Despicable
Lovable For Browser Extensions.
What it does
Say what you want your browser to do. Despicable writes the extension, shows it running, and hands you something you can install or publish to the Chrome Web Store.
Say what you want to store. DB-able writes the Postgres migrations, runs them against your own database, and hands you a console to query it.
Describe what you need to store. It writes the migrations, runs them on your own Postgres, and hands you the console. “Studios people can book by the hour, no double bookings.” “Stock that cannot go negative.” “Plans and subscribers, one active each.” One sentence, the way you would say it to a person. The popup renders live and the content script runs against a real page in a sandbox. You see the thing working before anything is installed, and you can keep talking until it is right. Load it into your own browser in two clicks — or send it to the Chrome Web Store with the icons, the manifest and the listing already filled in. Everything below is the real component, running the real code —…from despicable.fulmina.re
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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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