01 · Roasts
59% Python on a Rust God's Profile
The man who wrote ripgrep (62k stars), memchr, and aho-corasick has 59% of his byte count in Python. Somewhere, a Ferris crab is crying into its claws.
Following: 3
12,258 people follow BurntSushi. He follows 3 back. The GitHub social graph equivalent of returning eye contact with a brief nod before walking away.
Solo 100% of the Time
soloPct=100. Every single commit, alone. ripgrep is used by millions and touched by one person. This isn't open source, it's a benevolent dictatorship with great docs.
44% Repo Graveyard
staleRepoRatio=0.44 — nearly half your 182 repos haven't been touched in 2+ years. The GitHub profile of a person who starts things really well and has excellent taste in abandonment.
notes.git: Barely a Repo
16 KB, 39 stars, CC0, no LICENSE file, no CI. The README literally warns the notes 'lack quality, thought, editing or content.' At least the honesty is production-grade.
Built using
Zoral
Shadows one worker for a week, then takes over their job with zero extra setup. Behaves exactly like the original.
zoral.ai
02 · Category breakdown
- Impact25% weight93S
- Consistency20% weight72B
- Quality20% weight82A
- Depth15% weight80A
- Breadth10% weight65C
- Community10% weight75B
03 · Stats
365-day commit heatmap
258 active days
Language distribution
- Python59%
- Rust26%
- C8%
- Go5%
- C++1%
- Shell0%
- Other1%
04 · Numbers
Owned repos
non-fork
62
Commits
last 12 months
856
Followers
12,258
Joined GitHub
Oct 2010
05 · Top repos
BurntSushi /
ripgrep
ripgrep is a production-grade Rust CLI tool with 62k+ stars, comprehensive docs (GUIDE.md, FAQ.md, ARCHITECTURE.md, STATUS.md), full test suite (CI runs pinned/stable/beta/nightly, PCRE2 variants, multi-arch cross compilation), and extensive feature implementation across 8 well-organized crates.
BurntSushi /
memchr
Production-grade Rust library providing highly optimized SIMD-accelerated string search (memchr, memmem). Multi-year, 1400+ stars, comprehensive CI across x86_64/aarch64/wasm32, extensive fuzz/property testing, and strict unsafe code discipline.
BurntSushi /
aho-corasick
Production-grade Rust Aho-Corasick library with 1.2k stars, comprehensive docs (DESIGN.md, ARCHITECTURE.md), CI/CD via GitHub Actions, typed code, and multi-year development trajectory.
BurntSushi /
jiff
Jiff is a mature, well-architected Rust datetime library with 2,691 stars, comprehensive test coverage, strong CI/CD, and 3,981 KB of typed code. Recently active with design docs and architectural depth. Pre-1.0 stability.
BurntSushi /
toml
Well-maintained TOML parser for Go with 4.9k stars, comprehensive reflect-based encoding/decoding, extensive tests, CI/CD across 3 OSes and Go versions 1.18-1.26, detailed error reporting with position info.
BurntSushi /
quickcheck
BurntSushi/quickcheck is a mature property-based testing library for Rust with strong adoption (2.7k stars), comprehensive Arbitrary implementations, thorough CI, and solid documentation—though it lacks unit tests for the core library.
BurntSushi /
bstr
Well-maintained Rust string library providing byte-string primitives without UTF-8 requirement. Production-ready with extensive Unicode support, comprehensive docs, CI automation, and thoughtful API design for text processing workflows.
BurntSushi /
biff
Biff: a well-engineered Rust CLI for datetime arithmetic, parsing, and RFC 5545 recurrence rules. Strong typing, comprehensive documentation, extensive test suite, and active CI with multi-platform coverage.
BurntSushi /
dotfiles
Personal dotfiles and scripts repository (189 stars) with 6-year trajectory and 30 recent commits; lacks tests/CI but includes README documenting setup methodology and includes bin/setup-home automation script.
BurntSushi /
notes
Collection of personal notes and essays by BurntSushi, minimally curated documentation repo with CC0 licensing. No technical substance, tests, or CI. Sparse recent activity (7 of last 30 commits).
06 · Timeline
- Oct 27, 2010Joined GitHub
- Feb 26, 2013Created toml — TOML parser for Golang with reflection.
- Mar 9, 2014Created quickcheck — Automated property based testing for Rust (with shrinking).
- Jun 11, 2015Created memchr — Optimized string search routines for Rust.
- Jun 11, 2015Created aho-corasick — A fast implementation of Aho-Corasick in Rust.
- Mar 11, 2016Created ripgrep — ripgrep recursively searches directories for a regex pattern while respecting your gitignore
- Feb 11, 2019Created bstr — A string type for Rust that is not required to be valid UTF-8.
- Apr 25, 2020Created dotfiles — My configuration files and personal collection of scripts.
- Oct 14, 2020Created notes — A collection of small notes that aren't appropriate for my blog.
- Feb 17, 2024Created jiff — A datetime library for Rust that encourages you to jump into the pit of success.
- Mar 8, 2025Created biff — A command line tool for datetime arithmetic, parsing, formatting and more.
- Apr 23, 2026Most recent push to jiff
07 · Compare
08 · Rubric
How this score was produced
Overall = Σ (category × weight) + gentle top-end curve
Tier thresholds
▸ How the pipeline works
- 01Scrape.Pull every non-fork repo pushed in the last 90 days, plus your contribution calendar, followers, and language byte counts — straight from GitHub's REST & GraphQL APIs.
- 02Triage.A small model reads every repo's file tree + README and picks the 20 files per repo that actually reveal how you code.
- 03Grade each repo. All repos run in parallel through a fast scoring model that reads the picked files and rates each one independently on Impact, Quality, and Depth — with evidence citations.
- 04Aggregate. A larger reasoning model combines the per-repo scores with server-computed stats (heatmap, commit cadence, language entropy, follower count) to produce the 6-dimension profile score + roasts.
- 05Correct.Deterministic server-side checks enforce anchor-scale floors (e.g. a profile with 2,000+ public commits can't score 30 Consistency) and recompute the final verdict.
~90 seconds per profile, ~$0.25 in compute. Total of ~240 files read across your top-12 repos. One rating per GitHub account per day.
▸ Data sources & caveats
- Heatmap & commit totals: GitHub GraphQL
contributionsCollection— covers the last 365 days, includes private repos when the user has opted in (default). - Language %: byte totals across the top 30 owned non-fork repos.
- Curve: a small upward nudge centered on raw score ≈ 70, capping at 100. Prevents specialists from being unfairly penalised for narrow breadth.
- Anchor corrections: when server-measured signals (e.g. privateWorkLikely, multiRepoVolume, follower count) mandate a minimum category score, the aggregation step enforces it. These are signal-conditional, not identity-based floors.