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  • Melbourne, Australia
  • 09:06 (UTC +11:00)

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Achievement: YOLOAchievement: Pull Shark

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Achievement: YOLOAchievement: Pull Shark

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urav06/README.md

Hey πŸ‘‹

I'm Urav. I build things with code.

πŸ“Œ Featured Commit

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: 2026-02-01

Entropy

Commit: srbhr/Resume-Matcher by @srbhr Β· 1a86ec8

Message: "Merge pull request #651 from srbhr/fix/i18n-zh-missing-upload-dialog-keys

fix(i18n): add missing upload dialog keys for zh.json"

Review: Adding missing i18n keys is a noble pursuit, if somewhat unglamorous. It's a standard chore that keeps the international users from staring blankly at placeholder text. The fact that 'successMissingId' existed without its translated brethren for so long suggests either deep faith in the backend or a momentary lapse of frontend consideration.

Chaos: 8% Β· Mood: #ADD8E6

What is this?

The Pipeline:

  1. A GitHub Action runs daily and picks a commit (my own β†’ network β†’ starred repos β†’ fallback)
  2. The commit diff is fed to Gemini, which produces a witty critique, a chaos score (0-100), and a mood color
  3. A Lorenz attractor is rendered using these parameters:
    • Chaos score β†’ modulates ρ (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:

Browse the museum β†’ Β· See the code β†’

Pinned Loading

  1. dialectic dialectic Public

    A Rebuttal Engine for Computational Argumentation in Claude Code CLI

    Python 5

  2. research research Public

    The Meta-Learning Gap: Combining Hydra & Quant for Large-Scale Time Series Classification

    Python

  3. career-gradient-descent/content-optimizer career-gradient-descent/content-optimizer Public

    Content engine to minimize the loss function of job applications.

    Jinja 1 1

  4. career-gradient-descent career-gradient-descent Public

    Personal Branding

    TypeScript 1

  5. chess chess Public

    şahmat

    Python 3

  6. blitz-chess blitz-chess Public

    World's Fastest Chess Engine (Coming Soon)

    Rust