Recent models have been a big step up on graphics generation. Not exactly sure why, it would be neat if they would release any quantity of technical blogs.

Did you get the raw js artifacts to continue working, or making "sequels" - or just the video file?

Does the js stuff render real-time?

Did you get script/dialog and voice settings (again, for making other films in same series/theme) - or just the rendered audio?

This is so different from the OP's site. This is so much better, trying it out now.

AI doing things that creative people do makes me sad. Stole everyone's art to regurgitate it on command to billionaires richer, and save businesses the expensive of hiring someone with actual talent to do it.

I don't care how "good" the graphics become - it will always just be slop. This isn't the part of our lives we should be trying to replace with technology.

I've been struggling with that.

I built https://gallotails.com/ because I am a cocktail enthusiast. First commit, March 6th 2019. One of the features I am proud is which cocktails you can build based on your ingredients, and I was smart, the bar ignores garnishes and can suggest cocktails you're one ingredient away. But you have to add the ingredients. And interpret the bar screen.

And here's what I did with ChatGPT a few days ago: https://chatgpt.com/share/6ab59877-4b74-83e8-8da5-966d9f3a38...

Clicked the microphone icon and rambled for a few seconds (could have just taken a picture too I guess). Nudged ChatGPT to only give me simple cocktails I can stir instead of using a mixer. Said I could buy a lime, sure. Then asked how to keep the ginger beer fresh.

There is NO WAY I can code all of that in my little gallotails.com - a single chat window has entirely replaced my site. And that's my pet little project I do it on weekends, mostly to keep my tech skills sharp. I can only imagine what the biggest cocktails website, actual companies, are going / will go through once more and more people just realize the chat tab is enough. And I am not talking about purely content, ChatGPT can do everything my site does, and more, into any direction, in an instant.

Which left me with the question, then what should my site be? Community? To be taken over by agents?

Currently munching on what sites like mine should do, and what they should be.

Many of us have the exact same thought process. Related: I have heard indie game developers have stopped the traditional practice of updating a dev log as a form of marketing and community building because people will point their LLm at it and create your own game before you do

Here’s an easy proxy: Did you feel the need to build it because nothing to your liking existed? Did it take some effort to build? Do others feel the need to use your thing for those reasons?

Then it’s sufficiently non-obvious. I believe there’s still a pretty big field of things that fall into this category. Making proper things is a lot more than writing some code.

> Like many of us, I've been hobbying away on some SaaS that wraps an LLM. But I often worry, isn't this just adding buttons to an LLM call?

> That's why I created isitsaas.io: your platform for determining whether your llm wrapper has product potential, or whether people would rather just use claude directly instead. Simply pop in your business idea, and our award winning, proprietary technology will ask claude if you can make money off of it.

> Trial memberships start at $10/month

I don't think "is my SaaS better than others" is the important question, instead "is SaaS going to be valuable in a cheap bespoke software future".

I've been playing with an LLM backed reference checker for my partner who is a lecturer. For each reference in some work she's marking an agent is dispatched to read the referenced source and check that the reference is correct / accurate / not hallucinated.

It's useful to her, but it feels like it would be a waste of effort to turn into a product, because pasting the same document into Claude/ChatGPT with a prompt like "download and read each reference etc" would work pretty much just as well.

I had similar concerns about an AI backed training generation company I interviewed with. I asked how they saw themselves competing with increasingly capable generic harnesses. I don't recall exactly what they said but the impression I got was they were so focused on competing with the big LMS players that they hadn't really considered it.

Making the edge cases work, and lowering the cost of running it via good model choice, context management etc is in some cases really hard. That's valuable in a decent number of cases. I have a system that does something in financial markets - making sure it doesn't screw up, and doesn't cost a fortune to run, is the entire thing for me.

I believe it completely depends on your values and perspective, as a poor analogy: when mobile apps were a novelty a bunch of them were just that, novelties, the beer drinking app, the flicking a Zippo-esque app, and many more that hadn't much functionality, were more a tech demo, cool toys, etc.

If you don't care so much about adding something significant to the world, and your LLM-buttons-wrapper is a novelty, chug along and see where it goes if you're having fun. Looking for what value mean at this moment is a much harder effort, and probably a luck-based endeavour.

I don't have fun creating LLM-wrappers or at least haven't thought of a fun idea for it that could be even a fun novelty to work on so personally I'm not doing it but I'm using LLMs for other fun stuff that required much more of my free time before.

Typically maintenance, reliability, support and liability; nothing new in SaaS land. Lots of companies have the money to hand-roll things that are provided by some external SaaS but would much rather it was someone else’s problem.

Also for creatives, some sort of aesthetic control? Most of the examples on this page look like templates you’d see in an office suite that appear swish, but are ultimately bland.

Even if I could answer your question (which I can't), things change so fast right now that it might not be valid for long. All you can do is be willing to rapidly adapt and stay focused on where your product adds value.

It's not always a call that wraps an llm.

The LLM only does average returns from average inputs.

>Or do my 20 years of saas and business development actually make my SaaS better then others?

Nope. If all your doing is prompting an agent to build stuff (especially if what it is building is based on LLMs), then you might as well take it back to the whiteboard and rethink how you're spending your time/tokens.

You are thinking from the point of view of an engineer, and risk falling into the rsync dropbox fallacy.

Start from thinking about product value add, and user behaviors first.

You could build something really useful, but if I can replicate 95% of that in a weekend with Claude I'm obviously not going to pay you for it.

Some SaaS products have network effects, but that doesn't appy to new software.

Starting a SaaS business in 2026 seems a bit silly to me. Not saying people won't make money, but you'd have to be pretty lucky.

this is why people have been suggesting an AI bubble, outside of the frontier model labs

Agreed. Just yesterday, I recreated the XKCD comic “A Bunch of Rocks” (https://xkcd.com/505/) as a video. It took me about five hours, using ElevenLabs for the audio and a step-by-step process involving brainstorming, planning, storyboarding, and so on. Opus 5.5 has become remarkably capable.

[0] https://simulationcorner.net/A_Bunch_of_Rocks.mp4

I won't open Twitter, but where on Reddit is this stuff posted?

It is kinda funny I am always interested in Anthropic's new releases, but i have a great distaste for their actual release posts/videos. They LOVE these stupid style videos for any feature they release, their text posts are usually just a ton of nonsense that i dont wanna read, and now there is this huge "revelation" that their models can pump this annoying format out.

I say Bummer if more people adopt this style, its gonna become less and less authentic feeling as the months go on now.

HN never fails to be disappointed.

Could you share some examples?

I build something similar as a claude skill but less impressive and complete than yours. https://github.com/splitbrain/ndemo

Ask Claude for instructions to play the video.

>>> records it with ffmpeg

Exactly how? What does ffmpeg record?

Yeh try that. Not that simple at all, this is why servicenow and sales force are just killing it

Looking at the absolute dog shit Ai menus and posters I see everywhere I can guarantee you a good 70% of the population is physically unable to produce good things no matter the tools they have access to. They can't even be bothered to add "make it look good" to their prompt

Right. My first question when I see this type of video is asking for a text write up. What tool is used to create these videos doesn’t change that.

I tried Gemini (3.1 Pro) for creative writing a couple days ago and was absolutely blown away. I have not seen one this good since ChatGPT's initial launch day, before the rounds of lobotomization and RLHF.

I am not super sure what makes it so good, but it seems like it's a good option to try if you have access and want to see how the frontier models are doing.

Maybe this is why Apple chose that family to help train Siri AI. (Siri AI is not a fine-tuned Gemini)

This one's been stuck in my head since yesterday. I just keep thinking about how long this woulda taken in After Effects. So I was experimenting with having Opus 5.5 make these kinda animations in javascript and realized I can get it to export a JSX script for AE. So I can have it take the first swing, then bring it into the tool I actually use.

Curious about the song - the mp3 in the repo is wildly different from the linked YouTube recording?