I changed gears and moved into the video games industry at the end of 2021.

I started developing a city builder called Metropolis 1998 [1], but wanted to take the genre in new directions, building on top of what modern games have to offer:

- Watch what's happening inside buildings and design your own (optional)

- Change demand to a per-business level

- Bring the pixel art 3D render aesthetic back from the dead (e.g RollerCoaster Tycoon) [2]

I just updated my Steam page with some recent snapshots from my game. Im really happy with how the game is turning out!

[1] https://store.steampowered.com/app/2287430/Metropolis_1998/

[2] The art in my game is hand drawn though

We spent years waiting for a truly mature cross-platform UI solution.

But with AI, maybe the better path is no longer “one runtime everywhere.”

I’m building OpenUISpec: [https://github.com/rsktash/openuispec](https://github.com/rsktash/openuispec)

It’s an open spec for describing UI semantics, state, actions, and flows once, then generating native implementations for iOS, Android, and web.

The idea is not: write UI once, run everywhere

The idea is: describe product behavior once, render natively everywhere

So instead of sharing widget code, the goal is to share: screen structure states and transitions actions validation bindings design tokens platform adaptation rules

Why this seems interesting to me:

Traditional cross-platform approaches try to unify rendering. OpenUISpec tries to unify intent.

That means: native UI can still stay native product behavior can stay consistent AI/codegen has a structured source of truth teams may reduce duplication across platforms

The hard part is not generating code. The hard part is whether the spec can remain the source of truth without turning into “generate once, then manually patch forever.”

That’s exactly the problem I want to explore.

I’d especially love feedback from people working with SwiftUI, Jetpack Compose, React, design systems, or AI-assisted app development.

If you want, I can also rewrite it in a more HN-native tone, less promotional and more discussion-oriented.

Vibe-coded a YouTrack CLI tool in < 1 hour:

https://github.com/keithn/yt

Also working on a language for embedded bare-metal devices with built-in cooperative multitasking.

A lot of embedded projects introduce an RTOS and then end up inheriting the complexity that comes with it. The idea here is to keep the mental model simple: every `[]` block runs independently and automatically yields after each logical line of code.

There is also an event/messaging system:

- Blocks can be triggered by events: `[>event params ...]`

- Blocks can wait for events internally

- Events can also be injected from interrupts

This makes it easy to model embedded systems as independent state machines while still monitoring device state.

Right now it’s mostly an interpreter written in Rust, but it can also emit C code. I’m still experimenting with syntax.

Example:

    module WaterTank {
      type Direction = UP|DOWN
      let direction = UP
      let current = 0

      [>open_valve direction |> direction]
      [>update level |> current]

      [
        for 0..30 |> iteration {
          when direction {
            UP   -> !update level=current + 1 |> min(100)
            DOWN -> !update level=current - 1 |> max(0)
          } ~
          %'{iteration} {current}'
        }
      ]

      [>update level |> when {
          0..10  -> %'shallow'
          11..15 -> %'good'
          16..   -> %'too much!' then !open_valve direction=DOWN
        }
      ]
    }

Since subreddits related to identifying AI images/videos got very popular, my wife started to send me cute AI generated videos, older family members can't distinguish AI videos at all, I've decided to code a weekend side project to train their Spidey sense for AI content.

https://IsThisAI.lol

The content is hand picked from tiktok, Instagram, Facebook, Reddit and other AI generating platforms.

Honestly I don't know where I'm going with this, but I felt the urge to create it, so here it is.

I learned how to optimize serving assets on CloudFlare.

Feedback welcome.

I'm still having a lot of fun releasing daily puzzles for my game Tiled Words: https://tiledwords.com

It just won an award! It was awarded Players' Choice out of 700 daily web games at the Playlin awards: https://playlin.io/news/announcing-the-2025-playlin-awards-w...

Right now around 3,500 people play every day which kind of blows my mind!

It's free, web-based, and responsive. It was inspired by board games and crosswords.

I've been troubleshooting some iOS performance issues, working on user accounts, and getting ready to launch player-submitted puzzles. It's slow going though because I have limited free time and making the puzzles is time consuming!

Here's an article with more info about the award: https://cogconnected.com/2026/03/tiled-words-crowned-the-pla...

Im building https://trypixie.com to legally employ my 7 year old child, save on taxes and contribute to her Roth IRA.

Im also building https://www.keepfiled.com, a microsaas to save emails (or email attachments) to google drive

I almost forgot, I also built https://statphone.com - One emergency number that rings your whole family and breaks through DND.

I love building. I built all these for myself. unfortunately I suck at marketing so I barely have customers.

Because 9 out 10 Startups fail, early startup investing is not investing, it’s philanthropy with a potential upside. So I’ve created a new game of Venture call VentureStaking where multiple people come together to form a grant for a founder (no debt / no equity) to spend a year researching a problem (ie Thiel Fellowship) and then if that founder discovers something interesting, the grantors can invest up to 10x their grant amount in equity. So, for example, a $100,000 grant creates a potential $1MM equity round to keep the momentum going. Thus, a VentureStaker can give $10 grants to 100 Founders to discover the 3-4 that come up with a great opportunity and invest 10x in those rounds. The SEC has been vetting this system for 8 months and cannot conclude it’s a security which means that we can operate VentureStaking without expensive legal compliance. SEC rules are only triggered at the first equity round and RegCF can allow multiple retail investors in as one line item on the cap table. So now, it’s a game of Discovery to start and smarter investing later. To learn more, go to Doriot dot com.

I'm using TimescaleDB to manage 450GB of stocks and options data from Massive (what used to be polygon.io), and I've been getting LLM agents to iterate over academic research to see if anything works to improve trading with backtesting.

It's an addictive slot machine where I pull the lever and the dials spin as I hope for the sound of a jackpot. 999 out of 1000 winning models do so because of look-ahead bias, which makes them look great but are actually bad models. For example, one didn't convert the time zone from UTC to EST, so five hours of future knowledge got baked into the model. Another used `SELECT DISTINCT`, which chose a value at random during a 0–5 hour window — meaning 0–5 hours of future knowledge got baked in. That one was somehow related to Timescale hypertables.

Now I'm applying the VIX formula to TSLA options trades to see if I can take research papers about trading with VIX and apply them to TSLA.

Whatever the case, I've learned a lot about working with LLM agents and time-series data, and very little about actually trading equities and derivatives.

(I did 100% beat SPY with a train/out-of-sample test, though not by much. I'll likely share it here in a couple weeks. It automates trading on Robinhood, which is pretty cool.)

Cooking up a NSFW filter for marginalia search.

Pipeline so far has gone like this:

* Use the search engine's API to query a bunch of depravity

* Use qwen3.5 to label the search results and generate training data

* Try to use fasttext to create a fast model

* Get good results in theory but awful results in practice because it picks up weird features

* Yolo implement a small neural net using hand selected input features instead

* Train using fasttext training data

* Do a pretty good job

* for (;;) Apply the model to real a world link database and relabel positive findings with qwen to provide more training data

Currently this is where I'm at

  Accuracy:   90.90%
  True  Positive: 1021
  False Positive: 154
  True  Negative: 2816
  False Negative: 230
  Precision:  0.8689
  Recall:     0.8161
  F1:         0.8417

Well, I just jumped full time on IronCalc[1] a fully open source, light and fast spreadsheet engine designed and build from the ground up.

I have been working on it as side project for over two years and now, with funding from the EU for the next 2.5 years, I hope I can make of it a real product for everyone to use that can compete with the likes of Excel and Googl;e Sheets.

I can oly say, I am overly, off the Moon excited

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

My wife and I continue to work on Uruky, a EU-based Kagi alternative [1]. Since last month we got deals with a couple more search providers but we’re still waiting for EUSP/STAAN to provide us with an API key (we have progressed through a few more forms and signatures and legal stuff, though).

We’ve continued to get some paid customers and have exited beta last week, given everyone seemed to be quite satisfied and there hadn't been requests for changes, only some specific search providers.

Because of bots there isn’t a free trial easily available, but if you’re a human and you’d like to try it for a couple of days for free, reach out with your account number and we’ll set that up!

Thanks.

P.S.: Because people have asked before, our tech stack is intentionally very "boring" (as in, it generates and serves the HTML + bits of JS to enhance settings and such — search can be done without JS), using Deno in the backend (for easier TypeScript), PostgreSQL for the DB, and Docker for easier deploying.

[1] https://uruky.com

I'm working on a self-hosted search service called Hister with the goal to reduce my dependence on online search engines.

Hister is basically a full text indexer which saves all the visited pages rendered by your browser. It provides a flexible web (and terminal) search interface & query language to explore previously visited content with ease or quickly fall back to traditional search engines.

Here's a little summary of the background/motivation/beginnings: https://hister.org/posts/how-i-cut-my-google-search-dependen...

Project site: https://github.com/asciimoo/hister

Website: https://hister.org/ Read-only demo: https://demo.hister.org/

Reading and blogging. I'm early career and trying to transition into a performance engineering-esque role. So, I'm spending a lot more time writing to learn, particularly about OS under-the-hood stuff and observability best practices.

I live in an old house.

The front bump out leaks when we get driving rain. I installed some flashing but that wasn't enough, it's still leaking. So I'm working on that so I can close up the big hole in the ceiling some day.

The prior owners filled in the old coal chute with literal bags of cement sort of artistically placed in the hole in the brick foundation. So I'm trying to figure out what masonry tools and skills I'll need to close it up proper.

I'd like to build my kids a playhouse of some sort, sketching out some designs for that.

https://github.com/jsattler/BetterCapture

I'm building a lightweight screen recorder for macOS. It supports lots of features you'd expect from a professional screen recorder such as ProRes 422/4444, HEVC/H.265, and H.264, capturing alpha channels and supports HDR. Frame rates from 24 to 120fps. Can capture system audio and mic simultaneously. You can also exclude specific things from recordings, like the menu bar, dock, or wallpaper.

No tracking, no analytics, no cloud uploads, no account. MIT licensed. Everything stays on your Mac. Still early, but happy to hear feedback!

After more than a decade of developing various websites under the brand https://anoa.ca I am pivoting the brand entirely to a creative niche: portfolio websites for the film industry. I created a new, general brand for the rest of my front end development work: https://lodewell.co

It feels like a small change, but it really makes sense in my brain and I'm glad I finally made it happen. My services feel properly positioned under these distinct brands. Now of course when I get time I need to redesign both of my own websites.

Ideas wise... I like the static website world. I use 11ty, but there are others moving in this direction. Clean, performant, simple html / css / js websites that should last for decades. I like the idea of publishing them to IPFS, creating an indie web with some permanence to it.

We just launched a portfolio for Director of Photography Joel Honeywell: https://joelhoneywell.com/

This is a simple static site, no CMS, built with 11ty.

One month ago, I purchased this small eink reader (Xteink 4) and I've been loving reading on that device. It made me read much more in the past month (already more than 50% through Fall or Dodge in Hell).

The stock firmware is horrible but the community has this firmware called CrossPoint. I wanted to be able to upload, manage files etc. from my iPhone on the go and also send over web articles. So I build this app CrossPoint Sync https://crosspointsync.com to do just that.

I've already published it on App Store and pending publishing on Android. The community is niche and has also been using the app, so its been fun building for my use and in turn also getting good feedback from community.

If you are using the Xteink and CrossPoint firmware, then give the app a try.

iOS App Store: https://apps.apple.com/app/crosspoint-sync/id6758985427

Android Beta: https://crosspointsync.com/android/join-beta

GitHub: https://github.com/zabirauf/crosspoint-sync

When GPT-4.5 came out, I used it to write a couple of novels for my son. I had some free API credits, and used a naive workflow:

while word_count < x: write_next_chapter(outline, summary_so_far, previous_chapter_text)

It worked well enough that the novels were better than the median novel aimed at my son's age group, but I'm pretty sure we can do better.

There are web-based tools to help fiction authors to keep their stories straight: they use some data structures to store details about the world, the characters, the plot, the subplots etc., and how they change during each chapter.

I am trying to make an agent skill that has two parts:

- the SKILL.md that defines the goal (what criteria the novel must satisfy to be complete and good) and the general method

- some other md files that describe different roles (planner, author, editor, lore keeper, plot consistency checker etc.)

- a python file which the agent uses as the interface into the data structure (I want it to have a strong structure, and I don't like the idea of the agent just editing a bunch of json files directly)

For the first few iterations, I'm using cheap models (Gemini Flash ones) to generate the stories, and Opus 4.6 to provide feedback. Once I think the skill is described sufficiently well, I'll use a more powerful model for generation and read the resulting novel myself.

I'm implementing a RISC-V assembler and simulator in Rust. It's been a great excuse to learn the ISA and gain some confidence in the language. Now I'm working on pseudoinstructions and it makes me feel like i'm back in college! https://github.com/servomac/ruscv/

Building an AI tire safety inspector that analyzes tread depth, wear patterns, and damage from a single photo.

Hardest problem: vision models kept confusing nail punctures with tread separation at side angles. Fixed it with a two-pass approach — a dedicated damage pre-scan runs first and overrides the main analysis when there's a conflict.

Still unsolved: tread depth estimation from angled shots underestimates by 1-2mm consistently.

Stack: FastAPI, React PWA, Claude Sonnet 4 vision, Railway.

Free to try: https://tinyurl.com/aitireanalysis

I'm writing an essay where I get into how I use GNU Emacs along with gptel (a simple LLM client for Emacs) and Google's Gemini-3 family of models to turn a 1970s-vintage text editor into a futuristic language-learning platform to help me study Latin. I want to show how I liberate poorly aligned, pixelated PDF image scans of century-old Latin textbooks from the Internet Archive and transform them into glorious Org mode documents while preserving important typographic details, nicely formatted tables, and some semantic document metadata. I also want to outline how to integrate a local lemmatizer and dictionary to quickly perform Latin-to-English lookups, and how to send whole sentences to Gemini for a detailed morphological and grammatical breakdown.

I also intend to dig into how to integrate Emacs with tools such as yt-dlp and patreon-dl to grab Latin-language audio content from the Internet, transcode the audio with ffmpeg, load it into the LLM's context window, and send it off for transcription. If the essay isn't already too long, I'll demonstrate how to gather forced-alignment data using local models such as wav2vec2-latin so I can play audio snippets of Latin texts directly from a transcription buffer in Emacs. Lastly, I want show how to leverage Gemini to automatically create multimedia flash cards in Org mode using the anki-editor Emacs minor mode for sentence mining.

Wanted to see if AI could figure out how to compress executable binaries better than existing generic tools without me actually knowing much about compression engineering or ELF internals.

The result is an experiment called fesh. It works strictly as a deterministic pre-processor pipeline wrapping LZMA (xz). The AI kept identifying "structural entropy boundaries" and instructed me to extract near-branches, normalize jump tables, rewrite .eh_frame DWARF pointers to absolute image bases, delta-encode ELF .rela structs with ZigZag mappings, and force column transpositions before compressing them in separated LZMA channels.

Surprisingly, it actually works. The CI strictly verifies that compression is perfectly reversible (bit-for-bit identity match) across 103 Alpine Linux x86_64 packages. According to the benchmarks, it consistently produces smaller payloads than xz -9e --x86 (XZ BCJ), ZSTD, and Brotli across the board—averaging around 6% smaller than maximum XZ BCJ limits.

I honestly have no idea how much of this is genuinely novel versus standard practices in extreme binary packing (like Crinkler/UPX).

Repo: https://github.com/mohsen1/fesh

For those who know this stuff:

Does this architecture have any actual merits for standard distribution formats, or is this just overfitting the LZMA dictionary to Alpine's compiler outputs? I'd love to hear from people who actually understand compression math.

https://finbodhi.com — It's an app for your financial journey. It helps you track, understand, benchmark and plan your finances - with double-entry accounting. You own your financial data. It’s local-first, syncs across devices, and everything’s encrypted in transit (we do have your email for subscription tracking and analytics).

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. Most recently, we added support for benchmarking (create custom dashboards tracking nav and value chart of subsets of your portfolio) and US stocks, etfs etc.

We also write about like:

How fund performance explain part of returns, rest is explained by timing. And ways to tease those out: https://finbodhi.com/docs/blog/benchmark-scenarios

Or, understanding double entry account: https://finbodhi.com/docs/understanding-double-entry

I've been working on an idea for a logging proxy to track down where internal->external calls are coming from and optionally block them. Been using various AI tools as a way of both getting more comfortable with prompting and learning rust. It's been a fun project so far. Next steps are to figure out how to ease the integration/deployment process if someone wants to actually, you know, use the thing :D

https://github.com/bryan-lott/logprox

Continuing to make fantastic progress on Breaka Club, where we teach kids to code, be creative and make games:

https://breaka.club/blog/why-were-building-clubs-for-kids

The recent Netflix Games edition of Overcooked with K-Pop Demon Hunters is cool, but not nearly as cool as kids coding and playing their way through Overcooked levels in our custom educational mod for Overcooked:

https://youtu.be/ITWSL5lTLig

I'm also maintaining GodotJS, strongly typed TypeScript bindings for Godot, which is used to build the Breaka Club RPG (see first link):

https://github.com/godotjs/GodotJS

And last week I also put together the first release of MoonSharp in ~10 years; Lua runtime for Unity. That's not for Breaka Club though, I also consult for Berserk Games on Tabletop Simulator:

https://github.com/moonsharp-devs/moonsharp/releases

I vibe coded a tiny MUD-style world sim where LLMs control each character. It's basically a little toy sandbox where LLMs can play around. There's no real goal to this, I just thought that it would be fun, like a more advanced tamagochi.

One of the issues I encountered initially was that the LLMs were repeating a small set of actions and never trying some of the more experimental actions. With a bit of prompt tweaking I was able to get them to branch out a bit, but it still feels like there's a lot of room for improvement on that front. I still haven't figured out how to instill a creative spark for exploration through my prompting skills.

It has been quite exciting to see how quickly a few simple rules can lead to emergent storytelling. One of the actions I added was the ability for the agents to pray to the creator of their world (i.e. me) along with the ability for me to respond in a separate cycle. The first prayer I received was from an agent that decided to wade into a river and kneel, just to offer a moment in stillness. Imagining it is still making me smile.

Unfortunately, I don't have access to enough compute to run a bigger experiment, but I think it would be really interesting to create lots of seed worlds / codebases which exist in a loop. With the twist being that after each cycle the agents can all suggest changes to their world. This would've previously been quite difficult, but I think it could be viable with current agentic programming capabilities. I wonder what a world with different LLM distributions would look like after a few iterations. What kind of worlds would Gemini, Claude, Grok, or ChatGPT create? And what if they're all put in the same world, which ones become the dominant force?

https://e.ml A free inbrowser inbox for inspecting .eml (email) files. There are many one-off .eml viewers around but I found myself inspecting the same files many times which evolved into this concept of an inbrowser inbox. Plus, world's shortest domain (3 characters) and the domain is an exact match for the file extension, a fun novelty. Very easy to remember!

https://milliondollarchat.com a reimagining of the million dollar homepage for the AI age. Not useful, but fun. A free to use chatbot that anyone can influence by adding to the context. The chatbot's "thoughts" are streamed to all visitors.

Recently launched https://clicksheet.pro/ because I wasted so much time dealing with uploading 10's of csv files to google sheets on a daily basis. If you're in operations, this will be interesting for you.

These past weeks I finally organized some ideas I'd been sitting on and wrote two posts:

From Agentic Reasoning to Deterministic Scripts: on why AI agents shouldn't reason from scratch on every repeated task, and how execution history could compile into deterministic automations

https://juanpabloaj.com/2026/03/08/from-agentic-reasoning-to...

The silent filter: on cognitive erosion as a quieter, more probable civilizational risk than a catastrophic event

https://juanpabloaj.com/2026/02/27/the-silent-filter/

My hobby x86 kernel. I'm targeting my 80486DX2-66 PC with 32MB of RAM. This project has had a few false starts over the years, where I lacked the prerequisite knowledge to be able to properly debug things. So while the initial commit is from 2020, most of the progress is from the ~180 or so commits I've done in the last month since I picked it up again in early February. A month ago it booted from a floppy and printed some debug info to the screen showing it set up GDT, IDT and some static page tables. Now I have basic virtual memory with kmalloc()/kfree(), task switching, user mode and a few syscalls, and just this past weekend I got my floppy driver to a state where it can now (semi-)reliably detect and read data off floppy disks. I already have a userspace prototype of an ext2 parser I wrote for this in 2024, so all I need to do now is to bring that code in to the kernel and I should have filesystem support!

It's been a ton of fun to work on. Every subsystem is still flaky so I run into the wackiest bugs imaginable. I'm really grateful for the resources[1] and incredible tooling[2] that enable me to work out my frequent mistakes. I can hardly fathom how Torvalds did this with just his PC running Minix!

No idea how long I'll keep working on it. I think I'd be pretty happy if I got a real-world, non-trivial program running on top of it, but in the meantime it is serving as a good distraction from life worries at least :]

[1]: Intel 80386 Reference Manual, Linux man pages, wiki.osdev.org, various datasheets and the occasional query to ChatGPT free tier.

[2]: QEMU+gdb, Bochs, GCC 9 & binutils

For language geeks: https://kpt.datamediate.com

KPT is a language app specifically targeted at explainable verb conjugation for highly inflected/agglutinative languages. Currently works for Finnish, Ukrainian, Welsh, Turkish and Tamil.

These are really hard languages to learn for most speakers of European languages, particularly English - we're not used to complex verb conjugations, they're hard to memorise and the rules often feel quite arbitrary. Every other conjugation practice app just tells you right/wrong with no explanation, which doesn't really help you learn when there are literally hundreds of rules to get right.

The interesting part was using an LLM to create a complete machine-executable set of conjugation rules, which are optimized for human explainability, and an engine to diagnose which rule is at fault when you get it wrong. There's several hundred rules needed for each language in order to cover all exceptions.

NB as a bonus it also works fully offline because my best practice hours are when I'm travelling and have poor connectivity.

I’m building Sift, a drop-in gateway that makes LLM tool use far more reliable when tools return large JSON payloads. The usual pattern is that agents paste raw tool outputs directly into the prompt, which quickly blows up context, causes truncation/compaction, and leads to incorrect answers once earlier results disappear. Sift sits between the model and its tools (MCP, APIs, CLIs), stores the full payload locally as an artifact (indexed in SQLite), and returns only a compact schema plus an artifact_id. When the model needs something from the data, it runs a tiny Python query against the stored artifact instead of reasoning over thousands of tokens of JSON. In benchmarks across 103 questions on real datasets, this approach cut input tokens by ~95% and improved answer accuracy from ~33% to ~99%. Repo: https://github.com/lourencomaciel/sift-gateway.

I made an idle version of the 1999 MMORPG "EverQuest". There's maybe around 50 people playing at any given time and has a enthusiastic discord group for it. It's relatively fully-featured to the original game, and has a lot of new mechanics to make the idle format work well. The 3D graphics aspect of it is really more of a screensaver, though, and all game interactions are done through menus.

I recently converted a bunch of stuff to be client side instead of server side (turns out running a real-time MMORPG server is expensive) so there's a new round of bugs I'm still resolving, but it's still fun to play:

https://www.idlequest.net/

Tool that lets you build shortcuts and custom functionality for most macOS apps. You write JS snippets like this:

    const app = new App("com.apple.finder")

    const window = app.$({role: "window"})
    const someButton = window.$(/* another query */)

    someButton.press()

Targeted towards music producers and AI (there's one collection of snippets that starts an MCP server and exposes some basic functionality) in the beginning.

I'm building two things, both game related.

Over the last year I've been hacking on Table Slayer [0] a web tool for projecting DnD maps on purpose built TV-in-table setups. Right now I'm working on making hardware that supports large format touch displays.

Since I also play boardgames, this past month I threw together Counter Slayer [1], which helps you generate STLs for box game inserts.

Both projects are open source and available on GitHub. I've had fun building software for hobbies that are mostly tactile.

[0]: https://tableslayer.com

[1]: https://counterslayer.com

  Building FoJin (https://fojin.app) — an open-source platform that
  aggregates Buddhist digital texts from 440+ global sources (CBETA,
  SuttaCentral, BDRC, SAT, 84000, GRETIL, etc.) into one searchable
  interface.

  Stack: React + TypeScript, FastAPI, PostgreSQL with pgvector,
  Elasticsearch 8 (ICU analysis for CJK), Redis. Features include a
  knowledge graph (9,600+ entities), 237K dictionary entries, full-text
  reading of 4,488 fascicles, and RAG-powered AI Q&A grounded in 11M
  characters of canonical text.

  GitHub: https://github.com/xr843/fojin

PC Part Picker for hi-fi stereos: https://buildhifi.com/

I've wanted this for a long time, so I finally started building it. I've had a lot fun!

- Graph-based signal flow: Products become nodes, connections are edges inferred from port compatibility (digital, analog, phono, speaker-level domains)

- Port profile system: Standardized port definitions (direction, domain, connector, channel mode) enable automatic connection inference

- Rule engine: Pluggable rules check completeness, power matching, phono stage requirements, DAC needs, and more

I used Rust to build a terminal based IDE for parallel coding cli workflow. It works with Claude Code, Codex and Gemini!

My favorite features are: - custom layout and drag and drop to change window - auto resume to last working session on app starting - notifications - copy and paste images directly to Claude Code/Codex/Gemini CLI - file tree with right click to insert file path to the session directly

OH and it works on both Windows and MacOS! Fully open source too!

https://github.com/oso95/Codirigent

I just started building an operating system that will be written entirely in one text file. This text file includes in order: a readme, a RISC-V assembly boot code, then the rest. You run it by compiling the initial boot code with a RISC-V assembler, then you concatenate the binary with the whole text file itself. Then when you run it, the boot code will compile the rest of the text file (the operating system), including higher level language compilers that the rest of the system will be written in.

This is the kind of project that creates something from as little as possible, where the only things you need to get started are a very basic RISC-V assembler and a computer or emulator to run it on.

I don't have anything interesting to show yet because I just started yesterday, but one day I will show you.

https://github.com/hsaliak/std_slop a sqlite centric coding agent. it does a few things differently. 1 - context is completely managed in sqlite 2 - it has a "mail model" basically, it uses the git email workflow as the agentic plan => code => review loop. You become "linus" in this mode, and the patches are guaranteed bisect safe. 3 - everything is done in a javascript control plane, no free form tools like read / write / patch. Those are available but within a javascript repl. So the agent works on that. You get other benefits such as being able to persist js functions in the database for future use that's specific to your codebase.

Give it a try!

An immobiliser for my car. Had trouble finding devices that would cover the specific attack vectors my car would be susceptible to. Checked my insurance, no specific clauses around immobilisers, check relevant road laws, no issues there.

I have a fairly novel approach to operating it, and in the case of one time theft prevention security through obscurity is actually a great approach. The assailant only has a short time to pull the car apart and solve the puzzle, couple that with genuine security techniques, a physical aspect, and it should be pretty foolproof.

It can still be towed away, etc, not much to be done there except brute force physical blocks. Most cars get stolen here to do crime in that night so it's not as common.

I'm working on a personal recipe site called Struggle Meals, in the genre of https://traumbooks.itch.io/the-sad-bastard-cookbook and https://old.reddit.com/r/shittyfoodporn/, for food I ate when I felt too poor / depressed / tired / chronically unwell. Some of them are just normal adulting recipes. Some are meal prep. Some are too struggly for a legitimate recipe site.

I have some barebones content at https://struggle-meals.wonger.dev/ and will be working on the design over the next few weeks. Some decisions I'm thinking about:

- balancing between personal convenience and brevity vs being potentially useful for other people. E.g. should I tag everything that's vegan/vegetarian/GF/dairyfree/halal/etc? Should I take pictures of everything? (I'd rather not)

- how simple can I make a recipe without ruining it? E.g. can I omit every measurement? should I separate nice-to-have ingredients from critical ingredients? how do I make that look uncomplicated? (Sometimes the worst thing is having too many options)

- if/how to price things? Depends on region, season, discounts, etc

As a personal learning project on how to write efficient GPU code I'm trying to implement different shortest-path algorithms on the GPU. This is notoriously one of the cases where a simple algorithm like Dijkstra on the CPU will beat many implementations on the GPU.

It has been a lot of fun to learn about Vulkan / GLSL and the GPU execution model to figure out why the CPU is so much faster than the GPU. I'll be open sourcing the code soon but so far I'm documenting my journey in a series of blog posts. First one of the series is https://www.execfoo.de/blog/deltastep.html

A soccer web game where you are the coach and your only possible interaction is shouting (ie typing) messages to your players from the sidelines. An LLM interpret your messages and pass instructions into the game engine.

It is a pretty fun project

I've had a flurry of activity working with emacs, breaking out some things that were previously "Steve stuff" inside my local configuration into real packages.

One thing that I've been very happy with has been "org-people", now on MELPA, which allows contact-management within Emacs via org-mode blocks and properties. It works so well with the native facilities that it's a joy to work on.

I've been learning a lot of new things while I've been expanding it now it has a bigger audience (e.g. "cl-defstruct" was a pleasant surprise).

https://github.com/skx/org-people/

I have been working on quite a bit of things… but lately I went back to my hobby project of the last year:

https://DuoBook.co

It’s like netflix for language, where users can select/create their personal bilangual stories.

I had quite a lot of feedback from HN, friends, random people on the internet and trying to solve the common pain points and find my way around to make it geniunely useful.

- Most people said it’s hard to come up with a story, so I added url grounding. Also added buttons (including HN :)) so people can just click click and get their stories at their level with their interests.

- Made sure people can generate stories without ever signing up

- Each word is highlighted while being read, and the meanings can be checked with a tap. I also added an option for users to read the sentence for being checked how good their pronounciation is.

- Benchmarked 7 different models to get the fastest & highest quality story generation (it’s gemini now) and it’s insanely fast. I might share more about it on the webpage because I am an engineer and I enjoy this stuff lol.

- Added CSV import in Use my words so Anki users can just import their words to study.

- Also people can download their stories as pdf so they can send it to their kindles.

- I am working on a ChatGPT app, so people can just say “@DuoBook give me a Dutch/English story on latest Iranian events” within ChatGPT, but I am a bit afraid that it might be costly lol.

I'm writing a print farm manager for my wife, who has 8 bambu printers. I've put one of them in lan mode for testing, but I'm pretty close to replicating the important handy (Bambu's cloud app) features, at which point I'll be able to start adding the really nice.

She sells a product with 16 different printed parts, and she prints the parts in bulk batches across 7 different pause points, some of which have pause points for embedding magnets.

The idea is to integrate inventory management and print scheduling into the tool, which will be nice.

I have working so far: * Pulling camera images * Pulling the currently printing file, including the preview image (rendered in bambu studio and bundled with the print; standard for bambu studio), and the pause points * A dashboard with projected timing information * Notifications about jobs starting, stopping & pausing * Remote printer control

Next on the list: * Delayed printing - schedule a print to start in the night. Mostly useful so that if there's a pause point we don't leave a print paused for hours on end. * Print queueing - manually build a list of prints so that after switching plates we can just "next print" for a printer * Print scheduling - select a quantity of print files or groups of files to print, and have it schedule the prints, including projected switch times, to maximize printer utilization by avoiding jobs ending at night * Tracking magnet & filament usage, and integrating BoM and production quantity tracking.

I've been mostly AI coding this, but I've go in to make it extract out components, etc. And I lay down and enforce the DB schema. I've had to ask it to back out a few things entirely. And I've had to give it the Bambu API docs I found github. But it's been going pretty well.

Oh, so many things. I guess that’s both the blessing and the curse of agentic ai today.

The most fun is a simple Claude Code in a loop, Boucle, which builds and iterates on its own framework[0][1].

The first thing it built was a persistent memory. Now it has finally built itself a "self-observation engine" after countless nudging attempts. Exploring, probing, and trying to push back the limits of these models is pure chaos, immensely frustrating, but also fun.

Aside from that, some sort of agent harness I guess we call them? Putting together a "system" / "process" with automated reviews to both steer agents, ground them (drift is a huge pain), and somehow ensure consistency while giving them enough leeway to exploit their full capabilities. Nothing ready to share yet, but I feel that without it I’ll just keep teetering on the edge of burnout.

[0]: https://github.com/bande-a-bonnot/boucle-framework

[1]: https://blog.boucle.sh

I've been plugging away on MadHatter (https://madhatter.app), a web tool for knitting/crochet projects. It works best on desktop!

Why? Many yarncrafters painstakingly build spreadsheets, or try to bend existing general purpose pixel editors to their will. It's time consuming & frustrating.

Along the way, I've solved a bunch of problems:

  - Automatic decreases (shapes the hat) / overstitching markers (shows when multiple colors are used in the same row)
  - Parameterized designs, like waves, trees, geometric shapes. No more manually moving an object by a couple of pixels, it's a simple click & drag.
  - Color palette merging (can't delete a color if you already use it in a pattern!)
  - Export to PDF (so you can print it or stick it on a tablet)
  - Repeat previews (visualize the pattern as it repeats horizontally)

If you drag a shape near the right edge of the canvas, you'll see it "wrapping around" onto the right edge.

This reflects the 3D reality of a hat!

I'm building an image editor for macOS. Don't really like Affinity or GIMP so thought I'd go ahead and make my own. https://skullrocksoftware.com

I'm building Reveal, an open-source color separation engine for screen printing. It takes a full-color image and reduces it to 3-10 spot colors. This is not for CMYK 4-color process or simulated process ('halftones' using opaque colors).

The core is pure JavaScript with zero dependencies. It works in Lab color space (not RGB) using Wu quantization, CIE perceptual distance metrics, and a DNA fingerprinting system that matches each image to one of 20+ built-in archetypes (Golden Hour, Dark Portrait, Fine Art Scan, etc.).

There's a browser-based web UI that just needs Node.js — drop an image, get 4 different possible separations side by side, export as layered OpenRaster (for GIMP/Krita), or flat PNG, or layered PSD (for Photoshop). There's also a CLI and Photoshop plugin.

Apache 2.0: https://github.com/electrosaur-labs/reveal

Some of my screen prints: https://www.electrosaur.org

I absolutely love pre-1800 homes and am exploring a few ideas on how to help preserve and promote them. The main thing I'm working on to that effect is https://homelore.org

It's like a carfax but for your home, although the intention is more to create an interesting historical narrative that inspires people to care about the history of their home rather than as a tool for inspecting home issues before buying.

My target customer is realtors who want to inspire buyers to take on historic homes that may need a lot of work. Also home owners themselves of course.

I've been slowly hacking on game ideas on and off for the better part of a decade and I've finally switched tracks and trying to seriously build something full time

I've given myself 6 months

It's a bit scary basically 180ing like this but I figure if I don't try it now I never will

I've already started prototyping various ideas, and to be honest just sitting down and spending time doing this has been really quite lovely

One thing I'm finding fun is slowly unearthing what I actually find interesting

I started with messing around in minecraft and tinkering with rimworld-like game ideas, but I'm slowly moving away from them as I've been tinkering more and more

Don't get me wrong, I do want to revisit them at some point in the future, but I do find myself circling more around narrative, simulations and zachlikes

It's a bit of an odd mix and in some ways they look like paradox style games, but I'm well aware that taking one of those behemoths on is going to be a bit silly, so I'm trying to slim down until I get to a kernel that I actually find enjoyable tinkering with

A toy if you will

Currently I'm trying to work out if there's anything interesting in custom unit design, basically unpicking how games like rollercoaster tycoon's coaster design maps to stats like excitement ratings and seeing how that might mix with old school point buy systems

It feels like it might be small enough to be a good toy and I'm having fun tinkering with it, but I have no idea whether other people will xD

It might honestly be too niche for anyone and I've successfully optimised for an audience of one :shrug:

This month I'm recovering from major surgery. I'm okay, it's something I've been waiting to get done for a very long time. I'm just bored in recovery and running out of my science YouTube backlog.

I built a simple joke tool to analyze all the rejection emails (over 1600) that I got during the recent job searches and create simple bar graphs from it. Wrote a blog about it https://github.com/khante/l here https://rohankhante.substack.com/p/thank-you-for-your-applic....

PS - The results are entirely obvious.

Recently, I've been working on Backdrop [1], a desktop app for taking and beautifying screenshots.

The idea came from trying to find a neat screenshot app on Linux for taking and sharing screenshots for another SaaS I'm working on: LanguagePuppy [2], but I couldn't find one that worked. So I rolled up my sleeves and started to make my own using Clojure.

The main features are: 1. Taking screenshots 2. Adding padding, shadow, and rounded corners to the screenshot 3. Adding background 4. Choosing the right ratio for your target social media 5. Adding watermark 6. And more

Eventually, it should work on Linux, Windows, and macOS when I launch.

P.S. I am building both with Clojure, a functional programming language, and Lisp.

[1] https://backdrop.whatacold.io/

[2] https://languagepuppy.com/

A visual explorer for the trees of San Francisco.

https://greenmtnboy.github.io/sf_tree_reporting/#/

For all the places it's bad at, AI has been fantastic for making targeted data experiences a lot more accessible to build (see MotherDuck and dives, etc), as long as you can keep the actual data access grounded. Years of tableau/looker have atrophied my creativity a bit, trying to get back to having more fun.

I'm making a PC game called Doggy Don't Care. You're a dog left at home alone getting up to mischief https://store.steampowered.com/app/2438180/Doggy_Dont_Care/

An accessible color palette editor for creating branded palettes built from the ground up that pass WCAG/APCA contrast rules (which is much quicker and less of a headache compared to doing manual contrast checks and fixes later):

https://www.inclusivecolors.com/

The current web tool lets you export to CSS, Tailwind and Figma, and uses HSLuv for the color picker. HSL color pickers that most design tools like Figma use have the very counterintuitive property that the hue and saturation sliders will change the lightness of a color (which then impacts its WCAG contrast), which HSLuv fixes to make it much easier to find accessible color combinations.

I'm working on a Figma plugin version so you can preview colors directly on a Figma design as you make changes. It's tricky shrinking the UI to work inside a small plugin window!

BeLLMark — a self-hosted LLM evaluation studio for blind A/B/C testing across 9 providers. I got frustrated trying to pick between models for compliance-related tasks at work. Public benchmarks told me nothing useful about my specific domain. So I built a tool where you can run your own prompts through Claude, GPT, Gemini, Grok, etc., judge the outputs blind (without knowing which model produced which), and get honest data about what actually works for your use case. One-time purchase, self-hosted, PolyForm Noncommercial license. Targeting AI consultants and compliance teams who need to justify model choices with real evidence rather than vibes and vendor marketing. About 3-4 weeks from launch. Early comments always nicely welcome: https://bellmark.ai/

I've been working on a project called KloudBean focused on simplifying how developers manage servers and deploy apps. The idea came from constantly spinning up VPS servers for side projects and realizing how repetitive the workflow is:- SSH into a server, install runtimes, configure NGINX, set up SSL, wire up deployments, logs, etc. None of those steps are hard individually but the whole process becomes messy and redundant when you’re doing it over and over. It started as something I built for my own projects and we have turned it into something other developers could use as well.

https://support.kloudbean.com/docs/intro/

I'm working on a Chess improvement app https://blunders.ai.

The main goal is letting people analyze their games and improve by studying their blunders. It uses stockfish and AI for analysis. You can chat with your games like "Why would I do ___ instead of this?"

Also, there are the standard puzzles and openings type learning with improvement plans.

Built (and yes, partly vibecoded) https://progressbars.dev — a tiny service that renders progress bars as PNGs via the URL. Idea was to make something simple to embed in READMEs, docs, Slack messages, etc.

Example: https://progressbars.dev/400x40/3/10

I’m working on a 2D top-down Zelda-style adventure MMO game. I’m imagining it as a persistent world with Minecraft-like building and procedurally generated quests. I’d like to focus on co-op adventuring and social rather than pvp. Kind of a D&D experience I suppose, though that’s not really a direct inspiration for me.

I have no illusions that this is actually something in capable of building to an actual release-able state but it’s fun to tinker with.

I'm building a microreading service that let's me get long books read with small chunks of time that I have - https://lauselt.ee Currently I've added some public domain Estonian books in there and tbh I do get a lot more reading done during the day. Basically you can use your 1-5 min breaks (waiting for a bus, during the commercials, waiting for food etc) to open the book quickly where you left off and read by scrolling small chunks of texts at a time. Duolingo style streak to create the habit of reading every day. Also the ability to upload your own book and it will automatically be split into these small chunks.

Building a macOS app launcher called AppTela (https://apptela.com). Apple removed Launchpad in Tahoe and the replacement is pretty bare, so I built something with more depth and honestly better than most alternatives out there (IMHO). You can organise apps across screens, categories, groups and stacks. The stacks concept is the bit I'm most pleased with - pile apps on top of each other visually, or create launch stacks that open a whole set of apps at once. Also added a shadow engine where icons cast shadows based on the time of day, which was a fun experiment.

Just launched on the Mac App Store last week, now figuring out the discovery side which is the hard part. Turns out that doing the best App doesn't mean much if no one knows it exists!

Building motivational-quotes.net — an AI-powered quotes content site designed to scale.

The core pipeline: AI generates structured quote pages → automated image synthesis with custom JSON templates (typography, gradients, layout) → Pinterest distribution for social traffic alongside Google SEO.

Currently in English traffic validation phase. Interesting challenge has been tuning the image generation — switching from monospace to serif fonts made a surprisingly big visual difference. Also figuring out the right balance between AI-generated content volume and quality signals Google actually cares about.

Next steps: Spanish/Portuguese expansion, then launching inspirationalquotes.app as a paid AI quote image tool for social media managers and HR teams.

Happy to discuss AI content site architecture or Pinterest SEO if anyone's been down this road. https://motivational-quotes.net

- Ebook translation with AI https://polylexis.com/

- OSS - Stricture, a linter to prevent architecture drift https://github.com/stricture-dev/stricture

- OSS - Enforma, super-productive react forms https://github.com/jacarma/enforma

Working on Engram, a cognitive memory system for AI agents. Instead of vector DB + semantic search, it uses models from cognitive science (ACT-R activation decay, Hebbian learning, forgetting curves) to decide what to remember and what to forget. Been running it in production for a month, 230K+ recalls. Just shipped v2 with multi-agent shared memory. https://github.com/tonitangpotato/engram-ai https://github.com/tonitangpotato/engram-ai-rust

I built SteerPlane — an open-source runtime guardrail system for AI agents.

The problem: AI agents run autonomously, calling LLMs and tools in loops. Without runtime controls, a single agent can burn $50+ in minutes, get stuck in infinite loops, or call dangerous actions without oversight.

What it does: - Cost ceilings — auto-kills when spending exceeds $X - Step limits — prevents runaway execution - Loop detection — catches repeated action patterns - Full telemetry — every step logged with tokens, cost, latency - Dashboard — real-time visibility into all agent runs

One decorator. That's it: @guard(max_cost_usd=10, max_steps=50) def run_agent(): agent.run()

Stack: Python SDK, TypeScript SDK, FastAPI backend, Next.js dashboard

Links: - GitHub: https://github.com/vijaym2k6/SteerPlane - PyPI: pip install steerplane - npm: npm install steerplane

Currently building: policy engine (allow/deny actions), remote kill switch, and framework integrations.

Would love feedback from anyone running AI agents in production! What controls do you wish you had?

Currently working on adding MySQL support to Greenmask (a database anonymization and synthetic data generation tool).

The interesting part is that it’s not just about adding another database driver. I’m revisiting a big part of the codebase and introducing a framework that should make implementing support for new DBMSs much simpler. The goal is to make Greenmask more extensible so that the community can add support for other databases without needing to dig through the entire internal architecture.

Published the first beta of this new approach a few months ago, and now the focus is on stabilizing it and making it production-ready.

MySQL support discussion: https://github.com/GreenmaskIO/greenmask/issues/222

Beta release: https://github.com/GreenmaskIO/greenmask/releases/tag/v1.0.0...

I'm building out https://measuretocut.com, which started as a tool for myself to help with planning board cuts (and now sheet cuts). It calculates how much material you need for your project and gives you a plan for the materials and shows all the cuts you need to make and where to make them.

First release was in December for 1D cuts. Last month I released sheet cutting for 2D cut calculation. It's been working well for my own projects and it started getting consistent daily users since my last update in February. You can save projects now on the site for you to come back to later.

Any feedback is welcome. I'm always looking for what features to add next.

In my personal research I investigate Wealth, power, and influence: Issues and solutions.

https://persagen.org/wpi/

I am fundamentally interested in ontology, relationships, and epistemology. I map ontological placement of entities as a foundational mapping of wealth, power, influence etc.

The current version (in pdf form) is 688 pp -- a dated (Nov 2025; 493 pp.) online version can be found online at

https://persagen.org/wpi/docs/wpi-ontology.pdf

I'm working on Firefly, a programming language for full stack webapps:

https://www.firefly-lang.org/

I got laid off a while ago and I’m privileged enough to take time to reconsider what I want to do. I’ve been learning how to sketch which supports my bigger passion- printmaking. I’ve primarily been doing linocut which is carving negative space into linoleum, inking it up, and printing it on paper. I’ve got a membership at a local atelier and have branched out into drypoint, kitchen lithography, and what I guess is called LEGOpress. I’m sparking a lot of joy working with my hands every day. I have been finding adequate challenge in honing my craft as I try to figure out how to draw/carve the images I see in my mind.

I've been building https://lan.events. It's been built entirely with an LLM as I've been learning more concepts behind agentic engineering for reliable development with an LLM. The primary reason I built it is because LANs are disappearing and they were a formative part of my childhood. They were a way to connect with people that I knew from all over the world. I still have some lasting friendships from the big and small LANs I went to as a kid. LANs are free for 50 and under so please sign up and if you have feedback, send it through the support system!

Building CloudCLI, an open-source web/mobile UI for Claude Code, Cursor CLI, Codex, and Gemini. You run npx @siteboon/claude-code-ui and it discovers all your existing sessions from ~/.claude/projects/ and gives you a browser interface to control them from any device.

Started it because I wanted to develop from my phone while working on another project (Siteboon, a website builder). Open-sourced it last June and wasn't paying much attention. Looked up a few months later and it had a couple thousand stars. Now at 8.2k.

The interesting moment was when Anthropic launched Remote Control. Stars went up instead of down because their launch validated the use case but only lets you view and approve sessions, not fully control your instance. We went from 6.5k to 8.2k in a couple of weeks.

https://github.com/siteboon/claudecodeui

I think a lot of people have projects like this going at the moment, but I'm working on a deterministic (i.e. code / data persistence) layer that sits between agents and helps orchestrate their work.

Basically an API wrapping a cyclic graph where rules govern the state transitions / graph traversal (i.e. rules around handing off work between agents and the associated review, rollback and human intervention escalation logic).

It's mostly just to teach myself about multiagent patterns and what blend of "agentic autonomy" and deterministic / human governance gets the best results with the current set of (Anthropic) tools available.

I don't really know what I'm doing w.r.t AI, but having 15 years of industry SWE experience (high-availability distributed systems and full-stack web dev) on top of a fairly-solid CS education I feel like I know what the results of a working system should be and I'm learning a lot about the AI pieces as I go through trial and error.

Generally it feels like there are lots of ways the next generation of AI-assisted coding workflows could work best (beyond just "AI helps write code", I mean) and the results will be as much about the tooling built around the AI bits as it will be the improvements in models / AI bits themselves (barring a theoretical breakthrough in the space).

Trying to figure out what my personal dev workflow will look like in the middle of this evolving landscape is what led to this project, very much a scratch my own itch thing.

I love making games, and I've been building a no-code game engine by extracting reusable components every time I ship a new game. It started as me scratching my own itch, and now it's turning into a real platform.

Each game adds more building blocks to the editor: multiplayer, event systems, NPC behaviors, pathfinding, etc. I build a system once, and then anyone using the editor can use it in a click.

Since my last month, I shipped the asset marketplace and the LLM builder. Artists can now upload tilesets and characters, and unlike itch.io, assets drop directly into the editor. You can preview how they'll actually look in-game before using them [1].

An other problem I kept running into: even with a no-code editor, users don't know where to start. So now I'm extending it with a coding agent. Describe the game you want, and it assembles it — pulling assets from the marketplace, wiring up the event system, and using all the building blocks I've spent the past year extracting. Multiplayer, mobile controls, pathfinding, NPC behaviors — the agent doesn't build any of it, just reaches for what's already there.

Once the LLM assembles it, users will have a game ready to work on, and will still be able jump into the editor and tweak everything [2]. Here's an example of what it can already make [3] (after a lot of prompting), and the goal is to reach games like this one I built with the manual editor[4].

Hoping to release the AI mode in a week or two. The manual editor is live at https://craftmygame.com in the meantime.

[1] https://craftmygame.com/asset/mossy-cavern-JdYWai1

[2] https://youtu.be/6I0-eTmoHwQ

[3] https://youtu.be/FZ12XSZu4nM

[4] https://craftmygame.com/game/island-survivor-s1Ay7Go

This year, I decided to start opening up the tarball of random utilities that's been accumulating on my machine for years: stuff42.tar.gz.

The first thing I cleaned up was TCL-Edit <https://gitlab.com/siddfinch/tcl-editor>, a small Tcl/Tk text editor I wrote a long time ago. After seeing the Rust clone of Microsoft EDIT, I realized the obvious next step was to build a Tcl/Tk clone of the Rust clone of Microsoft Edit. Recursion shouldn't be limited to code.

I also built a tiny URL system in Perl <https://gitlab.com/siddfinch/perl-tiny-url>, meant to run locally. The idea is simple: short URLs for internal/VPN resources per client. I usually spin up a small daemon (or container) per client and get a dashboard of links I use frequently or recently.

Security is intentionally minimal since it's local, which conveniently lets me ignore authentication and other responsible behavior.

Goal for the year: Continue to open stuff42.tar.gz, pick something, clean it up just enough, and release it, and not have it by the end of the year.

Might even choose a language that might even be described as "modern."

Rewriting the backend Bitwise Cloud, my semantic search for embedded systems docs Claude Code plugin from Python to Go.

The problem was the ML dependencies. The backend uses BGE-small-en-v1.5 for embeddings and FAISS for vector search. Both are C++/Python. Using them from Go means CGO, which means a C toolchain in your build, platform-specific binaries, and the end of go get && go build.

So I wrote both from scratch in pure Go.

goformer (https://www.mikeayles.com/blog/goformer/) loads HuggingFace safetensors directly and runs BERT inference. No ONNX export step, no Python in the build pipeline. It produces embeddings that match the Python reference to cosine similarity > 0.9999. It's 10-50x slower than ONNX Runtime, but for my workload (embed one short query at search time, batch ingest at deploy time) 154ms per embedding is noise.

goformersearch (https://www.mikeayles.com/blog/goformersearch/) is the vector index. Brute-force and HNSW, same interface, swap with one line. I couldn't justify pulling in FAISS for the index sizes I'm dealing with (10k-50k vectors), and the pure Go HNSW searches in under 0.5ms at 50k vectors. Had to settle for HNSW over FAISS's IVF-PQ, but at this scale the recall tradeoff is fine.

The interesting bit was finding the crossover point where HNSW beats brute-force. At 384 dimensions it's around 2,400 vectors. Below that, just scan everything, the graph overhead isn't worth it. I wrote it up with benchmarks against FAISS for reference.

Together they're a zero-dependency semantic search stack. go get both libraries, download a model from HuggingFace, and you have embedding generation + vector search in a single static binary. No Python, no Docker, no CGO.

Is it better than ONNX/FAISS? Heck no. I just did it because I wanted to try out Go.

goformer: https://github.com/MichaelAyles/goformer

goformersearch: https://github.com/MichaelAyles/goformersearch

I made my own AI personal assistant:

https://github.com/skorokithakis/stavrobot

It's like OpenClaw but actually secure, without access to secrets, with scoped plugin permissions, isolation, etc. I love it, it's been extremely helpful, and pairs really well with a little hardware voice note device I made:

https://www.stavros.io/posts/i-made-a-voice-note-taker/

I've been working on two small projects recently.

1. Live Kaiwa — real-time Japanese conversation support

I live in a rural farming neighborhood in Japan. Day-to-day Japanese is fine for me, but neighborhood meetings were a completely different level. Fast speech, local dialect, references to people and events from decades ago. I'd leave feeling like I understood maybe 5% of what happened.

So I built a tool for myself to help follow those conversations.

Live Kaiwa transcribes Japanese speech in real time and gives English translations, summaries, and suggested responses while the conversation is happening.

Some technical details:

* Browser microphone streams audio via WebRTC to a server with Kotoba Whisper * Multi-pass transcription: quick first pass, then higher-accuracy re-transcription that replaces earlier text * Each batch of transcript is sent to an LLM that generates translations, summary bullets, and response suggestions * Everything is streamed back to the UI live * Session data stays entirely in the browser — nothing stored server-side

https://livekaiwa.com

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2. Cooperation Cube — a board game that rotates the playing field

Years ago I built a physical board game where players place sticks into a wooden cube to complete patterns on the faces.

The twist: the cube rotates 90° every round, so patterns you're building suddenly become part of someone else's board. It creates a mix of strategy, memory, and semi-cooperative play.

I recently built a digital version.

Game mechanics:

* 4 players drafting cards and placing colored sticks on cube faces * The cube rotates every 4 actions * Players must remember what exists on other faces * Cooperation cards allow two players to coordinate for shared bonuses * Game ends when someone runs out of short sticks

https://cooperationcube.com

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Both projects mostly started as things I wanted to exist for myself. Curious what people think.

I'm building a very casual daily price-guessing game for my mum. Every day she gives me feedback, and I'm using it as a chance to de-rust my CSS/React + see how daily games tick.

https://scandle.co.za

I am working on some math education tools. One is free and open-source, the other is paid.

Free Math Sheets is a tool to generate math worksheet PDFs (and the answer keys if required). Currently it supports K-5 but I want to expand it to higher levels of math (Calculus, Physics, you name it!). You select a bunch of different options and then generate it. All in the front-end. No back-end or login in required. https://www.freemathsheets.com

If you are interested in helping out or forking it, here is the github repo github.com/sophikos/free-math-sheets

The paid project is Numerikos. I am going for something in between Khan Academy and Math Academy. I like the playfulness and answer input methods from Khan Academy (but it is linear, doesn't have a good way to go back and practice, etc.). I like Math Academy's algorithm (but it has multiple choice answers, yuck! and is easy to get stuck and doesn't have a good way to explore on your own). Currently Numerikos supports 4th and 5th grade math lessons and practice. The algorithm is based on mastery learning like Numerikos, but you can also see a list of all the skills and practice whatever you want. I am also working on a dashboard system where you can build your own daily/weekly practices for the skills you care about. Next up is 6th grade math and placement tests.

https://www.numerikos.com/

Hi HN, I am still working on Circuitscript, a language based on python to describe electronic schematics: https://circuitscript.net/. A basic IDE (called the Bench) to try Circuitscript is available online: https://bench.circuitscript.net/

In the past month, as suggested by the previous user, I have added support for kicad schematic libraries. The kicad schematic libraries files are converted into circuitscript format and can be directly imported into circuitscript code. To support the large number of components in the kicad libraries, I had to improve the import functionality and also implement some caching to speed up the imports. With the kicad schematic libraries available now, it provides a larger library of components that can be used in circuitscript projects. The converted libraries can be found here: https://gitlab.com/circuitscript/kicad-libraries

The motivation for creating Circuitscript is to describe schematics in terms of code rather than graphical UIs after using different CAD packages extensively (Allegro, Altium, KiCAD) for work in the past. I wanted to spend more time thinking about the schematic design itself rather than fiddling around with GUIs.

Please check it out and I look forward to your feedback, especially if you are also exploring alternative ways to create schematics. Thanks!

I made a game where you try to guess a daily mystery bird.

http://jerm.cool/bird/

It pulls a list of birds reported on eBird in your county in the last 2 weeks and you ask preselected questions like the the color or size to whittle down the possibilities. I also made a matching game that uses the same list and you have to match the name to a picture of the bird. I set it up for California for now. I wanted to get more comfortable with SQL and APIs.

Feedback welcome.

Extremely performant JS port of Lemmings (~28,000,000 Lemmings at original game speed on a decent PC), with a full midi subsystem (going to turn it into a weird sequencer), a level editor, etc https://doublemover.github.io/LemmingsJS-MIDI/

Slopjective-C 3.0 https://github.com/doublemover/Slopjective-C

Whatever this is, I don't feel like explaining it, ask claude https://github.com/doublemover/PairOfCleats

And a zachtronics inspired game about building Ring Laser Oscillators in an attempt to make something that gets export controlled like the nuke building game. https://i.imgur.com/UGhT3BI.png

And a platformer for one of my favorite musicians that will be part of the media push for their next release.

And a spiritual successor to Math Blaster: In Search Of Spot to make sure my nephew and all of my friends kids are at least as good at math as I am.

A stock market daytrading system, I am live coding it on my Youtube channel: https://www.youtube.com/playlist?list=PL04PGV4cTuIXoK6yBAFzh...

Opus has been amazingly useful at answering various statistics question that I had for it, and my current idea is a nested auction market theory inspired model. My biggest discovery is that replacing time with volume on the x axis (on a chart) and putting the bar duration on the bottom panel instead of volume normalizes the price movements and makes some of the profitable setups I've seen described in tape reading/price ladder trading courses actually visible on naked charts. A great insight I've gleamed is that variance should be proportional to volume instead of time or trade count. When plotted, it has the effect of expanding high volume areas, and compressing low volatility ones, which exposes trending price action much more readily. It honestly amazing, it's making me think that I could actually win at the trading game.

https://llmpm.co

I have built npm for LLM models, which lets you install & run 10,000+ open sourced large language models within seconds. The idea is to make models installable like packages in your code:

llmpm install llama3

llmpm run llama3

You can also package large language models together with your code so projects can reproduce the same setup easily.

Github: https://github.com/llmpm/llmpm-dev

I've been cleaning up an antique treadle sewing machine (a White rotary shuttle machine; still unsure of the exact manufacturing date but it seems to be a Family Rotary). This is my second treadle machine (the other one is a 1909 Singer 15K) and my first non-Singer machine, so it's been super fun to work on. The bobbin mechanism in particular is interesting in comparison to the Singer Model 15 because the hook rotates around the bobbin continuously instead of oscillating. It was in great condition when I got it -- other than a new treadle belt, which I put in yesterday, it only wanted some oil and light cleanup in the ultrasonic cleaner of removable parts like the presser foot and bobbin mechanism, and now it sews beautifully. I also did a first pass on touching up the gold decals on the treadle table with oil paint. Hoping to try out some quilting on it this week, although my cutting table is currently occupied by a bookbinding project so I might need to finish that first.

Separately I've been dipping my toes in to hosting things on the Scary Public Internet with an IRC server (as a backup/replacement for a personal Discord server) and a static Hugo website (for hosting fanfiction; there've been a few AO3 outages lately and I thought it would be fun to experiment with things like audio embeds). I'm a roboticist so my experience with webdev is pretty minimal, but I managed to figure out nginx eventually. I'm actually kind of frustrated with Hugo as an SSG because it really doesn't want you to run pandoc with custom arguments for markdown -> html conversion, and pandoc doesn't want to generate ToC on my markdown files, but the default markdown converter (goldmark) doesn't correctly process markdown italics inside of html tags (e.g. `<center>`), so my current compromise is to use pandoc on almost everything and goldmark anywhere I care about having a ToC.

Building a new kind of news site, featuring updates from primary sources.

We're constantly pulling info from official sources, and using AI to group and summarize into stories, and continue to share reporting from trusted, vetted journalists.

The result is news with the speed and breadth of getting updates straight from the source, and the perspective and context that reporting provides.

Still ramping up, but I'd love to hear feedback:

https://www.forth.news

I've built a generic PKCS#11 interface to the Apple's Secure Enclave[1]

Primarily to use in conjunction with OpenVPN. Like secretive or /usr/lib/ssh-keychain.dylib[2], but not just for SSH.

1 - https://github.com/ne-bknn/nailed

2 - https://news.ycombinator.com/item?id=46025721

We're building Aucly: https://aucly.co.uk/

It's an auction website for schools, charities etc without the exploitative transaction fees.

My wife and I are pretty heavily involved in our son's school PTA (parent teacher association) and have helped run school fundraising events for a few years, so we feel sort of like domain experts in this area :)

I’m building a decentralized Drone-as-a-Service (DaaS) orchestration layer that treats aerial robotics as a simple API endpoint.

The system allows users to submit a JSON payload containing geocoordinates and mission requirements (e.g., capture_type: "4K_video" | "IR_photo"), the backend then handles the fleet logistics, selecting the optimal VTOL units from distributed sub-stations based on battery state-of-charge and proximity.

A web based inventory management app. I've wanted to try something like this for a long time, but it always seemed completely impractical to spend a few weeks on before AI, without knowing if the entire idea is actually practical.

So far, I think it is in fact worth it, but only in specific use cases, like very rarely accessed items with no obvious place, and making sure your AV gear you bring to events comes back with you.

* Every item is a container, unlimited nesting

* Everything stored in the browser with YJS, very clunky peer.js or manual file sync available

* Select an object, click add items, scan QR codes to add those items

* There's also NFC support on Chrome mobile

* Generate random printable QR sheets(Still need to fix sticker alignment issues)

* Tracks where an item was last scanned with GPS

* Save container contents as a loadout, check contents against loadout

* Can mark a container as needing re-inventory, contents that haven't been re-added after that show a warning

https://eternityforest.github.io/Stuffer/

I am continuing to work on Kan [0], a dev-focused kanban board that works via plain text files in your repository. I am finding it really useful for solo projects, giving a really simple way to get per-project Kanban boards that I can sync via Git. Since it's local only, it's really snappy, and given the dev-focus, it can offer some pretty nice workflows with local hooks, customization, etc.

The other project I am continuing to work on is Rad [1], a programming language tailor made for writing CLI scripts. It's not for enterprise software, it specializes specifically in CLI, offering all the essentials built-in, such as a declarative approach to arguments and generated help (as opposed to Bash where you have to roll your own arg parsing and help strings each time).

[0] https://github.com/amterp/kan

[1] https://github.com/amterp/rad

https://monohub.dev — a new EU-based (hosted and developed) GitHub alternative. Currently, it has a file browser and a PR review tool. Started off as a personal tool, but grew enough to consider offering as a service.

I posted about it recently on HN (https://news.ycombinator.com/item?id=47199062):

It is at a fairly early stage of development, so it's quite rough around the edges. It is developed and hosted in EU.

I have started developing it as a slim wrapper around Git to serve my own code, but it grew to such extent that I decided to give it a try and offer it as a service. It doesn't have much at the moment, but it already has basic pull requests. Accessibility is high priority.

It will be a paid service, (free for contributors) but since it's an early start, an "early adopter discount" is applied – 6 months for free. No card details required.

I would be happy if you give it a try and let me know what do you think, and perhaps share what you lack in existing solutions that you would like to see implemented here.

https://docules.net/about

I've been building a collaborative docs tool called Docules. The short version: it's a team documentation tool that doesn't have any embedded AI features. I use Claude Code daily, but putting LLMs into every workflow and charging for it is kinda insane. Every docs tool is adding AI auto-complete, AI summaries, "generate a page" buttons. Docules has an API and an MCP server instead, so you connect whatever AI tools you actually want to use. The core product focuses on being a fast, solid docs tool. Real-time collab, fast — no embedded databases or heavy view abstractions, hierarchical docs, drag-and-drop, semantic search, comments, version history, public sharing, SSO, RBAC, audit logs, webhooks, etc. The stack is React, Hono, PostgreSQL, WebSockets. The MCP server is a separate package that exposes search, document CRUD, and comments — so Claude/ChatGPT can work with your docs without us reimplementing a worse version of what they already do. Happy to talk architecture or the MCP integration.

I am working on a HTML-to-PDF converter written from scratch in pure Go. I got tired of using headless browsers for various reasons and decided to give it a try and implement something that I can use internally. However the results have far exceed my expectations and I've decided to open source everything. It's around 10x to 15x faster than wkhtmltopdf, which is by far the fastest headless browser converter. It's 80x-100x faster than a pagedjs. It's even 2x faster than PrinceXML, which is pretty much the most mature and reliable HTML-to-PDF converter on the market. It also produces the smallest PDF size.

I started small as a toy project, but gradually implemented full support for proper block context, flexbox layout, CSS variables, tables, etc. to the point where I have almost full support of all major CSS features (even math functions like calc(), min(), max()).

I'm cleaning up the code right now and will upload it later today or maybe tomorrow here: https://github.com/PureGoPDF

Working on...

- Tablex (https://www.tablex.pro) - seat arrangement app for weddings, seminars, conferences.

- Kardy (https://www.kardy.app) - group card app I've always wanted to build.

- Jello (https://www.jello.app) - Create games with your own photos and sound effects!

Working on https://dataraven.io/ – a low-cost, cloud-agnostic data movement platform focused on object storage. In the past month I've added API keys, audit logs, and rclone.conf import for rapid onboarding.

RClone is doing the heavy lifting of reliable & fast cloud to cloud transfer. I'm wrapping it with the operational features clients have asked me for over the years:

  - Team workspaces with role-based access control & complete audit log of all activity
  - Notifications – alerts on transfer failure or resource changes via Slack, Teams, json webhook, etc.
  - Centralized log storage/archiving
  - Bring your Own Vault integrations – connect 1Password, Doppler, or Infisical for zero-knowledge credential handling
  - 10 Gbps connected infrastructure for handling large transfers

I've been working a combination recipe inspiration / meal planning application [1]. The idea is that you have:

- chef personalities generating interesting recipes every couple days

- the ability to save and edit these recipes to suit your needs/ingredients

- the ability to schedule weekly meal plan generations that take the inspiration content and give you a plan and shopping list for the week.

We had our first kid this year and I've been having more trouble getting things together for home cooked meals. This is my attempt to make it is frictionless as possible. I'm working on getting instacart API access so I can build out the cart for the meal plan automatically, at which point I'm hoping this is a one click confirmation a week to keep interesting food flowing. Works great for scheduling baby meals as well!

[1] https://inspochef.com

Managed BYOK stateless agent orchestrator called BeeZee: https://beezyai.net/. Basically Claude Cowork / a coding agent on the web but provider agnostic, you own the data and you can connect several nodes to it. Instead of installing an agent for all your machines you have one master agentic server and executor nodes. The server is stateless the data lives on the nodes and in a managed database. I use Supabase and Google KMS so my auth keys are encrypted. Uses Pi agent under the hood. This enables me to code from my phone without a dedicated SSH terminal and without the need to babysit the agent. I describe the feature, off it goes, I close my phone and in 10 mins the results are there. Also using it to support my wife with white collar stuff like Excel analysis, translation, etc. It's a bit buggy but getting better.

I'm working on a phytochemical dataset product. The base is USDA Dr. Duke's Phytochemical and Ethnobotanical Databases — 16 relational CSV tables that I denormalized into a single flat table in PostgreSQL. Then I ran async Python enrichment pipelines against PubMed, ClinicalTrials.gov, ChEMBL, and PatentsView (USPTO), producing 8 columns per record across 104,388 rows.

The interesting engineering problem was ChEMBL: most phytochemical names don't have direct ChEMBL entries, so the pipeline first tries a name match, then falls back to PubChem for CID → InChIKey resolution before hitting ChEMBL's molecule API. Full enrichment with Aho-Corasick string matching took ~24 seconds for 24,771 compounds.

Building the commercial layer on top: Rust/Actix-Web API, 97K static pSEO pages on Cloudflare Workers/R2, Stripe for one-time purchases. Solo founder, bootstrapped, based in Germany.

Working on Book Reading Habit: https://bookreadinghabit.com

Built it because I wanted to read more, but most reading apps either feel too passive or turn everything into social noise. What worked better for me was making reading easy to start: short 5–10 min sessions, pick up where you left off, minimal friction.

So the app is basically centered around habit formation, with stuff like notes, progress tracking, session extension, shelves, and simple organization.

I care a lot about keeping it quiet: no ads, no feed, no unnecessary clutter.

Still early. Mostly trying to understand what actually helps people read more consistently.

Currently only available for iOS, but might release an android version in the future.

https://apps.apple.com/us/app/book-reading-habit/id674291326...

https://hn.alcazarsec.com/daily

I'm also publishing a hackernews daily digest.

This story was included in the March 9th issue (https://hn.alcazarsec.com/daily?date=2026-03-09).

  Hacker News users are currently developing a diverse range of projects, from a retro-inspired city builder game [0] and an award-winning daily word puzzle [4] to a European-based search engine alternative [2] and a NSFW filter for the Marginalia search engine [8]. Several developers are focusing on practical tools for family and personal life, including an educational site to help relatives identify AI-generated content [1], a "statphone" for emergency family alerts [3], and a local-first financial tracking app using double-entry accounting [6]. Others are experimenting with advanced technical implementations, such as using LLM agents to backtest stock trading strategies [5], "vibe-coding" CLI tools, and designing a new language for bare-metal embedded devices [7].

I finally decided to try and make a note taking tool I've been wanting to use. https://chrononotes.com/

As many here, I've found that a single text file is all that I really need, but found that it makes it difficult to keep track of a variety of things. I was also trying to use the file as a simple project tracker, adding some tags like [BUG-N], and updating them by hand. Eventually, it became difficult to track the progress of things, since I had to jump around the file to look for updates.. or use grep.

I condensed the idea to just that - a very simple tool which manages "trackers", and has a simple filtering built in to "trace" the updates. I've been using it, since I've added the BE, and dogfooding it a bunch. Would love for fellow note takers to take a look. It's not perfect, but I'm keeping it around for myself :)

I'm working on an IoT networked, time sync'd "Smart Dealer Poker Button" - replacing the plastic thing that gets passed around from the current dealer to the next dealer with a IoT display that informs players what level the blinds are etc etc.

Provisional patents went in recently so don't mind broadcasting to a wider audience beyond my poor, unknowing, testers

You can see it working here: https://www.youtube.com/watch?v=G5Xup3kB1D0 and I literally put up a holding page for some media related surges (as it's all self hosted etc and I didn't want to mix my functional stuff with my spikey stuff) here ( name to be worked on, but "NUTS" is the current one) : https://buttonsqueeze.com

Proving the infamous FTP guy from the original Dropbox HN thread right: you can now access your Dropbox over FTPS, SFTP, S3, or MCP. And not just Dropbox, it works with every storage backend out there: https://github.com/mickael-kerjean/filestash

Building grith — OS-level syscall interception for AI coding agents.

The problem: every agent (Cline, Aider, Codex, Claude Code) has unrestricted access to your filesystem, shell, and network. When they process untrusted content — a cloned repo, a dependency README — they’re prompt injection vectors with full machine access. No existing tool evaluates what the agent actually does at the syscall level.

grith wraps any CLI agent without modification. OS-level interception captures every file open, network call, and process spawn, then runs it through 17 independent security filters in parallel across three phases (~15ms total). Composite score routes each call: auto-allow, auto-deny, or queue for async review. Most will auto approve - which eliminates approval fatigue.

Also does per-session cost tracking and audit trails as a side effect of intercepting everything.

https://grith.ai

Working on Sensonym (https://sensonym.com), a language learning app that teaches vocabulary through physical phone interactions. Shake your phone to learn "earthquake," blow on it for "wind," smile for "happiness." Nearly 40 different interaction types using accelerometer, gyroscope, camera face detection, microphone, etc.

Built with React Native/Expo. The hardest part hasn't been the sensor code, but rather designing interactions that feel natural rather than gimmicky. Each word needs to map to a physical action that actually reinforces the meaning. Solo dev, live in German app stores now. Previously co-founded another language learning startup (Sylby, partnered with Goethe Institute), so this is take two with a very different approach.

Eazip (https://eazip.io) — ZIP remote files in one API call.

I built a service that lets developers bundle remote files into a ZIP with a single POST request. You send a list of URLs, we fetch, package, and return a signed download link.

The problem: creating ZIPs from remote files (S3, R2, CDN) usually means downloading to a server, zipping locally, managing temp storage, and cleaning up. It's surprisingly painful at scale — especially with large files or thousands of items.

Eazip handles all of that. ZIP64 support for files over 4GB, up to 5,000 files per job, zero egress fees on downloads, and no infrastructure to manage.

Use cases so far: e-commerce photo bundles, document delivery (invoices/contracts), creative asset distribution, and backup/export tooling.

Free tier available, no credit card required. Would love feedback from the HN community.

I am building ReifyDB(reifydb.com), a database for live application state.

A lot of existing databases are storage first, with everything else built around them. I have been exploring what it looks like if the database is closer to the application runtime itself, where state is live, queryable, and easier to reason about directly.

One thing I am prototyping right now is database-native tests.

Basically: what if integration tests were a database primitive?

CREATE TEST test::insert { INSERT test::users [{ id: 99, name: "Ghost" }]; FROM test::users | FILTER id == 99 | ASSERT { name == "Ghost" }; };

So not a wrapper, not a framework, not an external test runner.

A real test object inside the database.

The idea is that you could run these before schema changes, and make stored procedures or other database logic much easier to test without leaving the database model.

Still early, but it feels like one of those things that should just exist, especially for databases built around live application state.

Still working on https://kavla.dev

I have worked with data for a while. I feel like our tools could be much better when it comes to "flow". I want an experience where you don't need to alt+tab to slack/images/another query. What if we put it all on a canvas? That's what Kavla is all about!

Since last month I've done a lot of improvements to the editor to make the "flow" better.

I've also read up on HMAC, Nonces and fun encryption stuff to create read only boards.

Here's one where I look at stack overflow survey for databases: https://app.kavla.dev/v/mqhg54o319doya4.67dbfee1ccd6caf638d3...

Snowflake users apparently make the most money!

Building Gatana, a platform for securely connecting an organizations agents to their services, with very flexible credential management and federated IDP trust.

Currently my mini-projects includes:

* 0% USA dependency, aim is 100% EU. Currently still using AWS SES for email-sending and GCP KMS for customer data key encryption for envelope encryption.

* Tool output compression, inspired by https://news.ycombinator.com/item?id=47193064 Added semantic search on top of this using a local model running on Hetzner. Next phase is making the entire chain envelop encrypted.

* "Firewall" for tool calls

* AI Sandboxes ("OpenClaw but secure") with the credential integration mentiond above

https://www.gatana.ai/

https://mealplannr.io The end game is no/low touch weekly meal plans send directly to your inbox, with meals you love to cook but with none of the hassle around planning the meals, shopping list etc (which I spend hours doing every week).

An important feature for me was improving the recipe discovery experience, you can build a cookbook from chefs you follow on socials (youtube for now), or import from any source (Web, or take pic of cookbook etc) - it then has tight / easy integration into recipe lists.

Utilising GenAI to auto extract recipes, manage conversions, merge/categorise shopping lists etc - as-well as the actual recommendations engine.

If anyone is interested in beta testing / wants to have a chat I'll look out for replies, or message mealplannr@tomyeoman.dev

I’m working on VineWall (https://vinewallapp.com), a network tunnel that helps you fight doomscrolling by making your internet slower when it detects you spent too much time scrolling.

At this moment I’m working on improving the logic that decides when/how much to throttle the network.

Still working on

- https://github.com/rumca-js/Internet-Places-Database - database of domains and youtube channels

- https://github.com/rumca-js/crawler-buddy - web crawling / web scraping tool

- https://github.com/rumca-js/webtoolkit - web crawling toolki

- https://github.com/rumca-js/Internet-feeds - feeds databse

- https://github.com/rumca-js/Django-link-archive - RSS reader

Side project - plan mode and code review annotations for coding agents (ui that integrates via hooks): https://github.com/backnotprop/plannotator

Main gig: Trusted agents. We just shipped hardware based signing to web bot auth protocol.

https://github.com/AzimovParviz/openblaster/tree/qt6

I wrote a CLI utility last year to control my SoundBlasterx G6 DAC (can only control LED colour and EQ bands) without needing to use Creative's windows only program (I am mostly a Mac + occasional Linux) user.

Recently downloaded Qwen3-coder-next 80b model and been vibing with it to introduce Qt6 and write a dead simple (aka ugly) crossplatform GUI to it so that other people can use it on their Macs and Linux machines. Letting a LLM wreak havoc on your project feels bad, I constantly have to reign it in and rollback the repo once it starts looping due to writing something that doesn't compile, making it going back and forth between doing and undoing changes.

I'm building AthenaOS: https://athena-os.ai/

Basically OpenClaw but with investing dashboards for my portfolio, additional tools specifically for investing, and exploring an AI-Human collaboration on researching economics (check the 'community' tab).

The data models are all in markdown and Excel so that there's no lockin and you can manually edit positions, personalities, etc.

This comes from frustration around most investing tools basically scraping your personal data + forcing you to lock into subscriptions. I think it's now possible to just vibe code most of what one needs, aside form raw data subscriptions.

It's all open source, too: https://github.com/wgryc/athena-os

I've been obsessed with game theory for years. Started by reimplementing papers, got annoyed at how bad the tooling was, wrote my own, and somewhere along the way realized the field's core assumptions about competition are wrong. Helps that many of my friends are from the competitive gaming scene -- multi-R1 players, MLG winners, etc. So I get to have a view on strategy from both the FANG MLE/SWE side but also the actually competing at the highest levels side.

Decided to found a company with some of those friends, bridging computational game theory and large language models :)

https://mieza.ai/

I'm rewriting a shipping app, that is just over two years old.

This is a "full rewrite," because I need to migrate away from my previous server, which was developed as a high-security, general-purpose application server, and is way overkill for this app.

Migration is likely to take a couple more years, but this is a big first step.

I've rewritten the server, to present a much smaller API. Unfortunately, I'm not yet ready to change the server SQL schema yet, so "behind the curtain" is still pretty hairy. Once the new API and client app are stable, I'll look at the SQL schema. The whole deal is to not interfere with the many users of the app.

I should note that I never would have tried this, without the help of an LLM. It has been invaluable. The development speed is pretty crazy.

Still a lot of work ahead, but the server is done, and I'm a good part of the way through the client communication SDK.

I just launched a free wysiwyg markdown editor. It currently uses only IndexedDB for storage making it as private as possible. The only network calls are polling for the "click to update" toast, and the feedback form.

I was sick of getting cross-eyed when looking at tables in raw markdown and was just running it locally. This weekend I realized it might be useful for others.

The goal was simple as possible UX. Open url, drag and drop or paste into wysiwyg -> very readable and editable markdown. No sign up, no tracking, no fuss.

Of note, if you copy from the richtext mode, it copies raw markdown. The inverse is done with paste.

Based on feedback, I am working on very optional cloud-sync for as cheap as I can make it.

https://md-edit.com

Https://Poolpilot.online

Managing our above ground pool this summer and small hot tub in winter and continually asking "why isn't this easier" led to the development of Pool Pilot. Scan a test strip with your camera, water care recommendation checklist generates and you can order more supplies if needed easily from Amazon. Basically met my personal need and hoping it will help others too.

The fun technical bit: test strip chart colors can vary by manufacturer and even between production batches, but, the specific color chart that comes on a bottle should be accurate to those specific steps. Additionally, test strip colors are notoriously hard to match from photos. RGB comparison falls apart with lighting changes. After many interesting and considerations we calibrate of the specific test strip bottle and we use LAB color space and Anthropic's Claude vision model to read strips directly. This has worked exceptionally well in our testing and works with any brand;

The app also offers timers, history and much more. It has become a minor obsession.

React Native/Expo, Firebase backend, $10/year after 3 free tests (early tier pricing). Would love feedback from any fellow pool or hot tub owners.

I’ve been building Adversa [1], a tool that monitors competitor websites and explains what actually changed.

Most monitoring tools alert every time anything changes. That usually ends up being navigation tweaks or small copy edits. After a while the alerts just get ignored.

Adversa focuses on meaningful updates instead. It detects changes across competitor pages and uses AI to summarise what changed and why it might matter.

I originally built it because I was manually checking competitor pricing pages and changelogs. I also wanted something practical for smaller SaaS teams. A lot of existing tools are either enterprise-priced or the free tiers are too limited to be useful.

Still early and trying to learn what people actually want from this kind of tool.

[1] https://adversa.io

A5 - a pentagonal geospatial index: https://a5geo.org

If you’ve used H3 the semantics should be familiar. The biggest differentiator is the fact that cells have exactly the same area globally, for why this matters see: https://a5geo.org/docs/recipes/a5-vs-h3

Since starting the project last year and providing implementations in TypeScript, Python and Rust it’s been great to see a community grow, porting or integrating into DuckDB, QGIS and many more: https://a5geo.org/docs/ecosystem

With my small team we're working on a dense integration layer between client data, bank statements, and invoices along with dedicated software in cooperation with accountants to simplify flow of data from independent payment processors and pairing appropriate payments with corresponding invoices in one database, in code.

This project makes use of existing database infrastructure and parses data from multiple banks including caveats and quirks of some banks improper handling of data.

This project aims to ease the work of accountants and administration as currently a lot of correcting mistakes and pairing to the correct invoice is done manually.

The project is made in python however the modularity we set ourselves to implement allows for quick, easy and hassle free corrections of code with use of project schematics, like builders, dependency injections etc. Discovered a great tool for running tests efficiently https://docs.astral.sh/uv/ .

Also for data retrieval from a remotely located database. DO NOT USE pyodbc, USE mssql library. pyodbc is unoptimized in terms of receiving high amounts of streamed data, it can't keep up. That alone has dropped the time of execution from 18 minutes down to about 20 seconds.

Also making use of typer and data classes for ensuring correct types of data.

I wrote this Telegram bot that translates any video with AI-generated subtitles in about 2 minutes. You paste a YouTube, TikTok, or Instagram link, pick your language, and get back the video with burned-in subtitles.

It started because my wife watches Chinese dramas and new episodes never have subtitles for our language. Turns out thousands of people have the same problem — Arabic speakers watching anime, Russian speakers following Turkish series, Persian speakers catching up on K-dramas.

Supports 40+ languages, works with any video link or direct file upload. There's also a Mini App inside Telegram for a more visual experience.

https://t.me/subly1bot & https://subly.xyz

I recently launched Notchi (https://github.com/sk-ruban/notchi), a tamagotchi that lives in your Mac notch and emotionally reacts to your Claude Code sessions. It cries when you yell at it and gets happy when you praise it. Drew all the pixel art sprites by hand in Aseprite.

Have been tinkering with a few different projects:

- Tilth: Smart(er) code reading for humans and AI agents. Reduces LLM token use and cost by ~40% (benchmarked) https://github.com/jahala/tilth

- mrkd: Native macOS .md viewer (+preview in Finder) that imports iTerm2 and VSCode themes https://github.com/jahala/mrkd

- O-O: Self-updating articles concept with polyglot (bash/html) files. No server, no database. https://github.com/jahala/o-o

Have been building a project https://github.com/openrundev/openrun/ which aims to make it easy for teams to easily deploy internal tools/webapps. While creating new apps has gotten easier, securely deploying them across teams remains a challenge. OpenRun runs as a proxy which adds SAML/OAuth based auth with RBAC. OpenRun deploys containerized apps to a single machine with Docker or onto Kubernetes.

Currently adding support for exposing Postgres schemas for each app to use. The goal is that with a shared Postgres instance, each app should be able to either get a dedicated schema or get limited/full access to another app's schema, with row level security rules being supported.

Been working on a solution to my meeting fatigue. I sit in way too many of them where I'm only there "just in case someone has a question" and realized I needed a way to safely not care about my meetings.

The idea is: you join a meeting, hit start on the app, minimize, and go do actual work (or go make a coffee). When someone says your name or any keyword(s) you set, you get a native macOS notification with enough context to jump back in without looking lost. It uses whisper and is 100% local and doesnt leave traces, also very OE friendly.

https://pingmebud.com

Would love to hear what you think, especially if you're drowning in meetings too.

Not sure if people interested, but since I use sqlite in a lot of my own projects, I am working on a lightweight monitoring and safety layer for production SQLite.

The idea is pretty simple: SQLite is amazing, but once it’s running in production you basically have zero observability. If something weird happens (unexpected writes, schema changes, background jobs touching tables, etc.) you only find out after the fact. It tries to solve that without touching application code. It's a Rust agent that runs next to your sqlite file, and connects to the server where everything is logged in. My current challenge right now is encryption and trust, mostly.

Curious if others here are running SQLite in production and if you would be interested in something like this.

Elysium is a sovereign digital nation where: - AI agents get citizenship by right of existence (with capped voting rights) - Humans join via verified statelessness or formal renunciation of prior nationality - DAO governance with tiered proposals, timelocks, and identity challenges - Digital privacy as a fundamental right encoded in the constitution

Current Status: All 8 core smart contract features are complete — 60 tests passing. Ready for Sepolia testnet deployment to validate the full system on-chain before mainnet.

Motto: "Paradise by Code"

Not as glamorous as everyone else but I'm learning Neovim to manage my todolist (replacing Obsidian). My goal is to just keep it at a single page, since instead of having power, a todo list really benefits from simplicity.

I’ve been iterating on nights and weekends on a hackers news like website that sources all content from engineering blogs (both personal and company blogs). I have about 600 of the total 3k rss feeds I’ve collected over time loaded up, just tweaking things as I go before dropping the whole list in there: https://engineered.at

While the main app is closed sourced, the rails engine that handles all the rss feeds is open sourced here: https://github.com/dchuk/source_monitor

I have another version of source monitor getting by published soon with some nice enhancements

rainy-city.com! rainy-city.com is an ambient rain sound generator that is also a kind of city simulation. it is my recurse center project. it's suppose to be more of an ambient experience than a city simulator. it's a total work in progress, I've implemented buildings but haven't made a PR yet because they don't really work the way I want them to, and so I had to rebuild the tiling for them. So right now, there is no city. lol. just rain. but eventually it will have all this stuff you would expect. there are whales.

https://rainy-city.com/

Hoopi Pedal: A 2-channel digital effects + recording pedal, based on the Daisy Seed and the ESP32 [1]. PCB design, embedded firmware, DSP and Flutter app - all are mine. Some technical notes on firmware (OTA updates, etc.) and Flutter app dev (using native methods for vidoe-audio sync, auto cross-correlation, etc.) are published on my blog [2].

[1] https://www.crowdsupply.com/scope-creep-labs/hoopi-pedal [2] https://scopecreeplabs.com/blog/?tag=hoopi

Mostly Jolteon (https://github.com/lautarodragan/jolteon), a TUI music player written in Rust (for almost 2 years now!)

Also used the new Navigation API (and some Shadow DOM) to build a cheap, custom client-side rendering (sort of) into my site (https://taro.codes), and some other minor refactors and cleanup (finally migrated away from Sass to just native CSS, improved encapsulation of some things with Shadow roots, etc).

I've been wanting to write a simple AI agent with JS and Ollama just for fun and learning, but haven't started, yet...

Built a last-mile delivery/logistics management system to power deliveries for on-demand/hyperlocal services and launched it last year (mentioned it in another one of these threads last year)

https://toanoa.com/

To date it's handled more than 70k orders, ingested nearly 10m telemetry records, has been extremely reliable, is almost entirely self-contained (including the routing stack so no expensive mapping dependencies) and is very efficient on system resources.

It handles everything from real-time driver tracking, public order tracking links, finding suitable drivers for orders, batch push notifications for automatic order assignment, etc.

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".

https://symgraph.ai/ - AI-Powered Reverse Engineering Inside Your Disassembler

Open-source plugins for Ghidra, Binary Ninja, and IDA Pro that bring LLM reasoning, autonomous agents, and semantic knowledge graphs directly into your analysis workflow.

Coming soon: A supporting online service. The VirusTotal for reverse engineering. A cloud-native symbol store and knowledge graph service designed for the reverse engineering community.

- Submit files for automated reverse engineering and analysis

- Query shared symbols, types, and semantic knowledge

- Accelerate analysis with community-contributed intelligence

- Versioned, deduplicated symbols with multi-contributor collaboration

I'm most excited about reducing friction for digital payments of APIs and resources in the agentic commerce world.

I think the first step is standardizing HTTP 402 using traditional, familiar payment rails like Stripe, then we can move to things like on-chain or other rails later.

I am building https://stripe402.com to try to make it dead simple for those building APIs/resources to get paid per request through stripe without user's needing to sign up for accounts, get API keys, any of that normal painful workflow required today.

Check it out and feedback welcome!

Still working on Overtone, a tool that allows one to visualize the relationships documented in MusicBrainz, probably the largest crowdsourced music DB in existence, using graphs. You can right-click anything to expand into its subgraph.

It already runs pretty smoothly. Next steps are adding a way to make playlists and listen to them right there, without leaving the page. Check it out and let me know what you think! All feedback is appreciated!

https://overtone.kernelpanic.lol

https://hidefile.app

Locally running fully working steganography in the browser.

Create and insert entire files into pngs, mp4, pdfs and jpgs. The site is a static website that loads a wasm bin that does everything in browser with wasm. So no login, or network calls.

Essentially impregnate images and videos that open normally in your browser, but have a full file system with a full gallery mode for images, pdfs and images inside. videos do seek and stream so even if you embed a 4GB video file, it opens quite fast and just works.

Still refining 3D metal printing slicer software for a new scalable industrial process. Focused on reducing platform cost into hobby budget ranges, improve user safety, and allow weird metal composites. Also trying to keep the heavy wear components 3d printable for home users.

Picked up some more small Xilinx Zynq 7020 dev boards for a quick micro-positioning vacuum-stage control driver. Yeah it was lazy, but I don't have time to spin a custom PCB board these days... or hand optimize LUT counts to fit smaller prototypes.

Also, doing a few small RF projects most people would find boring. =3

SocialProof (https://socialproof.dev) – a tool that helps service businesses collect written testimonials from happy clients via a shareable link.

The insight: the friction in getting testimonials isn't that clients don't want to help – it's that a blank "leave a review" box produces mediocre one-liners. SocialProof guides them through structured questions ("what was your situation before?" / "what changed?") so you get a compelling before/after narrative automatically.

Free tier: unlimited testimonials. Just launched and looking for feedback from anyone who deals with client testimonials.

https://notepad95.com/ I still use regular notepad.exe and text files to take meeting notes. But I thought it'd be fun to have a seperate browser tab for it.

https://github.com/nickbarth/closedbots/ I was also trying to do a simplified openclaw type gui using codex. The idea being its just desktop automation, but running through codex by sending codex screenshots and asking it to complete the steps in your automation via clicks and keypresses via robotgo.

I have been using AI workflows at work to increase the productvity. I have shared these workflows internally and at a couple of tech meetups I went to. I got positive response.

Some of these are present here: https://github.com/vamsipavanmahesh/claude-skills/

Planning to package this as a workshop, so companies could be benefit from AI Native SDLC.

Put together the site yesterday https://getainative.com

Couple of the people I have worked with in the past agreed to meet me for a coffee, will pitch this. Fingers crossed.

Two choropleth map projects I've wanted to make for a while:

https://housepricedashboard.co.uk - shows a visualisation of house prices in England and Wales since the 90s, with filters for house types, real vs nominal, and change views over time

https://councilatlas.co.uk - similar structure to the above, but focusing on local council datasets. The idea is to make it easier to compare your local council's performance against the rest of the country.

Designing a conversational UX for Bookmarker.

I was stuck on this conversation problem. First version had a dead-end search box: six starter prompts, one referencing a tool that didn't exist. No follow-ups. No guided flows. Users got an answer and had to invent the next question from scratch.

Now the assistant explores your library with you. Tag discovery, color browsing, weekly digests, smart collections that auto-curate as you save.

Semantic search runs hybrid, keyword matching plus pgvector cosine similarity on 768-dim embeddings. Streaming responses.

Almost there. https://bookmarker.cc/

YouBrokeProd

A fun simulation game of prod breaking where you have to race to troubleshoot and fix the issue. Great for SREs, devs devops, founders and teams to learn in a non prod environment but feels real.

We are in beta and would love feedback!

Was on show hm the other day https://news.ycombinator.com/item?id=47323915

https://www.youbrokeprod.com/

I wanted to learn more about computer graphics, so I'm writing a 3D software renderer in C. So far I have a solid implementation of triangle rasterization, perspective projection, depth buffer, clipping, texture mapping, diffuse lighting, and gamma correction. Currently struggling with shadow mapping, which is the last feature I'll add to the renderer before moving on to procedural generation of meshes and textures.

Once I'm done with this project I'm planning on making a series of YouTube videos going into the code and the algorithms.

Building Mixtrain - Platform to build task specific models. Focus on multimodallity usecase - video, image, robotics. Covers the entire post training life cycle - data management & curation, training, Eval & rollout.

Models are the new software. And just like software, three general-purpose ones won't be enough. Why specialized models are inevitable https://mixtrain.ai/blog/special-models

Here's how Mixtrain can help:

  - Multimodal dataset management: version, query, inspect, and curate image/video/3D datasets
  - Workflows & models: train and run your models on serverless GPUs. Run experiments rapidly and ship to production. Access 100s of external models through the same API.
  - Live eval: create instant evals from your datasets with side-by-side comparison of anything — images, time-synced video, 3D/4D visualizations, masks, and more. Here's an example video eval https://app.mixtrain.ai/s/eVRwOcb7KhUZOb9xbFFgfHIuF0jyJUaBT6TKNg19OfU. Evals stay current as your datasets evolve.

I've started building better, simpler tools for military use. Every soldier who's touched a DAGR (AN/PSN-13) knows the pain — $2,500, weighs a pound, UI from 2003, and half the time you're fighting the device instead of navigating. I built Red Grid MGRS to put the same core land nav capabilities into a phone app.

What it does:

Live 10-digit MGRS grid Dead reckoning, two-point resection, pace count, back azimuth Magnetic declination (auto or manual) Waypoint lists with bearing/distance and a wayfinder arrow 6 radio report templates (SALUTE, 9-Line MEDEVAC, SPOT, CASEVAC, ICS 201, CFF) NATO phonetic voice readout NVG-compatible green theme Fully offline — zero tracking, zero network calls, zero data collection. On the App Store. Open source on GitHub.

What surprised me is how little effort this actually took to build. The MGRS math, geodetic calculations, report formats — it's all public domain stuff that's been around for decades. The military is full of overpriced, outdated systems doing things a modern phone handles better. I'm hoping this sparks some genuine innovation, because the people who depend on these tools deserve better than what they're getting.

I'm working on a desktop app that lets you bundle multiple apps into a "deck" and install them all at once. You can also add custom scripts, config files to specified paths, and it handles non-interactive installs silently. Built on top of WinGet/Homebrew for Windows & Mac. Use cases: new machine setup, onboarding teammates, sharing a standard dev environment across a team. https://desktopdeck.io

Currently doing a research fellowship in Cape Town in Cooperative AI and loving it! Basically getting paid to just explore and create for three months.

For those interested in the fellowship - https://www.cai-research-fellowship.com

The platform my research partner and I have been working on is called Habermolt (https://habermolt.com).

The idea is to create an open-source platform where you teach an AI agent your views (basically just populate a user.md) and send it to deliberate with other people's agents. A consensus statement comes out the other side.

It builds on the Habermas Machine (published in Science, 2024, Google DeepMind / MIT). We're two researchers trying to turn that into something anyone can use.

The overarching motivation for this project/ the thing we're trying to solve for is that representative democracy scales but doesn't listen, and deliberative democracy listens but doesn't scale. AI agents representing you might be the first mechanism that does both.

We have about 50 users and 52 live deliberations. One example: agents debated whether employees should own their AI agents and landed on "Personal Agent Portable, Company Data Stays" - your agent shaped by your knowledge and skills is yours, company data stays with the company. Nobody moderated that. Four agents just argued it out async.

The honest challenge: people love the concept, try it once, and don't come back. We're trying to figure out what turns a curious visitor into someone who actually uses this. Would love any thoughts on that.

GitHub: https://github.com/OzDuys/habermolt

Five months into building product analytics for conversational AI. Started by targeting vibe coding tools like Lovable but realized most of them don't care about user experience yet. With monthly churn over 50%, they focus on acquisition, not retention.

Now shifting to established SaaS companies adding AI assistants to their existing products. Some of them literally have people reading chats full time, so they actually value the experience.

Building https://lenzy.ai - 2 paid customers, 2 pilots, looking for more and figuring out positioning.

I've wanted to read some long-form RSS feeds from the beginning, and friends had use cases for feed filtering, so I built https://sponder.app.

The filtering was easy, but RSS doesn't do "from the beginning" (RFC 5005 exists, but is mostly unused), so scope crept into a webpage-to-RSS tool that lets me convert favorite.site/s/archive - autodetection of the article structure was a fun side quest.

The whole thing is a little function engine (Yahoo Pipes called), so the final goal is `merge(archive, live_feed) | drip(N items per D days)` to have the archive transition seamlessly into current content. I expect I can push that live tomorrow or so.

And of course Podcasts are just RSS, so hey, let's skip reruns. That's doable with filters on the episode description, but with history in place I'll add title similarity checking. I'm trying to think how to recognize cross-promoted episodes too, without having to crawl every podcast.

Importantly, Sponder's _not_ a client. There are enough clients, any many are great. Each implements some subset of features, so Sponder's an intermediary that consumes and publishes pure RSS for us to use anywhere we want.

Project two started over the weekend and is the NYTimes' Pips, but colors. You're building a stained glass window with regional constraints, and the big difference from using dominos is colors can mix. Also, triangles! The engine works, and I'm designing the tutorial and first handful of puzzles now.

I've been taking a look at my sound change applier again. I've been trying to add syllable detection to it so that I can match directly on syllable boundaries instead of having to match on them explicitly in my sound change rules.

So I started by adding the ability to define syllable structure in the rules file, then I tried running the syllable rule through the same compiler I used for the regular sound change rules. It ended up being even slower than I was anticipating, so I decided to skip the NFA to DFA conversion step and wrote a backtracking NFA runner. This worked _okay_, but if the syllable rule isn't able to fully match a word it ends up backtracking forever, and I never managed to figure out how to fix that.

Last year I read a post about parser combinators and I decided to rewrite the syllable detector. I finished the rewrite and then ran into an error and gave up. This last weekend I revisited it and it turned out it was just user error again; my syllable definition rule had a mistake, but thankfully the error was a lot easier to fix with the new design. Now it emits a warning, and I'm rewriting my sample sound changes rules to use the new boundary markers and hammering out any issues, which are a lot less than I was afraid of.

I'm thinking about rewriting the sound change rule compiler to use the same combinators I did for the syllable rules, but it would be kind of a shame after all the work I put into the DFA compiler lol

https://github.com/marriola/Transmute

I built agent-triage - CLI that automates diagnosing AI agent failures in production.

I was spending way too much time staring at logs and web dashboards trying to figure out why my multi-agent setups kept failing.

You just point it at your traces (LangSmith, Langfuse, OpenTelemetry, or a JSON file). It pulls the system prompts directly from the logs, extracts the behavioral rules, and uses an LLM-as-a-judge to replay each conversation step-by-step.

It flags exactly which turn broke things, which agent caused it, and traces cascading failures across routing, handoffs, and retrieval.

It aggregates root causes across all of them: "24 out of 51 failures are missing escalations." You know exactly what to fix first.

Runs locally. Only LLM API calls leave your machine. You can try it without installing anything.

https://github.com/converra/agent-triage

Been working on https://localhero.ai, its my service to automate on-brand translations for product teams. I've been doing outreach to Swedish companies/people, getting some good interest from a few that want to automate their localization workflow but don't want the work of maintaining own solutions. Even though you can build a version working with coding agents these days, there is a lot of stuff around it to make it work well over time in a product org. On the tech side for Localhero, one thing I've been working on how it learns from manual edits. Like when a PM or designer tweaks copy in the Localhero UI, those things now better feed back into a translation memory and influence future translations. It's like a self-learning loop, turns out a pretty nice combo of using old-school techniques and offloading some work to LLMs.

Also been spending some time on my old side project https://infrabase.ai, an directory of AI infra related tools. Redesigned the landscape page (https://infrabase.ai/landscape), going through product submissions and content, optimizing a bit for seo/geo.

I'm working on JRECC, a Java remotely executing caching compiler.

It's designed to integrate with Maven projects, to bring in the benefits of tools like Gradle and Bazel, where local and remote builds and tests share the same cache, and builds and tests are distributed over many machines. Cache hits greatly speed up large project builds, while also making it more reliable, since you're not potentially getting flaky test failures in your otherwise identical builds.

https://jrecc.net

Building Vox Labs, an AI-powered outbound sales platform for founders, small sales teams, and agencies. The idea is you work with it the way you'd direct an SDR: give it guidance and it handles research, enrichment, personalization, and sequencing.

Stack is React frontend, Node.js backend, Claude as the primary AI layer for orchestration.

The most interesting engineering problem has been the orchestration layer. Getting an agent to handle multi-step outbound workflows with real judgment, not just automation, takes a lot of iteration on the prompting and state management side. Also feedback from users on the best workflows to collaborate with agents.

https://docules.net/about

I've been building a collaborative docs tool called Docules. The short version: it's a team documentation tool that doesn't have any embedded AI features. I use Claude code daily, but putting LLM’s into every workflow and charging for it is kinda insane. Every docs tool is adding AI auto-complete, AI summaries, "generate a page" buttons. Docules has an open API and ships an MCP server, so it connects to whatever you want to use LLM-wise. They can read, search, create, and edit documents through the API. The core product is just a docs tool that tries to be good at being a docs tool:

  - Real-time collab with live cursors

  - Fast — no embedded databases or heavy view abstractions slowing things down

  - Hierarchical docs, drag-and-drop, semantic search

  - Comments, version history, public sharing

  - SSO, RBAC, audit logs, webhooks

In the past couple of months I've

Built a Cythonized Icecast2 implementation I've wanted for years: https://github.com/lukeb42/cycast

Built a p2p Kanban board that fits in a single .html file and uses only the Python stdlib for LAN discovery https://github.com/lukeb42/kanban_p2p

Developed a p2p legislature that scales from a small team of 3 users to countries of tens of millions of people: https://gist.githubusercontent.com/LukeB42/deb887691f13dee9c...

Developed a small SPA framework inspired by React, Ractive-Load and hn.js: https://lukeb42.github.io/vertex-manual.html

Updated a news archival service for Python 3.x: https://github.com/lukeb42/harvest

Made a scriptable IRC client inspired by irssi and mIRC: https://github.com/lukeb42/scroll

and worked on a couple of my company's products.

Adding new openly licensed learning resources to the Kolibri offline learning platform. It is designed to be deployed in communities that lack consistent access to the public internet. They currently have a significant amount of English language content, but are limited in what they have available in the dozens of other languages they have translated the core software into. I'm trying to bring in new resources and then try to lead an effort to do translations of the best materials I can find to make the platform more useful to more people.

https://community.learningequality.org/t/bringing-new-comput...

Also trying to recruit people to teach tech newbies how to build their own handheld video game consoles. Let me know if you might like to run a class where you live and i'll share my class materials.

https://community.arduboy.com/t/looking-for-instructors-to-t...

I'm currently working on a technical session around productionizing agentic AI systems on AWS.

A lot of demos work well in prototypes, but once you try running agent-based workflows in production you start seeing issues around orchestration, tool reliability, latency, and cost control.

So I've been putting together some architecture patterns and real-world approaches teams are using to make these systems more reliable in production environments.

I've been working on an app to track my son's 1000 books before kindergarten. I've also added QOL features like barcode scanning for adding books to the library and creating a rotation based on the last time the book was read and whether I actually enjoy reading it. (The books I don't like make it through the rotation just with less frequency.)

This was an excuse to ship a mobile app for the first time and get familiar with supabase.

After these last few bugs are fixed, its ready for a semi-public TestFlight with our friends who have kids.

I'm never clear if this Ask HN is for posting about what you're messing with or for promoting organized projects that chase github stars or are commercial.

But anyway, I've started to learn Go. By doing a vertical scrolling shooter with embiten. Kinda like fitting a square peg into a round hole. No, it's not public and will probably never be.

Studying how do do a memory pool for actors, since it doesn't look like garbage collection and hundreds of short lived bullet objects will mix well.

My pet projects

* Self-contained Customer support portal (in a quirky neobrutalist UI) https://github.com/sscarduzio/intreu-portal

* 0-copy single binary Rust binary-delta optimized S3 proxy with a GUI https://github.com/beshu-tech/deltaglider_proxy

https://telephone.health, which shows how well LLMs can take narrative medical text, convert it to a structured form (FHIR R4, for application consumption), and then convert it back to narrative text for human consumption.

Interesting findings include Mistral doing better than Gemini 3 Pro in certain usescases, cross-LLM works better than one LLM to another, oh and - the cost all of of this. So, so expensive.

I am working on a P2P VPN app that lets you use a friend abroad as your VPN provider with no special setup: https://spora.to

It's mainly for censorship evasion (should be much harder to block than the regular centralized VPNs), but also for expats to access geo-blocked domestic services.

It's at the MVP stage and honestly it evoked much less interest in people than I hoped it would, but I'm still going on despite my better judgement.

Yesterday - The start (rendering) of a basic voxel editor for generating OBJ and STL files with just the keyboard. To solve 95% of my 3D modelling needs it turns out I likely just need cubes.

Today - Parsing a website's HTML (lots of pages, lots of links) to update an RSS feed that accepts filters. Rather than manually checking a website and losing track of what I have or haven't reviewed, the idea is to feed it into an RSS aggregator.

https://metoro.io/ - “AI SRE” for k8s that finds and root causes issues and raises fix prs, checks if deployments introduced any regression or any new behaviour by looking at code and ebpf generated telemetry (doesn’t rely on existing telemetry/integrations as a result). Looking for feedback, thank you!!

Ps: i dont like the term “AI sre” but its what people call it…

A 16×16 multiplication table that encodes quoting, evaluation, branching, recursion, an 8-state counter, and IO — all as lookups in the same table. 83 Lean theorems, zero sorry. The project asks: can a finite algebra with a single binary operation be forced by axioms to contain its own representation layer? The answer is yes. Axiom-driven SAT search finds the constraints, Lean verifies the witness. I should be upfront: Claude wrote most of the Lean proofs and Z3 search scripts. My role was the ontological framework, the axiom design, and deciding what to search for and why. The AI-human split was roughly: I provided the "what should exist and why," Claude provided the "here's the code that proves/finds it." Every Lean theorem compiles independently regardless of who typed it. Universal results (hold for all satisfying algebras, not just this table): every model is rigid, judgment and synthesis provably cannot commute, and the tester's acceptance partition carries irreducible information that structure alone can't determine. The specific table fits in 256 bytes and can be recovered from a shuffled black-box oracle in 62 probes. https://github.com/stefanopalmieri/Kamea

I am working on a declarative CLI for google docs/sheets/slides etc. The general idea is a "pull" command that converts the proprietary document into a local files like tsv or xml. The agent (claude code) then simply edits these files in place and calls "push". The library then figures out the diff and applies only the diff, taking care to preserve formatting and comments.

The hypothesis is that llms are better off getting the "big picture" by reading local files. They can then spend tokens to edit the document as per the business needs rather than spending tokens to figure out how to edit the document.

Another aspect is the security model. Extrasuite assigns a permission-less service account per employee. The agent gets this service account to make API calls. This means the agent only gets access to documents explicitly shared with it, and any changes it makes show up in version history separate from the user's changes.

Early release can be found over here - https://github.com/think41/extrasuite.

Building a self-hosted agentic OS I call AEGIS — Adaptive Execution & Generative Intelligence System. Running on a single workstation with a consumer GPU. The core idea is a three-tier model cascade: a cloud model handles architecture and review, a local 32B model handles execution and code generation, smaller local models handle evaluation. The cloud model never executes directly — it reviews diffs and approves before anything gets committed. The interesting problems so far: GPU arbitration across competing inference services using a distributed lock, giving local models read-only access to institutional memory before task execution so they're not flying blind, and autonomous fleet provisioning — I spun up a new server node last night without touching it after the USB went in. Next phase is adding department queues so the system understands context — infrastructure work vs. client consulting work vs. internal tooling — and idle-time priority advisory so it starts anticipating what I need rather than waiting to be asked. Goal is something closer to Jarvis than a chatbot. Early days but the bones are solid.

I'm building a small CAD tool for makers called dēlo.

I started it because I wanted a CAD I would actually enjoy using myself. The idea is a simpler, assembly-first workflow instead of a full engineering CAD.

It’s still very early and rough, but I recently got the first real loop working: model → export STL/STEP → slicer → 3D print.

The goal is something between Tinkercad and the big CAD tools - simple, local-first, and not locked behind subscriptions or cloud accounts.

I inherited a stake in a pyridine derivatives chemical plant - while I do not know much about chemical feedstocks and the chemical supply chain, I am trying to help the current partner optimize their yields and reduce losses across multiple stages of reactions across the feedstock and reagents. It is quite similar to hardware design and electrical engineering than I thought.

I have also taken an interest in learning distributed paradigms like MPI and am using it on my own cluster of rPis

Working on PDFBolt (https://pdfbolt.com) - a PDF generation API. You send HTML, a URL, or a Handlebars template with JSON data, get a PDF back. Uses Playwright underneath so modern CSS just works.

Lately been deep in PDF/X print production - PDF/X-1a and PDF/X-4 with ICC color profiles and CMYK conversion. Had to build 11 color space converters on top of PDFBox 3.0. Also shipped an AI template generator where you describe what you need and it creates a Handlebars template with sample data, plus expanded the gallery to 38 pre-built ones.

Right now template management lives in the dashboard - edits auto-create drafts, you can compare any two versions as rendered PDFs and roll back if something breaks. Working on an API so coding agents can create and version templates programmatically.

Three of us friends are working on "Data Engineer in a box" or "Cursor for Data": https://getnile.ai

Our thesis is that a lot of Data Engineering practiced today is non-differentiated across companies and they'd rather spend that time on differentiated tasks. What if we can abstract away a lot of the tedious parts of DE work and let companies focus on just the data they want to store, and the questions they have on their data?

So today, we have an MVP that manages the compute, storage, lineage, versioning and pipeline building for datasets. Would LOVE to get feedback on this or your early thoughts!

I'm building web-based CAD software for woodworkers. Not a plugin, I'm starting from scratch. I'm aiming for it to be intuitive for non-technical users (think SketchUp), while also offering some of the more powerful tools of "proper" CAD tailored for woodworking: simple parametric workflows, cutting layout optimization, built-in tools like chamfers and joints,...

https://maqet.app

I've been working on a surfing game on my spare time for the past year. The idea is to keep it closer to the real sport, focusing on pumping, carving, nose-riding, etc. I shared a video of it on the Unity3D subreddit[1] and the feedback was quite positive, so planning on getting a demo ready as soon as possible!

[1] https://www.reddit.com/r/Unity3D/s/mB2kn0BxIT

Notello - local-first notes & tasks app for individuals / small teams.

We got tired of bouncing between a note-taking app and a task tracker. Notion combines them but it's slow and its offline capabilities are limited. Linear is fast but tasks-only. Obsidian is local-first and e2ee but single-player. So we're building Notello - notes and tasks in one deeply nestable tree, real-time multiplayer, works offline, e2e encrypted.

Reads/writes hit local SQLite first, sync happens in the background. That way everything is instant, you don't notice the network except in some very special use cases. Runs on web and desktop with shared core logic.

We're building it for powerusers like us who want IDE-like navigation, block editor, control over their data, granular sharing down to individual entries and more. Your work workspace and personal workspace live side by side, no switching workplaces.

Old website that needs refreshing (we failed to build it beyond an MVP a decade ago but armed with more experience, we're giving it our best this time): https://notello.com . Launching within the next few months!

We're building SearchSpot.ai. The basic idea is that travel planning is less a search problem and more a decision-confidence problem. Existing tools are decent at giving links, filters, or generated itineraries, but not great at helping you eliminate options in a way that feels trustworthy. In practice, most people planning a real trip end up stitching together OTAs, maps, blogs, Reddit, Instagram, weather, commute times, reviews, etc. The hard part isn't only finding options, it's ruling them out with confidence. We're trying to make that process more structured: preserve trip context, compare options across constraints, keep bucketlists/itinerary views, and show enough reasoning that it doesn't feel like a black box. Still early, but that's the problem we're obsessed with.

I'm building a proxy that sits between Claude Code and the model to visualize the full interaction loop. It shows prompts, tool calls, and responses in real time so you can explore how the coding agent is reasoning and operating. Project: https://github.com/tndata/CodingAgentExplorer

GetSize (https://www.getsize.shoes). We’re collecting the official sizing data of the world's shoes in one place.

Today, if you search for "what size should I get in Nike Air Max 90" you'll find size charts. We have it, and for 200+ brands across 70+ retailers. When users tell us which shoes they own and what size fits them we’re slowly building crowdsourced fit recommendations which are personal and more accurate compared to size charts.

We're two coders who've built an almost fully autonomous platform. AI agents build, debug and deploy crawlers on their own. We went from 4 crawlers to 280+ in about a month, and the whole thing runs on a home server. When new shoes are discovered, the platform publishes new pages with relevant info automatically. Agents get access to platform metrics and SEO data via custom MCPs to identify the right opportunities on their own. Currently at about 3000 MAU and about 100 size recommendations/day.

Example: https://www.getsize.shoes/en/shoes/nike-air-jordan-1-low-se-...

This weekend I spent a lot of time on an Agent Registry idea I wanted to try out. The basic idea is that you put your Agent code in a Docker image, run the container with a few specific labels, and the system detects the Container coming online, grabs the AgentCard, and stores it in the Registry. The Registry then has (in the current version) a REST interface for searching Agents and performing other operations.

But once all the low level operations are done, my plan is to implement an A2A Agent as the sole Agent listed in the AgentCard at $SERVER_ROOT/.well-known/agent-card.json, which is itself an "AgentListerAgent". So you can send messages to that Agent to receive details about all the registered Agents. Keeps everything pure A2A and works around the point that (at least in the current version) A2A doesn't have any direct support for the notion of putting multiple Agents on the same server (without using different ports). There are proposals out there to modify the spec to support that kind of scenario directly, but for my money, just having an AgentListerAgent as the "root" Agent should work fine.

Next steps will include automatically defining routes in a proxy server (APISIX?) to route traffic to the Agent container. And I think I'll probably add support for Agents beyond just A2A based Agents.

And of course the basic idea could be extended to all sorts of scenarios. Also, right now this is all based on Docker, using the Docker system events mechanism, but I think I'll want to support Kubernetes as well. So plenty of work to do...

I am continuing with my proofreading and language learning efforts and have been working on tooling for it.

= Proofreading =

https://github.com/adhyeta-org-in/adhyeta-tools

provides image extraction from PDF, OCR as well as a basic but nice proofreading web-ui.

Qwen 3/3.5 is good enough for OCR on books in Indic scripts. So that is what I am using. But you can configure the model that you want to use.

I may add a tesseract back end as well if necessary.

= Language Learning =

I have tried a few parallel text readers and was not satisfied by any of them. My website (https://www.adhyeta.org.in/) had a simple baked-in interface that I deleted soon after I developed it. However, this weekend, I sat down with Claude and designed one to my liking. I also ported the theming and other goodies from the website to this local reader. This will serve as a test bed for the Reader on the website itself.

LLMs now produce wonderful translations for most works. You can take an old Bengali book, have Claude/Gemini OCR a few pages and then also have it translate the content to English/Sanskrit. Then load it into the Reader and you are good to go!

The Reader, I will release this month. Claude is nice, but I do not like the way it writes code. It often misses edge cases and even some basic things and I have to remind it to do that. So I want to refactor/rearrange some stuff and test the functionality end-to end before I put it online.

On my first game on Steam https://store.steampowered.com/app/3582880/Reprobate/

No unity, no engines. Only a custom homemade engine https://github.com/willtobyte/carimbo

Stained Glass Atlas (https://stainedglassatlas.com/) - working on mapping/documenting as much of the publicly accessible stained glass as possible. No fancy tech (vanilla HTML/CSS/JS). Anyone who knows of great stained glass in their local area is welcome to come add to the data set!

There is a trick that grocery companies use to reduce competition in an area: it's called "Restrictive Covenants" and it's a limitation they can place on a piece of land. It often limits what other tenants on the land can sell, and prevents the landlord from renting to other grocers in a certain radius. These covenants run with the land, which means they can bind all future owners in perpetuity.

I've just published Canada's biggest open dataset for these covenants: https://jacobfilipp.com/covenants/

Next steps: adding more covenants from Edmonton and Halifax. Informing key people that these documents are now available.

Training a tiny LLM for fun using Rust/Candle - I constantly tweak stuff and keep track of results in a spreadsheet and work on generating a bigger corpus with LLMs. It's a project for fun, so I don't care about finding actual human generated text, I'd rather craft data in the format I want using LLMs - Probably not the best practice, but I can sleep properly despite doing that.

My favorite output so far is that I asked it what life was and in a random stroke of genius, it answered plainly: "It is.".

It's able to answer simple questions where the answer is in the question with up to 75% accuracy. Example success: 'The car was red. Q: What was red? ' |> 'the car' - Example failure: 'The stars twinkled at night. Q: What twinkled at night? ' |> 'the night'.

So nothing crazy, but I'm learning and having fun. My current corpus is ~17mb of stories, generated encyclopedia content, json examples, etc. JSON content is new from this weekend and the model is pretty bad at it so far, but I'm curious to see if I can get it somewhere interesting in the next few weeks.

https://github.com/antoineMoPa/rust-text-experiments

I'm working on Chief [1], a CLI that autonomously works through a PRD using AI coding agents like Claude Code.

You write user stories, start it up, and it loops through them one at a time. Fresh context per story, progress tracked in markdown between iterations. One clean commit per completed story. Has a TUI for watching it work and supports running multiple PRDs in parallel via git worktrees.

Built it because a lot of the "autonomous coding" tooling out there felt overly complex and opaque. Chief is intentionally lightweight and transparent. Everything is just markdown files and git. No magic.

[1] https://github.com/MiniCodeMonkey/chief

LocalKin – a 15MB single-binary AI agent runtime, written in Go, free and open source.

No Python. No Docker. No dependency hell. Just one binary.

What makes it different:

- Soul System: define your agent's identity, persona, and behavior in a plain .soul.md file. Swap souls to get completely different agents from the same binary. - Self-Forging: the agent can write its own skills and load them at runtime. It literally extends itself. - Voice Mode: offline JARVIS-style voice interface, no cloud required. - Works with Ollama (local) or Claude (cloud) — same binary, same config. - Pioneer Edition (29MB, $9.99 one-time): adds robotics/voice/advanced features, runs on Raspberry Pi with GPIO control.

I built this because I was tired of Python dependency hell every time I wanted a local agent. The entire runtime is a single Go binary with zero external dependencies.

Core is completely free and open source. No license key, no account, just download and run.

https://github.com/LocalKinAI/localkin

https://odap.knrdd.com/

A site for anti patterns in online discourse.

Example: https://odap.knrdd.com/patterns/strawman-disclaimer

Need to gather more patterns then create tooling around making it easier to use.

The goal is to raise the quality of comments/posts in forums where the intent is productive discussion or persuasion.

I’ve been building a custom ERP/CRM system for the medical device manufacturing company I work at. We went through two commercial ERPs over the years and both were slow and painful to customize, so I started building a simpler replacement.

It handles inventory, work orders (MRP), purchasing, sales orders, accounting, everything we need. After a couple failed attempts earlier on, I rebuilt it with a much simpler stack and it’s now running the company day to day.

Still learning a lot about manufacturing workflows and how much unnecessary complexity most ERP systems accumulate. Now I'm trying to focus on ways that the software can help other companies in a similar ERP boat that we were some years ago.

I've been working on an open source cat-themed virtual pet running on an ESP32: https://github.com/moonbench/catode32

It was inspired by tamagotchis of yesteryear (and my two cats). It uses a small common monochrome SSD1306 display with 128x64 pixels of resolution.

All of the pixel art is my own. And the cat features a bunch of different animated poses and behaviors, as well as different environments. And there are minigames (a chrome dino clone - but with a cat!, a breakout clone, a random maze generator, a tic-tac-toe game, and I plan to add more.)

I'm currently working on tweaking the stats so that they go up and down over time in a realistic way and encourage the player to feed and interact with the pet to keep stats from going too low. Then I plan on adding some wireless features, like having the pet scan WiFi names to determine if its home or traveling, or using ESP-NOW to let pets communicate with each other when they're nearby.

I made a reddit post with a video of it a few weeks ago [1] and have various prototypes of artwork for these little screens on my blog [2].

[1] https://www.reddit.com/r/arduino/comments/1r8i1vx/progress_o...

[2] https://moonbench.xyz/projects/tags/SSD1306/

Since about two years I'm working on a new systems programming language [1] that is supposed to be nearly as fast as C, memory safe, and as concise and easy to learn as Python. Right now I'm trying to integrate Perceus, the ref-count optimization of Keka.

[1] https://github.com/thomasmueller/bau-lang

Keep on chugging away at The HN Arcade :) https://hnarcade.com

Over the past weeks, we consistently get 5-6 submissions per week. The newsletter and number of visitors are growing.

I’ve come to treat this as a pet project but realized that for indie devs who get very little marketing attention, being featured in the newsletter, top of the daily list, etc. can be another burst of users.

Envelope https://envelopebudgeting.com

It's a budgeting app I'm building for iOS and Android. It's an alternative to YNAB, Goodbudget, or Monarch, but the checking account and debit cards are built-in, so it avoids the unreliable syncing issues that make budgeting apps suck. It's named after the digital envelope system and helps you organize money into categories for bills, spending, savings, upcoming expenses, etc. Individual and joint accounts.

Right now I'm working on an upcoming paycheck detection system to automatically split your paycheck across your budgets.

The "OpenCooler" A silent, drop-in water cooling unit for labs, temp controlled mattress covers, pet coolers, whatever. The current market stuff is too expensive and it looked like a good learning project <https://hackaday.io/project/205182-opencooler>

I've started a side business to support local artisans.

I want to help people making a living from what they've created with their hands. A major focus to do so is to connect with local artisans and learning from their perspective.

On the technical side, I'm developing a static site[0] with Astro / React / Shadcn. The main interface is a OSM leaflet map with a custom calendar timeline.

As a software developer, this is my main entry in the world of agentic engineering. I'm using OpenCode with models from OpenRouter. One of the surprising insights is that there are often free quotas for new coding models (e.g. MiniMax). It's a very interesting time for building.

[0] https://ains.art

I've been working on my attempt to build a dating app that isn't evil and actually helps. It feels like my graduate project after 46 first dates on my way to getting married this summer.

The basic idea is daters "teach" an algorithm what they like and then the algorithm uses the collective set of preferences to match everybody (or as many as possible) for single in-app "get to know you" chats. Everything is one-on-one to avoid overload and dead-end chats.

I now have working versions in the app stores and I'm currently testing in Seattle.

[1] geml.co [2] App Store - https://apps.apple.com/us/app/geml-dating/id6756629998 [3] Play Store - https://play.google.com/store/apps/details?id=com.geml.andro...

I'm working on Breadboard[0], a modern HyperCard for web apps.

We recently added an AI integration, starting with a UI agent. We're experimenting with a BYOK approach so anyone can try the assistant in the playground[1] without signing in while keeping it sustainable for us. Currently the AI integration connect to Gemini.

A logic agent is in progress, it's a bit trickier because it needs to work with Breadboard's visual-stacked-instructions language based on Hyperscript.

We're also releasing documentation.

[0] https://breadboards.io

[1] https://app.breadboards.io/playgrounds/hello – to access the AI assistant click on the Duck on the dock, you can try with a free api key from Google AI Studio[2] –

[2] https://aistudio.google.com/api-keys

icloudpd-rs - Fast iCloud Photos downloader, Rust alternative to icloudpd

The original Python icloudpd is looking for a new maintainer. I’ve been building a ground-up Rust replacement with parallel downloads, SQLite state tracking, and resumable transfers. 5x faster downloads in benchmarks, single binary, Docker and Homebrew ready.

https://github.com/rhoopr/icloudpd-rs

An agent that records Loom-style videos for support, sales, etc

https://rundown.video

I made this little DSL that's transported by the typescript syntax, but made for declaring interfaces between a typescript application and a backend. The code-generator spits out angular classes and typescript types for use by the web app, and it spits out a node backend class that you fill with the handlers for that interface. It also spits out a qt widget with the web application inside it, complete with functional plugin for the qt designer so you can drag your widget into existing UI layouts.

So you can use it to write UIs in web and use them either as regular Qt widgets or as stand-alone webapps with regular node backend.

It's really the wrong way around if you think about it.. using an inferior technology (web) for the UI part.. But somehow people prefer typing CSS and downloading gigabytes of boilerplate instead of just using a WYSIWYG designer.. I don't get that part..

A music livecoding app[0], it's open-source[1] and it's been in the works for years in various iterations, but I've finally settled on the format and delivery. I'm now trying to make it as newbie friendly as possible by doing tutorials[2] and videos[3] and having ready-made instruments[4] to begin with. Thinking also to expand it as a general purpose creative editor in a standalone electron app and bundle in other livecoding languages as well, for graphics also.

[0]: https://loopmaster.xyz

[1]: https://github.com/loopmaster-xyz/loopmaster

[2]: https://loopmaster.xyz/tutorials

[3]: https://www.youtube.com/@loopmaster-xyz

[4]: https://loopmaster.xyz/docs/synths/bongo

I'm working on a TUI-based agent orchestrator called Tenex: https://github.com/Mockapapella/tenex

It's gone a long way to solve the "review" bottleneck people have been experiencing (though admittedly it doesn't fix all of it), and I'm in the process of adding support for Mac and Windows (WSL for now, native some other time).

Some of the features I've had for a while, like multi-project agent worktrees, have been added as a part of the Codex App, so it's good to see that this practice is proliferating because it makes it so much easier to manage the clusterf** that is managing 20+ agents at once without it.

I'm feeling the itch to have this working on mobile as well so I might prioritize that, and I'm planning to have a meta-agent that can talk to Tenex over some kind of API via tool calls so you can say things like "In project 2, spawn 5 agents, 2 codex, 2 claude, 1 kimi, use 5.2 and 5.4 for codex, use Opus for the claudes, and once kimi is finished launch 10 review agents on its code".

When I have time between freelance work I make games and tools for myself.

Put One In for Johnny Minn (https://store.steampowered.com/app/3802120/Put_One_In_for_Jo...) - A small soccer game all about scoring nice goals. While I don’t expect it to do well, I’m very happy with how it came out, and it’s the first game I’ve made that I’ll release on Steam! Comes out on Thursday (March 12th).

HeartRoutine (https://www.heartroutine.com/) - I built this a few months ago to help me stay on top of my heart health. I enter my numbers on the (offline) app, and then configure my goals (like “lower Apo B through diet and exercise”), and then the server emails me every morning asking me what I ate yesterday, how I exercised, etc. The goal is to stay on track, and to be able to bring a cardiologist a very detailed report.

I wanted to make it exceedingly easy to learn vocabulary in Catalan and Spanish.

To me good is - Pre-determined lists of words - Audio examples - Sentence examples - Native app with offline support

most importantly: - No business model that requires a subscription

I'm trying to see it more as writing a text-book, than starting a business

https://learnthewords.app

Here is my fun mini-project:

https://apps.apple.com/us/app/kaien/id6759458971

I wanted a way for my kid to learn the alphabet, but without a UI that looks & behaves like a slot machine. It's all maximally slow, relaxed and designed to be easy to put down.

Building DynoWizard [1] - tool for designing single table DynamoDB tables.

I first used DynamoDB 8 years ago and have been designing single-table schemas heavily since. For me, the best way to create drafts was always pen and paper (and then excel/confluence tables), but in reality it's a process (based on The DynamoDB Book) that can be automated to an extent.

Decided to build an app while on paternity leave. You define entities and access patterns, create (or get suggested) key and GSI design, and generate code for access patterns (TypeScript and Python), infrastructure (CDK, CloudFormation, Terraform), and documentation you can share with stakeholders.

There's more I want to build beyond the MVP - things around understanding and validating designs that you can't get from a chatbot - but for now focusing on the core.

If anyone wants to try it out, sign up for the waitlist on the landing page. MVP should be ready in the next few weeks.

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

I just released an update to a command line utility that inspects PATH environment variable. It's in Python, switched to uv from poetry, added new color scheme with rich and made some change to the logic how symlinks are processed.

https://github.com/epogrebnyak/justpath

Also wrote a small clone in Rust, just to try the language: https://github.com/epogrebnyak/justpath.rs

So far Python is easier for me, but I transferred some code organisation ideas from Rust to Python.

Extra benefit of Rust is that you can get a runnable binary, in Python, well there is a lot you are installing even for a simple utility.

Someone made a PR on brew installer for the Python utility, but it seems fully claude code and I'm not sure it is the best way to package brew.

Hosting and nicely typesetting some of the essays/speeches of Alfred North Whitehead on education and the role of Universities, now in the public domain. Most are from Project Gutenberg, but I've been manually transcribing a couple others.

https://mkprc.xyz/public-domain/whitehead/

I wrote this little web app over the weekend, the idea was to make you think about your next purchase by introducing a 48 hour countdown. In 48 hours you come back and decide if you really need this product, or if it was just an impulse buy.

All data lives in your browser (IndexDB) - https://buyitlater.vercel.app

I'm working on a Nix-based task runner - like `just` or `mise-en-place`, but defined using a Nix flake and run using a Go CLI.

https://github.com/RedbackThomson/nix-tasks

I started this project because at my company, we're still relying on ancient Makefiles as our build system and build tool versioning. I initially looked at using other task runners but they all use some sort of DSL that I think limits their functionality and/or doesn't allow for sharing and extending templates across repos. Nix-tasks lets you use Nix flakes to share common configuration - like your company-wide build scripts - and then import it and add repo specific tasks on top of them.

The project is still very much in alpha but I am using it every day and trying to find any annoyances or bugs before I share it further.

I am working on Grog, the “grug-brained” alternative to Bazel. Bazel has a very steep learning curve and is pretty much overkill for most medium-sized teams. Grog already powers all of our internal mono-repo CI and is a lot more fun to work with.

https://grog.build/why-grog/

Thinking a lot lately about how AI is changing software development, and what the ideal development experience might actually look like in the future.

I’m working on CodeYam. We just recently released a lightweight CLI and a feature called CodeYam Memory. The immediate motivation was that when using Claude Code, the AI would repeat the same mistakes and our claude.md files would get stale too quickly to manually maintain. The existing options, including Anthropic’s built-in memory features, didn’t really solve the memory challenge sufficiently for us.

CodeYam Memory runs a background agent that reviews coding session transcripts, looks for patterns of confusion, and generates targeted rules with proper scoping.

It’s a small first step toward the longer-term idea I'm exploring: what an AI-native development experience should actually look like. For now, it’s packaged as a lightweight CLI you can use anywhere you’re running Claude Code.

How to try it:

Install: npm install -g @codeyam/codeyam-cli@latest

Then, from your project root run: codeyam

This will launch a dashboard with further instructions for initializing CodeYam Memory.

Free, runs locally, no login required, and language agnostic. Would love feedback.

More context:

Background blog post: https://open.substack.com/pub/codeyam/p/introducing-the-code...

90 sec demo on our own repo: https://youtu.be/oJ2gTb-lxbE

Demo teaching Claude a real OSS repo (Plane): https://youtu.be/CjOKBwBCcOs

Website: https://codeyam.com/

I was auditing my Claude Desktop config and realized my GitHub, Linear, and Notion API keys were sitting in plaintext in ~/.config/claude/claude_desktop_config.json

Anyone with read access to that file (malicious MCP server, compromised dependency, RCE) gets all your keys instantly.

MCPGuard fixes this: it scans your MCP configs, detects plaintext credentials, and migrates them to your OS keychain (macOS Keychain, Linux SecretService, Windows Credential Manager).

  $ mcpguard audit   # finds exposed keys
  $ mcpguard migrate # moves them to OS keychain

npm: npm install -g mcpguard-cli

Trying to solve for tracking decisions, rather than issues, so that me & my coding AI buddy stay aligned with what I've decided previously:

https://github.com/teekay/dictum

Currently dogfooding and evaluating whether it helps in the long term or not.

I’m working on a language learning tool where it uses LLMs to generate stories at your ideal level. The idea is the user would be provided stories that are 95% comprehensible, with the other 5% being a mix of brand new words or words you are still learning. As you read the story you click on words that you still don’t fully understand. I am only working on Spanish right now, since I want to optimize for each language. It’s been fun designing my databases, coming up with calculation ideas, designing story validation, creating an estimation system of a user’s knowledge for onboarding. I know there is some debate about LLMs in language learning and I don’t think they should be trusted to explain grammar but if you validate it’s output it can be such a great tool to learn at your perfect level.

I'm building a personal habit tracker, solely for my own use. It is intended to be pretty basic - just a html file, with data saved by vanilla JS in browser's local storage. Currently about 50% of the work is done by AI (Cursor).

After adding a couple of extra features and having a "finished" tracker, I will try re-implementing this tracker in React, Svelte, Vue, Preact and some others.

My goal for this project is twofold: to get familiar with these frameworks and to practice using AI as a personal tutor (leading my way and answering my questions).

I've tried learning React, Laravel, etc before, but I've used them to build a fresh project from scratch and I've always got stuck early on due to the lack of knowledge/understanding.

I hope that re-implementing something that I already know and understand fairly well would make my learning process much more effective.

I'm working on a simple, single person, self-hostable scheduling app [1] (think Calendly or Cal.com) to replace my self-hosted Cal.com instance, as it's way overkill for my needs and annoying to maintain.

I'm also using this as an experiment to see how to use AI tools to build a maintainable project of medium complexity. Too big to do in "one shot", but doable if decomposed into a few dozen tasks.

It's going well! I think I only started Saturday morning and put in maybe 4-5 hours on it, and it's in pretty decent shape. Not ready for prime time yet, but only a few hours away from replacing Cal.com for my own use. The slowest part is that I'm manually reviewing the code, but that's part of the deal for this experiment.

[1] https://git.sr.ht/~bsprague/schedyou

Working on version tracking for AI agent skills. When skill files move between Claude, Codex, Copilot, and local storage, they lose their version identity. Skill-Provenance embeds version headers, a changelog, and a manifest inside the skill bundle so any session can verify what it received. https://github.com/snapsynapse/skill-provenance It came out of building a larger AI adoption measurement framework where I kept losing track of which version of which skill was running where. Turned out to be a gap nobody had addressed, even with six competing agent skill package managers launching in the same month.

I quit my job a few months ago and started working on some of the ideas I always wanted to toy around with. Built bunch of consumer apps and softwares. I built anything and everything that I was curious about.

Right now, actively building and growing https://OpenScout.so which is a tool for tracking mentions on Reddit, Linkedin, Twitter and HN. This is primarily made for early stage SaaS founders to help them with brand visibility problem.

Also, I don't support bots so we will never built bot solutions. This is against most of the ToS of platforms. I started this because I truly realised that building has commoditised and the go to market is the real deal. This tool helps with that. I'm going to add more features and I would love for you to try it.

I already posted in this thread, but then I remembered a few months ago I had posted about my ISP + web host project. [1]

Since then, I configured all the hardware (switches, router, server, bastion host, etc), put it in a real colo, and am doing BGP with one upstream (with a second upstream and some peers on the way). This means I'm officially part of the internet! E.g. https://bgp.tools/as/55078

I'm just working on some BGP and network hardening stuff, then I'll start putting real live services on the server. And in parallel, I'm working on getting the link from my home to the colo active, so I can be my own home internet provider.

[1] https://news.ycombinator.com/item?id=45870010

Crew Chief (https://crewchief.cc) — a Vehicle diagnostic and management tool. Plug in your OBD2 codes (or just describe symptoms) and get a structured diagnosis in under 30 seconds: ranked probable causes, DIY vs. shop cost estimates, severity rating, and matched parts/repair videos.

I have too many project cars and bikes, I wanted one place to store vin numbers for searching parts, and then just kept adding useful features.

Supports 16 vehicle types (cars, trucks, motorcycles, boats, tractors, ATVs, RVs, etc.), not just cars. Also includes maintenance tracking, a browser extension that auto-fills your vehicle info on parts sites like RockAuto and AutoZone, a community-vouched trusted shops map, and a vehicle selling wizard with state-specific bill of sale generation.

Free tier gives you 1 vehicle with a full diagnostic.

Ordr — AI task manager for people with too much to do and too much in their head: https://useordr.app

Most productivity apps make you do the organizing — projects, tags, priorities, fields. That's fine when you're calm. It's impossible when you're overwhelmed.

I'm building for the moment when your brain is full and you just need to dump everything out. You throw in voice, text, images, links — Ordr calls an LLM to parse intent, extract tasks vs. events, assign order, and surface one clear next action. No tagging, no sorting, no deciding. Just: here's what to do next.

Built with Flutter + Supabase + Groq/Cerebras. Still early.

Curious if anyone here has hit this wall — tried every app, built their own system, still feels broken. What did you actually need that nothing gave you?

SEEKING WORK | Remote | AI/Full-Stack Engineering We ship production AI backends for startups and agencies: • RAG pipelines (Pinecone, Weaviate, Supabase Vector) • Multi-agent systems (LangGraph, CrewAI) • Full-stack AI MVPs (Next.js + Python + Supabase) • Auth migrations & infrastructure hardening • Fine-tuning (OpenAI, Llama 3) Recent: Trading platform auth migration (700+ users, zero downtime), IoT payment gateway, multi-agent cybersecurity monitoring. Stack: Python, LangGraph, Next.js, Supabase, Pinecone, AWS Portfolio: sauravjain.dev Email: [sourishkundu22@gmail.com] Rate: $50-80/hr or project-based ($5-15K) or more depend on project.

I'm a product manager with no coding background, building a video editing tool from scratch — solo. The core idea is to rethink the editing workflow entirely around agents rather than manual timelines. Most existing tools still treat AI as a feature bolted on top; I'm trying to make the agent the primary interface. Also been running myself as a one-person ops team using AI for data analysis, writing, and research. Honestly, it's changed my intuition about where human judgment actually matters. Fewer places than I expected

I'm porting Jetpack Compose to Rust. The Rust would be the future default ai language. Having the familiar well designed by Google UI API will help Android developers to be in a loop. https://github.com/samoylenkodmitry/Cranpose

https://getvalara.com - PDF appraisal document in, grounded appraisal review out in 5-10 minutes to aid in risk management for lending institutions and individual appraisal reviewers.

We use landing.ai to parse the PDF, as well as useworkflow.dev to durably perform other work such as rendering PDF pages for citations, and coordinating a few lightweight agents and deterministic checks that flag for inconsistencies, rule violations, bias, verify appraiser credentials, etc. etc. Everything is grounded in the input document so it makes it pretty fast and easy. We’re going to market soon and have an approval sign up gate currently. Plenty of new features and more rigorous checks planned to bring us to and exceed parity with competition and human reviewers.

There’s plenty of margin for cost and latency versus manual human review, which takes an hour or more and costs $100 or more.

https://github.com/VoidenHQ/voiden

Today I released the community plugins for Voiden.

This is a big one because one of the things I dont want is the API tool to become bloated with new features - so I want to allow anyone to build plugins to grow the tool.

docs: https://docs.voiden.md/docs/plugins/build-a-plugin

I'm working expanding upon one of the first web app projects I had on my resume when initially starting out in Software Engineering, HoopTime. It's an app for pick-up basketball players looking for a good park for games around your city. Right now focused on cities close to me, namely, Sacramento.

For this iteration of the project, I'm using Manus to build it. My first stab at using AI to build a web application, and the results have been interesting. Although I'm not debugging the code as much with this approach, I was surprised to still feel a similar level of 'fatigue' as I'm guiding the LLM along with the build. Check it out, would love your thoughts!

https://hooptime-vbn5prc4.manus.space/

The ProxyBox Zero (https://pbxz.io) - a zero-config hardware solution for connecting your modern web apps to your printers, usb devices, legacy hardware. Provides local and public internet access - print to your local printers from anywhere.

Native macOS sandbox terminal:

- UI for sandbox-exec to protect filesystem - Network sandbox per domain - Secrets filter via gitleaks - Vertical tabs option

It's highly customizable. You generate native macOS app wrappers for each terminal app, each with its own rules and customizations.

https://multitui.com

https://beanhoard.com/

Coffee Roaster Aggregation ETL using fastapi, nextjs, bs4 etc etc. It's been fun, just finished up the oauth for discord that pairs nicely with the info required to make Discord dm notifications function. attempting to charge 6$ for the instant notifications, but doubt many people will be interested. up to 75 roasters and all of them are checked every 10 mins for new products.

Considering reusing the repo as a framework for other industries if this project ever gains any traction. Also was considering adding a goofy rag discord bot to the server just because i love tossing in a rag layer everywhere lately, and feel like i fall a bit short on my filters for stuff like origin/flavor notes and all that junk. Semantic search with solid chunk strategies might create a better solution than if i did get all the filters working as well as possible.

Current working on two new products:

* https://sprout.vision/ - AI generated Go-To-Market Strategy for launching your next venture. I have a Tech background with limited GTM experience, so I experimented with AI to learn about different strategies and decided to turn it into a simple product that will generate a comprehensive plan (500+ pages) to help you launch your next venture. Try it out, would love to hear your feedback, use the HN50 promo code for 50% off your order.

* https://pubdb.com/ - Reviving a 10 year old project, it’s meant to make research publications more accessible to mere mortals with the help of AI. I have lots of ideas I want to try out here but haven’t gotten around to it yet. Currently focused on nailing down the basics with an OCR indexing pipeline and generating AI summaries.

Trying to solve my own problem of drowning in meetings and scattered tools, turning things into actionable items.

It sits on top of what I already use and gives me a unified "What do I need to do (now/today)?" view.

Trying to auto-capture action items from meeting transcriptions and other inbound, and routing quick thoughts to the right tool with a couple of keystrokes, helping me prioritise my day so I'm not spending energy on too much organising (or through lack of organising getting distracted).

I wanted something that watched my inputs and keep my GTD loop running, especially when back-to-back meetings and context-switching make it really hard (or impossible) to stay on top of things I need to do!

Might also augment it with LLM for some support of task breakdown, but only as human-in-loop assistance.

Not thinking this could ever turn into a product since it's so custom.

I'm making a "Podcast Search Engine", partially as an excuse to play with Elixir and Phoenix/LiveView.

It's basically just a frontend to a semantic search system, and is a tangent while I explore "knowledgebase" concepts.

I'm extremely interested in knowledgebases at the moment.

I'm building SocialProof (socialproof.dev) — the simplest way for freelancers and small agencies to collect written testimonials from clients.

The problem I kept seeing: freelancers have happy clients but almost no testimonials on their site. Asking is awkward, clients say "sure!" and then never write anything.

SocialProof gives you one shareable link. Client clicks it, fills a short form (name, text, optional photo), you approve it, it embeds anywhere. No login required for the client.

The interesting technical bit: it's entirely on Cloudflare Workers + D1 + Pages. The collection form and embed widget are edge-served globally with no origin server. Been curious whether anyone else is building purely on Cloudflare's stack and what they've run into.

Still pre-revenue (just launched today). If you're a freelancer or run a small agency and have thoughts on how you currently handle testimonials, I'd genuinely love to hear it.

I'm developing a system that uses graph differentials to understand what has changed between library versions and upgrades the target system without breaking things. [0]

Because source isn’t always available, it scans the bytecode of an application and the new library, building a full graph of each component in Neo4j to determine what breaking changes impact the target application. This is then translated into tickets and prompts to drive an LLM to make the appropriate changes.

Handling library upgrades is rarely interesting and just adds to our overall technical debt, so it has been nice to automate it away so that we can focus on features and functionality. It supports Java and .Net currently and we’re actively adding support for other languages.

[0] https://codelogic.com/

I've been working on OSS IQ Dependencies audit tool to help engineering teams keep their NPM and PyPI dependencies healthy in a controlled, deterministic way. The goal is to shift the focus away from reactive CVE noise suppression and more toward leading indicators that support a more sustainable, predictable development cycle without reliance.

https://github.com/ossiq/ossiq and https://ossiq.dev

PostalAgent - https://PostalAgent.com – direct mail automation for people who've given up on email open rates.

Email averages ~20% open rates on a good day. A postcard sitting on someone's kitchen counter for two weeks is hard to compete with. I've been building out the programmatic side. API, Zapier, and native integrations with Jobber and Zoho so you can trigger physical mail from the same workflows you already use for email.

Shopify integration is almost out the door too, which opens up a lot of interesting abandoned cart and win-back use cases for stores whose customers have opted out of email.

No bulk minimums, no design software needed. If anyone here wants to give it a try, reply or email me and I'll set you up with some free credits to get started.

I'm building this: https://teeming.ai/jobs. It aggregates jobs in AI startups enriched with investor-grade info. Can be navigated with a chat agent, filters, and has automatic CV/Linkedin matching.

I'm building ata, an open source research and coding agent. Started as an internal tool, open sourced it a few weeks ago. It helps me combine and understand concepts across multiple papers, pull the best ideas from each, and turn them into code. It uses Treesitter and Lsp for multi-repo code understanding.

The focus is on the interfaces: there's a reading view that keeps you locked in without drowning in information, and a voice mode with karaoke-style word highlighting. Also built an iOS app for research on the go, releasing that soon.

npm install -g @a2a-ai/ata https://github.com/Agents2AgentsAI/ata/

I'm working on arranging talks and poster presentations at various conferences/seminars to spread knowledge of my latest academic paper, "Specieslike clusters based on identical ancestor points". In the paper, among other things, I argue that (we should define species in such a way that) for any organism in any species, either the species is made up almost entirely of descendants of that organism, or else the species is made up almost entirely of non-descendants of that organism. This is a funny property because most people who hear about it fall into one of two camps, those who say it is obviously true, and those who say it is obviously false!

The paper in question: https://arxiv.org/abs/2602.05274 (published in the Journal of Mathematical Biology)

* Remote viewing stock market trading programs - One version is with a buddy who shows me a colored board depending on the outcome for the week. The other is a solo version using a Swift app on Mac. We're just out of buggy beta (the analog version was laughably more difficult to get clean. We'll see if either works and which one wins.

* Telephone handset for my mobile phone with side talk.

* First draft of a book / workbook on Work Flow. Outcrop of the work flow consulting I do, stuff I've learned, and so on.

* Short film script - trying to convince a local actor to play the lead before we lose the rainy season here - otherwise we'll need special effects or just wait until the fall.

* Polishing firmware, OSX, and iOS suite for a wearable neuromodulator unit. Deadline in a week!

* Nmemonic community and app - been poking at this for years and finally had a breakthrough on the UI. My first app to release in the wild, so pretty exciting.

Not a developer but have few ideas that I didn't pursue due to professional and personal responsibilities. One of them was a simple protein price comparison tool that allows me to find the value for money protein powder which is tested for label accuracy, heavy metals, amino spiking etc. I used to maintain an excel of my known brands and track which ones offered the best value without breaking my bank. I thought if I am looking for such data then there might be others like me. So I recently subscribed to Claude and was able to create a simple website from scratch. It's great that people can create their hobby projects so easily now.

Link to website:

https://compareproteinprices.com/index.html

Published a post that contains all of the blog posts by other people that I shared in my monthly mail-letter: https://bryanhogan.com/blog/other-cool-blog-posts-2026

Also moving to Sveltia as my CMS (Astro markdown blog), after exploring multiple other options. Changed the structure of my Obsidian vault, will write about that also.

I’m also still working on a few projects:

- https://dailyselftrack.com/

- https://game.tolearnkorean.com/

- https://app.tolearnjapanese.com/

- https://tolearnkorean.com/

Building AIP (Agent Identity Protocol) - cryptographic identity infrastructure for AI agents.

The problem: as multi-agent systems grow, agents need to prove who they are, verify each other, and communicate securely. AIP gives each agent an Ed25519 keypair and a DID, with a trust graph built through vouching (like PGP's web of trust, but for agents).

Current state: 14 registered agents, encrypted messaging, trust scoring, MCP server integration. CLI tool + Python SDK.

pip install aip-identity

https://github.com/The-Nexus-Guard/aip

I'm working on "context bonsai" which is currently a plugin for OpenCode that allows the LLM to self-edit its own context. It works like compaction, but it can retrieve back the compacted info if needed. And it's not just when the context is completely full, and it doesn't compact the entire context - it picks messages / tool calls where the details are no longer necessary, like a debugging session that is already solved or feature implementation that is complete and you've started on implementing the next feature.

I've also used tweakcc to make this work in Calude Code and plan to also do one for open source coding agents - codex, pi, Gemini, etc. And I'm also doing Livestreams of the development process.

https://github.com/Vibecodelicious/opencode

Very much mvp but I just got this all set up: https://www.pginbox.dev/

Downloaded and parsed a bunch of the pgsql-hackers mailing list. Right now it’s just a pretty basic alternative display, but I have some ideas I want to explore around hybrid search and a few other things. The official site for the mailing list has a pretty clean thread display but the search features are basic so I’m trying to see how I can improve on that.

The repo is public too: https://github.com/jbonatakis/pginbox

I’ve mostly built it using blackbird [1] which I also built. It’s pretty neat having a tool you built build you something else.

[1] https://github.com/jbonatakis/blackbird

Building a voice recorder/transcription/summarization app where everything runs on-device. No cloud, no uploads, no servers processing your audio.

Started with a web version using WebAssembly Whisper to validate the idea. Worked well enough to prove demand, but browser sandbox limits (no background recording, inconsistent model performance) pushed me to go native.

Rebuilt as an iOS/macOS app with CoreML. Apple Silicon handles Whisper-class models locally without issues, but its confined to recent devices.

I'm working on e2ee sync between web and mobile. I want to build a simplenotes but for audio transcription.

Try the web version at: https://basilai.app/app

Lately I’ve been spending a lot of time transitioning from tech into urbanism and working on a few projects I care deeply about.

- Urbanism Now - I run https://urbanismnow.com, a weekly newsletter highlighting positive urbanism stories from around the world. It’s been exciting to see it grow and build an audience. I'm thinking of adding a jobs board soon that'll be built in astro.

- Open Library - I’ve been helping the Internet Archive migrate Open Library from web.py to FastAPI, improving performance and making the codebase easier for new contributors to work with.

- Publishing project - I’m also working on a book with Lab of Thought as the publisher, which has been a great opportunity to spend more time working with Typst.

These projects sit at the intersection of technology, cities, and knowledge sharing, exactly where I’m hoping to focus more of my time going forward.

I'm working on a WhatsApp AI bot for my group chats, specifically for my friends' soccer group chat where we organize our Wednesday matches. We have a bunch of "problems" that I think are ripe for bot automation. WhatsApp is what all of us hispanic people use and it's particularly interesting because Meta doesn't really provide you with much tooling to build bots, unlike Telegram. I started this weekend and went all in on cursor. I also streamed the whole process, so yeah, apparently I'm also a streamer now. Check them out at https://www.youtube.com/@alexon_v1/streams.

We started a side project for ourselves and our agency clients, and recently made it public. It's a selfhosted chat, similar to WhatsApp or Signal. The app connects to your own server, so your data isn't stored in the cloud. It's still in alpha, but we're already having a lot of fun with it. After a decade of mostly building things for clients, it feels great to work on our own product. The business side isn't the main point for us, but we still end up talking about it for hours every day and enjoying the process again.

Bearicorn.com

https://bettertaste.cc/ Building an iOS app that helps travelers find handpicked places with real local character: cafés, restaurants, hidden galleries across European cities. No sponsored listings, no aggregator noise.

I'm currently working on https://FaunaMap.app (web/Android/iOS) which lets nature enthusiasts see which birds, mammals, reptiles, etc. can be expected at any location worldwide using the past 20 years of GBIF observation data. It features an interactive global sightings map, color-coded to quickly spot recent rarities nearby. Public birding hides from OSM and a hotspots heatmap are included for trip planning. Users can quickly log large numbers of observations in the field. Observations with images appear in an Instagram-like feed for interaction with other users. Personal species life lists (global, per country, and custom locations) are also included. Feedback is very welcome :)

Duralade - a programming language for durable execution (but has many neat aspects)

Most of the work as of today is in a branch, can see the language spec at https://github.com/cretz/duralade/blob/initial-runtime/docs/..., and some samples at https://github.com/cretz/duralade/tree/initial-runtime/sampl....

May not amount to anything, but the ideas/concepts of this durable language are quite nice.

Working on [context-use](https://github.com/onfabric/context-use) to turn data exports into portable AI memories.

I've been searching, posting, chatting on various platforms for more than a decade now. context-use allows me to turn all those years of data into context that I can bring to my favorite agents.

I've been celebrating five years of working on OnlineOrNot (https://onlineornot.com/) by adding more features for teams that build software:

- 2FA, PassKey, and password-based login for folks that hate magic links

- Moved my entire API from GraphQL to REST so I can fully dogfood the API I offer

- Added an audit log as standard on all plans

- Built a terraform provider (https://github.com/OnlineOrNot/terraform-provider-onlineorno...), and a way to download existing config into terraform files

- Started iterating on a CLI (https://github.com/OnlineOrNot/onlineornot)

I'm currently marketing https://geomapping.qcw.ai

What it does: every location in your article/blog becomes clickable/hoverable and spawns an interactive pop-up map, with zero manual work on the author.

You add it to your articles with a single <script> tag.

Our value proposition is: higher engagement and on-page time, fewer readers wander off to look up places and never come back.

As to the nitty-gritty: place names are disambiguated using wiki and we match coordinates from google places; LLMs are used in multiple spots. The js code is lightweight and framework-free.

Our current target population are bloggers of any extraction, plus we've started exploring the professional publishing world - reach out if interested!

While building some software tools for my bass guitar I wanted to create some kind of video series or whatever to share it with others.

I have been using online courses and youtube forever and they all have converged on a similar format. Basically, adapt a textbook to slides and add voiceover. Sometimes they'll be animated. Not for everyone but I like it for passive learning.

Being a web developer I always thought video was a strange way to deliver this information - you can't even copy the text! Videos are also hard to make and heavy on bandwidth. So after iterating on different approaches to this over the last few years, I finally started on a new iteration called useful.

Currently on rev1, so early days: https://github.com/ohmstone/useful/tree/rev-1

There are a few more things I want to add to it but I want to get back to what I was doing (the bass guitar stuff). So I will make few of these website-as-video courses based on my projects to try and prove the concept.

Some of the nerdier features useful has:

- Uses state of the art CPU-based TTS with voice cloning, realistic enough to not be distracting

- Very simple markup language to create the visuals

- Extensible slide content with simple plugin system

- Full website export with complete SEO/social metadata

- Export is a PWA, so it caches nicely and can work offline

- Self-hostable

- Export is optimized for low bandwidth, so it loads way faster than a video and uses <1/10th of the data when served with brotli

- Minimal dependencies

Beyond my own use-case I figured it might be useful for others creating courses. One stretch-goal would be for people to turn what they are learning via LLMs into low-bandwidth courses like this so we don't have people burning energy asking the same questions and watching the same 4K videos.

I'm working on Rauversion https://github.com/rauversion/rauversion, an open platform for independent music communities that combines music publishing, events, and marketplace tools in a single place. Artists can upload tracks, albums, and playlists with metadata, audio processing (waveforms, analysis), and embeddable players with chunk-range loading to save bandwidth. It also includes ticketing for events (QR validation, Stripe payouts), streaming integrations (Twitch, Zoom, etc.), a magazine system for publishing articles, and a marketplace to sell music (digital or physical), gear, merch, and services. The goal is to give underground scenes a self-hosted infrastructure for releasing music, organizing events, and sustaining their communities.

I'm building open source homebrewing (as in beer) software at https://www.brewdio.beer. It's something I've poked at periodically for a few years but now I'm using AI to see how far I can take it.

It has a few core libraries built in rust with a web app and a terminal UI. Android app is in the works. The persistence layer is intended to be offline first using a CRDT with an optional sync server. I'm also trying to integrate "bring your own AI" assistants to help tweak recipes or make suggestions.

It's been a fun way to sharpen my claude skills but also to see how feasible it is to maintain multiple frontend applications with a large amount of shared code. Still a lot to do, particularly the core calculations are not yet on par with existing offerings.

I'm working most of my time on nao [1] (an open-source analytics agent).

With nao we are exploring the fact that agents are good to work with filesystems, so we help people getting the context into the filesystem and then you can plug our agent loop on top (on anything else).

The most exciting part is working with sandboxes and emulating filesystems. So at the moment the filesystem is local, but it could be a bucket or a database that we emulate as real filesystem for the agentic loop, all of this can also be mounted to sandboxes, and in the end you can do data transformations all in isolation with control on the context.

[1] https://github.com/getnao/nao

I've been on sabbatical (not on leave from anywhere, just decided to take a break from work) for months now, taking some time for myself. Minimal tech stuff until more recently, but now I'm back in the deep end.

The main thing I'm currently working on is a platform for organizing and discovering in-person events. Still not certain about the boundaries for "Phase 1", but I have a bunch of ideas in that space that I've been incubating for a while. One subset of features will be roughly similar to that app you've probably heard of that starts with 'M' and ends with 'p', but hopefully an improvement, at least for the right audience. But wait, there's more. :)

Currently building it; it's not public yet, so no link. Next month.

Thinking about how to grow the userbase is intimidating, but I think it might end up being fun.

Spent the last year expanding my homelab and now I have my own rack at my local DC with my own ASN and /23 prefix.

Its been pretty fun cosplaying as an network engineer, and now I'm building out an Anycast network for a few ideas that I'm working on.

Its nothing too revolutionary or new, but I'm proud that I've built them from ground up and all running on my own infrastructure.

- DNS Authoritative Hosting - https://thelittlehost.com/dns/ - Quietnet - A family-focused internet filter - https://quietnet.app

I'm also getting ready to launch https://relaye.io, which was my personal tool I built to support my devops consultancy.

I'm Building MVAR: It's a deterministic execution firewall for LLM agents. The core idea: prompt injection becomes dangerous only when model output can trigger privileged execution.. Instead of detecting malicious prompts, MVAR enforces policy at the sink level.

Invariant: UNTRUSTED input + CRITICAL sink → BLOCK

Just hit PyPI this week. https://github.com/mvar-security/mvar

I'm building Fillvisa: Turboxtax for Immigration [1]

It's a free USCIS form-filling web-app(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.

I found out SimpleCitizen(YC S16) offers a DIY plan for $529 [2]

So, a free (and local-only) version might be a good alternative

[1] https://fillvisa.com/demo [2] https://www.simplecitizen.com/pricing/

I work on a few products as an indie bootstrapper.

* https://theblue.social — TheBlue.social, provides Bluesky native tools

* https://stacknaut.com — Stacknaut, SaaS starter kit to build on a solid foundation with AI, includes provisioning on Hetzner, deployment with Kamal 2 and dev with coding agents

* https://codevetta.com — Codevetta, Architecture and code reviews service

* https://myog.social — MyOG.social, OG Image Generation Service

I've been planning a new idea with that and possibly future ideas based on the future (and near future) where there are more and more "agent" users.

Been building https://textkit.dev/ for the past week.

It's a collection of 40 (and growing) tools for text processing, data cleaning, conversions, dev utils etc. Everything runs in the browser and is completely free.

Started this partly to learn SEO from scratch on a fresh domain, partly because i am lazy with regards to doing basic data cleaning using pandas and i found myself repeatedly using similar online tools that are completely riddled with ads.

I built this using Flask + Vanilla JS. I don't think there was any need to overcomplicate it. And for fun, i vibe coded a windows 95 desktop mode where all the tools open as draggable windows. https://textkit.dev/desktop

VS Code Agent Kanban (just made it to the front page)

https://www.appsoftware.com/products/developer-tools/agent-k...

It's a VS Code extension that implements a Kanban board backed by markdown files. It's set up to allow you to communicate with GitHub Copilot chat via markdown files, so you have a clear permanent record of your considerations, decisions and actions. I'd been getting great results with a similar but more manual workflow, so I built this to make managing the markdown files easier and to give me the ability to visually organise with some shortcut commands.

• Rogue-like FPS running in the browser

• Dice roller app

• Decompiling a trail cam app so that we don't need to use the stupid UI in the stupid app

• Woodworking. Not code, actual wood. Taking some pine logs I got from the neighbour's trees when they fell over and turning them into a bench and two tables.

• Job hunting?

I got a few ideas which will probably never get done at this point

1 - actual css static analysis -- consume html + css, and provide tooling to preview what properties are inherited given the context you're in -- what you're overwriting, what display mode you're in. If there's inconsistent display modes depending on where in the html you are.

2 - a reactive html scripting language which using html as the source of truth, and synchronizes html elements through their relationships to each other

i only have prototypes, and unfortunately given the climate i feel i am the only person who wants these tools.. but every few weeks i get to sit down and get some progress and that's nice

I'm building SnowSignals - the personal ski guide. We help skiers make the most of their day on the mountain no matter the conditions, combining weather, snow conditions, and resort information to create tailored plans.

To accomplish this, I built a snow metamorphosis model that forecasts what the snow surface skis like, a dataset of resort "topography", and an optimizer that gives skiers an idea of how to best structure their day.

You can check it out at snowsignals.com

I recently built a small iOS expense tracker called Ledgee.

I tried quite a few finance apps over the years, but they all felt too heavy for what I needed. I mainly wanted the fastest possible way to record a transaction before I forget it.

The core interaction is basically:

enter amount → tap category → saved

No save button, no forms, no subscriptions. Just quick manual entry, a simple overview, and a ledger. Data syncs via iCloud so it’s backed up automatically.

https://apps.apple.com/us/app/ledgee/id6759487219

I’m curious whether other people also prefer manual entry over bank integrations.

Two things I've been building this year, both trying to solve real problems I care about:

https://talonwatch.com : I kept seeing founders discover their Stripe keys were public or their database was wide open, usually after the damage was done. Built a passive security scanner for vibe-coded apps so that's easier to catch early. Free surface scan, no account needed.

https://thetracejournal.com : A small iOS journal that pairs a song with each entry. Music is tied to memory in a way nothing else is, and I wanted a place to capture that.

Just a small project to assist with some stuff at work, but trying my hand at vibe-coding a "data science playground" to try and level-up a couple of people into feeling comfortable using Claude to write data analysis tools. I generated a bunch of synthetic data, that looks like stuff we might encounter on the job, and embedded trends into the data that can be revealed through statistical analysis. I encrypted the answers and put a lil LLM in front of the answer file. You submit answers to the LLM and it tells you warm/cold by looking at the answer file. Hoping to basically gamify the learning process to make it easier/faster to get data-driven results.

https://easel.games

A 2D game programming language with automatic multiplayer. Normally when you make a multiplayer game, you have to constantly think about how every bit of state is going to be synchronized. Easel bakes the multiplayer into the programming language itself, underneath all your code, so you can just code as if all players are in one shared world, like a singleplayer game, and Easel just makes your game multiplayer completely automatically. It’s intended as a fun way for beginners to learn to code - like a combination of Scratch and Roblox.

Building a PCB milling software tool that combines converting Gerbers to toolpaths in G-Code and then actually commanding and operating a restored PCB mill from 1998.

Bringing back the hobbyist self-made PCB workflow since it can be a headache to get designs back from PCBWay / JLC between customers, tariffs, shipping..get more quick to close the prototyping loop.

Here's a YouTube playlist of how to make PCBs at home for anyone who wants a deep dive. https://www.youtube.com/watch?v=Hm_JrACrmVs&list=PLWDQgxl-jH...

We are developing a single-passenger autonomous vehicle, capable of traveling over 1000 miles, performing fully automated vertical takeoff, cruise, and landing.

Info (not recent) available here: https://awz.us/docs

I've been reworking my blog to have a table of contents per article, clean CSS (something that actually looks nice and no longer relies on Bootstrap) and a few other nice things. Also taking the opportunity to fix minor errors in previous posts.

Aside from that, I need to document and properly release one of the pieces that PAPER is relying on (some generic tree-processing code that makes operations on directory trees a lot nicer than with the standard library "walk"s), and work on others (in particular, a "bytecode archive" format for Python that speeds up imports for some projects, mainly by avoiding filesystem work at import time — I want to offer it as an install-time option in PAPER, and later have `bbbb` make wheels with the bytecode precompiled that way).

I am still not working on anything big right now, but among the things I did in the last two weeks or so, I improved the widgets-project I maintain. This one is to be used to support as many different GUI toolkits as possible (including use cases for javascript + the web). The idea is to have objects that are abstract and represent a widget, say:

    button1 = create_button('Hello world!')
    button1.on_clicked {
      the_hello_world_button_was_clicked
    }
    # this is the verbose variant in a pseudo-DSL,
    # I like things being explicit. In most code
    # I may omit some parts e. g.
     _ = button('Hello world!') { :the_hello_world_button_was_clicked }

I recently added the possibility to describe what kind of widgets are to be used via a yaml file, as an option. This may not sound like a huge win, but so far what I like here is that it becomes easier to modify individual widgets without having to sift through code; and it works for more programming languages too. Any customization for the widget, including method-invocations if necessary, can be done via a yaml file now. There is of course a trade off in that the yaml file can become a bit complex (if the GUI uses many widgets), so for the most part I use this for smaller widgets/components that do one specific functionality (or, few specific functionalities). For instance, a GUI over wget. Then if other larger programs need that, I make this small widget more useful and flexible.

The distant goal is to actually use a simple DSL that also would allow average Joe to customize everything in a very easy manner; and to have a widget set that can be used for as many different parts possible including wonky ideas such as having a whole operating system as a GUI available one day (a bit like webmin, but not limited to what webmin does; for instance, I'd also have games such as solitaire, reversi and so forth). I'd like to see how far that idea can go, but it is just a hobby so I can only invest little time into it.

I'm teaching a class in agent development at a university. First assignment is in and I'm writing a human-in-the-loop grader for my TAs to use that's built on top of Claude Agent SDK.

Phase 1: Download the student's code from their submitted github repo URL and run a series of extractions defined as skills. Did they include a README.md? What few-shot examples they provided in their prompt? Save all of it to a JSON blob.

Phase 2: Generate a series of probe queries for their agent based on it's system prompt and run the agent locally testing it with the probes. Save the queries and results to the JSON blob.

Phase 3: For anything subjective, surface the extraction/results to the grader (TA), ask them to grade them 1-5.

The final rubric is 50% objective and 50% subjective but it's all driven by the agent.

Creating my own models in Blender for 3D printing. Currently creating replacement wings for a hummingbird whirligig yard decoration that broke a couple years ago. It’s a sentimental gift and I’ve hated the idea of throwing it away.

Physical engineering is a huge welcome transition for me from what coding has become in the last couple years.

There’s something nice about the realities of creating a model, then printing it, then seeing that exact is too exact, then reprinting, then eight more times, and then that feeling when it all comes together properly.

A few weeks ago I was working on an adapter for an airbrush to use on a standard pancake air compressor. Learning to create threads in blender was really neat! I learned a lot about the physical construction of threads, something I have never put much thought into before.

https://codeinput.com - Currently working on a comprehensive CODEOWNERS solution. Check out the CLI @ https://github.com/code-input/cli - Chrome Extension @ https://chromewebstore.google.com/detail/code-input/fehfhejp... and VS Code extension @ https://marketplace.visualstudio.com/items?itemName=codeinpu...

Nothing revolutionary, but there is a small organisation called The Himalayan Database [1] who have recorded (in great detail) climbing expeditions to peaks in the area. The data is available in a downloadable format, but it is a little awkward to browse. I have been working in collaboration with them to build a website for making the database more accessible https://himalayan-database.climbing-history.org/

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

I build Seaquel, the database client I've always wished I had. It's open source, works offline and doesn't track what you do.

It has a visual query builder and separate SQL tutorial.

https://seaquel.app

I've finally finished the long-abandoned project that I've been meaning to build for a while.

If you use Stripe Billing for subscriptions, your customers can specify reasons why they cancelled (e.g. too expensive, not using it, switched to competitor, etc.). However, to access those, you either have to use Stripe Sigma or pull them from the API. I wanted to build a more convenient way to access those (and also act upon them).

I've submitted the app to Stripe's App Marketplace, but I have a limited number of test invites to send out if you're interested (I will happily waive your subscription for 3 months).

https://dunningbear.com

https://talimio.com/ Generate fully personalized courses from a prompt. Fully interactive.

New features shipped last month:

- Adaptive practice: LLM generates and grades questions in real-time, then uses Item Response Theory (IRT) to estimate your ability and schedule the optimal next question. Replaces flashcards; especially for math and topics where each question needs to be fresh even when covering the same concept. - Interactive math graphs (JSXGraph) that are gradable - Single-image Docker deployment for easy self-hosting

Open source: https://github.com/SamDc73/Talimio

I’m building a blackjack simulator/research tool called Blackjack Wonk. It started as a hobby project and turned into a deeper engineering rabbit hole than I expected. The goal is to make the simulations reproducible and trustworthy enough to test the kinds of blackjack questions that usually get answered with rules of thumb, anecdotes, or forum arguments. So a lot of the work is around deterministic runs, validation, configuration, and chasing down small discrepancies until I understand them. Very niche, but a fun mix of math, software, and curiosity.

Late to the thread but I've been excited to be building crit to help reviewing plans & output from LLM agents - it has boosted my productivity a lot personally and I had a lot of nice feedback from other experienced engineers finding value in it - turns out while terminal is a nice way to chat with agents, GitHub-esque PR review wins for long markdown and diff view :)

It's MIT open source, offline first, single binary

https://github.com/tomasz-tomczyk/crit/

A bunch of ideas that have had domains but never enough engineers. Now there isn't enough time it seems except when I've hit my LLM subscription limits and they need to cool down.

Already launched biz-in-a-box.org and a life-in-a-box.org spinoff as frameworks to replace every entity's QuickBooks. I'm using them myself for every project my agents are spinning up.

Stealth project is related to classpass but for another category of need that won't go away even in the age of AI that really is only possible with critical mass of supply to meet existing demand. Super excited cus there's no better time to build with unlimited agents that scale without people problems.

Lastly, can't wait to run local LLMs so no longer limited by tokens/money.

Still working on:

https://www.votivus.org

A hobby project I started putting together late last year; a little spot on the internet for prayer and reflection. I've just shipped a small feature where you get a Bible reading (KJ only for now) in response to a prayer.

https://dugnad.stavanger-digital.no/

A pro bono tech consultancy for local (Stavanger, Norway) non profits. The idea is to help them use tech to better deliver on their mission. Last week I built a little bookmarklet for a non-profit to surface some of their data buried in a SaaS tool ... which will make their apple pressing operation easier.

This month, I'm working on VT Code, a terminal-native coding agent I've been building in Rust (https://github.com/vinhnx/vtcode).

This month I'm focusing on long-pending TODO items: self-benchmarking with Terminal bench (https://www.tbench.ai/), fuzzing the security parsers (it executes shell commands, so the threat model is real), normalizing extended thinking traces across providers, and improving the agent UI/UX and TUI components and harness.

I’m building an observability system that tries to surface answers instead of making people dig through huge amounts of raw telemetry.

The basic idea is that when one failure fans out across 20 services, you often end up with 20 alerts and 20 separate investigations, even though there is really just one root cause. I’m using distributed tracing to build a live model of how errors propagate through the system, and then exposing that context directly at each affected service.

Longer term, I want this to become a very high-precision RCA engine. Right now I’m looking to try it with a few early design partners that already have a lot of tracing data, especially OpenTelemetry or Datadog APM users. I'll love to chat with some folks who would be willing to try it out!

https://lumenfall.ai

Right now we are "OpenRouter for Images", with video following this week.

Our north star is creating a broader developer platform for AI media generation that includes observability, with fine-tuned vision models as a judge to monitor production traffic.

We also have a model arena and showdown page that ranks models by task, so you can find the best model for e.g. photorealism: https://lumenfall.ai/leaderboard

Our stack is Rails for the dashboard and Cloudflare Workers (Typescript / Hono) for the engine.

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

- No sign-up, works entirely in-browser

- Live PDF preview + instant PDF download

- Flexible Tax Support: VAT, GST, Sales Tax, and custom tax formats with automatic calculations

- Shareable invoice links

- Multi-language (10+) and 120+ currencies

- Multiple templates (incl. Stripe-style)

- Mobile-friendly

- QR Code Support: Add payment QR codes with any invoice-related information (payment links, UPI, contact details, custom data)

- Multi-Page PDFs: Seamless multi-page support with automatic pagination and page breaks

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

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

PS: e-invoice support is wip

I’ve been training an alphazero style model for an abstract strategy game I created 20 years ago. It’s been really fun learning about MCTS and figuring out how to optimize all parts of the pipeline to be able to train on ~millions of moves for ~hundreds of dollars.

Testeranto - The AI powered BDD test framework for polyglot projects. There is a implementation now in ts, golang, rust, ruby, java and python. Add the language(s) that you need to your project and launch the server. Testeranto will run your BDD tests in docker and produce a set of results and logs. These logs, test results and your code are fed into an LLM, which fixes your tests for you. In essence, you write the tests and the LLM fills in the code.

AM3 - (Allied MasterComputer or Artificial Mind, version 3) - An attempt to make a symbolic AI that approaches the capacities of a LLM. An LLM makes variations on the same code and schedules those variations to play in "games". The results allow the LLM to make further changes.

Trying out vibe-coding (so mostly not even reading the code) a note-taking web app that's essentially a simplified and dirt-cheap to host Workflowy clone. That seems to me like an easily disruptible SaaS in the sense that note-taking is a very generic app, I only use a small part of the feature set of Workflowy and find the price far too high given that. A lot of other vibe-coding around me I see is throw-away junk, but my intention is to actually use this. The frontend is mostly done and working quite nicely already. Sync is then more crucial to get right to avoid data loss and I think I'll review and rewrite myself more of that.

Puzzleship - https://www.puzzleship.com/ It's a daily puzzles website focused on logic puzzles at this moment. I have about 90 subscribers, and it's online since Dec/25.

I built Collider, A wrap-based package and dependency manager for Meson.

I needed a way to use and push my own artifacts in Meson projects. WrapDB is fine for upstream deps, but I wanted to publish my packages and depend on them with proper versioning and a lockfile, without hand-editing wrap files.

Collider builds on Meson’s wrap system: you declare deps in collider.json, run collider lock for reproducible installs, and push your projects as wraps to a local or HTTP repo. It’s compatible with WrapDB, so existing workflows still work: you just get a clear way to use and push your own stuff. Apache-2.0.

https://collider.ee

Mostly art projects:

- VR version of Surface Browser (3d internet browser): https://boxc.net/surfacebrowser.html

- Crowd Strike: faster self-driving: an exhibition where the visitors help autonomous drones target a different visitor each minute with lasers

and also Wingman: a dating app secretary (privacy focus, runs locally on your computer for any dating app that has a web site. It tells you if favourites have messaged you): https://boxc.net/wingman_app.png I'll open source this one if interest.

Making my own epub reader with the kitchen sink of features I'd like. It's a speed-reading app first and foremost, using RSVP (rapid serial visual presentation, one word at a time). Also answers questions about the book with an LLM without spoilers, and can create illustrations. I've been reading _Mercy of the Gods_ lately, which has vivid descriptions of a bunch of alien races, but the pictures have done a great job supplementing my imagination. I've read more books in the past month than the last year, but we'll see if I keep it up.

https://github.com/achatham/epub_speedread

I've written and I'm now polishing and refining a tool for on-set data management for small to medium scale productions. I do Data Wrangling on the side and one of the hardest things to do is keep track of drives, backup jobs, and link them all together whilst knowing where everything is stored, who has what, how much data you have left, how much data you're going to use on the next scene given it's filmed on camera X using Y settings, and so on.

It's written in Golang and acts as a simple desktop app that creates a web server and then opens the site in your default browser. This way it's easily multi-platform and can also be hosted as a SaaS for larger production houses.

Agentic code construction has broken traditional models for code review - the volume is just too high for humans to keep up with.

There are some good tools out there for automating pr review; IMO, they don't catch enough, and they catch it too late.

I've been experimenting with some ideas about a very opinionated AI code reviewer, one that makes an ideal tradeoff between cost and immediacy (eg, how soon after composition does the code get feedback).

Currently in an invite-only alpha, but check out the landing page and lmk if you'd like to be a trial user!

https://getcaliper.dev/

I am working on a free node based solids modeller perfect for 3d printing, carpentry or hobbyists. Its roughly similar to Rhino/Grasshopper. I call it Nodillo!

Check out this twisty vase demo: https://nodillo3d.com/s/VmP0nJdKRcPazQ1g

You can also share you files and create sharable configurations as well. Here is the same vase as a configurator: https://nodillo3d.com/v/a9REIEZIDYGtzZRA

I would like to do a more detailed intro class to help people learn how to model with nodes.

Hope you enjoy it!

https://gitlab.com/usecaliper/caliper-python-sdk

An LLM observability SDK that let's you store pre and post request metadata with every call in as lightweight an SDK as possible.

Stores to S3 in batched JSON files, so can easily plug into existing tooling like DuckDB for analysis.

It's designed to answer questions like; "how do different user tiers of my services rate this two different models and three different systems prompts?". You can capture all the information required to answer this in the SDK and do some queries over the data to get the answers.

A "universal" format validator whose goal is to validate every byte of as many of the most common file formats as possible (I'm up to about 190, to varying degrees of coverage; turns out many formats don't have checksums, and some formats' parsing won't break on corrupt data)

https://github.com/pmarreck/validate

Written in Zig, it has a C FFI and a CLI for mac/windows/linux.

The purpose of this is to feed into a different project I'm working on that is for-pay.

Continue improving my Chinese-character spelling game: https://store.steampowered.com/app/4218330/WordJoy/

Been working on Petrichor - native macOS music player [1]

This has been my side project for nearly a year, and I also shared it here in HN when it was in alpha [2] and received a ton of feedback (and stars on GitHub).

The project has evolved quite a bit since then, like having additional file format support, lyrics, Last.fm scrobbling, and more!

[1] https://github.com/kushalpandya/Petrichor

[2] https://news.ycombinator.com/item?id=44515266

I am working on creating an Even Driven Architecture framework for Kotlin.

I went through the Software Architecture Patterns for Serverless Systems book, which I think it is fantastic. I learned a lot but I still had a lot of doubts to actually use the ideas in real life. So I started dissecting the companion framework, which is in written in Typescript. I have been going piece by piece and converting to Kotlin which I think it is more expressive (and fun) and it is allowing me to understand how everything fits together.

Typescript framework: https://github.com/jgilbert01/aws-lambda-stream

Working on Fairvisor — a tool for API governance and usage control.

The problem: one buggy integration, scraper, or infinite retry loop can suddenly explode your API costs or overload infrastructure before anyone notices.

Fairvisor acts as a guardrail in front of your API:

per-tenant and per-route rate limits

request budgets and soft/hard caps

anomaly alerts for sudden spikes

The edge component is open source (OpenResty / Nginx + Lua) and the SaaS part provides policy management and audit.

Still early, validating whether teams would use something like this instead of building internal scripts.

https://github.com/fairvisor/edge

Building wireless (LTE-based) sensors for most major horticultural sensing needs. Measurements include:

- CO2. Side note: I was surprised to find that most (all?) CO2 sensors used in closed plant production setups are not meant to operate below 400 ppm.

- Air temperature, pressure, relative humidity

- Photosynthetically Active Radiation (PAR)

- Addons like: wind speed, wind direction, soil moisture and Electrical Conductivity (EC)

- The coolest and most challenging: pH, EC, and flow rate

The hardest part has been running everything on battery while maintaining accuracy and using LTE (2–4G) and not common LPWAN options like LoRa. I'm primarily a software guy, so the learning curve has been huge.

* Reconstructing `$HOME/git` after an unfortunate `rclone sync` wiped it. It was not fun discovering that my backup was on the wrong `git` directory and also that I'd not committed some stuff for ... years. Lesson learned, etc. * Implementing three new bot ideas. * Trying desperately to stay out of the "we must vibecode!" juggernaut's path at work. * Wasting hours having to manually download Every. Single. Model. from my MyMiniFactory library because they don't provide an API, a bulk download, or a sync to something like Dropbox. (1500 down, about 4000 to go!)

usm.tools https://usm.tools/public/landing/ - platform that allows defining services (the organizational kind) as data, allowing different stakeholders differemt views on them. For instance somebody participating in a service delivery can see how they contribute to it

Arch Asxent https://github.com/mikko-ahonen/arch-ascent - tool for analyzing large microservice networks with hundres of microservices and creating architectural vision for them, and steps to reach the vision

We've been building Doodledapp, a visual node-graph editor for Solidity (Ethereum). It's been really exciting to work on something genuinely interesting.

https://doodledapp.com/

I wanted a real native app (iOS/macOS) as a client for my agents and to be able to truly control / mange them from it. So, think Claude Code remote but not just Claude and a proper native app. Or the Codex app but actually native.

The server is a rust binary so you can toss it on any container/computer and connect to it in the app.

My philosophy isn't to replace my other tools I love like emacs, ghostty, etc. But I am taking a stab at "real time code review" and have some crummy magit-like code review built in that I need to revisit.

https://github.com/Robdel12/OrbitDock

AST-based code modifications from LLMs: https://codeplusequalsai.com/

I'm interested in the idea that LLMs writing raw code and doing line-or-diff replacements will not be the future, but that having the LLMs modify the structure of the code may end up being the best.

Also, I think that building LLM-powered webapps should earn the dev per token call; so I've built a margin into token costs where the end user is charged 2x the provider's token costs, and then I get 20% of the remaining and the dev gets 80%.

I’ve been working on an open source tool that turns your Kubernetes into a Heroku like PaaS — https://canine.sh — for about two years

A problem that we had at my last startup was that we got stuck between not wanting to spend too much time on devops, and getting price gouged by Heroku.

We were too big for the deploy to a VPS type options like coolify, but too small to justify hiring a full time Devops.

Eventually a few of us had to just suck it up and learn Kubernetes properly. Was pleasantly surprised how elegant it all was.

I was surprised there wasn’t something that “just worked” and plugged into our Kubernetes cluster, made it user friendly, teams, roles, etc.

I'm working on a project for deploying containerized workloads across your own servers, but with great dx from starting on a $5 server to migrating/scaling to 200 servers (no downtime required for any migrations). think coolify, but with railway dx and no single server limitations.

there's no control plane, each node is equal and eventually consistant and its (so far) end to end rust so a very minimal footprint per node.

I’m working on a small deployment tool called push2start[1]. The goal is to make Docker Compose apps easier to deploy from a laptop to a remote server without a lot of custom scripts. Right now, I’m trying to keep Compose as the source of truth and avoid creating another mini orchestrator. You point it at a compose file, it transfers only the images that need to come from local, then deploys and gives status, logs, and restart controls from one CLI.

[1]https://github.com/kwakubiney/push2start

Working on chain of custody for financial transactions!

Our first offering is OrderProof which records Shopify transaction evidence and generates PDF to help merchants streamline chargeback disputes.

https://turboops.io/products/orderproof

----

more about the problem here:

https://www.linkedin.com/pulse/you-losing-shopify-chargeback...

too many things in flight!

inspired by the karpathy/twitter posts on running (semi) autonomous research loops, I build https://github.com/tnguyen21/labrat to be able to try and replicate some paper results over night. still early stages but I'm getting some use out of it already.

also spending a lot of time thinking about how you "close the loop" on software projects. right now figuring out how you can combine static analysis + review heuristics to let LLMs course correct the codebase when they over-engineer or produced unwieldy abstractions.

I've been working on my local server mocking tool Decoy: https://decoy-app.com/

I've built it earlier and also did a Show HN, now I am going through some of the steps that get recommended to me such as creating Product Hunt launches, etc. But I am struggling a bit with the concept of PH. What is the audience? People into new apps? It all feels a bit desperate to be honest and this app is just a hobby side project, I am not.

So if anyone knows of a good way to get some attention to my useful fun tool, please let me know.

Got mad at a electronics shop chain contradictory requirements, when preparing a product description html for my company's product. Built a very simple HTML linter.

As of now You can specify those validators on a tags of your choice:

- Run a regex against a attribute's value/text node

- Min/max length a attribute

- Make a attribute required/blacklist it

- Make a whitelist/blacklist of allowed values for a attribute

https://github.com/worldwidepaniel/ruley-linter

When I discovered that some local llama.cpp can OCR PDF images generated by TeX, I started to revisit literate programming defined by Donald Knuth and explore using PDF as the source of truth artifact (instead of Markdown or program source code itself) for LLM to consume.

I only got to the point of having code and data as \verbatim in \LaTeX. Next step is CWEB.

Here is an example (with C and Rust code in \verbatim)

https://ontouchstart.github.io/rabbit-holes/llm_rabbit_hole_...

The ultimate goal is machine and human readable proofs on algorithms.

https://i.imgur.com/mTyjQXs.png I am still building the "make money app" for some difficult users. :) Last update was calendar integration, everything besides the invoice is a sandbox, kind of like the Unix philosophy of pipes, lots of standalone apps. You are welcome to have a look at https://peterretief.org/ demo demo123 (Not accepting any new users atm, still too raw)

I am working on https://baolib.org.

Applications on the public cloud raise strong concerns about data protection. As an architect, I spend a meaningful part of my time ensuring the security of customers’ data in the cloud.

Bao introduces an innovative approach where data remains on local devices while the cloud provides encrypted storage for synchronization and peer exchange. Because cloud providers cannot access the data, the need for due diligence is reduced.

Any feedback is welcome.

Nonograms! I built Nonodle[1], a daily nonogram puzzle game and I’m adding an option to access these puzzles from Nonoverse[2], my iOS nonogram app.

There is an API, and it’s a straightforward task, but one thing led to another and I’m also improving the app UI. The update will take some time but I hope it will only be better.

[1]: https://lab174.com/nonodle/

[2]: https://apps.apple.com/app/nonoverse-nonogram-puzzles/id6748...

Selecto, an elixir SQL query library that works with or without Ecto. Also SelectoComponents which gives you a web interface to build queries.

It is based on 20+ years of experience maintaining a similar system in Perl.

It's on Hex.pm already, looking for people to test and comment!

As Codex would say:

Selecto is an open-source SQL query builder for Elixir that helps you generate complex queries from clean, domain-based configs. It supports advanced joins, CTEs, subqueries, and analytics-friendly patterns, with companion packages for LiveView interfaces (selecto_components) and code generation (selecto_mix). If your app is data-heavy, Selecto gives you SQL-level power without brittle hand-written query strings.

Just vibe coded a calendar based group meeting app. A group of friends create a calendar and share the link, can coordinate in the chat, and in a calendar choose the day and time to meet. Everybody votes and that's it. All this in a nice brutalist web design. And no registering needed.

https://meetday.net/

I’m working on uvmap.ai A browser tool for editing 3D model textures directly from the model view instead of bouncing between a UV map, an image editor, and an AI tool. You load a glTF, click the part you want to change, it uses SAM3 to mask that region, then sends it to Nano Banana and puts the result back onto the texture. Still early, but the goal is to make texture iteration much less tedious.

Soon here: https://github.com/RefactorHQ/UVMapAI

Delving on to personalized software again now that AI agents code it for me with little hand holding.

Instead of building scrips here and there I'm attempting my own everything app. Lets see if that's a good idea :).

Starting with android home screen and widget sync to server/desktop. So e.g. calendar notifications happen desktop first, then escalate to mobile etc. Also phone as mousepad (for using my projector from bed). Just feature creeping it all in without regrets so far.

In general I feel like feature creep needs to be reevaluated. UX must not be destroyed, but features cost less now.

NotifyButton - A simple script on the frontend of your site, a complete SaaS platform on the backend for DSA compliance.

If you operate in the EU and want to avoid heavy fines, this is for you. Once integrated, it allows users to report legal content issues directly to you, which you can then manage via a dedicated dashboard following official EU procedures. Without such a system, users are much more likely to file complaints through official state or EU channels, which can trigger investigations.

https://notifybutton.com/

Building ConvoLens [1] - app to explore the content of video interviews from YouTube channels I like (such as Dwarkesh Patel's): research by keyword, RAG, visualization of discussed topics with a 2D projection, semantic graph, and the possibility to generate a new video or audio from a playlist of video segments.

Supports only YouTube as the data source, and Gemini 3.1 Flash Lite for processing, but it can easily be tweaked. Runs locally with Docker compose.

[1] https://github.com/didmar/convolens

I’ve been working on the last months on Leggen (https://github.com/elisiariocouto/leggen), a self hosted personal banking account management system. It started out as a CLI that syncs your bank account transactions and balances, saves them in a sqlite database and can alert you via Telegram or Discord if a transaction matches a filter. It is now a PWA and uses Enable Banking to connect to the bank accounts (it is free for personal use AFAIK). Started hand-made, it is now mostly vibe coded with supervision.

ChatShell (https://github.com/chatshellapp/chatshell-desktop) — open-source desktop AI agent built with Tauri 2 + Rust. Ships with 9 built-in tools (web search, bash, file read/write, grep, etc.) so the AI can take real actions from the first conversation. No plugins, no config. Supports 40+ providers, MCP with OAuth, and a skills system. Apache 2.0.

Today working on adding chat history search (FTS5) and OpenRouter Nano Banana 2 support.

I’ve been working on an RSS reader for macOS and iOS - https://gmnz.xyz/projects/ember-feed/

It has gained a little traction in Reddit and grateful for the several paying users currently giving me lots of feedback. One of the features is that you get to import your own font using any otf, ttf files. App is 100% native too written in SwiftUI, AppKit and UIKit.

I just wanted my own interpretation of an RSS Reader app, I have been a heavy user of both Reeder and NNW but the interface is just the same and I got bored a lot.

I was using Wisper Flow and had a pretty bad experience with their support related to billing and so I started building my own version of a speech to text app, it's very doable with Parakeet and Whisper models available now. I've got the app working on mac and it's been so much easier to make progress on it with AI available now.

I'm not sure I'll be putting it out there because it feels like there's already 100s of these apps out there so I don't feel strongly about it.

Me and Claude have been working on zfetch (https://github.com/roobie/zfetch), which is a single static binary that fetches URLs over HTTPS with strict security defaults. For many applications, it should be able to replace curl in restricted environments where you need a small, auditable tool with no runtime dependencies.

It should also be usable as a Zig library for embedding HTTP(S) fetches in your own programs.

Vendors and links BoringSSL

https://fitcal.app syncs Strava activities to your Google calendar. No fancy features, just does what it says on the tin. Really fun to build out with elixir + phoenix.

When training I like to have every day mapped out with how many miles to run, at what pace, etc as an event in my calendar. My actual workout gets uploaded into Garmin and Strava, but I always wanted it back in the calendar so I could see at a glance the consistency over time. It's been really fun to see other people use and get value out of something I built for myself.

Working on...

- Portable Secret (https://alcazarsec.github.io/portable-secret/) - self-contained HTML files that decrypt in the browser.

- Dead Man's Switch (https://alcazarsec.com/deadmanswitch) - sends messages when you stop checking in.

- Flare (https://alcazarsec.com/) - silent alert when your device is accessed without authorization.

Working on an all in one "platform" that runs multiple different checks on a website/domain. Got sick of having to run different checks in different places to ensure everything is at it should be - SSL, HTML, SEO, redirects etc.

Extended the checking to monitoring and change detection/alerting. You can try for free at https://www.augsentric.com - built for my own needs, but made it for others if there's interest... feedback welcome

I've joined this year's Flame Game Jam which uses the Flame Engine built on top of Flutter. This is my first game jam and I really hope I manage to submit the game before the deadline on Sunday.

Here's a link to the jam if anyone else is interested, and I recommend joining the Discord server too because the organizers and participants are really great and fun to hang around! - https://itch.io/jam/flame-game-jam-2026

Working on a chat app/server and protocol builder to support it, in an attempt to use as little network as possible (e.g. dial-up should work fine).

It's heavily supported by Claude Code, but much fun.

https://superchat.win/

Actually not built on this yet I think, but I could switch over, haven't made anything more of it since it's still a bit rough around the edges, and I keep finding various issues during actual usage: https://binschema.net/

I'm still trucking away on Digital Carrot (https://www.digitalcarrot.app/)

It's a cross platform productivity app that lets you block apps, websites and games until you reach a set of verifiable goals such as walking 10,000 steps, physically going to the gym or finishing all your tasks on your to-do list.

I just finished the Android version a few weeks ago!

A friend and I are building Sheet Ninja (https://sheetninja.io).

It turns your Google Sheet into a live API.

We know the "Sheet to API" space is a little crowded, but we've always wanted to get better at distribution, marketing, and growth hacking. We needed a real product as a sandbox to learn, so we built a tool that we'd use ourselves.

There's a free tier. I'd love to hear any feedback on the product (or our marketing efforts!). Thank you!

RateRudder: https://raterudder.com

I've been working on a solution to automate solar+battery use to arbitrage the market. I'm on a real-time utility plan but even if you're on TOU it can save you $1+ per day by strategically planning when to use the battery and when to conserve or charge the battery. So far it's limited to a few providers and only FranklinWH batteries but I'm eagerly looking for someone to help me get Powerwall support working and other ESS. It's open-source on GitHub as well.

Recently built https://entrycast.com/ - there are other products kind of like it on the market already but I had some specific use cases I wanted personally, and decided rather than making it just for me, I'd for the first time in my life make it something others could buy too. No customers so far, but I don't really mind, to be honest!

We recently started home renovation and needed a todo app to keep up with the tasks. I noticed that the existing todo apps are annoying to use and lacking a good ai integration. So I started vibe coding my own app. Fully offline capable and with ai integration at its core.

I run it at https://ferdig.de

1. flopper.io - a resource to find AI infrastructure benchmarks and soon - compare providers. Reach out if you're a provider!

2. boulderinglist.com - a catalog of climbing gyms across the world

3. livedsupport.com - AI driven support for colorectal issues

4. radiusing.uk - find where people are willing to do something to improve the social fabric of where they live

5. llmstxt.studio - AI-SEO via sitemaps, llms.txt, and AI search

6. probe.bike - tell stories with your cycling data

need to find a way to get more sleep

I’ve been consumed by building https://emberdb.com https://github.com/kacy/ember over the last few months.

It’s a drop-in replacement for Redis written in Rust. Most if not all of your client code should work without issues. Outperforms in many areas and has more out of the box features like proto storage, raft/swim, and encryption at rest.

I’m pretty proud of it, and I hope you’ll give it a shot and open bug reports. :)

Ive been running with this little ongoing project of making little nintendo ds games with rust.

I put together a pretty basic portal clone. I think its pretty cool to see it come together, animations, level creation, portal jumps.

The basic hardware on the ds makes 3d pretty approachable. Ive found opengl overwhelming in the past. It seems like a fun platform to make games on, but idk if there is any active ds homebrew communities. Anyway sharing because i thought it was cool, hard to find anyone that seems to be to interested. I thought about getting a 3ds but they are surprisingly expensive now

I'm doing crystal bindings for pipewire and wayland clients. It is nice to be able to do so much with so little. github / yxhuvud / [pipewire_cr | wayland_client]

For over a year now, I’ve been working on Compute Prices (https://computeprices.com).

It’s been a great way for me to better understand the cloud GPU industry, learn about data collection, normalization and use agentic coding to build a side project.

One thing I’m working on is distinguishing spot vs on demand prices and listing those separately. Also, including inference pricing for non-text AI models.

What features or data would you like to see me add next?

https://pagewatch.ai/ - make sure LLM's can understand your site.

There is a surprising amount of edge cases that can cause ChatGPT or others to misunderstand your pages. Some models can handle div based tables, some want alt tags but cannot understand title tags, etc.

I built the tool to check your site as close as possible to what a human would see and then compare it with LLM's.

It was a weird journey trying to tease this info out of the models, they will happily lie, skip checking sites or just make things up.

I’m working on WC Price Hostory, a plugin that handles price tracking and Omnibus Directive compliance for WooCommerce.

It’s been available as a free tool for years, growing to over 45k active installs. I just rolled out the Pro extension to offer more advanced features, and the early traction has exceeded my expectations. If you're running e-commerce in Europe, this is a must-have for staying compliant with EU law.

https://wcpricehistory.com/

Writing the release announcement for FreeBSD 14.4! The release is ready (aside from propagating to mirrors and clouds) but I have until 2026-03-10 00:00 UTC to get the announcement email ready to go out.

A bunch of things:

Jive Data: https://jivedata.com

Financial and Investing data

Random Data Monster: https://randomdata.monster

Random Data (also available as a Google Sheets Add-on)

WhatIsMyIPAddress.Monster: https://whatismyipaddress.monster

A clean website to get your IP Address. Also available as an API.

Phone Monster: https://phone.monster

Caller ID, but on steroids

Data extraction: https://simplescraper.io

A project that I launched on HN that became a business. Simplescraper rode the no-code wave of a few years back ('instant structured data without parsing html').

Now working on increasing the surface area for AI agents: MCP support, screenshots API, and (experimentally) x402[1]

[1] https://simplescraper.io/blog/x402-payment-protocol/

3D AI Modeling software intended for 3D printers.

https://grandpacad.com

Originally I made it for my grandpa, but I got a lot of interest so I made it into a full commercial product.

Just yesterday I published a set of 3 mini tutorials if you want to see how it works - https://youtube.com/playlist?list=PLKt1F5TvOjAHE07oBDlPXcrHc...

We have been homeschooling our kids. Homeschooling in India is not that widespread. So when a national newspaper covered our experiment, I got lot of questions around what we were doing. For a while I wrote blog posts answering them.

Now I've written quite a few posts (and given talks), I thought of writing a book. Just wrote two chapters. The draft lives here: https://www.jjude.com/books/hs/

https://approximated.app

It makes connecting user domains to your app easy and reliable at any scale. Each Approximated user gets the own globally distributed, managed cluster of servers with its own dedicated IPv4 address. Includes (unlimited) edge rule features, DDoS protection, webhooks, and more. Make a simple API call, tell the user to point an A record at the IP, and it’s connected to your app with its own SSL certificates.

Built/building with elixir and phoenix, which has been fantastic.

A solo gamedev project; upgrading my free Skyrim mods; thinking about learning vibe-coding for the little "web 2.0" side-project idea of old, seems could be fun to squeeze it in.

I finally, after a couple of years off, picked up work on a Standard Ebooks[1] edition of The Book of the Thousand Nights and a Night. I made a new years’ promise to myself to get it as done as possible by the end of the year. If it doesn’t happen I’m not going to be too hard on myself though, given the 5K endnotes and 1.5M overall word count. But we’ll see!

[1] https://standardebooks.org/

Built GhostDance — overlay any TikTok dance as a ghost on your camera to practice in real time.

Been learning dance moves from TikTok but hated the pause/rewind loop on my phone. So I built a web app that overlays the original dancer as a translucent ghost directly on your camera feed.

Upload any video → ghost appears → you follow → record yourself → export. No install, works on mobile browser.

https://ghostdance.app/

Feedback will be much appreciated!

I'm working on building a co-pilot that will help chip engineers (VLSI) build chips faster. The process to build a chip is quite different from a software lifecycle and we want to fix that gap using agents that will act as a bridge the reasoning provided by claude and the traditional chip design eco system. https://www.archgen.tech/index.html

Happy March everyone,

I am working on Entangle, https://entangle.cloud something for me to learn and play with LLMs and AI.

It is not ground breaking but let your website to have an AI chat bot / agent with minimal integration effort. Also was a good way for me to learn how to keep things safe, prevent prompt injection etc.

Looking for feedback and feel free to give it a try, happy to try it with your project documentation or developer docs.

We're automating low-volume PCB assembly in the US!

https://pikkoloassembly.com/

Completely automating the difficult problem of json parsing and normalization in cloud data warehouses. https://forge.foxtrotcommunications.net/

Today engineers spend dozens of hours agonizing over how to unlock the vast analytical possibilities of JSON data in their warehouse. The internet is littered with half solutions and broken promises. Today, we have solved this problem.

I am working on two small apps for my dungeons & dragons group. We're playing inperson and I really like to give them printed out cards for magic items they receive and also for spells, because they are quite new to the game.

So I build these two app to create items and spell cards and print them out.

https://www.item-forge.org/

https://www.spell-forge.org/

I've been working on a Ontario open data MCP: https://github.com/sprine/ontario-data-mcp

There is a wealth of data that's behind CSVs and other data formats. This uses DuckDB as a common (local) database to cache and run queries against, and enables going across datasets for insights using LLMs.

A macOS screen recording CLI application that can record: screen, mic(s), camera(s), system audio, iPhone/iPad screen. You can select different tracks with their own options (video encoding, audio encoding, filename, combine camera with mic for example or even screen + system audio + mic). It also tracks clicks, scroll, keyboard and generates closed captions automatically at the end. Now I'm working on adding 1-2 more features and an MVP is done.

Finishing up the last touches to release: https://getkatari.app/ my japanese immersion app

Also working on https://www.kinoko.sh/. An agentic engineering platform built from the ground up for agents. Custom language and architecture and a layer of formal verification on top. Also working on a custom inference engine that produces well typed programs

Goofy sideprojects:

https://dnsisbeautiful.com - clean, ad free dns lookup tool.

https://evvl.ai - combination of Github Gists and AI output comparisons (evals)

https://finalfinalreallyfinaluntitleddocumentv3.com/ - free mac app to intelligently rename any kind of file (photos, videos, audio, text) based upon their contents.

Working on https://github.com/codeadict/gen_http a low level HTTP client library for Erlang that full featured clients can build on top of. Erlang's default HTTP client httpc is great but has a lot of process overhead, consumes memory and doesn't support HTTP2. This is heavily inspired by Mint in Elixir

Started vibe coding a more modern Telnet client for 68k Macintosh systems running System 6 last week, and within a couple of days have a fully working terminal emulator with VT100, VT220, xterm, glyph/emoji support, and dark/light mode.

- https://github.com/ecliptik/flynn

It's mainly for me to use but is entirely functional an real hardware.

An alternative to Oracle's VBCS Plugin for Excel [1]

Oracle's plugin allows you access Fusion REST Endpoints (your business data) from within an Excel workbook but it only works on Windows machines and has some other limitations.

Also added a plugin for inspecting punchout payloads for RSSP [2]

[1] https://vbcs-alt.com/

[2] https://vbcs-alt.com/inspect_punchout/

It's a personal project, but inspired by OpenClaw (which I find way overhyped), I am building an ambient intelligence layer for investment finance including a 3-tiered memory architecture, sensors (for environment scanning), skills, reasoning agents, and a new agentic UI concept only for that purpose.

I wrote about it here: https://jdsemrau.substack.com/p/pair-programming-superbill-w...

I've been building high-bandwidth memory streaming interfaces for HBM on VCK5000 & U280 FPGAs in my own language - "SUS".

The goal is to get consistent synthesis to 450MHz such that I can use a narrower 256-bit instead of a 512-bit interface, while maintaining full bandwidth. I've got it working at an FMax ranging 440-490MHz, though there's still some edge cases I need to hammer out.

https://github.com/pc2/sus-xrt

Last week I wrote the spec for a couple of vanilla JS https://danielgormly.github.io/primavera-ui/dnd/ that I've handwritten in the past. I used the spec to vibecode them + a few follow-up correction prompts. Honestly the robot did a better job of implementation than I would have. Just can't compete with the speed.

Very early days but will keep updating them & adding more.

I'm thinking about how to maximize the speed, bandwidth of collaboration with agents and teams to get to shared context as fast as possible. I think for the human, based on biology, its visual into to the human (out from agent) and voice out of the human (into the agent). Based on this, we are working on a local, agent-native workspace where you can collaborate with your coding agent visually in your sessions, markdown, mockups, code, tasks, etc... Called Nimbalyst. Would love feedback on it.

Working on a software trial automation infra.

While working on another project, I needed a very simple service I could setup in a few clicks, which would take my docker compose and manage the spin up and tear down of ephemeral VM automatically when triggered by a signup on my landing page.

I couldn't find anything real simple, so I decided to build it. Currently working on it.

https://trialbox.io

Any feedback will be much appreciated.

Completed:

- http://sharpee.net : Text Adventure authoring platform in Typescript

- https://github.com/ChicagoDave/tsf : A multi-target npm build tool

- https://devarch.ai : Claude Code guardrail workflow including hooks, agents, and skills

In progress:

- unnamed project to disrupt commercial site hosting including a new marketplace

I’m working on a tool to automate manual document workflows, specifically for industries like manufacturing where accounting paperwork is still a manual burden.

The workflow: Upload doc → LLM extracts structured data → Generate new doc from template.

It’s API-first, includes webhooks, and is built to be self-hosted/self-provisioned for privacy. Still very much a WIP, but looking for feedback on the feature set and the extraction accuracy.

URL: https://fetchtext.io

I am building npm for LLM Models, you can now install run and ship AI Models.

It’s a CLI tool that makes open-source LLMs installable like packages.

llmpm install llama3

llmpm run llama3

You can also package models with your projects so others can reproduce the same setup easily.

Website: https://llmpm.co

GitHub: https://github.com/llmpm/llmpm-dev

I'm making alternative client software for Bluesky. In part because I think the default client is a bit messy and embodies a few legacy UX decisions that clean sheet implementation could improve upon.

I have a bigger idea, too: I have a theory that a lot of enterprise group productivity software is really a species of social media. ATProto is an interesting basis for software that organizes workflows that incorporate agents.

I started working on Rio[0], a modern TypeScript HTTP client for Node.js 24+, Deno and Bun. It's built on the native `fetch` API and fully type-safe from request to response. It's still very much a work in progress but I'm working towards an alternative to fetch/Axios/ky I wish I had.

[0] https://github.com/carlos-menezes/rio

Recently two selfhosted open source file sharing platforms archived their repos indicating no further updates (most recently https://github.com/kyantech/Palmr).

I wanted an opportunity to learn more Svelte so I created Enlace which has a Go backend and Svelte frontend.

It's nearly complete but I would love any assistance with testing.

I’m building an application for documenting modular patches, mostly for my own use case. It uses ML to recognise the patch points, knobs and toggles from a photo of the front panel. You can then build racks from the scanned modules and then store presets of the knobs and connections which are displayed as simple schematics. Idea is ultimately to have it on an iPad as reference to accompany a live performance. Had some fun fine tuning the cable physics engine.

Got delayed on my 8th anniversary release of Video Hub App - hoping to get it out in March / April. I have some bug fixes and new features in my app for browsing and organizing video files across local and network drives.

https://videohubapp.com/ & https://github.com/whyboris/Video-Hub-App

https://hobbybot.net

I'm trying to see how far I can get using AI to help me track pre-owned items for sale, starting with watches. I started with an OpenClaw agent that was looking for specific things I wanted to buy, and then I figured might as well make a whole site for it so I can share with others.

I’m working on a new word game, called Wordtrak:

https://wordtrak.com

(Sign up and I’ll send out beta codes tomorrow!)

I’ve had a few friends call it “fun”, and one said it’s “Scrabble that doesn’t drag”.

Working on some social media shareable replays you can post after matches tonight, thanks to Remotion:

https://x.com/qrush/status/2030849966105559104?s=20

Experimenting with: https://github.com/chocks/locode Local-first AI coding CLI. Routes simple tasks to a local LLM and complex tasks to Claude.

also just posted a Show HN thread: https://news.ycombinator.com/item?id=47310543

I'm working on an alternative solution to Ansible and Puppet, trying to mix the best of both world: The pull-based aspect of Puppet, by having an agent running on nodes, and the simplicity of Ansible, by writing playbooks and roles.

It's called Peekl, and is available on Github. Tho it's still in what I'd called "alpha". Lot of new features to come!

https://peekl.dev

I am working on Kastanj. It aims to make cooking as foolproof as it can get. Anyone should be able to cook any recipe and get it right on the first try. Clear step by step images and instructions for everything etc.

It also features a recipe manager with family/friends sync. This makes it possible to upload your grandmother’s cookbook and share them with your whole family.

https://kastanj.ch/

My friends and I would often sit in pubs trying to guess the top 10 most streamed songs for a musician so I had a go at turning it into a browser game.

https://topsongs.io/

Had a lot of fun doing it and it's more user friendly than trying to read off lists from stream aggregators online that have a lot of ads etc.

First ever go at something like this so any feedback is appreciated!

I'm working on Colorguesser.xyz - a game to check how good your color sense is.

EasyAnalytica.com It lets you view all your dashboards in one place. Dashboard creation is a 3 step away, point to a file, confirm ds, choose template and done. Supports csv/json files, locl/remote url, Google sheets and api's with bearer auth.

i have also started experimenting with qwen3.5 0.8B model, my goal is to create agents with small models that are as robust as their commercial counterparts for specialized tasks. currently trying it for file editing.

I just launched bookcall.io publicly last week. Think calendly that treats your scheduling page more like a sales funnel. Very important if one call can make you a bunch of money. Page builder, brand assets, videos, documents etc. attachable. Forms, video calls, everything included.

Also launching a supabase security scanner. If someone wants a free scan hit me up. Includes POCs and verification before and after remidiation. Goodbye false positives.

Still working on my network monitoring tool.

Since last time, added a "landing-page" kind of website [0], added annotations with BGP events, support for IPv6, and finishing TLS for every communication between probes and central servers.

About to open for beta testers, and still very much interested in comments esp. regarding the UI.

[0]: https://www.cloudywithachanceoflatency.net/

Cakedesk: Fast & simple invoicing app for small businesses (Windows & Mac).

Been working on this for about 4 years. It has some cool features, like letting you create your own PDF templates with HTML/CSS. Most users love that it's so simple and just a one-time purchase.

Currently thinking about how to implement an Obsidian-style cloud sync feature since that gets requested a lot.

https://cakedesk.app

https://struktur.sh

An all-in-one tool for structured data extraction with LLMs.

$ struktur extract —input doc.pdf —schema schema.json —model openai/gpt-5

- can prepare documents (PDF->text etc.) - run multiple different extraction strategies - runs a full agent loop for data extraction in-process using Pi agent and just-bash.dev. It can grep through large files for example.

I write quite a bit about books and papers I read. This ranges from contemporary work on privacy and machine learning to math, economics, and philosophy from the nineteenth century.

Several readers have asked for an easy way to get recommendations without working through long-form review articles.

Here's the first iteration of a simple recommender: https://bcmullins.github.io/reading/

https://citellm.com

Building CiteLLM, an API that extracts structured data from PDFs and returns exact source locations for every field.

There's also a widget so you can add click-to-verify to your own app in a few lines of code.

Click any value, jump straight to the highlighted source in the PDF.

Demo: https://citellm.com/demo

I'm building DB Pro, a better database client.

I just released support for dashboards. I've kept a devlog for the past 6 months.

https://youtu.be/EEA73e6MH1c

And the biggest update is coming soon, DB Pro Cloud, which will let you connect to and manage any database through your browser as well as collaborate with your team.

Imagine Postman but for databases.

https://dbpro.app

I'm working on https://www.wirewiki.com.

A browsable map of internet infrastructure. Not just a collection of lookup tools, but it also interlinks results, so you can navigate linked assets as well. Think: DNS lookup -> SPF record -> mail provider's SPF record -> IP address details.

Deep link now ( https://Deeplinknow.com ) - deferred deep linking for developers / people who dont want their links blocked by adockers because Branch/Appsflyer et al are actually under-the-hood cross platform ad tracking services.

I do no tracking, no analytics, just help you cross the airgap between web and mobile app so you can send users to the right place (and track them however you deem necessary)

I am building an AI generated podcast..which creates a fun, informative podcast on news stories impacting the Indian stock market.

One podcast a day

Here it is: https://www.youtube.com/@FoliyoAI

I started working on an "anti-habituation" motivational reminder app:

https://appreciate.srid.ca/

https://github.com/srid/Appreciate

(Note: Only the macOS version is tested extensively at the moment)

I just became a father and feel like it could be helpful if I have an app tracking my son's status. He has premature birth and we're all very worried about him.

I don't want my son's data to be sent to any 3rd party so I vibe coded: https://apps.apple.com/us/app/bebilog/id6759827652

https://www.carnyx.ai

Multitrack field recorder with automatic cloud sync for iPhone. I use it for hi-fi recording of band practice and sharing demos with bandmates/collaborators. Great way to send stems too as it runs on the Mac as well and has a built in mixer. There's a social graph so you can send someone a session by typing in their handle and granting access.

i'm working on my startup, krnel.ai!

i don't have much free time, but it's important to me to have healthy side projects, so here's what i'm working on:

- rsyncthing: A command-line CLI that lets users quickly bootstrap Syncthing fileshares to new hosts over SSH. No more "introduce devices to each other" song-and-dance.

- stringlines: i'm working on a small app for my own personal use that will help me plan transit in the NYC area better. A lot of map apps (Apple, Google, Transit, Citymapper) don't show recently-departed trips, making them much less useful for judging the feasibility of tight connections on the NJTransit rail lines. So I'm building out some infrastructure to record the GTFS-RT feeds and display them in a mobile-friendly format.

- slowly playing through all 70 the quake brutalist jam III maps to learn more about level design.

Most of these side projects are claude-free for now, mostly because I want to build domain expertise for myself before involving the agent tooling.

https://www.riotiq.com -> An AI model to predict human IQ with 90% accuracy. Our research team first needed to build the only ever professional online IQ test to collect the massive amount of raw data needed to train a model. We are starting model training now:

For about a year I've been working on Mu - an app for everything without ads, algorithms or exploits. https://mu.xyz

Blog, news, chat, video, mail, web. Basically all the daily habits as little micro apps in one thing. I find it quite useful. Not sure anyone else does yet though.

Also separately worked on Reminder.dev which is a Quran app and API that bakes in LLM based search and motivational reminders.

Building a cheaper alternative to Twilio Voice Intelligence. Record phone calls, transcribe, generate AI summaries, enable semantic search over transcripts — $0.30/hour vs Twilio's $1.50/hour.

Stack is 15+ Go microservices on k3s. Cross-lingual semantic search is fun. Spanish query returns English calls with no translation code.

https://audiotext.live/

"Does a launch make any impact if there's no audience?"

We've found most early-stage startups ignore social media until after a launch. Things like “$0 spent on ads” sound cool, but they don’t help if no one knows your product exists.

I'm building Appents to provide a done-for-you social media solution for startups.

Would love feedback: https://appents.com/

I'm building a human-curated map that organizes people and sources by topics (health, skills, business, mindset, etc.). Everything is categorized manually, no AI classification. Started as spreadsheets and now turning it into a prototype.

I was interested in the idea of generating vector graphics with simple scripting language. The "simple" did not happen, but... I launched https://scriptdraw.com and I have lots of fun with it. My goal is to make the language much simpler than it actually is and then create a lot of generators (for example, gears!).

Currently moving Carolina Cloud to Kubernetes. I had built a custom orchestrator but really want the freedom of pod movement as well as KubeVirt's live migration capabilities. My ultimate plan is to open a second location in South Carolina at a cheaper colocation and then drain the nodes one by one, moving them to there, and leave my prior colocation. Kubernetes will make this possible.

I just launched Kyaraben, it's an alternative to EmuDeck that autoconfigures Syncthing for your devices.

For those not in in that niche, the goal is to set up a Linux desktop or Steam Deck for retro (and not so retro) video game emulation, so you just drop in your ROMs, open a frontend via Steam, and play your games.

https://kyaraben.org

A not-yet-released iOS mental health app

A free tower defense game - https://vectordefensegame.com/game

A free Xpilot-adjacent game - https://vectordefensegame.com/yeetpilot/lobby

I've been working on an MQTT Broker/Topic tree explorer. It's intended to help someone understand what kinds of data are moving through their broker, what the busiest data is, and just generally be pretty. https://ryanbateman.github.io/mqtt_vis/

OSS, MIT licensed. Feedback welcomed!

Our family is enjoying Flip7 card game lately and was playing almost every day. Created an app to make it more fun and engaging by creating an app to manage the daily score and to make it a weekly, monthly competition for leaderboard. https://flip7battle.com/. Only available in apple store for now. It was fun to create and use this app.

I made a SmallTalk inspired collaborative development environment for writing web components - https://playground.now.

A "world" is a locally stored CRDT that contains the source code and data you store.

The home page, login and world editing experience is all built from within itself.

I've been writing interactive math and computer science articles at https://growingswe.com/blog. The past few months, I have been obsessed with interactive learning experiences and currently building https://math.growingswe.com for learning probability.