Vessa
The only brand guidelines that move
What it does
Vessa turns your brand guidelines into a live web page. Colors copy to the clipboard when you click them, type specimens render in the real fonts, and every section is choreographed with motion your client can feel instead of reading about. Each guideline ships a brand.json and an MCP server, so your AI tools can read and write the brand. You buy a brand once and it stays yours, with nothing to renew.
Nobody opens the PDF. Vessa puts your brand guidelines at a link where colors copy when you click them and the motion plays in the page.
Vessa turns your brand into a live page you send as a link. Colors copy when you click them, the motion plays right in the page, and Claude or Cursor can build the whole thing with you . You spend six weeks on a brand and then you flatten the whole thing into a PDF, and everyone on the call says it looks great and nobody opens it again. The motion part is worse. A file can't hold it, so it comes down to a written description and the developer builds something else. So the brand shows up at the client already worse than it was, and six months later the site doesn't match the deck and everyone quietly agrees not to mention it. Give it your website, or a few sentences about the brand. It fills…from vessa.design
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Growth · 29d ago · astrapixels.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
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.
AI · 17d ago · simedw.com