Plume
No account. No server. Zero outbound requests — verified.
What it does
Private, local-first Android notes with zero outbound requests from app code — verified, not asserted. Color-coded cards, checklists with visible progress, visual Markdown and LaTeX, reminders, and photo/voice attachments. No account, no ads, no server. The few KB Android's data screen shows come from Android's own backup and Play Billing — not telemetry. Free tier is the whole app; Pro is one payment, once.
Private, local-first Android notes with checklists, visual Markdown and LaTeX, reminders, attachments, and encrypted portable backups. No ads, no account, no tracking.
Plume is a local-first visual notes app. Write formatted text and LaTeX, mix tasks with paragraphs, add photos, doodles, and audio, then protect everything with a backup you control—without a Plume account, ads, analytics, or Vigu Labs cloud sync. Every notes app calls itself private. Check the independent tracker scan and the full permission list before you take my word for it. The one-minute tour shows the colorful board, the visual Markdown editor, checklists, attachments, and the private backup flow — everything runs offline on the device. Plenty of notes apps describe themselves as private. Below is what that means for Plume in checkable terms: an independent scan, the full Android…from vigulabs.com
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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