Yatko
The download button Github forgot to add
What it does
Yatko (yatko.app) turns any public Github repo into clean download links that picks the right release asset for each visitor's OS and architecture. Swap the domain — one click to the right binary.
Yatko (yatko.app) turns github.com/owner/repo into clean download links that pick the right release asset for each visitor's OS and architecture. Swap the domain — one click to the right binary.
Yatko turns any public GitHub repository into a clean download link that picks the right release for each visitor's OS and architecture. We pick the right binary for each visitor's OS and architecture. Same shape as your GitHub URL — swap the domain and it just works. Detects the user's platform and redirects straight to the right binary. Returns JSON with the resolved download URL - for CI pipelines andfrom yatko.app
Pricing, as stated on its site
Free — Yatko is a free service that converts GitHub repositories into clean download links that automatically detect and serve the correct release asset for each visitor's OS and architecture.
checked September 2026 · prices change
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

Lettertrace▲375Track your AI visibility for free (using your own API keys!)
Dev tools · 25d ago · lettertrace.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 9d 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