Outsmart Notes
The fastest notepad on the internet. Zero tracking
What it does
Outsmart Notes — the fastest, most complete online notepad. Sub-second cold boot with zero framework bloat. Native IndexedDB storage handles massive notes without lag. Zero-knowledge 256-bit AES-GCM encryption keeps shared notes private — even from us. Pro unlocks a password-locked vault, bi-directional wiki links & backlinks, and smart reminders for real PKM power. Off-thread Web Worker keeps typing smooth at 60fps. Export to 7 formats instantly. Install as a 100% offline PWA.
The fastest online notepad on the internet. Sub-second load, instant auto-save to IndexedDB, live word count, markdown preview, zero-knowledge encryption, and offline PWA.
Write freely with zero distractions, zero tracking, and complete privacy. All notes are saved asynchronously to your browser's local IndexedDB. This note is protected with 256-bit AES-GCM encryption. Enter your master vault password to unlock and view its content. No incoming references yet. Link to this note in other notes using [[ Note Title ]] . Engineered for speed, privacy, and productivity. Zero virtual-DOM overhead, native IndexedDB persistence, Web Worker offloading, zero-knowledge encryption, and powerful Pro PKM tools. Built with high-performance vanilla JS without bloated single-page framework overhead. Loads instantly and is ready to type in under 1 second with 60 FPS…from outsmartnotes.com
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Life & fun · 10d ago · louisabraham.github.io
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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.
AI · 17d ago · simedw.com