Stash
A place for your notes
What it does
Stash is a 100% Mac native Markdown notes app. Your files live in ~/Stash (or another folder if you prefer) and you can connect to any Git backend (my files are connected to a private GitHub repo). Notes can be Markdown text or simple tables (CSV or Markdown). Select a file to show its details, Git timeline, and a rich text preview with clickable task items and link details. Open a file to edit it with syntax highlighting, preview and diffs.
Stash is a powerful note-taking application designed for anyone who values their ideas. Whether you're drafting documentation, journaling your thoughts, or organizing research, Stash provides a distraction-free environment that lets you focus on your content. Your notes live in a regular folder on your computer. No proprietary formats, no lock-in, just plain files you can access with any text editor. Sync your notes across devices using any Git backend—GitHub, GitLab, your own server, or even a USB drive. Built with 100% native macOS interface elements. Stash feels like it belongs on your Mac, with familiar keyboard shortcuts and behaviors. Supports plain text, Markdown, CSV, and MDSV…from staunchapps.com
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The app store for voice native apps that lives in your notch
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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 · 16d ago · simedw.com