Runthru – open-source Interactive Demos
I was looking for a tool to create interactive demos / walkthroughs for web based software. I was amazed that many companies charge well over $1000 per month for something pretty basic. I made this which so far works well for me. You can point it at a site and either let AI (byo OpenAI or Anthropic keys) record and polish the whole thing or do it manually yourself (or a mixture of both). Here is an example interactive demo: https://runnit.io/demos/i-want-you-to-create-a-demo-of-from-... Disclaimer: This is a tool which works for me and may work for you, it's not…
What it does
In the maker’s words, at launch
I was looking for a tool to create interactive demos / walkthroughs for web based software. I was amazed that many companies charge well over $1000 per month for something pretty basic. I made this which so far works well for me. You can point it at a site and either let AI (byo OpenAI or Anthropic keys) record and polish the whole thing or do it manually yourself (or a mixture of both). Here is an example interactive demo: https://runnit.io/demos/i-want-you-to-create-a-demo-of-from-... Disclaimer: This is a tool which works for me and may work for you, it's not production grade software, use at your own risk. Extend it, fork it, sell it, it's up to you.
Does the same job
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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