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: 2026-02-11
Commit: hpcclab/periodic-table by @murtazahr Β· 90233eb
Message: "Make trends consistent with table."
Review: Ah, the crucial 'our heatmap was telling lies' commit. Recalibrating 'Responsiveness' and 'Operational Cost' to actually reflect intuitive system behaviors instead of abstract number trends is a foundational fix. Good on them for correcting the underlying mental model here.
Chaos: 65% Β· Mood: #5A8AD6
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:

