01 · Roasts
Hugo's Shadow Looms Large
You're the creator of a 100k-star project yet your public repos top out at 25 stars on lazycache. Your own GitHub profile is less impressive than your Wikipedia entry. The ocean of impact is entirely off-screen.
README.md > main.go
hugonewproject has a complete design doc, palette system, and... an empty main.go. Congratulations on shipping the most thoroughly documented void in the Go ecosystem.
The 475 PR Speedrun
475 pull requests in a year works out to roughly 1.3 PRs per day, every day, weekends included. Either you've automated your own career or Hugo consumes your entire waking existence. Probably both.
C++ At 54% Is A Cry For Help
Your language breakdown says 54% C++ but your repos are all Go and Hugo sites. That's either one enormous unrevealed C++ project or a stats artifact that raises more questions than it answers.
The Meta-Repo Matryoshka
You have a profile repo (bep) listing gitjoin, a gitjoin.com landing page repo, a mymonorepo config repo managed by gitjoin, and presumably a repo for managing those repos. It's repos all the way down.
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% weight73B
- Consistency20% weight88A
- Quality20% weight77B
- Depth15% weight65C
- Breadth10% weight65C
- Community10% weight80A
03 · Stats
365-day commit heatmap
350 active days
Language distribution
- C++54%
- Go29%
- HTML7%
- JavaScript2%
- CSS2%
- Shell1%
- Other5%
04 · Numbers
Owned repos
non-fork
82
Commits
last 12 months
2,073
Followers
2,462
Joined GitHub
Sep 2010
05 · Top repos
bep /
lazycache
Mature, focused Go library implementing thread-safe LRU cache with non-blocking cache priming. Well-tested (HAS_TESTS=yes), CI/CD via multi-platform GitHub Actions, MIT licensed, typed generics. 25 stars indicates indie SaaS/tool category adoption; repo shows production-ready craftsmanship despite modest reach.
bep /
bep
Profile repo showcasing a prolific developer with 15+ named shipping projects (Hugo, gitjoin, grrep, etc.). Minimal code: 1335 KB templating + CI workflow. This is a portfolio/meta-repo, not a product.
bep /
golocales
Experimental Go locale formatter for CLDR date/number formatting; typed with tests and CI, but early-stage (WIP, 4 commits in 2.5 months) with narrow, purpose-driven API targeting Hugo's internal use.
bep /
hdrsdr.com
Hugo demo site showcasing AVIF/HDR photo comparison with responsive galleries, interactive lightbox, and View Transitions API. Experimental personal project with clean CSS/JS and proper build infrastructure, limited reusability.
bep /
helpers
A utility library of reusable Go helpers (parallelism, slices, maps, concurrency) with full typed code, comprehensive tests, CI, and documentation. Minimal adoption (1 star) but well-crafted for personal/internal reuse.
bep /
hugonewproject
Hugo template scaffolder prototype with detailed design docs and palette system, but core implementation is stub (main.go is empty). Shows intentional design thinking but minimal executable code.
bep /
dockerfiles
Collection of Dockerfiles for personal/team use with minimal adoption (11 stars), basic README, no tests/CI/license. Moderate commit activity but narrow scope and thin documentation.
bep /
mygithelper
Personal automation tool for managing GitHub repos (update Go versions, deps, GitHub Actions). Minimal reach (0 stars, explicitly marked "not generally useful"), but clean typed Go with structured commands and meaningful functionality for its niche use case.
bep /
helpercommands
Minimal Go utility library with 2 stars, sparse README, MIT license, and basic git history. No tests or CI infrastructure; typed language partially mitigates thin documentation.
bep /
gitjoin.com
A Hugo-based landing page for gitjoin.com with minimal documentation and no tests. Single-purpose site with ~94KB codebase, 15 commits in 5 weeks, CSS-only repo advertising a separate Go CLI tool on GitHub.
bep /
grrep.com
Personal website source repository for grrep.com built with Hugo. Minimal scope (64 KB), sparse recent activity (4 commits in 30 days), and no tests or CI. README is bare-bones with just setup instructions.
bep /
mymonorepo
Meta-repository configuration for GitJoin monorepo tool; minimal scaffold with 20KB of text files listing other repositories (gitjoin.txt manifests) and basic documentation. No code, tests, or CI.
06 · Timeline
- Sep 10, 2010Joined GitHub
- Aug 26, 2017Created dockerfiles
- Jul 4, 2020Created bep — Software Developer and Saxophonist from Norway.
- Aug 11, 2022Created helpers — An utils package with a less burdened name.
- Nov 7, 2022Created lazycache — Thread safe in-memory LRU cache with non-blocking cache priming on cache misses.
- Jan 10, 2026Created mygithelper — Some tools to manage my GitHub repos. Not generally useful.
- Jan 31, 2026Created mymonorepo — Repos managed by GitJoin
- Feb 14, 2026Created helpercommands — Just some helpers.
- Mar 4, 2026Created golocales — Work in progress.
- Apr 17, 2026Created gitjoin.com — Source for gitjoin.com.
- Apr 25, 2026Created hugonewproject — Prototyping of a rewamped "hugo new project" command
- May 8, 2026Created grrep.com — Source for grrep.com
- May 15, 2026Created hdrsdr.com — Testing out AVIF (with HDR) support in latest Hugo
- May 27, 2026Most recent push to hdrsdr.com
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.