Shuffle
The fast, open-source Finder alternative for macOS
What it does
Shuffle is a free, open source, GPU-rendered file manager for macOS - a fast, native Finder alternative with dual panes, tabs, a millisecond command palette, terminal mode, live previews, and deep theming. Built in Rust for Apple Silicon.
Shuffle is a small, native macOS file manager that stays instant no matter how big the directory - dual panes, tabs, a millisecond command palette, and deep theming. No Electron, no jank. macOS file managers are either too limited or too slow. Shuffle gives you real tools instead of getting in the way. Drag a tab to the edge to split the window into two side-by-side panes - each with its own tabs, history, and filter - and a draggable divider resizes them. Open as many as you need, smoothly drag to reorder, and drag tabs between panes. Millisecond fuzzy search over your home directory with typo tolerance, live path browsing, and quick commands. An optional command bar to move through the…from shuffleapp.co
Does the same job
all alternatives →More dev tools this month
the category →



Open-source GTM skills for technical founders
Dev tools · 29d ago · gtmcofounder.com

OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
Dev tools · 1d ago · opentrailpaper.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