redis-panel - https://github.com/yassi/dj-cache-panel

This week I'm taking a break from my next project in this series (celery related) to try to participate in game jam related to programming language creation:

- https://itch.io/jam/langjamgamejam

I encourage others to participate I e

Working on https://canine.sh, an open source, self hosted PaaS for Kubernetes.

A big part of this was inspired by the last startup I worked at. In an effort to not deal with complexities of Kubernetes, we ended up on Heroku and was charged exorbitant amounts of money. One year spending close to 400k on Heroku alone, for what should’ve been 10-15k in cloud costs.

I think a big part of this is just making Kubernetes more friendly and easier to use for a small / midsized team of developers.

The goal is to make it easy enough for even a single developer to feel comfortable with, while also being powerful enough to be able to support a small team

I’m still working on MLSync.io, an ETL platform designed to remove the technical friction of synchronizing MLS data using RESO protocol and provide simple access to the MLS data via SQL and REST API.

And as everyone now, I'm experimenting with LLMs to bring some new AI-related features to the service.

On another project, we've now beta testing (in ordination) Asus GX10 processing power running on-device LLMs for _local_ processing of patient medical data for 'differential diagnoses, implant plans and risk profiles in real time while the patient is in still in the chair'.

[1] https://MLSync.io

https://ardent.pet/

I doubt it'll be of interest to folks here - but my Family recently (in the last couple of years) started to breed ragdoll cats in the U.K.

This has been my personal project to understand where I personally find LLMs useful as coding assistants, and where I don't. One easy to spot example is, front-end + copy. Another area I've enjoyed it is talking through how I'd design and build functionality and features ahead of time.

It's been very interesting, and is helpful to folks I care about, even if no-one else ends up using it!

Back in the day I worked (briefly) on a deep sea polymetallic nodule mining startup, and so just for fun I've been building a simulation for it. It's been done a million times before but I wanted to do it myself in project chrono using their granular terrain and old polymetallic nodule samples I have

It's in a pretty early stage of development though, I haven't added my samples yet and nothing is to scale. It does run though which is neat https://github.com/thansen0/seabed-sim-chrono

https://fooqux.com/ - an experimental article aggregator about software development. For several years now, I've had a routine of collecting articles on topics that interest me throughout the week and then reading them over the weekend. To help organize and streamline this process, I created this website. The main idea is to gather tech articles in one place and process them with a LLM — categorize them, generate summaries, and try experimental features like annotations, questions, etc. I hope this service might be useful to others as well.

Working on https://usedigest.com — a personalized daily digest.

It aggregates data from across the web into a single feed, pulling in news, weather, newsletters, social posts, Reddit, YouTube, and more.

I also finally launched my first iOS app that goes a step further. During onboarding, you set your preferences once. From there, AI automatically prepares your daily digest for you. Each morning, you get a notification when it’s ready, with everything relevant for the day ahead: meetings, weather, health data, commute insights, and the news you actually care about.

I've built this website helper to browse these "What are you working on" comments: http://waywo.eamag.me/

Updated manually so expect some delay :)

I’m working on DeepCost.ai, an AI-driven cloud cost optimization tool for AWS, GCP, and Azure.

The goal is to help small teams and fast-growing startups understand where cloud spend is leaking and automatically reduce waste (idle resources, over-provisioned workloads, inefficient Kubernetes setups, and AI API usage). Setup is lightweight, and we focus on actionable recommendations rather than massive dashboards.

We’re still early and testing with a few teams who want better cost visibility without running a full FinOps practice.

Website: https://deepcost.ai

Personal feed curation for events+more.

It feels like somewhere in the last decade we've all lost control over our email inboxes. While it would certainly be possible to filter and sort it, I've been wondering if it makes sense to just start with a system that is designed to intake a bunch of streams of information. Then it could be pointed at the raw information e.g event calendars and news-letters as well as streams like Facebook groups/Instagram where I don't want to actually go to those apps.

Speaking at a meta-level, this seems like what we should really be using LLMs for right now: use-cases where user controls what is done on their behalf.

https://www.unlistedjobs.com/

A different type of job search site that gathers job postings direct from company websites. About 1 in 4 jobs are not advertised on any sites (like LinkedIn or Indeed) but they are found going direct to company career page.

Side note: I found my last gig using this method so have now built it into a web app. It is a paid service but feel free to DM me for a free trial.

I've been working on a weightlifting logging app for the apple watch. I haven't submitted it yet since I am still beta testing, but I'm mostly feature complete.

It's intended to be anti-memetic, and anti-guilt trip. Just put it on your watch, install a program (open format) and you never need the phone itself. Your workout is a holiday from your phone.

The data can be exported if you want to use it elsewhere.

I originally made it for ROCKNIX but as there was no way to share the app I paid the Apple tax :/

https://github.com/jmahmood/RED-STAR-WEIGHTLIFTING

https://provenancevault.com/

I started this over the summer when I was moving to a new house and wanted to document the family history behind some thing I own. It's turned out to be more useful than I thought and I've expanded the features as friends found it useful. A developer friend, who I used to work with, joined me and we're both working on it now. It does have a little revenue now but we are far from quitting our day jobs.

I'd really like any feedback from the HN community!

I'm working on a meta framework for building "full-stack" libraries. I.e. libraries that bundle frontend hooks, backend routes, and a database schema into a single package.

This allows library authors to do more, like defining webhook handlers and (simple) database operations. The idea is to move complexity from the library user to the author, making (API) integrations easier.

I think libraries being able to write to your database is a pretty powerful concept, and can enable a number of interesting use cases.

https://github.com/rejot-dev/fragno

- Working on my two papers about a new unifying theory of software architecture based on the "Independent Variation Principle" (IVP) (one paper for IEEE ICSA 2026 conf, Research track - I hope it will be accepted, and a long-form paper already on Zenodo: https://doi.org/10.5281/zenodo.17677316). - Today I have started vibe-coding a frontend framework called wickeTS based on Apache Wicket's concepts, but for TypeScript. According to an analysis I made of various frontend frameworks (Java, JavaScript, dotnet, php...) using the IVP, Apache Wicket is the one that presents the highest compliance level with the IVP (the best decoupling of constructs that have different change driver assignments). I'll use it for my website (a knowledge base) about the IVP, and if it works, also for other things. I'd say that for SSR, I'm at least halfway there after half a day. For CSR, I haven't tested yet. I also plan to support Static Site Generation. And I plan to support accessibility standards. - Organizing the creation of my company to start working as a freelance software consultant (mostly for archi & dev).

An AI assistant plugin for Logseq. https://github.com/shovon/logseq-ai

It allows users to "chat" with their Logseq graph. Think of it like a "Cursor for Logseq". I hope people find it useful. I have on numerous occasion wished that I could have easily asked about a specific block on my graph, and would provide an intelligent response, also somewhat influenced by the contents of the entire graph. It's still a work in progress.

It's fully open source.

Cross-platform game framework for/in the Odin programming language. It's also the foundation for my first Steam release. The plan is to get something out on Steam, roll with the punches (bugs,) then open it up for general-use. I say "framework" instead of "engine" because the scope of the project is to make the decisions the beginners get stuck on and free them to make a game. That's a smaller goal than what you see with Unity, Godot and Unreal, but I am already at the point that I'd rather use my thing than Godot.

After reading an article about doing 10,000 pushups in a year (https://wjgilmore.com/articles/10000-pushups), I created "push10k", an iOS app to help me keep track and stay motivated. It's free (no money, no ads) in the iOS app store: https://apps.apple.com/us/app/push10k/id6754811078.

Hey all, I am a noob at building my own things. Recently, I have started building my own web app, which collects AI related news worldwide. I also cluster them to identify trends within the AI economy. This was interesting to me as I do actively invest in stocks. The website also generates a newsletter, collects details related to new corporate deals announced, etc. It is collecting everything related to AI and the economy.

Now I feel lost, I don’t know where to go from here. I don’t even know if I am doing the right thing. What do you think? Is there any guidance or roast you can give? Here is the website https://www.racetoagi.org/

Here is the trends collection https://www.racetoagi.org/trends

Here is the deals graph https://www.racetoagi.org/deals

Finally, here is the newsletter https://www.racetoagi.org/research/newsletter

One terrifying piece of news I saw today https://www.racetoagi.org/news/2025-12-15-japanese-local-med...

Swipedia – Tinder for Wikipedia rabbit holes

I built a PWA that feeds you random, high-engagement Wikipedia topics (like the Great Emu War or the Demon Core) in a swipeable deck. Swipe right to save, swipe up to read "trivia snacks" instead of the full article. The idea was to have an antidote to doom scrolling.

The project started at a "vibe-coding-hackathon" and is now starting to become my main side project.

Curious for feedback :)

https://swipedia.surge.sh/

https://ideawell.fly.dev/ - business idea generator based on the HN conversations (launched yesterday)

A side project for my side project: I built my own static site generator with React islands architecture and MDX support, using Bun. (Build your site from .mdx files, output only html+css, progressively hydrate the client with React only as needed).

I wrote about it here: https://pcmaffey.com/custom-ssg/

Forkable template: https://github.com/pcmaffey/bun-ssg

https://opaledx.com / https://github.com/rbbydotdev/opal

open source browser first server-less markdown document workspace and publisher, contending to be a free obsidian alternative

storage is done in indexeddb or it can utilize opfs to work on a local file directory

comes with git integration

can publish to aws cloudflare vercel and github pages

built with shadcn react and typescript

I'm trying to make a neural audio codec using a variety of misguided methods. One I am using ESNs wrong spreading leak rates in a logarithmic fashion acting like a digital cochlea. The other is trying to do the same with a complex mass-spring-damper system to simulate the various hairs of the cochlea as well. Both approaches make super interesting visuals and appear to cluster reasonably well, but I am still learning about RVQ and audio loss (involves GANs and spectral loss). I kinda wanna beat SNAC if I can.

Something small that has been on my mind for the past decade or so -- assistant chatbot.

Basically I long wanted to plug a chatbot into my messenger of choice with all sorts of tools for quick use, of course after the emergence of LLMs it was only a matter of time before I find time for it.

As an experiment I have decided to use Claude code + opencode to develop it, and after some trial and error I am very thoroughly impressed with the results, it grew to a nearly 10k LOC in a week and it is still very much manageable, I haven't changed a single line of code manually still.

I have developed it as a "core" that imports modules with a rigid and thoroughly documented in a spec.MD file interface, and every single bit of functionality essentially acts as a different sub-app that can consume events that trigger it and handle all of the internal logic within itself, that way everything is separated nicely and totally manageable within LLM context.

It does everything from setting up and sending reminders and todo lists, helping me track car mileage and fuel consumption, getting an overview of the day ahead(sometimes if task is important even a reminder few days prior to its date), to even opening my front gate. And all of that is exposed to 'core' chat module through tool calls, so I can request anything in plain English or voice.

Also has a web-ui where I can review tasks, reminders, settings or search past conversations.

Been using it a lot, and since I'm using groq for inference, I still haven't even needed to pay a thing, since it fits within the free limits

Building https://floxtop.com, a native Mac app that organizes your files.

It looks inside each file to see what it’s about, then moves it to the right folder for you.

Everything happens on your Mac, so nothing leaves your computer. No clouds, no servers.

It works in 50 languages (including English, German, French, Spanish, Swedish) and with images (OCR and object recognition), PDFs, Microsoft Office, ePubs, text, Markdown, and many other file types.

If you have messy folders anywhere on your Mac, Floxtop can help.

TTRPG Narrative Engine — https://test.qualy.dev

I'm building a session prep tool for tabletop RPG game masters. The idea is to make a narrative engine rather than another static wiki. Most existing tools are great for storing lore, but they don't help you run the story. I wanted something that supports the "create now, refine later" workflow — get ideas into structure fast, then refine as you play.

Core features: - interconnected world-building (NPCs, factions, locations) and story-building (situations, fronts, clocks) - Bidirectional linking — connecting a story hook to an NPC makes that hook visible from the NPC's view - Clock system with milestone consequences that can spawn or edit entities - Situations fire different consequences based on outcome (players engaged vs. ignored the hook) - Material waste detection — flags under-connected content so you know what's prepped but unused.

The main workflow is mindmap-based. Each entity gets its own context layer showing direct relationships. (Soon available in demo version) Working on next: automatic player-facing content. As players complete situations, public notes from involved entities get published — so the GM doesn't have to maintain a separate campaign log.

Stack: TypeScript, Effect-TS, SolidJS, Cytoscape (graphs), Leaflet (maps)

The hosted version is rough — I've been using it to get early feedback from GM friends. Happy to hear thoughts from anyone who preps campaigns

I am not really working on anything big right now, mostly just improving what I wrote, in particular documentation-wise.

However had, on my todo list ... a few things that are important to me are there.

One is to create some kind of pseudo-language that can model biological cells, from A to Z. I am having something similar to erlang in mind (to some extent). Now, this is nothing new - modeling is quite old, bioinformatics is old, but I have a few ideas that are somewhat novel IMO (e. g. really following erlang here, just adapted to biological systems).

Then I have a few smaller ideas. One is to finish a webframework where everything is really an object at all times. Meaning, I can work with objects when describing a webpage, from A to Z. HTML tags are objects too. I don't typically use them directly, though, but more in a meta-layout, e. g. I want to describe a webpage, but on a higher level, and also push that down into a .pdf file then seamlessly. My goal here is to be able to work with objects everywhere, not just for a single webpage but for all local and remote webpages, a bit similar to Alan Kay's old ideas.

I have a couple more ideas (one is the widgets project where I want to describe a GUI only once and then have it work in as many variants and languages as possible), but realistically I also focus on the smaller things to do as they are much easier to solve. Right now it is more important to me to finish as much as possible before the end of the year, so prioritising on smaller things makes more sense.

On and off, I am currently coding a minimal wayland compositor for linux and AMD GPU(no libdrm), in RISC-V assembly (64bits), which I run on x86_64 with a small RISC-V machine code interpreter written itself in x86_64 assembly. I do not use ELF, but a file format (excrutiatingly simple as such file format type should be on modern hardware architectures) of my own with an ELF capsule (also written in x86_64 assembly).

I start with SHM memory, will add linux dma-buf once SHM is enough up and running. Currenty monothreaded, ofc. AMD GPU code for SHM is in, now writting wayland protocol code to please the first wayland clients I would like to run (not using the C libraries provided by the wayland project, native wire format).

I want to move away from x11, and once I get something decent with this compositor, I will probably have to fork xwayland in order to make it work with this minimal compositor, that for some level of legacy compatibility (steam client/some games).

In the end, I did design some kind of methodology and coded some SDK tools in order to write a bit more comfortably RISC-V machine code programs in a very simple fire format (only core ISA, not even compressed instructions, no pseudo instructions, using only a simple C preprocessor).

Coding time does not matter on such software in the light of their life cycle once it does "happen".

All that presuming not too much IRL interference... yeah, I know this is excessive to expect that...

The super hard part is not coding, it is motivation: energy, mood, cognitive bias, etc.

Analyzing frontier LLM performance on my favorite daily puzzle game (https://www.nicksypteras.com/blog/cbs-benchmark.html) Next step is to assess how well the LLMs can create their own new, logically satisfiable puzzles in the same style. Then I'll have them battle it out, with one model creating a puzzle and the other attempting to solve it!

CtrlAssist – an open source project to bring more accessible, collaborative gaming to Linux! Inspired by PC gaming sessions with my own family, where both young and old relish exploring rich stories with immersive worlds (like Witcher 3, RDR3, Hogwarts Legacy, etc) but find coordinated combat or movement control too challenging to play solo, CtrlAssist lets you combine multiple controllers into one virtual gamepad, much like assist features on dedicated game consoles.

https://crates.io/crates/ctrlassist

Whether your helping grandparents through tough boss fights, or co-oping with nieces and nephews to level age gaps, CtrlAssist aims to make PC gaming on Linux fun and accessible for everyone. While I’m certain similar utilities exist, I also just wanted a holiday hobby project to practice Rust development while scratching a personal itch.

Please give it a try, share your feedback in the relevant discussion categories, or check out the open issues if you’d like to contribute, help is always welcome!

- Developer Feedback and Rust Community Discussion

   - https://github.com/ruffsl/CtrlAssist/discussions/14  ;

   - https://github.com/ruffsl/CtrlAssist/discussions/15

I am still working on my helpdesk. An easy to use self-hosted IT Helpdesk system for small IT teams. Vibe coding it with VSCode and CoPilot. I started this project when I needed my own helpdesk and didnt want to pay a fortune online providers. It runs on Python with Flask and Sqalchemy. It can be ran from the python files, or the executable is portable and can be ran from any windows computer. It stays in the network but I run with a ZeroTier connection so I can access it from anywhere without the risk of it being live on the internet.

Features I have implemented so far: Ticketing (duh), Email va MS Graph for MS office, Documents for info/repeat answers, Purchasing, Inventory, Projects -group of tickets)

New features I just added in the last month is Ticket Approvals if you need a managers approval for purchasing something or assigning a licenses to someone.

https://github.com/DjinnRutger/HelpDesk-Public/tree/main

https://helpfuldjinn.com/

Pagecord!

An independent blogging and personal website builder. Source available (Ruby on Rails).

It’s not a novel idea but it’s gaining decent traction because it’s simple and (I think!) makes you want to write more. Which is basically why I built it.

Blog by email, custom domains, internal private analytics, theming and more!

Free forever plan, or only $29/yr for everything. Priced as I think personal/blogging sites should be. Everything is too expensive these days.

https://pagecord.com

https://potniq.com

It's a travel tool for business travelers that figures out your suggested departure times for your entire itinerary based on predicted traffic patterns. Think Flighty but for all the non-flight parts of your trip.

You first build a travel itinerary with your legs - flights, activities, hotels (and hotel returns) and it tells you things like "leave your hotel at 7:40am" before your 8:30 meeting - in a single itinerary, no need to do the google maps acrobatics for every two items in your itinerary. While it's aimed at frequent business travellers I personally use it for all family leisure travel and daily itineraries around town as well - "do I have time for lunch at home after my son's class or should we bring packed lunch". I built it as during my time working in developer relations I traveled a lot, and always built unnecessary buffers and kept nervously glancing at my watch or phone to see if my planned time to leave still holds.

Tech-wise, currently it's Remix web app with a NodeJS/Fastify backend and Supabase for storage, and relying on google maps for route duration calculations. I want to expand it to native mobile clients in the future as well.

I am using it as playground on product thinking, ruthless prioritisation based on user benefit, figuring out unit pricing and economics, sensible architectural design, and exploring how including AI-enhanced features here and there can help make the product better, not just include them for their own sake.

Currently working on Klugli - Educational app for German primary school kids (Grades 1-4).

Parents set up accounts, kids log in with simple codes and work through curriculum-aligned Math and German exercises. Built with Elixir/Phoenix/Ash and LiveView.

The hard part isn't the tech - it's creating content that actually maps to the German school curriculum rather than generic "educational" fluff. Currently grinding through grade 2 math topics.

https://klugli.de

I'm trying to recreate https://viewsourcecode.org/snaptoken/kilo/ but in Zig, will probably have to face shit metric ton of hate after finishing it due to probably some mistakes and sharing them online in form of a guide, but I'm doing it to learn myself, hope that project will improve by people posting issues or simply forking the project when I will finish it.

I'm working on https://wireplug.org: A simple, free, and open source connectivity coordinator for WireGuard. Basically a way to keep WireGuard tunnels connected while moving between different access points. It handles (basic) NAT traversal and works with the in-kernel WireGuard driver on Linux and OpenBSD.

You can find the technical details at https://wireplug.org

This week I vibe coded an golem-forge (https://github.com/zby/golem-forge) - exploration of prompting as programming. Since then I found https://github.com/badlogic/pi-mono and https://github.com/johnlindquist/mdflow and I think I'll rather use these existing tools to explore my idea. But I think it might be still interesting project because it is entirely vibe-coded - I don't even know Typescript (I know some Javascript from before React - but none of the new stuff). I did not look into the Typescript code at all - only at what the LLM presented to me when editing it and the docs. At some point I discovered that when I tried to have a core logic and two UI packages the LLM put only types in the core package - so I had drive a hard refactoring - but it worked.

I haven't yet tried this very extensively - but another profound change in programming that this showed me is that it is now very easy to borrow parts of Open Source libraries. It used to be that you could only base your work on a library - borrowing parts of projects that were not designed to be shared (used as libraries) was prohibitive - but with llms it is entirely possible to say: "now please borrow the UI ideas from project X" and it does that. Maybe you need to add some planning.

The project is about 27kloc now.

I’m working on a modern transactional email API platform. Developers can bring their own AWS SES keys and freely use their own domains for sending emails.

I’m building it on Cloudflare Workers with advanced tracking, modern templates, and advanced webhook integration. Developers can also configure and schedule advanced workflows for their specific needs

The users can review their usage and performance using an intuitive dashboard.

Email is a crowded space and this is my first attempt at doing something indie at this scale. Wish me luck!

https://www.sixthcoast.com/

It's feed aggregator backed by a web crawler that tries to find interesting RSS feeds. Posts are sorted by inverse frequency with the hope that time between posts will serve as a good proxy for quality.

I've been having fun with it! The results are a little strange, sometimes, but I've found some interesting sites that I never would have found otherwise.

A Civil 3D plugin (Genabler) that will include all the network catalogs and collate the Civil 3D styles for civil engineers to use. There are some out-of-the-box catalogs and styles shipped with the default installation, but they are quite limited and fairly well hidden—which is not surprising, given that Civil 3D is a huge beast. As a result, they are not commonly used. When people think about Civil 3D, they often assume it requires BIM modelers (in a sense, just glorified drafters) to create all the necessary catalogs and styles, and to assist with their use.

My Civil 3D plugin will:

1. Make standard, market-compliant catalogs and polished styles available to engineers at large. Think of it as the WordPress theme provider equivalent.

2. Make the entire process easy and painless through the plugin, with prominent buttons for quick access.

If the plugin is done well, there will be less need for BIM modelers, since for a fee, engineers could simply purchase catalogs and styles that are so easy to use they require no technical training.

As a side benefit, I also get to explore how LLMs can help me write code. It has been a while since I last updated my AI usage policy [0], and I look forward to revisiting it.

[0]: https://civilwhiz.com/my-ai-usage-policy/

Hacking GTA V’s graphics pipeline to get access to the depth buffer, so I can feed it into a self-driving machine learning model. There’s already tools that do this (ReShade & other DX11 hooks) but I want to learn how to do this in general for other types of data & processes.

On a personal note, I’ve been trying to lean into my fears more. Disassembling binary was always something I knew would be helpful to know but I kind of avoided, so I think this is helps with that a little.

Working on The Password App (https://thepassword.app) - an AI-powered macOS desktop app that automatically rotates your passwords across websites.

The problem: most people have 100+ accounts with weak/reused passwords. Changing them manually is tedious, so nobody does it.

The solution: import a CSV from your existing password manager (1Password, LastPass, Bitwarden), select which accounts to update, and the app uses browser automation with Gemini 2.5 Flash to navigate to each site's password change page and update them in parallel. Exports a CSV with the new passwords to import back.

Key technical choices: - browser-use library for AI-driven browser automation (handles dynamic sites better than Selenium) - Local-only architecture: passwords never leave your machine, no cloud sync, everything stays in memory and is cleared after use - Electron + Python: React frontend with a Python agent for browser automation via stdio IPC - OpenRouter for LLM access (Gemini for navigation, Grok for validation)

Security was the most important and the hardest constraint. Passwords can't be logged, can't be sent to the LLM context, and can't persist on disk. Custom fork of browser-use to inject credentials via secure parameters invisible to the AI agent.

Currently at v0.38 with code signing and notarization for macOS. Working on improving success rates - the main challenges are 2FA requirements and anti-bot detection (Cloudflare, reCAPTCHA).

Would love feedback from anyone in the security/password management space.

Perhaps a bit off-base, but...I'm writing another novel! It's the long-awaited sequel to this (post-apocalyptic sci-fi if you're curious): https://www.amazon.com/Viscount-2213-Post-Apocalyptic-Surviv...

I've had the idea sitting in my notes for years now. It waited patiently until I could get back to it.

Plug-That-In [https://plugthat.in] (Mac App; Paid)

An annoying little laptop charging reminder utility that does the job.

---

There are times when I'm deeply immersed in focused work, a meeting, or engaging video content and end up missing the usual low-battery notifications on my MacBook.

When the laptop suddenly shuts down, it's followed by the familiar and frustrating walk to find a charger or power outlet. It can be annoying and occasionally embarrassing, especially when rejoining a session a few minutes later with, "Sorry, my battery died."

Over the past few weekends, I built Plug-That-In, an app that introduces "floating/moving notifications". These alerts follow the cursor, providing a stronger, harder-to-miss nudge regardless of what’s happening on screen.

The app also includes a few critical features:

- Reminder Mode: When the battery reaches critical levels, the app emits a configurable alert similar to a car's seatbelt warning, continuing until the battery is addressed.

- Do Not Disturb Settings: Customize alerts and sounds based on context, such as when system audio is playing, a video is active, or the camera is in use.

It grew out of a personal need, and I'm glad to see it used by over 50 people in the past month.

In my free time this year I've been working on a full stack JS framework called Torpor: https://torpor.dev (https://github.com/andrewjk/torpor)

Components are JS functions, containing UI that is (mostly) HTML, with reactivity only via proxied objects.

To test it out I built a distributed social media/microblog site called Redraft: https://redraft.social (https://github.com/andrewjk/redraft)

It's edge native (with a Cloudflare deploy button in that repo) with your posts stored in an SQLite file. You can log in to your site to post and comment on your own posts, and use a web extension to comment on posts from people you follow wherever they are on the web.

There are many bugs and missing features, the documentation is patchy, and it's probably riddled with security holes. Give it a go if you're feeling brave!

My biggest project is still Materia[0], a tool for deploying applications with Podman Quadlets. This month I presented it to the Podman User Group's community meeting, which was pretty exciting since I've never presented in a community setting like that before. Otherwise I've been trying to focus on bugfixes, minor feature additions, and working with user feedback so it's not just me fixing my own problems :) . The latter is really fun since I've already run into someone using it in a way that's very different than how I'd imagine it.

Not coding related, I've been on what I've been calling "The Grand Project" for a bit over a year now where I listen to every single album I own (around 855 albums/singles/eps/etc. As of this moment I'm at 828) at least once. It's been a real trip essentially going through my whole life musically and I'm hoping to write a blog post somewhere about it.

[0] Project site: https://primamateria.systems/ Source Code: https://github.com/stryan/materia

Hey all, I am a noob at building my own things. Recently, I have started building my own web app, which collects AI-related news worldwide. I also cluster them to identify trends within the AI economy. This was interesting to me as I do actively invest in stocks. The website also generates a newsletter, collects details related to new corporate deals announced, etc. It is collecting everything related to AI and the economy.

Now I feel lost, I don’t know where to go from here. I don’t even know if I am doing the right thing. What do you think? Is there any guidance or roast you can give? Here is the website https://www.racetoagi.org/

Here is the trends collection https://www.racetoagi.org/trends

Here is the deals graph https://www.racetoagi.org/deals

Finally, here is the newsletter https://www.racetoagi.org/research/newsletter

The stack has grown and almost shrunk again.

* The immediate-mode "every tick I ask you for a VDOM based on the user-defined state" TUI framework has all the fundamental features, I think; writing docs and expanding the library of components it ships with. https://github.com/Smaug123/WoofWare.Zoomies

* Decided I needed a nice text display widget, so got side-tracked into implementing the Knuth-Plass paragraph layout algorithm; it currently functions but is buggy. https://github.com/Smaug123/WoofWare.KnuthPlass

* Finally starting to put proper effort into the LLM integrations into my workflows, writing skills, defining the Gospel According To Me to try and poke the LLMs into the right basin - with limited success so far. https://github.com/Smaug123/gospel

No progress on the deterministic .NET runtime.

(Same comment from last month: https://news.ycombinator.com/item?id=45869787)

Building an app that scans file systems prior to being migrated into M365. Looks for common governance issues and file and folder trees that won’t play nice in SharePoint. Not a migration tool as such, just something to scratch a consultancy itch. Python and Tkinter for now until I hit something that requires more complexity. Also a command line version that I’ll use more often. This probably could have been a PowerShell script but this is more fun.

i’m working on Canva like app for automated image/pdf/video via API, also connects with n8n, zapier, make, airtable, pipedream etc.

it’s https://orshot.com

it’s being used by agencies and teams to automate pdf invoice/reports, instagram/tiktok/pinterest posts etc.

basically design a template, autofill the layers with your data from anywhere and generate visual content for marketing at scale

I’m trying to build 1 decent iOS mobile app per month.

Most recently released one was My Vocab Quest[1], a vocab mastery app with lots of word packs. It uses some gamification mechanics to make sure the user puts in the reps.

Current apps in the hopper are centered around:

(1) Recovery from cosmetic surgery. There are several balls to juggle for days, weeks, and months after a surgery. The app helps the user follow surgeon instructions, promoting physical and mental recovery, as well as medical and dietary changes. Makes use of phone features including contacts, calendar events, notifications. I’m learning to build an App Clip for it and hope to partner with some surgeons to get it promoted in their offices.

(2) Assisting older Americans to be more independent for a little longer (a parent of mine has early stage dementia). Helping the user maintain a regular schedule, take their medications on time.

(3) A dating ideas / meal ideas and agreement app. It helps increase creativity for date ideas, learns from how predictable you are, and facilitates agreement between the users.

[1] https://apps.apple.com/us/app/my-vocab-quest/id6748546703

Started working on an application to make it easy to see what parcels in NYC are upzoned with the City of Yes[1] changes that were passed last year.

I started off trying to make it a service to help people who are interested in ADU's get connected with architects/ contractors but spent a lot of time working on the interactive map to explore related ideas. The site is here buildbound.xyz and map here buildbound.xyz/map. Right now for example, it's very hard to tell if your site qualifies for the TOD upzoning portion of the City of Yes so maybe there is room to crunch those kind of numbers and provide it as a public service.

Trying to decide to keep going down the ADU route in NYC, even though the market is really early here, expand to NY State/ California where the ADU market is a bit further along or keep doubling down on making the best interactive zoning/ land use map in NYC and see if there is any product market fit to be found.

[1]https://www.nyc.gov/content/planning/pages/our-work/plans/ci...

https://chorebound.com

Working on Chorebound - an RPG-style chore/habit app. You do real-world chores, they become quests, you fight monsters, get loot drops, earn XP/gold, and level up. Can be solo or co-op with friends/family.

If you’ve used Habitica and bounced off, this is meant to be more lightweight, simplified, and focused on closer-knit co-op rather than public guilds.

Releasing in the next few weeks.

https://sleevenote.com/

I'm working on a new kind of DAP (Digital Audio Player) with the focus being on a better visual experience to go alongside the music. Post going in-depth here: https://substack.com/home/post/p-181321780

https://github.com/Mockapapella/tenex

Tenex, a TUI for managing swarms of AI agents.

I noticed that as I'm using agents more and more my PRs are getting more ambitious (read: bigger diffs), and when I was reviewing them with agents I noticed that the first review wouldn't catch anything but the second would. This decreased my confidence in their capabilities, so I decided to make a tool to let me run 10 review agents at once, then aggregate their findings into a single agent to asses and address.

I was using Codex at the time, so Tenex is kind of a play on "10 Codex agents" and the "10x engineer" meme.

I've since added a lot of features and just today got to use it for the first time in a production system. Some rough edges for sure, but as I'm using it any time anything feels "off" or unintuitive I'm taking notes to improve it.

Fun fact, on my machine, while launching 50x Claude Code instances very nearly crashes it, I was able to launch 100x Codex instances no problem. I tried 500x but I ran into rate limits before they could all spawn :(

Currently doing the finishing touches on a ww2 era surface grinder, closing out a new little design, and ramping my fitness up again. Next up is some duct work, some reverse engineering, and finishing my part of a paper.

I haven't had this much time off in over a decade and it's amazing. I've been hoping to get inspire for some outdoors or running related mechanical design/prototyping projects, but nothing yet.

Building https://programmer.network/ with a hope to eventually gather like minded nerds that value their privacy, time, and who don't want to be victims of engagement algorithms. Building it live on Twitch past couple of years, with very limited amount of time, but it's fun, engaging and still enjoyable.

I’m working on OpsOrch(https://www.opsorch.com/), an open-source orchestration layer that provides a single API across incidents, logs, metrics, tickets, messaging, and service metadata.

It sits on top of existing tools like PagerDuty, Jira, Prometheus, Elasticsearch, and Slack, and normalizes them into a shared schema. It doesn’t store operational data, it just brokers requests through pluggable adapters and returns unified structures.

The motivation came from incident response workflows that still require hopping across multiple vendor UIs and APIs with different auth models and query languages. Instead of another “single pane of glass,” this is meant to be a small, transparent glue layer.

On top of the core service, I’m also exposing everything via an MCP server so LLM agents can query incidents, metrics, and logs as typed tools without needing vendor-specific knowledge.

Currently open source, written mostly in Go and TypeScript. Still early, but usable with PagerDuty, Jira, Prometheus, Elasticsearch, Slack, and mock providers. Feedback from SREs and infra folks has been very helpful so far.

I'm working on adding features to the snakemake aws batch executor plugin. The existing plugin supports execution on AWS Batch by dynamically creating job definitions based on rule resource configuration, but was missing support for features like using different containers for different rules, consumable resources, secrets, etc. Two approaches:

1) https://github.com/radusuciu/snakemake-executor-plugin-aws-b... (my fork). Just add the features to the batch job building code 2) https://github.com/radusuciu/snakemake-executor-plugin-aws-b.... This is more experimental and not yet fully working. I wanted to try a few things. a) can we rely on existing job definitions (managed through IaC instead). b) can we implement a fire-and-forget model where the main snakemake process runs on Batch as well? c) Can we slim down the snakemake container by stripping off unnecessary features.

Outing planner. Route weather forecasting based on date/time, speed/pace, ideal conditions in Settings. As also go/no go callout windows, AI nutrition/gear list. Deterministic engine of fitness readiness, being able to see progress and fitness and overall body health. Used it for: Skiing, hiking, cycling. Any outing with a route.

Import a route from Strava, RideWithGPS, GPX/FIT, Apple fitness. Plan for weather forecasting! Fitness readiness is obtained from metrics collected from a smart watch.

I actually turned it free recently. Consumer market is hard and I'm more interested in learning about AI and a full stack side project.

https://brezza.cc/

Getting close to my last day at my current job, and I couldn't be more excited to build in public.

When I moved to Thailand last year, the language barrier hit me immediately. So I’m scratching my own itch and building https://thaicopilot.com/, It's designed to help you learn Thai in real situations. Still early, but moving fast.

Working on a little project to make Spotify recommendations better.

You get to choose the genres you're interested in, and it creates playlists from the music in your library. They get updated every day - think a better version of the Daily Mixes. You can add some advanced filters as well, if you really want to customise what music you'll get.

https://riffradar.org/

I'm trying to build a native postman alternative using Rust + Iced. I want it to use .http files as its collections and .env files as its environments. So that data is stored in plain text and easily editable by AI and usable by other apps like VSCode rest client.

https://github.com/sharno/zagel

For the last 3 years, I have been working on a web tool to help me at work: debugging ASN1-encoded data (keys, certificates, Kerberos/CredSSP/SPNEGO/etc data structures, and more) and performing various cryptographic operations. This app is available online; you can try it [0] (no sign-in/up needed).

This December, I reached a huge milestone: I implemented ASN1 tree editing [1]. Now I can edit the ASN1 tree directly in the browser (read my blog post for more details: [2]).

I'm happy that I wrote this tool. I use it often to help me debug my protocol implementations and/or debugging. I know that some of my friends use the JWT debugger and ASN1 parser from this tool. Maybe some of you will find it helpful too.

[0]: https://crypto.qkation.com/

[1]: https://news.ycombinator.com/item?id=46255464

[2]: https://tbt.qkation.com/posts/announcing-crypto-helper-0-16/

LLMatcher - blind testing arena to find which AI model actually works best for you.

You enter prompts, compare two anonymous responses, pick the better one. After voting, it reveals which models you preferred. Built it because model benchmarks don't match real-world preference, and blind pairwise comparison cuts through the hype.

http://llmatcher.com

I am working (mostly vibecoded) a Git history explorer in Go+modernc.org/Tk9.0: https://github.com/thiagokokada/gitk-go. It is heavily inspired in gitk, this is why the name and usage of Tk for the interface.

The reason for it was because after testing multiple Git history explorers, I still think nothing beats the gitk. Sublime Merge is probably the only alternative that I would seriously consider but I don't really like the UI and the fact that it is proprietary (I am not against proprietary software but I prefer an opensource solution when available). Other alternatives have some bugs or the interface few too slow. gitk itself is mostly fine, but sadly it tries to load the whole repository in memory and this is causing issues every time I try to navigate through nixpkgs (I can see the memory consumption going through the roof while the UI slow down to a crawl).

gitk-go loads a batch of commits (1000 by default) and once you get at the end of the list it loads more. I also add a few features that I miss from gitk, for example if you do any change in the repository (change branches, add files to stash, etc) it will automatically reflect in the UI.

Again, the code is mostly vibecoded since this is the first time I decided to try this from scratch. The code works well for my use cases and it is enough to replace gitk for me, but I can't guarantee there is no bugs and the amount of tests are small. But still, it was fun to see something that I wanted to create for a while (I had this idea for a long time since the issues with gitk that I was having) finally taking form. Probably the program is not useful for anyone but me, but if anything this is a feature, not a bug.

I’ve been building a crypto market visualization and simulation tool because I kept running into the same problem: TradingView is great for charts, but it’s hard to answer simple “what-if” questions like would rotating into another coin actually have helped or did trimming and buying back improve outcomes, or just feel good in hindsight. So I started building tools that simulate these scenarios directly on historical data. For example: - flipping from coin A into coin B and back again over a chosen period - selling part of a position and buying back later after a drawdown

I’m still early and adding ideas as I go, but it’s already helped me questions I had.

Examples: - Coin flip simulation: https://www.blockviz.xyz/simulation/coin-flip - Sell & buy-back simulation: https://www.blockviz.xyz/simulation/sell-buy-back

Curious if others here run into similar “this felt right, but did it actually help?” questions.

I’ve been working on a terminal-native AI coding tool called Aye Chat.

The idea is to remove the copy/paste/review loop entirely. Instead of asking an AI for code and then manually approving and applying it, the tool writes directly to files in your folder and automatically snapshots everything so you can diff or instantly undo if it gets something wrong.

It lives entirely in the terminal, so you can prompt the AI, run tests, open vim, refactor, restore changes, all in one flow. The bet is that with current models, the main bottleneck is the human, not LLM.

It’s open source and still very early, but we already have a steady cohort of users - as the flow is sticky after the "aha" moment. Repo is here if anyone’s curious, give it a star if you like the idea: https://github.com/acrotron/aye-chat

Happy to answer questions or hear skepticism :)

I'm looking to leverage the upcoming WebNN browser spec with my spreadsheet app. I think integration with vision, audio and language models opens a whole new world of possibilities as traditional spreadsheet apps lean more towards mainly numerical data.

https://harryk.dev/apps/eincalc

Working on my language learning app (Python, tkinter) "Xiaolong Dictionary"[0]

It is supposed to implement all kinds of features, that I usually miss in vocabulary learning applications, such as a very powerful search function, and the ability to add arbitrary tags, a table of words, and learning progress statistics (not yet implemented).

It has minimalistic dependencies. Currently the only non-development dependency it has is jsonschema.

I keep the configuration of the application in a JSON file. This configuration already allows to configure many things, like for example the various learn levels, and what their meaning in terms of the spaced repetition system is, which attributes of a word will be revealed in what order, when practicing, what attributes to show in the columns of the vocabulary table, and what font to use for the big character display widget (useful for languages like Chinese).

It's AGPL, so feel free to fork, but adhere to the license.

[0]: https://codeberg.org/ZelphirKaltstahl/tkapp

I'm building https://aero.zip, an E2E encrypted, resumable file transfer tool (think WeTransfer but encrypted and not P2P). I just posted it to Show HN:

https://news.ycombinator.com/item?id=46262540

A few technical details I enjoyed working on:

* Streaming ZIP: To allow downloading multiple files as a single archive without buffering, I implemented a custom streaming ZIP64 archiver. A Service Worker intercepts the request, fetches encrypted chunks, decrypts them, and constructs the ZIP stream on the fly in the browser.

* OPAQUE auth: I used the OPAQUE protocol (via serenity-kit) for the password-authenticated key exchange. It ensures the server never learns the password and protects weak passwords against offline attacks if the DB leaks.

* Passkey PRF auth: If your passkey provider supports PRF (like iCloud Keychain or Windows Hello), the app derives the data encryption key directly from the passkey, allowing a login flow that doesn't require entering a master password.

LLM-driven narrative game. Main technical issue is how go do compaction. I’ve devised a memory hierarchy that compacts the story to a constant amount of tokens per layer. Arc -> Scene -> Moment -> Line. Not sure if that’s the right dimensions to decompose into. Also tinkering how to get the right amount of “divergence” for story progression option generation. A lot of unanswered questions…

https://github.com/sangeet01/limitnumen

As aspiring young man learning ai, I have successfully solved the theoretical limitation of embedding using hashing. Now working on turning that to RAG system as have solved the retrieval and now wanna complete the system.

Cheers :)

I've been working on the same business since 2021:

https://notionbackups.com

The first business I started never gained traction, so I sold it in 2021 (which was a completely different time compared to now).

Notion had announced that they'd launch a beta version of their API, so while waiting for the early access, I built a landing page, login/signup, and all other plumbing for the web app.

It was a rather underwhelming launch (both for the API and my business), but I gained my first customer within a month.

Honestly, it's been a slog running this business (Notion's API is surprisingly hard to work with, so it seemed that I was stuck for months on end), so knowing what I know now, I'd probably have started a different business. My burnout didn't help either.

Claude has been incredibly helpful these last few months in solving esoteric undocumented edge cases that were plaguing the codebase for years.

I have a healthy MRR/growth rate right now and the biggest product in the niche, so I'm grateful for that.

https://ideavo.tripivo.co.in

I made a platform for innovators, founders, developers to validate their idea against real users (not AI).

My purpose to build this platform is two-pronged–first to solve the "Power Law", in simple terms, where platforms such as Instagram, Reddit, YouTube, TikTok, etc. only put forward the popular content (most upvoted, liked, viewed, trending, etc.) and people who are posting regularly are still left behind fighting for some interactions.

Second, to provide a platform for people, innovators such as myself, who keep asking the question "is this worth working on? worth spending time and money on". There are subreddits with hundreds of thousands of followers and Redditors and many of them are still not getting the visibility they need to start.

I remember that I had a lot of ideas throughout high school but I wasn't able to get real answers and validation from people so I dropped it. So specially for those people who need a little bit more visibility.

So trying to solve that.

I’m finishing up a language identification model that runs on cpu, 70k texts/s single thread, 13mb model artifact and 148 supported languages (though only ~100 have good accuracy).

This is a model trained as static embeddings from the gemma 3 token embeddings.

https://github.com/dleemiller/WordLlamaDetect

https://github.com/cdlewis/snowboardkids2-decomp

A matching decompilation of snowboard kids 2 for the n64. Why this game? Well it's awesome but also I wanted to work on a decomp project from scratch. I've written several blog posts about my experience for those interested. I hope to do more in the future, probably with less of an AI focus.

* Using Coding Agents to Decompile Nintendo 64 Games https://blog.chrislewis.au/using-coding-agents-to-decompile-...

* The Unexpected Effectiveness of One-Shot Decompilation with Claude https://blog.chrislewis.au/the-unexpected-effectiveness-of-o...

Yesterday I released https://npmdigest.com, a micro-SaaS to work around the frustrating experience of getting spammed by npm emails "Successfully published X" whenever I release new versions of my packages.

And I completed a pretty long technical article on my personal blog that goes pretty deep into SSE + Postgres + v8 + some linux kernel stuff: https://sam.elborai.me/articles/how-sse-actually-works-deno-...

Some other projects I'm currently motivated by

- pls, my take on what my ideal release automation tool would be (currently deno only): https://github.com/dgellow/pls

- steady, an OpenAPI spec validator and mock server: https://github.com/dgellow/steady

Working on a flight tracking tool that records the landing and takeoff actions of a local airfield to get insights in how they determine on which runway a takeoff or landing is assigned. Problem is that all the free aircraft api's don't register a landing or takeoff act and also not on which runway.

The airport in question has just one runway and is situated in a dense population area. Both sides of the runway are used (officially noted as two runways) for takeoff and landing causing noise complaints in the neighborhood. The airfield says it assigns a runway based on wind direction and speed, and when there is much traffic they relieve one of the two directions to prevent going over a threshold. My goals is to check if they follow their own rules and just to have a insight if my annoyance over why there are so many aircraft over my house and not on the other side is justified or not.

As a frontender this is quite challenging. I'm using Express with typescript to write the backend. Usually I get bored quite quickly because progress is not going fast enough, so I'm using a lot of AI to speed things up.

I'm checking for aircraft in a 5km circle every 30 seconds. If a aircraft is below and above x feet than I'm going to track it every 5 seconds. Between each entry I'm checking the coordinates and altitude to determine which runway (direction) is used and if it's taking off or landing. I'm also using another API to get weather data like wind speed and wind direction. Finally this is saved in a JSON file (for now) and loaded into the frontend to be displayed in a table.

I do have a working prototype, and removing a few bugs. At the moment it's checking the logs after a day of collecting to check for errors, fixing those errors and validating the fix the next day. When it's done I'm planning to open source it so that anyone can use it if needed.

Several years ago I wrote an internal tool named Fogbeam Universal Competitive Inteligence Tool (eg FUCIT). It was up and running and doing it's job for a while, then a lot of stuff happened and it kinda fell into disrepair. It's a Grails app and the original Grails version was something like 2.2.3 and I think it was running on Java 1.6 or something along those lines.

Anyway, for a lot of reasons that don't matter now, the time has come to rebuilt | reinvent | reinvigorate this thing. So for the last week, I've just been working on updating dependencies, fixing the resultant breakages, and also fixing miscellaneous bugs that had never been fixed (or possibly even noticed) before.

As of today I have most of the base functionality up and working again. I just got all the Quartz scheduling stuff set back up and now I'm testing the scheduled job that fetches data from RSS feeds and creates associated records based on the contents of those items.

Up next: test|fix some functionality around defining "semantic assertions" about entities in the system (using Apache Jena) and then I'll at least be back where I was.

After that, I have some UI improvements to make (the UI now is basic GSP pages with Bootstrap and jQuery), and then some GenAI integration stuff. Beyond that: who knows?

Besides that...

Ref this thread: https://news.ycombinator.com/item?id=46252283

I did pick up Volume 1 of "The Handbook of Artificial Intelligence" earlier this afternoon and read about 25 pages. I've also been working my way through "Parallel Distributed Processing - Volume 2" and "Principles of Semantic Networks" for the past few weeks, so continuing to grind on both of those as well.

I’m working on Reflect [0], it’s a privacy-focused app for self-tracking and self-discovery. You can track metrics, run self-experiments, set goals, view correlations, visualize your data, etc.

[0] https://apps.apple.com/us/app/reflect-track-anything/id64638...

I'm working on Bloomberry, an alternative to Builtwith for finding companies that use a specific tech vendor/product/technology. Unlike Builtwith, it focuses a lot more on technologies that can't be detected solely from the front-end (ie devops tools, security products, CRMs, and ERPs)

https://bloomberry.com

I've been a long time Windows user (20+ years) who heavily uses WSL 2 as my dev environment with tmux / Neovim but I'm switching to native Linux before the end of this year.

I tried once 7 years ago but ran into major audio issues that were a deal breaker but I'm hoping the Linux kernel has improved. I have the same hardware as before.

My dotfiles have been public for many years and can 1 shot a new or existing system in a few minutes with a bunch of command line tools on Debian, Ubuntu, Arch (with or without WSL 2) and macOS. It has an install script and theme switching for a long time which I've used to set up a a few systems (personal desktop, laptop and work laptop).

I've been casually tweaking a laptop running Arch with niri. I'm preparing a bunch of things in my https://github.com/nickjj/dotfiles to prepare for that push which will work on Arch Linux and be opt-in to install and configure a GUI and assorted tools.

I'm working on a no-code admin dashboard.

A small startup generally needs to explore and edit the production data. They would either build an admin dashboard, which is expensive, or use a database tool, which is bad for security. Not to mention a tool like pgadmin and dbeaver is clunky because they focus on database administration.

Backdoor is a self-hostable database querying and editing tool for teams. It reduces the need of an expensive admin dashboard. You can configure access control and validation policy for each user. The activities are tracked. It saves money and time, and it's more secure.

You can have your non-technical CEO, customer support, and sales to edit the production data in a safe and secure manner.

It currently supports Postgres and ClickHouse.

I'm looking for early users to iterate with. If this resonates with you, please reach out to me through the github repo: https://github.com/tanin47/backdoor

I'm working on finishing my JS KV compatibility library polystore [0], the goal is to make a widely compatible library to connect to many stores so that you can have a wide range of stores easily accesible.

For example, you make an API client library, now you can add polystore and accept multiple cache stores without writing all the compat layer yourself. This is a problem I've had multiple times in the past.

Or you make a project with cache, having it in files for local dev (highly debuggable) and then with Redis in prod is a simple ENV var change:

    let store;
    if (process.env.REDIS_URL) {
      store = kv(RedisClient(process.env.REDIS_URL).connect());
    } else {
      store = kv(`file://${process.cwd()}/cache/`);
    } 

[0] https://polystore.dev/

I'm working on a Log analyzer, something that doesn't choke on huge files. I ended up building something that can open a 50GB log file in 8 seconds and not eat your RAM, while maintaining 60fps when scrolling.

All this with a native C++ engine (able to run on Windows, Linux and MacOS) with a Flutter UI.

With additional features that DevOps teams and SRE can use like Live SSH tailing, JSON analysis and formatting, context aware search with regex, text, and search via JSON fields. All those things also performing incredibly fast - analysing a 5GB file for JSON logs takes about 2s on my laptop.

Still in beta currently, with about 70% of the functionality done! You can find more here https://getstrata.co.uk/ :)

I wrote a Telegram bot for video/image translation, and also Firefox/Chrome addons to help translate web content with smart content extraction and non-breaking layouts.

Check it out at: https://addons.subly.xyz & https://subly.xyz

The Firefox addon/Chrome extension is free, but you need your own OpenRouter/Gemini API key. The cost of web translation is really low, you can translate an article for ~$0.01 with really good quality. (You can try at https://addons.mozilla.org/en-US/firefox/addon/subly-xyz/)

I built it because I use Firefox the most and it seemed like no translate addon was good or simple enough. Chrome translate kinda works, but the quality is so low; it usually doesn't understand the article context.

I'm working on brand new type of collaborative whiteboard that allows anyone (or team) to drag-n-drop items from their devices onto the board.

The problem I'm solving: On a team, people and their files are scattered everywhere.

Solution: A canvas that attempts to open (and edit) as many file types as possible (images, xlsx, pdf, docx, cad). This means you can have people and files on the same page.

It's the only whiteboard that can natively render docx and pdf so far; these can also be edited directly on the board without having to use dedicated software.

It has a built-in Drive where you can store/backup files that syncs across your devices.

There's a few widgets such as Kanban, sticky notes, cards.

And of course, there's agentic LLM (Gemini 3 Pro) that can take actions such as viewing the board, reading documents on the board, and editing items on the board. For example, you can tell it to read a pdf, then write a spec sheet (in docx), or create tickets on a kanban.

I'm launching a private beta next month if anyone is interested in testing it out and giving feedback.

I've been spending weekends thinking about authorization for AI agents, specifically delegation.

The failure mode I keep hitting: once you give an agent tools, it gets ambient authority over all of them. There's no clean way to say "for this task, read-only on the reports table" or "spin up no more than 3 VMs." When the agent spawns sub-agents mid-execution, they inherit full access by default.

IAM doesn't help much. Authority stays tied to the agent's identity even as intent shifts during execution.

I'm exploring a capability-based model instead: authority is explicit, task-scoped, and attenuating. Closest to Macaroons/Biscuit, but adapted for workflows where delegation happens dynamically mid-task.

Early prototype (Rust core, Python SDK, LangChain integration), still thinking it through. Notes here: https://niyikiza.com/posts/capability-delegation/

I'm working on an experimental display server, for educational purposes and fun:

https://terminal.pink/bgce/index.html

Or https://github.com/blmayer/bgce

The idea is to have the minimum needed for a usable graphical experience. So drawing to drm buffer and handling inputs basically. It's been fun to do.

I am build a toolkit for it too:

https://terminal.pink/bgtk/index.html

Or https://github.com/blmayer/bgtk

I think it is nice that we can just write to a buffer and it appears on the screen. Very little abstraction is needed. Hope you like it.

I also made some progress on my hardware projects, but I'll keep a low profile for now.

https://securitybot.dev/

SecurityBot.dev is an all-in-one uptime, performance, security, and SEO monitoring tool. I launched it a few months ago and have been iterating on it ever since. Later this week SecurityBot.dev will log its 1 millionth uptime check which is pretty cool to see.

It includes the usual uptime monitoring service that you see everywhere else, but also features such as a PageSpeed Insights monitor (https://securitybot.dev/pagespeed-insights) and a broken link checker (https://securitybot.dev/broken-link-checker). I continue adding new monitor types as I personally need them (and also based on use feedback).

I’ve been working on offline payments.

Imagine direct p2p payments that can be performed without reception.

I got thinking about what the equivalent of digital cash would be in 2021 and have worked on it on-and-off ever since. It has an optional NFC component.

Technically what I have is good enough to ship, but I’ve been unsure of the legal footing of such a project so it’s been on ice for a while now.

Currently working on Skyscraper, which is an iOS native Bluesky client: https://testflight.apple.com/join/RRvk14ks

Primary goal with the project was to create a Bluesky client that I wanted to to use. While the standard Bluesky app is fine, I wanted something more reminiscent of Tweetie, Tweetbot, Twitteriffic, etc. Something that feels at home on the iPhone. With the transition to Liquid Glass, felt like a good time to practice and get to experience the new UI with a new project.

Still in what I call "alpha", but pretty feature rich. Support push notifications, lots of discovery/feed following features, search tools, moderation setting management, post translation, and much more.

If you use Bluesky and are an iOS user, there's still space on my TestFlight and would appreciate any feedback or comments!

https://github.com/smj-edison/zicl

Porting/reimplementing a Tcl interpreter from C to Zig, based on the design of Jimtcl. This is one of those sub-projects that started due to another project (folk.computer in this case). The biggest difference is thread-safe value sharing, and (soon to be) lexical variable capture.

But why? Right now folk.computer has about a 20% overhead of serializing and deserializing values as they get sent between threads, and it's also meant we can't sent large amounts of data around. I previously attempted to make the Jimtcl interpreter thread-safe, but it ended up being slower than the status quo. So, I started hacking on a new interpreter.

Commands evaluate, basic object operations are in place, but there's still a ton of work to do in order to implement core commands. It may even be good enough to swap in some day!

https://kastanj.ch/

A recipe app I built primarily for me and my wife, but realized along the way that others might find it useful too. Tried to make the whole cooking experience as smooth at possible. The recipes are made for the app, and the app is made for the recipes. Tight integration which enables some really cool features. Currently working on algorithmic optimization of recipes based on how fast you work and how many things you can do in parallel. User configurable. This makes it possible to either do very beginner friendly one thing at a time, or speedrun recipes and do multiple tasks at the same time for more skilled people.

First launch will be in 2026 in Swedish. Later in 2026 English launch planned, and then based on demand other languages.

At work I'm working on autonomous agents for web application testing, and in my spare time I've been taking some part-time evening courses at the local university for the first time.

Last term I did a course on nuclear weapons and disarmament (and learned to write my first ever academic report!)[0], and this term I'm just about to give a final presentation for an introductory life sciences course (actually just posted a runthrough recording [1]). Next term I'm hoping to get into a course about cosmology!

[0] https://liza.io/categories/2fk064/

[1] https://liza.io/the-body-electric-manipulating-large-scale-a...

I'm working on a tool in golang to handle requesting access to private and sensitive databases in Postgres. The goal is to help orgs reduce handing out long-lived postgres creds with broad permissions.

The flow is you declare the databases and tables you want to access and the specific permissions you want, an operator reviews it, if accepted it generates a temporary postgres user with those permissions you need. Also, all the connections to the database are proxied through the app, so the domain name and port are random and short-lived, so you don't expose internal database hosts. As an extra, all SQL statements during the user sessions are logged if you want to see that.

It's available at https://github.com/yungwarlock/pam_postgres

My primary goal of this is to drill myself as a product engineer working on a technical product.

https://faraday.email

A promptlessly intelligent, highly organised email client. Has very opinionated design with auto-organisation, beautiful sub-sections, genre-grouping, and thread resolution like never before in the history of email.

I particularly enjoyed building the last one. Emails in a thread no longer have those ugly blockquotes indented one below another, making it so much trickier to make sense of.

I started building Faraday out of my own need to fix my disorganised email. Couldn't accept email to be this outdated even after 40 years of its existence.

Have built many more intelligent, nifty conveniences that early users are thankfully noticing and appreciating.

Do check out at https://faraday.email

Petra (Obsidian CLI) and Petra-Bridge (Obsidian API for the CLI tool integration). https://github.com/H4ZM47/petra-obsidian-cli ; https://github.com/H4ZM47/petra-bridge

This was a "scratching my own itch" project that I cooked up because I was tired of Claude et al cluttering up all of my stuff with random markdown files. Just a simple Obsidian plugin to serve an API that the CLI tool can use to interact with the Obsidian vault. I use a Claude Skill to get the model to create all of those random markdown files in my Obsidian vault, and read from them when it needs context for something. It's working really well for me so far!

I keep on grinding on my Kubernetes IDE that allowed me to quit my day job over 3 years ago: https://aptakube.com/

I’ve also been playing with Bun and I have a business idea that would be a good fit, and huge potential but I just don’t have enough time to start something new anymore.

https://usecrucible.ai

We want to speed up adoption of custom AI, but most people suck at building it (no expertise, money, time, etc.).

We thought, what if you could "Vibe ML" your way to it? Allow any AI engineer or PM to build custom AI directly from their current implementation.

So we built these agents that orchestrate the entire life-cycle of custom AI. We start by hooking into how you use AI, prepare/label your data, detect the best recipes for your task, fine-tune, and deploy it for you. Really tried to simplify the entire process.

We aren't entirely sure about the UX/UI patterns. We aren't going chat first because if most people don't know where to start with ML, how in the world are they going to prompt it!?! Instead, we auto detect the AI tasks you've built and go from there.

I’m working on a small browser extension called Instant Preview.

https://chromewebstore.google.com/detail/majhgbekihmliceijip...

It lets you open links in a side panel, so you can quickly look at a page without leaving what you’re reading. I built it because I tend to open too many tabs when reading docs or search results.

It supports a few simple triggers. My favorite one is long-click: you click and hold a link, and the preview opens in the side panel.

Chrome recently added Split View that you open from the context menu. It works, but for quick checks it feels a bit heavy. You have to right-click, move the mouse, and pick an option.

With long-click there’s no menu. For me it feels faster, more intentional, and better when scanning lots of links.

Most of the work lately is about polishing these interactions and dealing with browser edge cases.

I built a universal live speech translating app.

I’ve been playing around with the Whisper models for a few years now. Last year I had an idea about how to run Whisper Large v3 in real time. That idea became ScribeAI.

Because the quality of transcripts was so high, much higher than I could get with Parakeet, I started to think about how it would serve as a good input for live translation. I played around with this and was surprised by how good the results is, I’ve used it to follow along political speech’s from foreign leaders and other content I’d have just never been able to consume before. You can translate by bringing your own LLM service API key or using the inbuilt Apple Translate models (for a completely offline experience).

https://apps.apple.com/gb/app/scribeai-transcribe-speech/id6...

Still very early stages, just put the site together a few days ago: Veform https://veform.co/

iOS/JS/Android Libraries for turning traditional inputs/forms into audio conversations.

Have everything working and am happy with how the underlying data structures came out.

It is interesting because where I ultimately landed there is just an additional "state". So there is a UI state (Browser managed DOM), your app logic state (consumers manage), and a conversation state. The library just exposes events so you can keep the conversation state in sync with your other states. I started out visualizing a direct like: <form/> as a conversation flow, but you could configure it to navigate pages, click elements, or whatever through audio conversation.

https://www.tonediff.com Building ToneDiff — a free tool for instant A/B testing of audio gear. Got fed up with 20 YouTube tabs and endless scrubbing when choosing speakers, mics, or guitar pickups — so I built this.

Two main modes: Upload your own audio files and have basic analytics (waveform, spectrum). YouTube video-based virtual tracks (no more 1 hour- timeline seek)

I'm going to add blind test, match mode, user track reorder. Very much a pet project, still rough around the edges. Feedback and feature ideas very welcome!

Trying to rebuild my website (php mvc built a decade ago) using Django. I want to be able to update any page content, upload and display images, have multiple blog instances. I do a lot of django-cms by day, but it's too much for a small personal website, so I started to create a (tiny, foss) CMS based on Django, django-prose-editor for the content, and some new apps (for now, Page & Blog).

The site isn't even online, but for now I'm starting to think about the next steps (seo-related things to implement, generalize app functions to handle not only blog but other (hypothetical) apps as well, improve code quality and repo readability, separate apps from the website so anyone can add them to their django website if they want to). It's a lot of work for something no one will ever use, but I must at least try to make it clean and discoverable :)

I'm trying to do a deep dive on RAG/LLM based apps since I didn't had the chance yet.

I'm building a chat-assistant that will be able to discuss with you and find more about what's your current work status and what you're looking for. Then it will suggest best suited roles for you from the HN Who's Hiring threads.

It's still very early, I've managed to index the latest thread and there's a CLI chat tool to discuss with the LLM.

It's been great because I learned a ton already, about LLM deployments, RAG evaluation, prompt engineering, LLM internals, etc.

https://github.com/kbariotis/hn-jobs

At least in principle, I'm still working on PAPER (https://github.com/zahlman/paper). (Or I should say "resumed"; I was having a rough time of it mentally in the summer through October or so and didn't really get any actual coding done.)

This has most recently involved a side diversion into a little tree-processing library (where file hierarchies are a special case) — Show HN within the next day or two, fingers crossed — and setting up a fork of https://github.com/pypa/packaging to support EOL Python (back to 3.6) and make some general simplifications (because even this is a fairly large wheel compared to the target project size).

Hoping I can kick myself back into the blogging habit again soon, too.

I was screwing around with gemini-cli and vibe-coded (or vibe-engineered?) a git extension to turn commit history into a pandas dataframe.

Curious if anyone would find this useful: https://github.com/rbagchi/git-dataframe-tools

Building https://lenzy.ai - helping products built around chat with AI (think Lovable or Cursor) reduce churn and prioritize product improvements by analyzing their user's chats.

I started about 2 months ago, found 2 early adopters and focusing on making them really happy.

I am working on a text-editor that allows you to discuss specified file folders with AI agents for knowledge work. It is similar to vs code with chat but for non-technical users and not for code.

I feel like I am constantly fighting LLM interfaces to make available and organized the context needed for discussion. There just seems to be way to much copy pasta into and out of the infinite scroll interface. I also find the output tough to quickly edit and discuss with the chatbot.

It is simple enough but I couldn't find anything like it and it has quickly become one of my favorite tools. I am build over buy to a a fault, so if there is something out there like this already I would not be surprised.

https://github.com/chillenberger/text-editor-dt

Still working on Librario, a simple book metadata aggregation API written in Go. It fetches information about books from multiple sources, merges everything intelligently, and then saves it all to a PostgreSQL database for future lookups.

You can think of it as a data source, or a knowledgeable companion that can provide comprehensive book information for online booksellers, libraries, book-related startups, bookworms, and more.

I got a pre-alpha build running for those that want to test it out and the code is out on SourceHut[1].

Been really tough to find time to work on it because I have a baby that only sleeps in my lap, but I’m making progress very slowly.

I recently hired someone to rewrite the entire database layer, as that was written with the help of an LLM for the prototype, which should improve things too.

Feedback is very welcome :)

[1]: https://sr.ht/~pagina394/librario/

- Working on a time tracker frontend to watson-cli that meets my specific needs

- Setting up importers in beancount for a retrospective on my last 3 years of spending and investment

- Getting ready to start a slow migration of some services from unraid to an argo/k8s cluster (starting with some services I don't use yet which are hard to keepup in clickops, immich,peertube, etc)

I'd like at some point to try to make an android app for personal use, but my strong preference for lean toolchains and non-ide-based development are hindering me there. It doesn't help that I'm using nixos, and the toolchain for developing even with gradle and kotlin is a nightmare. I'm not sure when I'll have the patience to approach that issue again

https://tryscrawl.com - minimal handwritten note-taking app for the iPad with optional, built-in AI querying (using handwritten/spoken interfaces instead of typed text).

Intention is to make a free, local, and simple notetaking app for the iPad since Notability/Goodnotes seem to have become overly bloated, and then add optional AI features that are actually useful, and which stay out of the users way unless really needed.

launched v1 on the App Store about a week or so ago, currently have about 130 downloads and 2 users paying for the AI tier

https://charityrecord.com

I'm working on a charitable donation tracker for taxpayers. My wife and I used Intuit's ItsDeductible for years until it shut down in October. With a little encouragement, I built Charity Record.

The stack is Django 5.2 (I know, I know, I'm looking at 6 now), Postgres, and HTMX + Alpine.js for interactivity. I'm using Polar for subscriptions. It's running on the $12/mo DigitalOcean droplet.

Trickiest parts so far: TXF export (we can trace TXF back to the 1990s...) and PDF generation. At one point when working on PDFs, WeasyPrint was deadlocking a single-worker setup because it fetched the logo via HTTP. (Base64-embedding the logo got me past that, ha.)

Happy to answer questions about the app or running Django lean - I've got a few longer running Django projects.

We’re working on https://www.requoted.app/ — a simple quoting app for small trade businesses, especially fabricators, contractors, etc.

We kept seeing folks doing quotes in notes, spreadsheets, or texting numbers back and forth, then rebuilding everything again when something changes. ReQuoted is meant to make that part easier: build a quote from your phone, reuse materials/labor, send something clean, track, and revise without starting from scratch.

It’s intentionally lightweight — not an ERP, not trying to run the whole business.

My co-founder and I recently quit our jobs to focus on this full-time. Still early, but we’re already working with real shops and contractors and adjusting fast based on how they actually work.

Happy to hear feedback.

A web app platform written in Rust with the primary focus on zero-dependency apps and using Pingora as a forward and reverse proxy. Targeting Hetzner for hosting and Cloudflare for DNS. I love Rust but don’t like the long compile times which led me down this rabbit hole (zero dependencies make for fast compiles).

I'm still tweaking my tool for creating accessible Tailwind-style color palettes for web/UI design that pass WCAG 2 contrast requirements:

https://www.inclusivecolors.com/

There's 100s of color palette generation tools, where most only let you customize a single color then try to autogenerate tints/shades without much thought about accessibility or tints/shades customization. The main features of this tool are:

- Emphasis on accessibility. A live UI mockup using your palette warns you if your tints/shades are lacking contrast when used in practice for headings, paragraphs, borders, and buttons, and teaches you the WCAG rules. Fixing contrast issues and exploring accessible color options is also made much easier using an HSLuv color picker, where only the lightness slider alters the contrast checks, and not the hue/saturation sliders (most tools use HSL, where hue/saturation changes counterintuitively alter contrast checks which makes accessibility really tough!).

- You can tweak the hue/saturation/lightness of every tint/shade. This is useful because autogenerated colors are never quite right, and customization is really important for branding work when you have to include specific tints/shades. The curve-based hue/saturation/lightness editing UI also makes this a really quick process.

- Instead of just a handful of colors, this tool lets you create a full palette. For example, if your primary color is blue, you always end up needing other colors like green for success, red for danger, and gray for text, then 11 tints/shades for all of these, so you want a tool that lets you tweak, check, compare and manage them all at once.

It's mostly a demo on mobile so check it on desktop. I'm still working on making it easier to use as it probably requires some design background to understand, but really open to feedback!

We’re working on an AI-first interview platform for developers: Valuate.dev The usual approach to coding tasks doesn’t work anymore - companies are looking for AI engineers, yet it’s still unclear how to assess AI proficiency.

Our goal is to design challenges that combine prompting + coding, allowing us to score both how well a candidate prompts and how good the resulting code is. The aim is to bring measurement to AI prompting skills - how well-aligned prompts are and how candidates handle LLM-generated code.

At the same time, we want to keep a strong human balance in the process: hiring is a two-way street, and screening shouldn’t be fully offloaded to AI. We’re human-first.

Several tasks are already live - you can try them here: https://valuate.dev

How can I train an AI on me doing sensitive work.

I'm building out a new concept around training AI computer use agents on real sensitive tasks without PII exposure. My first demo releasing soon is a dataset of AI agent with human assisted tasks on things like paying my personal credit card or doing bank transfers.

Main things: 1. I don't modify the website I operate on 2. I take full videos and record all AI agent logs and all human actions 3. I don't modify any of those logs and will release them to the public.

I am working towards a future where AI companies are paid to generate the data they need for AI agent operations instead of paying massive sums to generate synthetic data. Imagine a future where labeling companies are completely sidestepped by simply training on production tasks directly.

Redactsure.com

I'm building all the missing features from kubectl in different utilities; kimspect (https://github.com/koithos/kimspect) to help you inspect the images and registries used in your cluster and fakos (https://github.com/koithos/fakos) to easily fetch metadata from different resources of the cluster.

I am building a luxury villa park from scratch in Kuta Lombok Indonesia:)

I wanted to try my hand at something else than software.

https://easel.games

I'm working on a beginner-friendly online programming language for teenagers who want to learn to code. I think there is not a clear enough winner for what teenagers should do after they learn Scratch so I am trying to make it.

Connecting the dots from agents to workflow automation to infrastructure with Taskade Genesis.

LLMs made it easy to generate apps. The harder problem is running them as real businesses. Where they live, remember state, coordinate agents, trigger workflows, and keep operating day to day. We treat the workspace itself as that layer.

One prompt becomes a living system. CRM, ops hub, internal tool, business in a box. Memory, agents, and automations working together. Feels closer to early web hosting than modern SaaS. Not demos. Real systems.

Still early, but builders are shipping real internal apps and workflows, not demos. Excited for the future of AI from productivity to agents and workflows to Infra!

https://www.taskade.com

Making a phishing domain detection tool through Certificate Transparency real time scanning.

https://catchPhi.sh/

I intend to make it "too cheap to pass", because we should all be able to monitor Certificate Transparency.

Email me if you want to be a design partner!

I'm working on a collection of stackable interactive slides for teaching numerical methods and operational research.

https://okaleniuk.codeberg.page/blackboard/

The idea here is, one can pick the slides they want and arrange them into a sequence right in the URL. This way, there is no registration, no user data collection, no persistent state even. You just pick the slides, teach your material, and move on.

It's very raw, I still want to add a convenient sequence constructor, a "blank" slide so you could display your own content in it, and a similar quiz page. But I already used some of the slides for teaching, students seem to like them.

Hopefully, I'll have the rest done by the beginning of the spring semester.

A multi-purpose scrapper to turn any webpage into structured data: https://news.ycombinator.com/item?id=45870231

It uses LLMs to generate python code to scrap a webpage to fit any Pydantic model provided:

  from hikugen import HikuExtractor
  from pydantic import BaseModel
  from typing import List
  
  class Article(BaseModel):
      title: str
      author: str
      published_date: str
      content: str
  
  class ArticlePage(BaseModel):
      articles: List[Article]
  
  extractor = HikuExtractor(api_key="your-openrouter-api-key")
  
  result = extractor.extract(
      url="https://example.com/articles",
      schema=ArticlePage
  )
  
  for a in result.articles:
      print(a.title, a.author)

I’m working on Lunara AI: https://lunaraai.app

It’s a meditation app where an LLM guides you without the usual back-and-forth chat. You set your preferences up front (style, duration, focus), then it delivers a structured session end-to-end.

I have a long list of ideas and features to try, but right now I’m focused on feedback. The app is live on the App Store, and I’d love input on: • What would make you try an AI-guided meditation app (or avoid it)? • What settings matter most to you (duration, tone, technique, background audio, etc.)? • What would make the guidance feel trustworthy and not “chatty” or generic?

If you’re willing to test it, I’m especially interested in first-session impressions and what you’d change to make it something you’d actually keep using.

- Inspiree by my wife to pursue my weaponized desire to create things and organize my thoughts, I’m trying to gather my marbles to learn Swift/SwiftUI in order to try building an iOS app that which will automate directing and funneling data to where it needs to go.

- Updating my personal SSG to support Obsidian fully, which should simplify the publishing process a bit more. https://0xff.nu/hajime/

- Trying to find a new job, which is proving to be more difficult than it should be if you have certain standards about work/life balance.

- Writing an informative article about automating with/for ADHD which explains the motivation and solutions that I came up with for perhaps the weirdest, yet most annoying issues I face or forget about on a daily basis.

I attached a USB camera to a projector pointing at a table and made a tool for DMs to organize immersive Dungeons and Dragons games where players can interact with the game using gestures through a hand tracking deep learning model and the DM can generate graphics on the fly using generative models. Tried it in a session at work once and it was an instant hit. You can pick up characters and move them, inspect their stats by hovering over them, change weapons. Built-in auto-calibration of the camera by projecting points and registering them with the camera. https://github.com/Achllle/intim-dnd

Volatility Regime Prediction via Causal Discovery in Option Markets - https://github.com/philippdubach/vol-regime-prediction/blob/...

Volatility regime models (Markov-switching GARCH, regime-switching stochastic volatility) are ubiquitous in finance. However, they share a fundamental limitation: regimes are identified ex post from return dynamics, providing no predictive power for regime transitions. The standard approach fits a Hidden Markov Model to returns, labels high and low volatility states, and estimates state transition probabilities that are essentially unconditional averages. This matters because the economic value of volatility timing depends entirely on predicting regime changes before they occur. A model that identifies regimes only after observing the returns is useless for trading volatility.

Existing research documents regime-dependent behavior but does not identify causal drivers of regime transitions. The papers on volatility forecasting factors, variance risk premium dynamics, and market instability from option flows dance around this question without directly addressing it. The recent work on causal ML in finance (double machine learning, causal forests) has focused primarily on equity return prediction rather than volatility states. The connection between options market variables and subsequent volatility regime transitions has not been rigorously established through causal methods.

We develop a causal framework for volatility regime prediction using option-implied variables as potential causes of regime transitions. The key insight is that options markets are forward-looking, so information embedded in the implied volatility surface, put-call ratios, option order flow, and term structure slopes may causally influence future realized volatility regimes rather than merely correlate with them.

Currently building a robust dataset.

https://joyus.ajmoon.com

This is actually pretty much as done as it's going to be (could use some nicer UI feedback, i.e. how you actually use the app) - it is actually just a demo for an effort I undertook to mod Datastar to support nested web components. I am writing it up as we speak!

Instructions: you have to answer three questions; each one will auto-submit once your response goes over 100 characters; the answer to the third question is your "post". It's a proof of concept of a friction intervention for social media to encourage slow thinking before posting (and hopefully reframing negative experiences in the mind, it's kind of dual purpose).

I resurrected some of my old code for computing hash collisions: https://github.com/DavidBuchanan314/birthday_party (it's actually more of a rewrite)

It can collide 96-bit truncated sha256 in under 24 hours on a 6700XT.

Next steps are a) figure out something interesting/useful to do with it (beyond surprising people), and b) modify it to support accepting contributions from untrusted clients (see "Future Ideas" in README). For a sufficiently interesting answer to a) I could create a "SETI@home"-like system.

A ~102-bit collision would cost $$ worth of rented GPU capacity, and 128-bit is optimistically possible with enough crowd-sourced compute (a ~5-figure dollar cost if you were renting).

- Building a micro-learning platform that uses AI-powered role plays and conversational assessments to gauge learner understanding instead of eg. a multiple choice questionnaire.

- I’ve just started designs and initial setup for a personal productivity system heavily inspired by the Newton & HyperCard and built in Rust. Idea is to use LLMs to build GraphRAG-like connections between content & break out of the standard app+document model. My current thinking is having ‘frames’ of content (notes, sketches, events etc) that are acted on by capabilities and displayed in views (timeline, calendar, stack, knowledge graph etc).

- Also working on a static site generator and CMS webapp that creates sites that can be viewed on anything, from web browser to TUI. Like if Gemini or Gopher also rendered to html.

Working on a browser extension that let's you take notes right on youtube.

Chrome: https://chromewebstore.google.com/detail/video-notes/phgnkid...

Firefox: https://addons.mozilla.org/en-US/firefox/addon/video-notes-f...

Demo here: https://youtu.be/rOi7xQ8DLpo?si=M6pFoHqyrSGKuyIt

I'm learning Java and hoping to finish a course and a big project I've been working on for a while.

Working on AI Coaching App to Make You Anti-Fragile, at https://www.reflectra.app/

Will work on improving the coaching agent to be more empathatic and context-aware. And user accounts.

Working on an app to learn Hiragana.

A gamified approach that gradually introduces characters.

As I'm currently in Osaka I can use my own app well :) Hoping to make learning Japanese more fun.

It's here: https://app.tolearnjapanese.com

It's based on my simple web app to learn Korean vocabulary. I'm taking elements from Anki and other language learning apps, but making it focused so it works well in a broader language learning journey.

For learning Korean vocabulary: https://game.tolearnkorean.com

Have also been writing about these in my monthly mail-letter: https://bryanhogan.com/follow

I'm building an application that can communicate with my Plex server, and also communicate with APIs like MusicBrainz and Spotify. From there I want to be able to track my Plex music rating history, and export playlists on Plex to Spotify for easier sharing with others.

There don't seem to be many automated tools out there that fit my need for this, so building out my own solution I have complete control over makes sense. It's a lot of fun to build this out exactly as I want to, rather than trying to configure a bunch of tools that I'm not familiar with and that don't meet my needs exactly.

The tooling I'm building up around this should hopefully make it easier for myself to get my playlists and track ratings off of Plex if I ever decide to abandon it for music listening.

Trying to nail down version 1.0 of mooR, my defibrillation, rewrite, resurrection, and completely bike shedded rewrite of LambdaMOO.

https://timbran.org/moor.html https://codeberg.org/timbran/moor

along with the prototype brand new ultramodern MOO "core" (starter DB) "mooR cowbell"built on top of it https://codeberg.org/timbran/cowbell, with example/demo at https://moo.timbran.org/

On a dedicated language analysis model. For starters, it will detect a text language in microseconds. For comparison, a popular LLM takes 100 ms (10 tokens per second) on a full GPU to analyze one token; this new project processes a token in ~100 ns on only one CPU core!

Been working on any-llm managed platform, a service for people using multiple LLM providers who want a safer way to manage API keys and track usage.

API keys are encrypted in your browser before they’re stored, so we never see plaintext keys. Usage tracking is limited to tokens and costs, no prompts or responses.

It integrates with any-llm and any-llm-gateway, so apps can fetch provider keys securely without hardcoding credentials.

It’s in alpha and still in its early stages, but already useful if you’re juggling OpenAI, Anthropic, Google, or local models.

Feel free to take a look: https://link.mozilla.ai/any-llm-managed-platform

Feels like I’m the only one here not already a greybeard, so just gonna share in case it resonates with anyone not already building awesome things: I’m working on learning how to program with C++. New at this, loving it, hoping to make a career change into IT in the coming year.

https://www.flockwith.me

I'm building Flock, a social goal tracking and intentions app. Styled a little around Complice/Intend, but with more of a focus on working in public with your friends and colleagues - see what they're working on, track your intentions against specific goals.

Building out reviews now - so you can systematically review your progress against your goals to stay on track. Give it a try, and add me as a friend! https://www.flockwith.me/u/henryaj

I'm working on ffl (https://github.com/nuwainfo/ffl), an Actually Portable Executable (APE) that turns any file or folder into a secure P2P HTTPS link via WebRTC.

Like llamafile, it's built on Cosmopolitan Libc. Getting the full Python stack + WebRTC to run as a single APE binary was incredibly tricky to pull off, but the result is super convenient. I mainly built it to solve the pain of moving large files (logs, DB dumps) in and out of containers—now it's just one command.

The repo has a demo showing a round-trip transfer between Windows (x64) and Android (arm64) using the same binary. I hope you give it a try!

I built a website (https://hpyhn.xyz) for hacker news users for reasons: 1. hn comments are valuable, I've spent a lot of time going through hn comments. I think there are valuable comments buried in the threads with fewer points, so it's not enough to just read top3 threads.

2. Sometimes a good post is ignored due to a bad title, sometimes I still have no idea what the post's theme even after I read a few paragraphs.

3. I want to filter out some posts I'm not interested in, but I realized I need read some other posts it's not a simple yes/no problem, so I gave every post a interesting score based on my own preference

so I built this tool to save my time while not missing out too much on hn

https://www.youtube.com/@dodo-oss/videos (no homepage yet)

I've building PaaS focused on development environments. I think there are so many things to be improved all throughout the development process:

1. starting from creating new ones

2. forking existing one (like one would do with the git repo) to experiment with new ideas or debug the issue in an isolated environment

3. being config defined and reproducible

4. hybrid by default - run as much or as little one desires on their personal machine while keeping rest of the env (db, storage, ...) in the cloud

5. easy to share: expose services (HTTP/TCP/UDP) on public or private networks

6. have any number of AI agents with specific goals be part of the dev env

There are too many LLM-related projects. Setting up multiple runtimes, Python, Node, Go, Rust and then some environments, different CUDA versions, dependencies is tedious. Managing updates later is even worse.

So, I'm building a toolkit that allows to keep things simple for the end user. Run Ollama and Open WebUI configured to work together: `harbor up ollama webui`. Don't like Ollama? Then `harbor up llamacpp webui`. There are 17 backends, 14 frontends and 50+ different satellite projects, config profiles that can be imported from a URL, tunnels, and a helper desktop app.

https://github.com/av/harbor?tab=readme-ov-file#what-can-har...

I recently open-sourced my first ever tool! and I'm super excited about it guys

It's an HTTP request replay and comparison tool in Go. You can replay real traffic, compare multiple environments, detect broken endpoints, generate HTML/JSON reports, and analyze latency

It’s currently at v0.4, so I’d love any feedback, suggestions, or ideas for improvements. (Be gentle, I haven’t used Go professionally, however it’s my main language for personal projects )

https://github.com/kx0101/replayer

Here's the landing page too: https://www.replayer.online/

Codorex (https://codorex.com) - Kids describe games in plain English, AI generates playable HTML5/Canvas code in seconds.

Built it for my 10yo. Solo dev, .NET + Claude Haiku. Free to try, no signup.

It started out as a take-home assignment for a job I’m interviewing for (they asked for about 10% of what I ended up implementing but I wanted to do/show more :). It’s an aggregator for crypto exchange data.

The app reads the public data stream from exchanges, handles the nitty, gritty details of each exchange’s websocket connections, deals with its quirks, cleans up and normalizes the data into a uniform structure (currently only supporting spot trades) then exposes it downstream as an SSE stream.

Uses Go, Templ, and Mithril.js, and is open source

Link: https://metra.sh

Github: https://github.com/hadydotai/metra-sh

I created a simple app that lets your kid call Santa AI via video call. Parents can use this webpage to schedule a 5-minute or 10-minute call with Santa, who will speak to their child.

Very, very realistic and could support a dialogue, ask questions, and even tell if there is a gift for a kid.

I use the HeyGen AI avatar, and I DO NOT record any video. Would you show this to your kid? Could you give me some feedback?

https://CallSantaTonight.com

Working on https://greatreads.dev/ A place to aggregate and find articles from developers' blogs. Right now, I'm building a submission form for people to submit new sources.

There is also a way to search for articles using vectors, it's called "Semantic Search". So basically you can ask, for example, "Postgresql and how to best optimize it." and it would search for articles touching that subject, or at least related to it.

Wondering about the best way I can add a weekly newsletter built on top of the content currently being ingested, and still looking for more sources to add to the database (let me know if you have any good recommendations).

A security-focused "check engine light" for your shell prompt: https://github.com/erichs/dashlights

There's a gap in most security tooling: it's not IN the terminal with you. It doesn't have enough context: your environment, your repo state, your current directory, etc. to catch the small hygiene mistakes that accumulate over the many tiny decisions you make every day to ship code and learn new tools. Those "cut corners" add up, and can lead to costly blunders.

Dashlights attempts to bring awareness and visibility to your immediate shell context.

https://www.fastpause.app/

Offline first PWA for intermittent fasting tracking and mindful eating. No account needed, no ads, no tracking, no cookies, no AI integrations. Built it for myself out of annoyance with the bloated apps (admittedly it's still bigger bundle than ideal, since I'm using React, but I think it's something like 2mb compared to 200mb similar apps on app store).

IF and mindful eating have been massive in terms of my weight loss, but it's still very much a conscious effort, and this tool has been helpful in improving my habits.

I shared this last month, and it seemed to resonate with people, so I'll share again and maybe new eyeballs will see it this time. I'm continuing to build a body of work on my retro productivity software blog, Stone Tools.

https://stonetools.ghost.io

Previous articles which resonated with HN were on Deluxe Paint and VisiCalc. The latest post, "HyperCard on the Macintosh," seems to be making the HN rounds currently. Bret Victor himself chimed in on the HyperCard article over on Mastodon, filling in some nice historical footnotes. https://posts.dynamic.land/@bret/115716576717006637

Unlike many (most?) other retrocomputing explorations, I specifically do not look at games nor do I tie myself to any particular machine, though I'm focused on the 1977 - 1995 period. I spend a minimum of two weeks with each productivity title, trying to learn it, building things with it, and generally trying to understand its approach to solving problems. I'd characterize my writing tone as casual, conversational, and decidedly light-hearted.

Each piece of software (so far, knock on wood) gets me thinking about some other aspect of related computing history, so I explore that as a tangent. With the Superbase article, I talked about "the paperless office." With the VisiCalc article I considered its impact on less obvious industries, notably hog farming.

I hope the passion and effort I put into the articles comes through. If you're interested in computing history beyond just the games I think you'll find something of interest on my blog. "This Week in Retro" did a segment about me and my various projects as well, if you're curious to get an overview of what I'm all about (link is queued up at the start of the segment) https://youtu.be/UHYscl1Ayqg?si=7JM1sZagjoqvPjk2&t=2137

An Obsidian plugin that makes life tracking easier: https://www.dsebastien.net/announcing-life-tracker-a-new-obs...

https://joinpromptify.com/

A prompt engineering tool that takes vague prompts and transforms them into context-rich JSON/XML structured prompts. Fully customizable and tracks prompting history safely in tab session, automatically injecting context and learns style.

Makes outputs of any AI so much better due to restructuring and breaking down requests into instructions AI can easily execute upon and mitigating risk of hallucinations. Perfect for complex tasks like coding and content creation.

Exists as a free chrome extension right now. Would love if you tried it and have any feedback!

Email me at krishnamalhotra150@gmail.com

Fringe physics: Trying to understand WTF the A field is in electrodynamics, and how I can measure it for a price I can afford. Specifically, I want to communicate through a wall of rock or sea water at VHF frequencies, with high bandwidth. I just upgraded my subscription with ChatGPT to try to grok all of the physics involved. It decided that since this could be used to covertly exfiltrate data, it wasn't something that could be discussed. ;(

Recently a friend acquired a Collins KW-1 transmitter, serial number 1. I helped him get it working again after a long period of disuse by it's previous owner. You wouldn't believe how often it turns out that wires and bolts don't actually conduct electricity.

I am working on Correctify's Design Studio, a feature that turns plain restaurant menu text into menu designs based on your choosen size, style and branding.

What makes it different from alternatives is that it’s content-first. Instead of dragging boxes around or fighting templates that don’t fit your menu, Design Studio designs around your text. For restaurant owners, that means significantly lower waiting times and costs.

Design Studio is still in private beta, but excited about where it’s going

https://correctify.com.cy/blog/posts/meet-design-studio-the-...

I'm again toying around with the idea of building an ActivityPub Server built around the principles of RDF, JSON-LD and the Linked Data Platform. [0]

It can work already as a "Generic" ActivityPub server and it can be made to work with Client-to-Server API, but given that there are not mature clients for that, I am now in the middle of an exercise where I am taking the existing server and implementing Lemmy's and Mastodon's APIs based on top of it. Once I can get any Lemmy and a Mastodon client working, I will then start changing their own SDKs, and then I can replace calls from their application-specific APIs with direct calls to Linked Data server.

  [0] https://activitypub.mushroomlabs.com

Mostly been working on tier6 [0], which is "like" zerotier but over the sanctum protocol and fully open source (ISC licensed).

Getting ready to release a 1.0.0 of sanctum [1], after almost a year of internal testing, dogfooding and talking about it at security conferences.

We've also setup conclave [2] as an official release site for the projects tied to sanctum such as tier6, or the library implementation of the protocol etc.

[0] https://github.com/jorisvink/tier6

[1] https://sanctorum.se

[2] https://conclave.se

I'm making a web app that let's you create a QR code that you print and stick on your shop door or car windshield. When a stranger scans it, you'd get a notification on your telegram account or email without exposing your details. Kinda like a pager.

I’ve been knocking around and getting various false starts on three ideas for a while…

- a videogame. I've got a pretty killer idea in an open niche, but the indie market is so massively oversaturated that it feels impossible to get eyeballs.

- a next-generation post-RSS newsreader. But news is so depressing these days. I think most of the world wants to ostrich and I don't blame them.

- a reboot of Svpply, my own shuttered startup. I'd love to just make (another) thing that's about excellent clothes and shoes and artisanal pocketknives, but the way the economy is going, this feels grotesque. I was lucky to make it the first time when luxury goods were attainable _and_ normal people could pay for necessities; that window has closed.

I'm looking at how to introduce unique, borrowed and GC'd reference types into the IR for my VM/runtime.

I'm inspired by the language Lobster's compiler that specialises functions to arguments of either reference type as a way of doing something analogous to using "escape analysis" to allow objects to be owned by the stack. I think that perhaps specialised functions could be re-merged, with compile-time checks replaced with very cheap runtime checks taking advantage of "upper byte ignore" bits in pointers.

The VM will also need to support not just managed source languages, but also languages where unique and borrowed references are statically checked and possibly stored in objects.

I'm polishing up the second edition of "Hidden Markov Models and Dynamical Systems." The book explains several state space models and connects them to ideas about chaos. Here's a link to a pdf draft: https://www.fraserphysics.com/book.pdf and here's a link to source for the book: https://gitlab.com/fraserphysics/hmmds Once you install the source software, you can build a pdf for the book by typing "make book". I think that makes it reproducible research.

Working on claude-issue-solver - a CLI that automates solving GitHub issues with Claude Code.

You run claude-issue, pick an issue from a list, and it spins up a git worktree, opens Claude in a new terminal, and auto-creates a PR when Claude commits.

I built it because I was tired of the manual workflow: read issue → create branch → copy issue text → paste into Claude → create PR. Now it's just one command.

https://github.com/MikeOuroumis/claude-issue-solver

Been using it on my own projects for a week. Happy to answer any questions!

I am working for a while on a command line game about spacepirates playing basketball across the galaxy. The game is a basketball managerial game with some pirate-y stuff. It's a P2P game with no central server, built on top of libp2p.

It runs as a terminal application, meaning that you just need to run it from your terminal, but you can try the game over ssh without installing: `ssh frittura.org -p 3788`

downloads: https://rebels.frittura.org/ repo: https://github.com/ricott1/rebels-in-the-sky

I’m working on Paperboy (https://www.paper-boy.app/) a self-hostable service that generates a personalized daily research digest from recent arXiv papers (and optionally a few other sources).

It fetches new papers, scores them against a “research profile,” then produces concise summaries plus a short “why this matters” style rationale, and outputs an email/newsletter-like HTML digest. There’s also a small API for generating a digest, checking status, and previewing the render.

I built it because keyword alerts and generic newsletters were either too noisy or missed the stuff that was actually relevant to what I’m working on right now.

Deciduous.

It's a way of working/tools for working with an LLM that allow you to track decision tree graphs, have the robot make more informed decisions and build its own logical chain for history keeping, and modeling all the work as a DAG of events, goals, outcomes, decisions, and observations that network together to allow you to work better/smarter/faster, giving it a living and recorded memory and ways to explore all this.

It's easiest to check out the short demo on the site.

It also links to the live graph of how the tool has built itself.

http://notactuallytreyanastasio.github.io/deciduous/

https://mealsyoulove.com

Basically personalized meal planning and grocery integration. Since the Show HN I posted a couple months back I've been incorporating user feedback to add things like meal prepping, better ingredient reuse across meals, and cooking style preferences.

One of the biggest points of feedback has been adding more grocery stores but I'm really limited by who has APIs to actually integrate with, which is basically just Kroger and Instacart. Walmart has an API but ignored my API access request. Would love to hear if anyone has ideas on how to approach this.

Creating an we autobattler game https://lfarroco.itch.io/mana-battle It is being a good experience to learn how to work with shaders, and how well Electron apps run

A tool to build labeled object detection training datasets from large-scale satellite/aerial imagery collections: https://github.com/noahgolmant/label-tiles

Web maps usually join together lots of small images called tiles (this is why you see square patches as google earth/map loads). They do this by querying a "tile server" API. It turns out this standard can also be leveraged to label and fine-tune models on map imagery. In my day job we built infra to efficiently serve imagery through tile servers for map visualization. So I wanted to test out ML applications of that infra.

Web: The Good Parts, as seen by someone into dataviz

- scenes composed of SVG shapes, text, etc.

- web-worker rendering everything on the offscreen canvas;

- elements positioned via yoga-layout;

- optional JSX layer to define layouts, no support for React components inside the layout (yet);

- using Skia now, maybe Rive Renderer / Vello later? — I'd love to migrate to WebGPU eventually,

- first-class view transitions: no white screen, no jumps after the initial load, no things appearing/disappearing without a proper transition);

- fontkit to calculate everything re fonts and shape text — no more DOM-provided measurements;

- integration with Remotion to render videos.

Short-term goal is to reach MVP for slides/dataviz tool, and I'm getting close.

Trying to stay at maximum FPS while sacrificing loading time and, sometimes, the battery life.

I'm working on https://www.numeromoney.com/pricing I don't even have the home page put together yet so marketing is still on the starting blocks! It's web app for helping to understand how you spend your money. I'm keeping it as simple as possible while trying to surface clear information about a persons spending. It came out of personal need (young families are expensive, it turns out!), and the existing products out there - YNAB etc were just too focused on budgeting. I just wanted to know where my money goes so I can focus on where I'm not spending it well.

A service that allows you to post generic agent/task workload and execute and observe it in the background. Sort of for long timelines. I just want to have background agents to monitor various aspects of my digital life and keep those healthy, eg check if I’m using all of the tax credits and leverage them to get the most after tax cash, or constantly monitor my network and alert me when something is off, or scan and evaluate my public contributions and remind to post something new once in a while. Just a tool to make sure I am on top of everything.

Using Go on the back, React for ui, sqlite, containers for async work, openai. Trying to keep it simple.

As we pile more and more abstractions on top with AI, I have been on a really fulfilling quest fueled by curiosity to go more low level.

I've been doing a lot of assembly, C, WASM and plan to top it off with a look at GPU instructions and PTX. I haven't learned as much as in the last two months in years, it's been great. And surprisingly everything has turned out to be much simpler and easier to implement than expected once demystified.

Now to be fair, AI has sometimes given me pointers when I didn't fully understand something. Using Gemini 3 for free has been nice in that regard. However I consciously try to only implement code myself and to actually make sure I learned something that sticks.

A platform that takes your podcast footage and produces the podcast(with trailer), mid form clips and reels by analyzing what your audience responds to posts it on various social media[0].

A fiat to crypto payment gateway for businesses and freelancers without a strict KYC. Users can pay using card and merchants can claim instant crypto settlement[1].

WIP: a casino algorithm that outperforms most casino algorithms in terms of user retention over a long period of time with the objective function of maximizing long term profit.

[0]: https://xclip.in [1]: https://obliqpay.com

Building the most effective typing application

https://typequicker.com

This is something that started as a passion project - I wanted to see just how effective of a typing application I could make to help people improve typing speed quickly.

It’s very data driven and personalized. We analyze a lot of key weak points about a user’s typing and generate natural text (using LLMs) that target multiple key weak points at once.

Additionally we have a lot of typing modes.

- Code typing practice; we support 20+ programming languages - daily typing test - target practice; click on on any stat in the results and we generate natural text that uses a lot of that (bigrams, trigrams, words, fingers, etc).

http://github.com/samdc73/talimio

I’m still exploring new forms of AI-powered learning tools.

The latest thing I’ve been working on is an adaptive mode inspired by the LECTOR paper [1]. Where each lesson is a single learning concept with a mastery score tight to it based on your understanding of the said concept, so in principle the system can reintroduce concepts you didn’t fully grasp later on, ideally making separate flashcards unnecessary.

It can be self-hosted if any one want's to give it a try!

[1] https://arxiv.org/abs/2508.03275

https://paydai.in We are building agentic solution to fine tune your resume that fit the job requirements. Fine tuning helps to full the gaps you have and helps to standout

Have been working on three micro-saas, all built in Elixir/Phoenix:

https://feedbun.com - a browser extension that decodes food labels and recipes on any website for healthy eating, with science-backed research summaries and recommendations.

https://rizz.farm - a lead gen tool for Reddit that focuses on helping instead of selling, to build long-lasting organic traffic.

https://persumi.com - a blogging platform that turns articles into audio, and to showcase your different interests or "personas".

As a medical student, I'm making a site of free tools for medical trainees, the biggest being a rank list tool to balance logical factors and gut ranking as well as pairwise comparisons/maps/etc. https://medcompass.tools/rankcompass. Might adapt to other avenues to help people pick housing and other things that require ordered lists and decision tools!

I also make interactive tools for artists at https://artres.xyz.

I've been super inspired by all the amazing things I've seen on Hacker News.

Some recent tools, finished/improved this year:

- db2qthelp — a DocBook book to QtHelp project converter (https://github.com/dkrajzew/db2qthelp)

- grebakker: a private backup tool (https://github.com/dkrajzew/grebakker)

- gresiblos: a tiny static site builder (https://github.com/dkrajzew/gresiblos)

Currently, I work on a Desktop GLSL shader editor. Looks fine so far...

https://terminalwire.com

It’s “Hotwire for command-line apps”, meaning you can ship a CLI in a Rails app without building an API. The dream is to make it work for all major web frameworks.

Terminalwire streams stdio, browser launch commands, and a few more things needs to ship a CLI for a SaaS quickly.

The best part is when you want to ship a feature for the CLI, you don’t have to worry about pushing out updates to clients and making sure it’s compatible with your API.

A more interesting development are companies that are using it as a replacement for MCP in AI stacks. They’re reporting less token usage and better overall results.

Hosted dashboard for your personal weather station.

https://weatherstage.com/

I had some custom build scripts and sites for my dad and myself and was thinking I could make a simple SaaS out of it. Super early and didn’t advertise anywhere yet since the actual dashboard is very simple right now but it works and I keep adding the features I want to use myself.

Example dashboard: https://warnitz.weatherstage.com/

If you want to try it out, I suggest you write me at hello at domain and I will get you going. Let me know the type of weather station you have!

I'm completely rebuilding my storm chasing game "Tornado: Research and Rescue"

https://youtu.be/P_weRNiCpmQ?si=EajGMlN3Qrej7OCr

https://docs.gatana.ai/

Enterprise/Organization focused MCP gateway with support for sophisticated credentials management, integrates with OIDC/SAML, team and profiles support, external secret stores (AWS/GCP/Azure/Hashicrop Vault), using envelope encryption, and in-band-MCP authorization trigger for e.g. trying to use a tool which Gatana not yet has credentials for.

Ideal for Agent-2-Agent/dev teams/Github Copilot Agent (the one you assign issues)

Stack is k8s, NodeJS, React, Google KMS, hosted on GKE, with GKE Sandbox for local server isolation.

https://mergemonkey.dev/

I’ve been working on a small GitHub app called MergeMonkey.

It’s an AI PR reviewer, but intentionally quiet. It runs on new commits, gives a short structured summary (and diagrams for complex changes), and only goes deeper when explicitly triggered via PR comments.

The main idea is to avoid noisy reviews and black-box behavior. You bring your own model via OpenRouter, so you can choose the trade-offs yourself.

It’s still an MVP and I’m mostly looking for feedback from people who review PRs regularly.

I'm working on something called Kopi: a CLI tool that replaces the slow process of restoring massive production database backups on a dev machine with a "surgical slicing" approach, spinning up lightweight, referentially intact Docker containers in seconds: It spins up the exact schema of your source db and generates safe, synthetic datasets in seconds. It can, if you want, also replicate the actual data in the source DB but with automatically anonymized PII data.

It can replicate a DB in as little as 9 seconds.

It's Open Core: Community Edition and Pro/Enterprise editions.

Still a WiP --> https://kopidev.com

Working on Tenderlane: https://tenderlane.app/

Freight forwarders spend days or sometimes even weeks understanding and answering tenders without even knowing if they'll win the bid!

With Tenderlane, they can now upload the entire tender spec and get an overview of what the customer wants in minutes instead.

One key learning for this project is that I'm using Excel as the "frontend" as this is what our users are most familiar with, so lots of processes involved filling, uploading and downloading an Excel file.

Building this with Elixir/Phoenix LiveView.

Building an AI Hacker - https://aisafe.io

After years of manually reviewing thousands of lines of code, I realized the demand for security expertise is vastly outpacing the supply, and AI-generated code is only accelerating this gap.

I don't believe "generate secure code by default" is a problem we'll solve anytime soon, if ever. So I'm building an autonomous solution to help restore the balance.

Planning to launch very soon - keep an eye :)

Working on FileMinutes - a file search app for macOS. There are tons of apps in this space, it focuses on practical use-cases and simplicity.

https://www.fileminutes.com

I’m working on Gluze (https://gluze.com) as a choose your own adventure story builder app. Trying to build stories where the reader gets to navigated and guide the journey.

Working on turning individual disparate services into a unified zero-trust overlay network (what we're calling a Synthetic Environment™) where mocks and real services can be integrated or work seamlessly together, accessible through traditional networking or exposed public tunnels.

This is a developers tool, that can be used during development to seamlessly integrate mocks and changes into existing systems. Or easily expose internal work through a public tunnel. Or if been in an position where its hard to push to staging, pre-prod or other environments because of many competing constraints, then this product may help.

I'm making a cat themed puzzle game for my wife using NiceGUI, MindAR and some cat shaped sticky notes. Each note has a name and a secret code. I've hidden 20 of these around the house. I set up a single page app in NiceGUI to display a grid of the lost cats. When you click one it'll display their name, a clue to its hiding spot and an optional hint. 5 of the puzzles use MindAR that will display AR image cards over different art pieces and book covers in our house. I have the NiceGUI page and MindAR set up on one of my Proxmox LXCs that I use for various Flask servers.

I’ve made AI browser that others do but having full control.

https://www.gnunae.com (그네)

It was my weekend 1-day hackathon yesterday building Electron-based web browser connected with PlayWright MCP and local Codex as LLM backend.

Yes, you need to be ChatGPT Pro+ to use, because Codex has no usage fee unlike API Key.

GPT-5.1-Codex-Max can handle really complex web task without templating DOM. Codex-Mini is fast so you can pick models. It does my job applying task to any of recruiting sites with no interactions. (with persistent data store, which is currently disabled on published version)

I’m working on a deterministic execution layer for AI systems.

The idea is to treat LLMs as constrained components inside explicitly defined workflows: strict input/output schemas, validated DAGs, clear failure modes, and replayable execution. Most “AI unreliability” I’ve seen isn’t model-related — it comes from ambiguous structure and hidden assumptions around the model.

We’re exploring this through a project called FACET, focused on making AI behavior testable, debuggable, and reproducible in the same way we expect from other parts of a system.

Still early, but the goal is simple: less magic, more contracts.

I’m working on 2zuz, a product search engine that optimizes for the users rather than the advertizers.

The goal is simple: if you search for something specific, you shouldn’t have to scroll through ads, “inspired by your search”, or completely-irrelevant junk. You should just only see products that actually match exactly what you’re looking for.

Right now it searches across a few large stores and I’m iterating on the ranking and filtering. If you buy a lot of stuff online, I’d love feedback on where the results feel clearly better, and where they still fail compared to Amazon/etc.

Link: https://2zuz.com

Working on https://ottex.ai/ - BYOK alternative to Wispr Flow and Raycast AI shortcuts.

I love global voice-to-text transcription (especially when working with Claude Code or Cursor) and simple AI shortcuts like "Fix Grammar" and "Translate to {Language}".

I realized I was spending around €35/mo (€420 a year) on two apps for AI features that cost just pennies to run.

So I built Ottex - a native macOS app with a tiny footprint. Add your OpenRouter API key and get solid voice-to-text using Gemini 2.5 Flash, plus any OpenRouter model for AI shortcuts.

Nonoverse: an iOS logic puzzle game (nonograms!), I’m working on adding a new batch of levels. I’m considering a garden theme for extra cosy vibes, but I’m still in the planning stage and drawing assets right now (in inkscape, no AI).

https://lab174.com/nonoverse

Also PolyGen, an app for “low poly” wallpapers - I’ve sent an update with bug fixes for latest devices and iOS versions; it’s currently being reviewed, when you read this it might be live.

https://lab174.com/polygen

https://www.airposture.pro

an iOS app that unlocks the hidden sensors in your AirPods, turning them into a real-time AI posture coach for work and workouts on iOS.

https://github.com/continusec/htvend/

htvend is a tool to help you capture any internet dependencies needed in order to perform a task.

It builds a manifest of internet assets needed, which you can check-in with your project.

The idea being that this serves as an upstream package lock file for any asset type, and that you can re-use this to rebuild your application if the upstream assets are removed, or if you are without internet connectivity.

Has an experimental GitHub action to integrate within your GitHub build, archiving assets to S3.

Buckaroo - the data table viewer for jupyter.

I recently integrated Lazy Polars and running analytics in background processes so I can reliably provide a fast table viewing experience on dataframes that would normally exhaust memory of the jupyter kernel. Analytics are run column by column and results are written to cache, if a column fits into memory individually, summary stats for the entire dataframe can be computed.

Here's a demo video of scrolling through 19M rows, and running background summary stats.

https://www.youtube.com/shorts/x1UnW4Y_tOk

The fastest knowledge base for software teams, Outcrop.

A lot of teams enjoy using Linear for product management but still have to use Notion and Confluence for knowledge management. I’ve built Outcrop from the ground up to be fast with much more reliable search and realtime collaboration.

Hundreds of teams from startups and major companies have signed up for early access and many have made early commitments to support the development of Outcrop.

If your team would be interested, I’d like to hear from you!

https://outcrop.app

https://imedadel.com/outcrop

imed at outcrop.app

I’m working on Vocabuo (https://vocabuo.com/), a vocabulary-focused language learning app.

Two main differences between this and other Anki-like apps: 1) The words you learn are from YT videos, websites and ebooks you import in the app. 2) The flashcards are optimized specifically for learning vocabulary - cards automatically get audio, images, multiple sentence examples, words definitions etc. It can also create fully monolingual flashcards with just definitions or the words in dialogs.

My biggest flex is that I have users who have done more swipes than me (over 100,000).

I'm finally wrapping up a little webdav tool that's been on my todo list for years. It's just a simple tool to copy directories over webdav. I tried using Cadaver but I kept running into strange errors with it. And this one ties in with an unusual authentication setup. Might open source it, haven't decided yet.

Also dicking around with DMARC tools. Was unhappy with all the existing tools, want something simple I can run semi-locally for a bunch of low volume email domains. Haven't decided yet how that will turn out, still in the reading specs & tinkering stage.

Nothing on the scale of most the things mentioned here, but I'm trying to assemble the first version of my digital garden to publish online a bunch of notes I've collected over many years. I'm also trying to put together a workable system to catalogue and index hundreds of thousands of digital images scattered across multiple devices so I can deduplicate them and collate them effective. Digital Librarian is not a hat I ever thought I'd end up wearing, but I refuse to buy more 18Tb HDDs and still not have any means to locate pictures in a meaningful way.

https://hackernewsai.com/

Trying to grow this newsletter - a roundup of the most votted and commented AI links from HN. After 11 issues I am at 221 subs, most of them from Reddit posts (I post a short description of the top 5 links on several AI subreddits). Not sure how long this will work, I feel like I spam these subreddits.

I want to launch on Product Hunt soon and maybe add it to some newsletter directories, but I have low expectations.

I post here on HN a link to each issue after I send it, maybe that will get from traction one day.

We’re a group playing floorball (https://en.wikipedia.org/wiki/Floorball#:~:text=Floorball%20...) once a week and needed a simple way to know we got enough players to play.

I’ve been mostly vibe coding RecurAt (https://recur.at) to get a feel for coding this way and been learning a ton about frontend development at the same time.

Next.js app hosted on Vercel.

working on a hybrid done with you quick website launches ( https://betterwebgroup.com/quicklaunch-start/ ) to help people get started - using some tutorials and guidance for ai writing your text copy. more than half baked now, testing on the 1st!

I've been working on an award flight search tool -- theres so many interesting problems to solve: - How do you bypass bot detection? - How do you achieve fast loading results? - How are you able to teach users how to get the best deals possible w/ award travel.

Theres so much more to do in terms of reliability (bypassing bot detection) and onboarding new programs (right now, only American, jetBlue, Delta, Virgin Atlantic and Alaska are supported). But progress has been good and im excited about it. https://awardlocker.com

I’ve spent a good amount of hours reviving a broken SRS DG535 pulse delay generator: https://www.eevblog.com/forum/repair/srs-stanford-research-d...

There were many detours and scenic routes taken for what turned out to be a pretty straightforward repair in the end, but that’s not uncommon for these kind of things.

I’m on my way back from Home Depot to buy some screws that were missing (and a Xmas tree.) Soon all that’s left will be writing a blog post.

Working on Infralyst: https://infralyst.io

Self serve AWS cost savings for Terraform users. Connect AWS (read only role via a Terraform module), GitHub and Terraform state. Infralyst finds underused resources and opens a PR to downsize, gated by best practice checks so it doesn’t suggest sketchy changes.

Free: 3 downsizing PRs per workspace. Pro: $99/mo unlimited PRs. Looking for early users and blunt feedback from teams running AWS + Terraform.

If you try it and mention you came from HN, I’m happy to set you up with an early adopter discount.

I am working on a little browser extension to copy github pull requests into the clipboard to share them in chat apps for reviews. I am used to manually ping people with the link and found that having the pr title and the link format github uses makes it easier for people to understand what they are about to review, and potentially makes for a quicker review :).

https://chromewebstore.google.com/detail/github-pr-pretty-li...

We've been building https://nimstrata.com/ for almost three years now, we put Google's Vertex AI product discovery algorithms on Shopify and Salesforce ecommerce storefronts.

At a high level, Google does not have a product culture, so there is a lot of white space for companies like ours to make adopting Google Cloud APIs much easier for less technical users.

It's also wild how much Agentic AI is creeping into all of our conversations - this space is constantly evolving as we're building.

Built a daily puzzles site at https://dailybaffle.com.

Working on a new puzzle for it as well as the mobile app, which is coming for iOS and Android around the holidays.

Created a community based poll where we vote and comment on a different stock every week.

https://www.assetroom.net/diamond-or-dud

Would love feedback.

I've built a web app primarily for my Hiking Club but then my plan is to also sell it to others.

https://mojtim.ba/en/

'Vibe coded' this in about a week recently. The app is also available in English and has a demo account available.

I wrote about the building process on my Linkedin (https://www.linkedin.com/feed/update/urn:li:activity:7404469...)

https://github.com/baalimago/kinoview

An agentic media player, intended as home media server for.. uhh.. seasonal vacation videos with subtitles. I've experimented a lot with different "levels" of AI automation, starting from simple workflows, to more advanced ones, and now soon to fully agentic.

Pretty good practice project! All written in Go with minimal dependencies and an embedded vanillja-js frontend built into the binary (it's so small it's negligable)

I'm working on hand-building mugs. Throwing clay around in a studio, etc.

But I'm also thinking about it as a product manager based on my tech experience. Looking at what people like in mugs, creating templates to exactly size the mugs to people's preferences, creating re-usable molds to put repeatable components together, and taking detailed notes on exactly what I am doing in-studio to create a repeatable, reliable process to create a product that will sell.

It is going poorly so far, but each iteration gets better, so hopefully I have everything down before I end up with 100+ unsellable mugs in my kitchen.

I've been building out my portfolio at https://verdient.co.uk/ and writing more blog posts about applied maths on my blog at https://tom-dickson.com/

Most recently I've been having fun extending the functionality on a website I use to host tools that help me structure and plan workouts - https://ironvolume.com/

I've been hard at work building a weightlifting workout tracking & analytics app. Its main selling points are being iOS native, being a one-time purchase, and being completely private (does not depend on a backend, but still saves data to the cloud).

If it sounds interesting, you can sign up for a waitlist here, it even includes some screenshots: https://plates.framer.website/ (excuse the website being on a framer domain, i promise the app is far more professional)

SellerMate [https://sellermate.neilvan.com]

I'm currently improving this order queueing and sales recording web app for small coffee shops. Made primarily for my friend's coffee shop. Data is stored locally, and the app is fully functional when offline. There is an optional "syncing" feature to sync data with multiple devices which requires a sign up. This is a Progressive Web App built with Web Components. The syncing is made possible with PouchDB/CouchDB. Completely free to use.

https://fluxmail.ai

It's an AI-native email client. Launching soon!

My goal is to help people get done with email faster, so that they can get back to doing other stuff. A lot of the features are designed around this goal: unified inbox, AI summarization, AI email drafting, etc.

Some of these are table stakes but I think there's also an opportunity to significantly revamp how email is done in the AI age. Imagine having your own personal assistant that goes through your email and surfaces the highest priority things that you need to know automatically.

I'm working on an open source swift app that sends anything you circle in a pdf or epub to AI for an explanation. Currently it works with Gemini but I'm going to allow users to add their own OpenAI compatible endpoint soon.

I think it works best on Mac and iPad. Available on TestFlight and GitHub.

https://github.com/syousif94/EasyReader https://testflight.apple.com/join/1KvY5cwC

Working on my app https://apps.apple.com/us/app/mintflow-netstack/id6742394218

As an engineer working on networking and fiddle with various networking OS on router and switch, I finally port my favorite fd.io vpp to darwin platform and built a app to management multiple VPN/Proxy in one profile.

Also in this project I start writing some rust code with many years experience in C but rust's memory and high performance really impressed me a lot.

Taking a break from software to remodel a house by myself. The plan was just to redo the kitchen and a bathroom and be done by August, so naturally it's now December here in Minnesota and the house is missing most of its wiring, pipes, insulation, and walls. :) I'm having a great time though and just started producing videos about it: https://youtube.com/shorts/6QDOXxh99PY?si=NOjvNVEVHwQt180A

I’m building a web application to catalog your guitars and amps and pedals and record each time you service them and when you bought or sold them. It’s a free service and I’m looking for BETA users to try it out. I switched up the tech stack and went with Rails with minimal AI assistance to go back to feeling like I did back in uni when I was building applications for fun and had to figure things out by trial and error. It’s been nice switching gears and doing things my way.

Take a look at https://pickpedia.app

A typed execution graph for Go. You write functions with typed inputs and outputs—Docket infers the dependency graph, runs independent steps in parallel, and caches what you tell it to. It integrates with River and a number of data stores.

I spent a year attempting to adopt Temporal at scale, and 6 months trying to wrangle some multistep data enrichment and ML pipelines. This is what I wish I'd had with what I learned

https://github.com/sugarsoup/docket

Little projects for December Adventure (https://eli.li/december-adventure)

- Just finished forking an nvim keycast script for TUI demos: https://github.com/wong-justin/showkeys-noplug

- Started making a Roku app (https://wonger.dev/nuggets#n299)

- Drafting a year-in-review post for my website

- Drafting a book review for "Programmers at Work"

https://diverticulitistracker.com/ I tried to vibe an app to track my diet and symptoms during a diverticulitis flare up.

https://wordcollector.netlify.app An offline dictionary in your browser. Dictionary is pulled from the open source wordnet dataset and cached in browser as a sqlite database. Installable as a PWA as well. Working on adding a study mode to review words that you’ve looked up in the past to help commit them to memory and adding synonyms and antonyms. Plans to add multiple languages in the future so you could use this as a language learning tool as well.

Continuing work on my AI game development agent for Godot, Ziva[0]. Basically, big games are made in game engines, and game engines are hard.

Right now you can use it to chat about and modify basic things in your game; it automatically adds open scripts, scenes, and assets to your context, and uses around 50 MCP tools for editing. Currently working on refactoring the agent loop to use Claude Agent SDK so we can piggyback off the Claude Code developer experience and focus purely on the tool and integration side.

[0] https://ziva.sh

For a fun project; rejuvenating a 1978 Chess Engine https://github.com/billforsternz/zargon. It's the second time I've worked on the same engine. The first time I got it working nicely on modern machines, running four orders of magnitude faster than in in 1978. This time I hope to get it running much faster than that. I found a bug in the 1978 Z80 assembly the other day. A blog post "Fixing a 50 year old bug..." or similar suggests itself.

https://www.onset.io A release note management platform. In my previous company, we were sending emails and slack messages for every release but they’re all were lost in either. So I decided to build a place to share releases privately and publicly.

I was thinking about FizzBuzz and thought it might be cool to benchmark various LLMs to see the highest number they could go before they got it wrong. FizzBuzz is cool because you can test whether the model's can generalize to any other game (divisors of 3 and 7 instead of 3 and 5 for example).

Fun, short and sweet experiment to run over the weekend, with some mildly interesting results :)

https://github.com/venkatasg/fizzbuzz-llm

I'm migrating my current Google Sheets solution to a web application that I will primarily use for expense tracking and budgeting. I'm learning Golang so this is a perfect opportunity for me to build something meaningful.

Two main aspects will be to do Exploratory Data Analysis and to forecast expenses.

For later stage, I am planning to create a conversational interface for the application that I will use to do basic CRUD operations as well as capability to "talk" to my data and to do simulations using hypothetical yet real scenarios in future.

I am building https://framebench.dev/ in my free time. It comprises of a bunch of utilities aimed at CAN BUS related workflows. Some things that are supported as of now:

- Easily parsing UDS, ISO-TP protocol CAN frames

- Parsing CAN-DBC files

- Building CAN Frame Payloads based on messages in a DBC file.

I’m building an open-source project to reduce GitHub Actions CI costs by running jobs on self-hosted runners on owned hardware. The motivation is to fill the gap between local workflow execution by projects like https://github.com/nektos/act and self-hosted runner setups on the cloud. My team’s requirements are simple and we don’t require all the features. We hope to keep ops simple and save costs. Any efficiency boost due to caching will be A bonus

https://upwards.dev/

I am currently on the job hunt and made a job application tracker. It's a CSR React app that uses LiveStore (https://livestore.dev/), a reactive state library built on top of WASM, SQLite, and OPFS. The app enables you to track applications, leave notes and updates, and gain insights into your data, while storing your data completely within the browser.

https://rallies.ai

Working on building an investment assistant backed by real time data. ChatGPT and Perplexity finance are amazing, but all of them are based on web search data only, which is a big limitation in finance since realtime data is important.

We have an agent that has access to almost every data point you can think of in the stock market (as much as we can get), which gets leveraged before answering.

And we also figured out ways to build amazing charts in between answer snippets, which looks very cool. Investors are usually very visual.

https://github.com/werdl/qforj

Open-source theatre tech cueing software (I don't want to use MacOS to run QLabs)

Working on migrating Hopp's [1] overlay window, which we use for drawing the remote cursors, from winit + wgpu to gpui. I used claude in the weekend to make a prototype and now I want to make a gpui app, which will replicate all of our requirements, in order to see what is missing and if I need to contribute upstream. I am planning to write a blog post when the migration is over.

[1] https://github.com/gethopp/hopp

I run a small logistics platform called Twinjet that is used by mostly food delivery courier companies. One of our main features is parsing emails from food ordering platforms in order to automatically add the delivery job to the company's dispatch board. These parsers need constant maintenance since the ordering platforms change their email formats all of the time.

I'm putting the finishing touches on an AI parser that I hope to ship after the new year. I'm getting very consistent results from Ministral-3b model, which is super light weight.

I know blockchain isn't exactly popular around here. Nonetheless, I've built a DAO where voting rights are tradable assets.

https://marketdao.dev

https://slidebits.com/isogen

An AI coding tool desktop application written in Rust and Javascript. Cursor, Windsurf and etc uses too much memory on my machine. As an engineer it is important that the tools I use daily are performant and fast and I could use while watching a youtube video or browse hackernews.

While working on the tool I am building some boilerplates to start from, starting with mobile games targeting arcade games like Flappy Bird.

I'm in the progress of open-sourcing (and extending) my static-site generator "CMS" (with big air-quotes).

The idea is to add dynamic content, i.e. reservation tool, to what is essentially a statically hosted web page.

Demo: https://astro-booking.pages.dev/booking/

A bit more details: https://www.nordstroem.ch/posts/2025-01-15-to-the-stars.html

I've started fund raising efforts for a project related to accelerating adoption of authenticated encryption between mail servers (it's time to move past opportunistic TLS).

I also launched a web browser extension last week, Blog Quest, which has some great early adoption numbers that exceeded my expectations. When I can find some spare time I'll start fixing up some of the early feedback/feature requests.

https://github.com/robalexdev/blog-quest

I’m building an online memorial product in China, currently used via a WeChat mini-app and web pages by local governments and cemeteries for digital remembrance.

I’m now exploring a global version (web + app) for families worldwide — especially those separated by distance.

The current product is in Chinese, but the idea is universal. I’d love feedback, and I’m open to marketing or distribution collaborations.

Product (Chinese): https://www.yunmu13.cn/products/

HALUD YOUR HORSES is a small containerized development workflow designed to reduce exposure to supply-chain attacks in the JavaScript and Node.js ecosystem. Every project runs inside an isolated container with its own node_modules volume. Nothing from npm executes directly on the host machine. The tools are simple shell scripts that create, enter, and fork project-specific development images.

https://github.com/maya-undefined/halud_your_horses

I'm working on a graph representation of complex data flows through a large organisation. The graph looks like crap, partially because hierarchical dagee graph layout algorithms apply a naive way of removing cycles that ruins the shape of the graph.

I've figured out a better way to remove cycles that preserves the shape of the graph in a way that works well for our purpose. Now I just need to figure out how to minimise edge crossings and line up nodes in such a way that it's more immediately obvious how the data flows between different systems.

Refresh Agent is an AI Agent for SEO and Marketing Analysis.

If you've ever tried to use Google Analytics (GA4) and Google Search Console (GSC) to figure out what's working with your marketing, and what to do next to grow, you have probably got frustrated at some point.

It acts as a Marketing Strategist. You can ask questions like "why is my SEO traffic down this week" and it will give you a clear answer based on your site's performance data, as well as a checklist to improve.

https://refreshagent.com

I’ve been playing with a Arduino compatible Uno R3 and a WS2812B RGB addressable LED light strip. I cut a 3m strip into 5 strips that are 28 LEDs long and soldered the lights together to make a display. I’ve been working on coding a font for the lights and can display about 10 different characters currently. It’s my first time really doing any sort of embedded work and my first time actually successfully soldering. Now that the thrill is gone since I solved this challenge I was thinking of making a remote control snow plow.

I created this simple stock management system. This was a good experience building an end to end product since I have been a front end developer all my life, building this has been an amazing experience.

https://stockflow-drab.vercel.app/

Here is the github URL : https://github.com/codingbbq/stockflow

Appreciate any feedback on the application or review on the code..

Thank you

https://radiant.computer

A new vertically integrated operating system and computer for the next generation.

Working on the native language and OS currently!

I'm about to launch a new (now free) version of my Mac app, CurrentKey, which helps you keep track of workflows across macOS Spaces and track how you use your Mac. https://www.currentkey.com It had been a subscription app (4.5 stars) pulling in a few thousand per year, but I recently decided to try to broaden its appeal and make it free. The new version will launch within a day or two (the launch build is just "Waiting for Review" in App Store connect).

With the recent work done enabling the use of Common Lisp in the browser on WASM, I've been thinking about spinning up a really simple static site that's just a CL REPL for people to play with.

https://github.com/fs-fio/fio

A purely functional and asynchronous effect system for F# which started as my thesis in university. It's inspired by ZIO and Cats Effect for Scala and has its own fiber system for scheduling functional effects.

I don't have much time to work on it now a days, but I try to keep up it as much as I can. I also don't have ambitions about getting a lot of users (if any), but I really enjoy working on it :)

I'm working on a multi platform client for ATProto servers, like Bluesky. The emphasis is on a clean orthogonal UI, running on platforms the default client doesn't run on, and better use of screen space on small devices.

It's a work in progress, but it's at a stage where if you ask nicely I'll let you know where to download it.

There are a lot of apps that can be built on ATProto, the PDS, etc. If you are exploring the same space I'd especially like to hear from you. I'm easy to find, which is the most useful thing about being named Zigurd.

This weekend I'm working on a new song for my NES game, Tactus. I've been busy setting up the business and preparing for its first outing at a convention, so it was nice to relax and just create for a bit.

https://bsky.app/profile/zeta0134.bsky.social/post/3m7xuxuc3...

Currently mostly happy with where this has ended up, but the percussion is a tad too basic and needs more work. One thing at a time I suppose. :)

http://mikeinnes.io/posts/advent-2025/

I've been working through advent of code using my own little compiler/language. It's in such an early state that some creative problem solving is required, not to mention the compiler bugs! But I'm very pleased to have it running interactively on my blog like this – I want to work towards some bigger notebooks in the style of explorable explanations.

I'm a product designer with no training in development. I've been hacking together a ridership data analysis platform for public transit planners using Claude Code. The data is all fake generated right now for King County Metro routes, but it pulls real GTFS for the route / stop information. AI coding is making things possible that I never dreamed of until recently - glad to be learning these tools.

https://transit-proto.vercel.app/

Working in TuxSEO (https://tuxseo.com/). The product is good, but no paying customers. I'm working on setting up a cold email campaign to hopefully diversify my outreach.

So in other words, since I'm an introvert developer, i'm trying to grow some balls to start reaching out to people.

https://opensciencearchive.org

I’ve started building a domain-agnostic scientific data archive, inspired by the Protein Data Bank. It handles the deposition, validation, curation, storage, and searching of scientific data, with plugin interfaces for domain-specific components.

The goal is to accelerate AI-for-science efforts by making it easy for scientific organisations to spin-up professional-grade data infrastructure in a matter of days. “PDB-in-a-box”.

Really difficult puzzle books that will only be available in dead tree format. Extreme killer sudoku, very hard wordsearches etc.

Was hoping to have these ready for Christmas season, but life as always gets in the way!

I wanted to add the claude code changelog to my rss reader. It didn’t have a rss feed. Now it does. Had claude code built it: https://claude-code-changelog-rss.stevenmenke.workers.dev/fe...

Repo should work with any github hosted changelog file. https://github.com/stevenmenke/claude-code-changelog-rss

I've been working on Mukbang 3D for the past year and a half—an iOS app that converts food videos into interactive 3D models using photogrammetry. Record a short video of food, and viewers can rotate/zoom/explore it while the video plays.

I recently added pose tracking of the 3d model so I can overlay 3d effects onto the underlying video.

Here's a demo: https://mukba.ng/p?id=29265051-b9c7-400b-b15a-139ca5dfaf7e

Last week I spun up a HN clone for digital nomad news.

Since I was researching DNS and global mobility, and wanted to share links with others, figured I'd just spin up a link site (though I'm still the only user).

One unique difference is I have a field for English Title, since I consume a lot of Korean & Japanese articles and want to share these, but don't want to have people translate the titles before they understand why they should read them.

https://news.reorient.guide/

I finished the library providing all features of a multisig file signing scheme. With that it was easy to develop a cli tool. And now I'm looking at developing the server component. Looking forward to share a complete solution! Git backed, decentralized, no account creation needed (auth by key pair), open source and self hostable!

Current development at https://github.com/asfaload/asfasign/

I've been working on LLMParty for some months. It is a collection of experiments that use LLM under the hood. For each experiment I tried to play with something different, such interaction, LLM knowledge, use, etc

https://llmparty.pixeletes.com

If you have to try one I recommend this

- A chatbot to control a car https://llmparty.pixeletes.com/experiments/universal_ui

Working on an iOS/Android app that lets gamers of all flavors connect with each other.

The main selling point of this app is that I do everything to let you continue do what you're doing while the algorithm search for other players. You receive a notification when a group is found or when a player is found.

Its not out yet ! The beta will be released in less than two weeks !

We have a website https://jynx.app/ If you want to leave feedback there is a form for that

https://github.com/AvitalTamir/termsheet

termsheet - a Google Sheets client for the terminal

Finished db compression in special 3D slicer software for a new type of metal printer, and designed a fully parametric large motion-platform.

Also, assembling the PCB for some custom 1U rack hardware. Added a pi5 header to the debug PCB for automated component testing.

Restructuring fabrication options for several hardware components due to trade issues. =3

"So long and Thanks for all the Fish" ( Douglas Adams )

https://www.youtube.com/watch?v=s9P71s8Zc4k

heyy i am rachel Joseph , i am bit strategist A seasoned blockchain strategist with a decade of experience working across crypto markets, DeFi ecosystems, Web3 , and token-based business models. and my currently running bit strategist where i provide useful insights and analysis and prediction for crypto block chain and web 3 here's my acc twitter : https://x.com/bit_strategist/ cmc : https://coinmarketcap.com/community/profile/BitStrategist/

Still WithAudio https://desktop.with.audio . It's getting some attention and has actually sold licences!

Someone asked for a free license in exchange of detailed private review and bug reports. They have reported more than 10 bugs so far. I'm working on some of them right now.

WithAudio is a one time payment text to speech reader app. It's one time payment because it has no server and no recurring cost! A nice side effect of this is it's 100% private.

https://fishbaitgame.com/

A 2-4 player casual card game that's similar to Exploding Kittens. It'll be free-to-play on mobile and I've been focusing more on marketing these days (mostly running ads, creating short form content, and reaching out to influencers).

I'm using Unity for the front-end, and Node.js (just because I'm already familiar with it in terms of dev + liveops) for the gameservers.

I am working on ZeroFS [0], a POSIX filesystem that works on top of S3.

[0] https://github.com/Barre/ZeroFS

https://github.com/elisiariocouto/speculum

A Terraform Provider Network Mirror.

My idea is this project to grow into a more generic proxy cache for packages/artifacts for other ecosystems: npm, pypi, maven, nuget, container images.

Have been working on an app to capture thoughts and to make sense of them with a timeline view. Have posted the first version here and got a lot of suggestions so that we continue working and now release an open testing version to play store. If anyone interested in trying please visit

https://play.google.com/store/apps/details?id=com.upbrew.tho...

Simple meal tracker to give some macros but mainly give a health rating on 1-10 scale. http://meal-tracker.fly.dev

I'm working on a way to make it super easy to create and share beautiful photo galleries that tell a story. Take your folders with photos and create a web gallery that works great on all devices.

The project has a CLI interface that is free and open-source, but you have to self-host the gallery. We are also building a SaaS app which is basically a managed version of the open-source tool with a visual builder and we take care of the hosting and CDN.

https://simple.photo

Opensource Embedded Columnar Graph Database: https://github.com/LadybugDB/ladybug

Store your graphs in Parquet files on object storage or DuckDB files and query them using strongly typed Cypher. Advanced factorized join algorithms (details in a VLDB 2023 paper when it was called Kuzu).

Looking to serve externalized knowledge with small language models using this infra. Watch Andrej Karpathy's Cognitive Core podcasts more details.

Overly specific LLM research into KV cache eviction.

The vast majority of tokens in a sequence will be irrelevant to an attention mechanism outside of a very small window. Right now however we tend to either keep all cache values forever, or dump them all once they hit a certain age.

My theory is that you can train model to look at the key vectors and from that information alone work out how long to keep a the token in the cache for. Results so far look promising and it’s easy to add after the fact without retraining the core model itself.

https://yamlresume.dev

A open source Node.js lib that allows people to create and version control resumes using YAML.

Support LaTeX/PDF/Markdown outputs in one shot with professional typesetting. Support English/Chinese/Norwegian/French languages out of the box. With clang style, real time error reporting.

To release soon: HTML output.

Demo: https://asciinema.org/a/759578

Two things currently:

1) TrickTrapper.

Backwards compatible verified phone calls. Android version is in testing with friends.

2) Katalib.

We have about 1600 books or so at home, there's no chance I'm going to scan ISBN codes of all of these. I've tried four times and got way too bored after the first 100-200. The solution? Take a photo of the bookshelf, send to Claude for text parsing and series information. Then some UI etc around that.

It's working, I just need to start testing it myself and a few friends have also asked for access.

Memory Hammer for iOS, it creates flashcards out of text, photos, visual mnemonics and helps us remember them using spaced-repetition.

Android version is already shipped - https://play.google.com/store/apps/details?id=com.abishekmut...

Get notified for iOS and web version - https://memoryhammer.com/

Working on updating my Your-Age-in-Days app[1] for iOS 26. The main motivation was to have the days I've lived always available on the lock screen with a more native feel than the workaround I had before (nightly Shortcut which updates the background image and adds the current number as an overlay to it).

[1]: https://apps.apple.com/de/app/days-of-life-milestones/id6738...

Low Touch Advisor The dream: “click a button to get a senior engineer added to your slack.” It’s a side hustle for awesome engineers.

My first customer has me looking for e6+ or cloud architects to be paid advisors to review cloud migration RFCs. (No coding) Comp is $1k per RFC you review. There are at least 18 RFCs per month to be reviewed.

Here’s my site I scaffolded for this: https://www.lowtouchadvisor.com/

Currently working on the below open source project.

Ai-rganize — For using AI to sort files/folders on your local environment (Mac, Windows or Linux). (https://github.com/adefemi171/ai-rganize)

yaml2mcp — Got tired of writing MCP servers in JSON so I decided to build this as well. (https://github.com/adefemi171/yaml2mcp)

My one-person project Zigpoll [https://www.zigpoll.com] I've cracked the eCommerce market (1M ARR as of a couple days ago) but want to spread out more broadly into other verticals (SaaS, Hotels, Restaurants, Home Services, etc...) to reduce sector risk. If anyone is cooking something up please reach out and I'll be happy to hook you up with the service for free. [jason@zigpoll.com]

https://monofocus.lovable.app/

Yup, it's another task manager.

I made it for myself to help me focus on one task at a time, hence the name.

It implements my number one productivity hack of picking a task and setting a timer. Time spent on a task increments.

Data is stored locally in the browser although there is a sync option i wouldn't shake a stick at if I hadn't built this myself.

Plus it's a PWA! Those are lovely.

I'm experimenting with a local-first autonomous agent system on Windows.

The interesting part for me hasn't been the UI or demos, but the engineering problems: how planning compares to step-by-step tool-calling, how state drifts over long tasks, and how fragile things get once you add retries and recovery logic.

Mostly learning by breaking things and trying to make the system more predictable.

I’m working on a community-driven website for finding local deals, especially happy hours, in Seattle, Washington: https://seattlebardeals.com/. I launched last week on Seattle Reddit and got a lot of positive response. The long-term goal would be to have something like this in every city, so when people are new or are just visiting they can find fun things to do on a budget

https://trivyn.io

Trivyn: Ontology-first knowledge platform. Runs on a single machine, via a single executable. I wanted a simpler alternative to the large complicated enterprise products that tend to dominate this space.

I'm really trying to get a private beta out the door by Christmas. I do plan to have a free version for academic/personal use.

Backend is written in Rust, uses oxigraph for its triple store.

I’m working on Yomu, an iOS app for reading Japanese text with adjustable furigana.

I’m learning Japanese myself (recently took JLPT N4), and I noticed that full furigana makes me rely on readings instead of actually reading kanji. Yomu lets you hide furigana for kanji up to your level and keep it for harder ones.

It’s offline-first, supports importing text from anywhere, camera OCR, and a fast dictionary.

https://yomuapp.kulman.sk

I'm working on https://www.hessra.net/

It's a full identity and authorization platform targeted for service-to-service use cases. But my focus the last couple months has been to make provisioning identity super easy, and I think I've done that (at least compared to something like SPIRE).

So if anybody has CI/CD pipelines, AI agents, edge-functions, or multi-cloud workloads they want to give auditable identity, I can help!

Slowly degoogling my life. Switched to FastMail a while ago, it works. Have written a simple shopping and todo list web app, and a minimal photo gallery. All very simple, mostly for one user only: Myself. Using these as excuses to learn about coding with LLMs. As I have retired a few years ago, I can afford the time, and work with no stress or deadlines. Also slowly improving my beer tracker system. All this as perl-based cgis under Apache, running on my home server/workstation.

https://tagbase.io … our mission is to stop counterfeits and empower brands. And as the CTO I have the privilege to play with all the nice technologies: Elixir both on the web and Raspberry Pis via the https://nerves-project.org. Having an IT background I love the challenges that come with hardware design and to learn new stuff because of that.

https://apps.apple.com/us/app/echu/id6755234919

echu – a tiny app that turns long reads, books, and youtube videos into short, readable cards. helped me process my 3yo 'learn later' backlog in just one week.

A standalone audio processing engine + app with a web ui for the Raspberry Pi and other ARM based SBCs, that let's me use NAM models from tone3000 for guitar effects. Two channels with gains, noise gate, NAM, eq and reverb.

Open source: https://github.com/kidproquo/hoopi-pi-ng

* Continuing development on Breaka Club (https://breaka.club/blog/why-were-building-clubs-for-kids) — Turning kids from consumers into creators.

* GodotJS — https://github.com/godotjs/GodotJS — TypeScript for Godot

* Consulting for companies using GodotJS (and Unity).

https://www.tekushi.com/

I'm building a simulation training to master online self-defense.

I take the principles of martial art and apply it to online safety against all the current threats.

This is a browser-based simulation game where you train and learn detecting threats and dark patterns in a safe environment.

I've build it in Python/Flask as a solo maker.

Any suggestions are welcome!

I'm trying to make localhosting (https://thelocalhostinger.dev/localhosting) a thing. It's about finding ways to strip away unnecessary complexity of selfhosting in very specific edge use cases.

Right now I am tinkering with wails (https://github.com/wailsapp/wails) to build an app store.

https://postcrest.com It is a SaaS that allows you to create virtual characters to create, schedule and post educational or entertaining content on social media platforms with consistent personas. It is still very much work in progress, but already has some basic features working.

It allows anyone with ideas for engaging content to become a content creator without having to appear in front of the camera.

I have been building Olyetta.

It's an AI interviewer that helps you record YouTube and podcast interviews in a more natural way.

You can set an agenda list of itemes to be interviewed about and it helps you speak naturally on camera.

https://www.olyetta.com/

I made a free demo available. Let me know if you think that's a good idea?

https://github.com/rush86999/atom

Marketing line: Atom is your conversational AI agent that automates complex workflows through natural language chat. Now with Computer Use Agent capabilities, Atom can see and interact with your desktop applications, automate repetitive tasks, and create visual workflows that bridge web services with local desktop software.

work in progress

Open Source ERP system for Makerspaces and Community shared system.

Started out as a kanban style of system where anyone could request that we re-order cleaning supplies at a Makerspace. Has evolved to tagging assets and maintaining those assets and I'm working on adding ESP32 based device control to enable/disable devices through those QR codes.

https://github.com/uid0/openmakersuite

Most recently (yesterday), vibe coding a better interface for Roblox screen time: https://github.com/astrostl/blockblox . Claude Code crushes, and I'm preferring Go for everything I can to take advantage of typing, quality ecosystem, and distribution. Still need to implement the QE side on this as I have on other things.

I'm building a TypeScript to native code compiler, via the Dotnet CLR toolchain and Native AOT. This lets you use the excellent Dotnet std library - which in addition to being faster is also much safer than the npm ecosystem. There's also a node compat library, which exposes Node APIs but with CLR underneath.

The end result will be a binary (linux and mac for now) which you can run without NodeJS. Simple programs already work, and I have web apps very nearly running.

https://trypixie.com

I’ve been working on Pixie, a platform to employ and track your kids for real work; for families with a business, it helps reduce tax burden and fund a child’s Roth.

I’m actually an anesthesiologist with some 1099 income, built the platform myself because my kids help with my side projects, and have since onboarded CPAs who now offer it to their clients. It's been a fun journey!

Building https://canonicalschema.com/, I started with a simple CSV viewer because none of the existing online tools supported large files or provided flexible column statistics and filtering to easily understand the data. My plan is to grow it into a full application where users can more easily manipulate and analyze CSV or spreadsheet data.

Making music with the machine!

Album here: https://open.spotify.com/album/3e6k9eiGUlOBcoI2yd3DrM

Written about the process here: https://songxytr.substack.com/p/on-making-music-with-the-mac...

Raygum, a way to track and share your favourite music _outside_ of the big streamers: https://raygum.com

Lite³: a binary format encoding JSON documents as a serialized B-tree, making it possible to construct iterators on them directly and query internal fields at indexed speeds. It is still a serialized document (possible to send over a network), though now you don't need to do any parsing, since the document itself is already indexed.

https://github.com/fastserial/lite3

My "test prompt" for AIs used to be to create an extension to manage tabs. After a year and with MV3 the extension I used to kill duplicated tabs died.

Now this one became my favorite extension.

https://github.com/jeanlucaslima/ato

Warning: current version is maintained only through claude code, even the README. Feel free to criticize/send suggestions.

Mu - a personal app platform that includes chat with AI, news, video, posts and now mail. Solving a personal problem with ads, algorithms, tracking.

Tech is too addictive now. We need to get back to utility value. I'm trying to build an alternative with myself as user 1.

https://mu.xyz https://github.com/asim/mu

I'm building a Typeform/Google Forms alternative that integrates into existing applications and stores data in your own database. It allows you to define forms in JSON Schema or JSON Forms. Forms can be added or removed dynamically, and submissions are sent to your backend and in turn stored in your database.

Built using our full-stack library toolkit Fragno [0].

[0]: https://fragno.dev/

I've spent several years solo-developing an ad-free website with over 50 different solitaire/puzzle games:

https://inSolitaire.com

I've rewritten this project (almost) completely three times and now doing it for the fourth time, with tests and best practices.

I would be incredibly grateful for any feedback what I'm missing with it.

So far it has been great fun and I have learnt an incredible range of things!

Been working on https://qave.chat, Wanted Slack to be more supportive for developers so been iterating on feature parity with Slack but optimised for developer workflows.

This looks like keyboard driven commands, secrets store (to be done) and scripts that you can write and store without spinning up a new server (easier chat ops)

Still in early alpha so after a few more polish it'll be ready, but you can try it right now!

OpenSpend is an open-source, free-to-use, self-hosted payment gateway for your next app, project, or business. It lets end users send money directly to businesses using their online banking app or website. And businesses can check live and instantly whether the money has been deposited or not.

Learn more at https://github.com/openspend/openspend

I'm still working on my Web Server Library .NET Core https://stratdev3.github.io/SimpleW/

I'm rewriting from scratch : https://github.com/stratdev3/SimpleW/releases/tag/REWRITE

https://workglow.dev

It is a workflow graph automation site (drag and drop and connect nodes), but is a toy and only allows a local user and local models (both transformers.js and tensor-flow mediapipe), so costs me nothing. Mostly text stuff at the moment, but working on a slate of image stuff this week, may get to audio and video as well, we shall see.

I am learning C++ and ImGUI. My first app is a JSONL Viewer. Recently I‘ve added support to read parquet files (uncompressed) too.

https://iotdata.systems/jsonlviewerpro/

Next step is to integrate a visual data pipeline by using ImNodes. I‘m slowly making progress in my experiments, but C++ has a steep learning curve, especially when targeting MacOS and Windows at the same time.

Creating Daino Qt - a collection of components that makes Qt apps feel and look native on both Desktops and mobiles (each with its own set of challenges).

Developing Qt apps with C++ and QML is a blast - the fast performance of C++ and ease of use of writing UI in QML. But there is so much left to be desired with the built-in Qt Quick components - mobile issues like non native text handling, non native swipe-able stack view and much more. I’m aiming to bridge that gap.

Checkout Sugar - A Dev Team That Never Stops.

Autonomous AI development for Claude Code. Delegate tasks, Sugar executes continuously—building features, fixing bugs, shipping code.

https://sugar.roboticforce.io/

https://github.com/cdnsteve/sugar

Pretty pumped, 22 stars and growing!

I've released a new version of CoAP_SPARK, my formally verified implementation of this IoT protocol. The implementation language is SPARK, the verifiable subset of Ada. https://github.com/mgrojo/coap_spark

Started working on a training plan builder after getting frustrated with trying to use an existing service (trainingpeaks) and not finding the controls intuitive enough without being a coach in their system.

https://bloks.run/

I wanted something local and offline first + 10-20% better than excel, think I'm missing a few features other might find useful, but it works for my needs which has been great.

https://codeisnolongerwritten.com

A 90-min workshop to introduce development Teams the full potential of AI coding agents.

Over the last few months I’ve been optimizing an AI-first SDLC for real engineering (not vibe code), getting amazing results on small Teams both in terms of delivery output and devex.

Some friends asked me to formally present and help their Teams, and enjoyed every moment of it.

I am working on a new AI paradigm(Non LLM AI) that treats AI as a modeling problem rather than a scaling problem of text prediction. More details here :

https://theantagonistai.substack.com/p/ai-is-a-modeling-prob...

An everything app, for all your music, videos, work, money and more: its called E5 https://page.twentythreeinreverse.com/ or https://ipfs.io/ipns/k51qzi5uqu5dmcdach9nq8aji8tgsfsqkh1jozp...

I am hunting for the source code of VR-1 Crossroads

It was a mud style game in beta that ended up getting axed in the early 2000s (?) but it was brilliant and a few of us stuck around in it long after we should have.

If anyone has heard anything about it, let me know!

About all I can find publicly so far https://x.com/hellcowkeith/status/885362337384878080

I am learning Unreal Engine for a year. im almost half way through and am making a simple Space Invaders clone which I will publish on steam for free.

I'm working on a collection of mnemonic images for learning written Chinese. Each has a solarpunk-style image referencing both the character's meaning and pictographic etymology, with the character overlaid and color-coded to indicate the tonality in Mandarin.

While I'm talking about it, do the folks here have any suggestions where I should make it available? I want it to be a free educational resource for whoever might want it.

https://angryangels.sarah-rosenhahn.de/try-the-cemetery-of-f...

please don't hug to death, I only got 10 GB of Data

it's 1st MVP and I got a dayjob, so please be kind. Haven't put out a howto yet, but ideally you have a notebook and a pen, some memories and grief to work through.

https://atlasliveshere.com

A personal photography website for myself using a bunch of AI services to enable automatic tagging, color extraction, and hopefully some novel discovery methods.

I really like the color discovery features - I wanted something like this to exist when I was trying to find prints for my house with specific color harmonies.

Started a newsletter [1] focused on agentic coding updates, nothing else. Other newsletters/blogs cover a lot of generic AI news, industry gossip, and marketing fluff. Having a focused feed is something I wanted for myself and finally I have enough time that I can write this newsletter regularly.

[1]: https://www.agenticcodingweekly.com/

https://rounak.taptappers.club/fitness

I crunched Strava data (the Strava MCP project is incredible, and I ended up contributing to it!) and built myself this fitness hall of fame page (and also rejuvenated the remainder of the portfolio). Almost all of the stuff here is vibe coded, very happy how much I could achieve.

My blog. I created it a couple years ago but didn't really know what to do with it. Have started to use it as a way to learn and have enjoyed writing more than I thought I would. Nothing crazy with UI and I am not talking about anything groundbreaking, but it's been fun!

Shameless plug: https://jeremymaslanko.com/

Currently working on my own education by learning C from Antirez's C course on YouTube.

I've been working as an ERP developer for a couple years now and the job is so dull and boring that I'm already starting to feel stagnant. So, I am learning more advanced things now in order to: 1. Advance my career, and 2. Maybe code some linux tool (for personal use only, for now!) and stop looking at enterprise code.

I am working on https://github.com/furkan/dockerlings, a TUI for learning docker (name and concept inspired by rustlings). It has attracted a surprising but welcome amount of interest, and I'm looking into extending it with more advanced exercise paths. Open to feedback & collaboration from all.

A database desktop client, built with Tauri & SvelteKit.

"But there are many already!" I hear the crowd exclaim.

I respond, "Yes, but..."

It's really something I want for myself. Lightweight, as fast as humanly possible, extensible via plugins (in fact the entire app is mostly plugins, with a small core to glue it together), and a tiny bit of LLM (call it AI if you wish) integration to ask questions about the database or generate/review queries.

I did (with the help of GPT) a simple script to deploy my Django+Celery projects to DigitalOcean. I was a bit afraid of that in the past, but now it's just a script that, after configuring a few variables (IP, etc), runs smoothly and gives me a perfectly deploy for a side project on a DO droplet. And also I can run again to just deploy a new version.

For most people this is silly but I am super happy that it works.

I've been working on a game for playdate, part time for the last year+. It's a wonderful device and community. The hardware constraints are extremely freeing, and inspires creativity. Mostly Lua, but if you want to push the boundaries, you need to go fairly low level C, and I've found pushing in those boundaries to be just a blast. It's great platform if you're interested in a game dev hobby.

I’ve been working on "Next Arc Research" — https://nextarcresearch.com - a wrapper around my curiosity to understand how AI, compute, and capital might change markets by 2030.

It’s not a trading tool or product. More like a weekly, machine-assisted research project. Each cycle I run analyses on 120+ public companies across semiconductors, cloud, biotech, energy, robotics, quantum and crypto. The framing is inspired by Emad Mostaque’s “The Last Economy” thesis — the idea that when intelligence becomes cheap, the physics of value creation start to look very different. I originally built it for myself and retail investors in my family but I figure it could have more general utility so prettied it up a bit.

The system uses large-model reasoning (GPT-5+ though I've also tested Sonnet, Gemini and Grok) combined with structured scoring across technology maturity, risk, competitive positioning, and alignment to AI-era dynamics. The output is static HTML dashboards, PDFs, and CSVs that track month-over-month shifts. I'm adding to it weekly.

Mostly I’m trying to answer questions like:

* Which companies are structurally positioned for outsized upside in The Last Economy?

* How should I deliver the research so that it would have been actionable to someone like me 30 years ago?

* What signals would help folks identify “the next NVIDIA” 5 years earlier?

The inference costs real $$$ so I've set up a Patreon that, hopefully, will allow me to scale coverage and extend the modelling and methodology. There is a free tier and some recent, complete example output on the web site. I'm also happy to gift a free month for folks willing to provide constructive feedback: https://www.patreon.com/NextArcResearch/redeem/CC2A2 - in particular I'm looking for feedback on how to make the research more actionable without drifting into "financial advice".

I don't collect any data but Patreon does for authentication and Cloudflare does to deliver Pages. The Last Economy is here: https://ii.inc/web/the-last-economy

When someone dies, you don't get even one extra second to access the documents and information they meant to share it with you. Trying to fix this problem with Eternal Vault.

Link: https://eternalvault.app

Another thing thats in early alpha right now is CapKit, AI professional captions for short form videos

https://capkit.app

Working on increasing the knowledge about the watch industry. I just posted an article about how Swiss Super-LumiNova® is made. https://www.thenakedwatchmaker.com/making-swiss-super-lumino...

Trying to figure out how this platform works as well. :))

I recently released Blobcache v0.0.2. https://github.com/blobcache/blobcache

Blobcache is a content-addressed data store for holding application state, and buiding E2EE applications. This most recent release includes a git remote so you can push and fetch Git data into and out of Blobcache.

Building a little extra tool for my reservation system, which simulates guests reserving accommodations before a customer launches. This is nice if you have no idea how users will respond to your availability and options.

We have an ML model that's trained on real reservations and use an LLM to decide why a user mightve opted out. We apply personas to this LLM to get a bit of a sense how they would probably be operating the booking flow.

I am working on a casual/strategy game that will be released in the App Store very soon (followed by Play Store and others as I have time). https://tetranea.net/ It is a deck-builder, tile-placer aimed at an audience who wants a relaxing game with some challenge.