Planckstar
3D Notes taking
What it does
Your ideas deserve more than a list. PlanckStar is a 3D workspace where position is content. Instead of stacking everything into pages, folders, and endless tabs, place your ideas exactly where you want them. Create notes, checklists, and milestones in space, then attach images, PDFs, and 3D models directly to them. Think of it as a canvas for your thoughts but with structure. And when you’re ready, publish your workspace and share it with the world (literally).
A 3D Notes editor where position is content. Place every milestone yourself; keep notes, checklists, files and models inside them.
A three dimensional workspace for plans. Place each milestone by hand, stack them into layers, and keep the notes, checklists, files and models inside the milestone they belong to. Create a milestone and drag it wherever it belongs. Move it, move it again, rearrange the whole thing as many times as you need. Nothing rearranges itself behind you, and the workspace never runs out of room. Height is how you switch between categories. Each layer is a section of your information, and you can isolate one to find what you are looking for without losing the rest. 20 layers to divide your structure however it makes sense to you. Open one and it becomes a note, a checklist, or a place to keep files:…from planckstar.com
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AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.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 · 17d ago · simedw.com