Parenthesis
Your notes, your API keys, your local drive.
What it does
Parenthesis is a note-taking app for your Mac. Write plain text notes, see them connected in a visual graph, and add AI only if you want it - with your own key.
Parenthesis is a note-taking app for your Mac. Write plain text notes, see them connected in a visual graph, and add AI only if you want it — with your own key.
Parenthesis is a note-taking app that stays out of your way. Write in simple, plain-text formatting, turn it into tables and a visual map of your ideas, and add AI only when you want it — using your own key. Your notes live in a folder on your computer, not ours. A clean, uncluttered screen that puts your writing front and center. We cut out anything that gets in the way, so what's left is a fast, focused space for writing and thinking. Type using plain markdown formatting and watch it turn into a nicely formatted page right beside it, as you type. Since every note is just a text file, you can open it in any other app too. See how your notes link up to each other in a visual map. Spot…from parenthesis-notes.vercel.app
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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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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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