Kontrib
Your commit history, roasted by AI and ranked against pros
What it does
See how your GitHub commit history stacks up against top open source contributors, with AI feedback grounded in real best-practice docs. Free, no signup.
Kontrib analyzes your GitHub commit history against top open source contributors, scoring message length, conventional commit usage and multiline rate, with AI feedback grounded in real best-practice docs. It needs JavaScript enabled tofrom tinkeryard.xyz
Does a similar job
all alternatives →- QBQuickly browse the history of any GitHub file2019 · githistory.xyz · ▲407
- GW"Git who" – A new CLI tool for industrial-scale Git blaming2025 · github.com · ▲252
I've always wanted a better way to explore the authorship data embedded in a Git commit log. I'm having fun building a CLI tool to do this. It's a bit like the "Contributors" tab on Github that shows you how many commits each contributor has made but much faster and with many more options. If you get a chance to try it out, please let me know. I'd love to hear feedback and suggestions. Thank you!



More dev tools this month
the category →



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 · 2d ago · opentrailpaper.com

Open-source GTM skills for technical founders
Dev tools · 30d ago · gtmcofounder.com

Launched alongside, August 2026
the whole month →- TL
Life & fun · 11d ago · louisabraham.github.io



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