Washipad
A simple, analog-style sticky note wall
What it does
The tactile, analog sticky-note wall for Mac and iOS. Jot down quick thoughts, peel fresh pastel sheets, and arrange them with tape on a calming paper wall—zero cloud, 100% local.
Washi — a small family of paper-simple apps. Washidoc, a fast PDF editor. Washipad, a sticky-note wall.
Washi is a small family of paper-simple apps — one for getting things done , one for thinking out loud. washi·doc also runs in your browser — nothing to install, and the editing still happens on your own machine. The browser app is part of the subscription . A fast, native document editor. Edit the real text — not just sticky annotations — sign, redact, and ship. Download it and fix your PDFs. No account, no ads, no trial clock — on iPhone, iPad and Android. A simple sticky-note wall. Jot a thought, peel a fresh sheet, arrange it on the wall. Completely free. The whole app — there is no Pro tier and nothing to buy. It was a different PDF app, and honestly a good one. Then they shipped an…from washipad.com
Does the same job
all alternatives →
More work this month
the category →
The app store for voice native apps that lives in your notch
Work · 28d ago · voiceos.com
The New Calendly▲211Handle all of the work before, during, and after meetings
Work · 17d ago · calendly.com
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