SOBA — Always within reach.
Catch it. Collect it. Act on it. Right from your Mac.
What it does
SOBA is your Mac sidekick for keeping work moving. Drag files to the edge of your screen and SOBA appears instantly. Collect related items into Workspaces, capture anything quickly, come back to things Later, Pin what matters, Share, and use contextual Actions. Back to Source helps you return to where an item came from. SOBA stays out of the way until you need it — fast, lightweight, and Mac-native. One-time purchase. No subscription.
SOBA for macOS — Drop, Later, Pin, Share and act on anything. Always within reach.
SOBA gives you one effortless place to hold something, bring it back later, keep it visible, share it, or act on it — without breaking your flow. SOBA is the temporary place between finding something and deciding what to do with it. Use the same screen-edge gesture whether you are collecting for a Workspace or just need SOBA for something quick. Open Quick Capture from anywhere and bring something into SOBA without breaking your flow. Useful actions change with the content. If there is ambiguity, SOBA asks instead of guessing. This tracking number's format matches more than one carrier. Addresses can open Maps. Phone numbers can call or add to Contacts. JSON can validate or format—all…from sobaformac.com
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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