Penlog
Handwritten notes that don't die on the page
What it does
Write your day by hand on iPad. Penlog reads your notation, so a task stays a task and carries forward onto tomorrow's page until you cross it off. That part is free. When you want it, your Notion and your AI assistants can read the page and write back.
A handwritten daily journal for iPad. Write by hand. Your tasks carry forward until they
Write your day by hand. Penlog reads your notation, so the task you write stays a task. It carries forward day to day until you cross it off, and everything on the page is searchable by what you wrote. And when you want it to, your Notion and your AI assistants can read the page and write back to it. Pick up your Apple Pencil. Your daily page is waiting — blank, dotted, grid, or lined. Every page is a day, so there's nothing to name and nothing to file. Penlog reads your notation, not just your words. A bullet is a task, a circle is an event, an X is done. No tagging, no cleanup. The task you wrote by hand becomes a real task in Notion. Cross it off with the Pencil and it completes there…from penlog.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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