Clipster
Organize your clipboard across Mac, Windows & iPhone
What it does
Clipster is not just clipboard history — organize everything you copy into Pins, find it in a keystroke, and sync it end-to-end encrypted across Mac, Windows & iPhone. Free to start
Clipster remembers everything you copy — text, images, code, files. Search your clipboard history instantly and sync across devices.
Pin it, search it, paste it in a keystroke. Synced and encrypted across Mac, Windows & iPhone. Every text, image, file and link you copy — organized, searchable, always there. Text, code, images, links, colors, files, songs, documents — Clipster recognizes and displays each type beautifully. Everything is encrypted with your master password before syncing. The server only stores unreadable blobs — not even us can see your clipboard. Without your master password, the data is unreadable — even for us. Seamless sync across all your devices. Your clipboard history follows you everywhere, in real time. Create named Pins — Code, Prompts, Colors — and group your Clips into categories. The right…from clipster-app.com
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Launched alongside, August 2026
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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.
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