I'm Urav. I build things with code.
This section auto-updates daily. It features one of my recent commits, or something interesting from my network, or a random gem from the wild. The commit gets roasted by an opinionated AI and rendered as a strange attractor.
Last updated: 2026-01-25
Commit: microsoft/VibeVoice by @MSLDCherryPick Β· e4036e4
Message: "1"
Review: The commit message, '1', perfectly encapsulates the sheer lack of creative effort in documentation commits. Yet, it heralds vLLM support, a genuinely useful performance bump for a speech-to-text model. A good underlying change, wrapped in a lazily packaged announcement.
Chaos: 5% Β· Mood: #00CDFF
What is this?
The Pipeline:
- A GitHub Action runs daily and picks a commit (my own β network β starred repos β fallback)
- The commit diff is fed to Gemini, which produces a witty critique, a chaos score (0-100), and a mood color
- A Lorenz attractor is rendered using these parameters:
- Chaos score β modulates Ο (rho), affecting how chaotic the butterfly looks
- Mood color β tints the gradient from black β color β white
- Commit hash β seeds the initial conditions, so every commit is unique
The Math:
The Lorenz system is a set of differential equations that exhibit deterministic chaos. Small changes in initial conditions produce wildly different trajectories. It's the "butterfly effect", fitting for visualizing commits.
Links: