Ledge for Mac
A Dynamic Island that gets things done on your Mac
What it does
Turn your Mac's notch into a work shelf. Keep files, screenshots, links, text, windows and meeting audio within reach; then copy, open, AirDrop, beautify or drag them back. Local-first, universal for Apple Silicon and Intel, and free in public beta.
Ledge is a free public-beta Mac notch app that turns the MacBook notch into a Dynamic Island for files, screenshots, links and windows. macOS 14+.
Drop in files, screenshots, links, even windows. Pull them out whenever. The rest of the time, it stays out of your way. Ledge turns the MacBook notch—or the top edge of a notchless Mac—into a temporary file shelf for files, screenshots, links, text and windows. Free public beta. On first launch, macOS may ask you to confirm opening it in System Settings → Privacy & Security. Drag files, screenshots, links or text to the top of the screen. Regular files stay at their original paths; clipboard and generated images can be kept as local Ledge-managed copies. Drop a screenshot onto the Beautify zone — it comes back wrapped in an aurora gradient with rounded corners and a soft shadow, straight…from ledgeformac.github.io
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Launched alongside, August 2026
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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.
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