01 · Roasts
The Anti-Documenter
7 out of 12 repos have no README. Your bio says 'code is read many more times than it is written' — apparently by no one, because there's nothing to read about what any of it does.
Test? Never Heard of Her
Only bot0, revlimiter, tokenly, and tokenly-app have any tests. The FlexURL.app SaaS — with real payment flows and auth — has zero automated tests. Razorpay in production, pytest in the bin.
Sprint God, Maintenance Ghost
craw: 3-day sprint. tokenly: 3-day sprint. go-code: 1-month experiment. Your heatmap is 15 weeks of silence between bursts — you build fast, then vanish like a senior dev on Friday at 4pm.
Solo 96%
soloPct = 96. 5 external PRs in a year. 17 followers. You've built a cybersecurity newsletter, a SaaS, a crawler, and an auth library entirely in isolation. The internet doesn't know you exist yet.
Type Hint Denier
Python is 39% of your codebase and nearly every repo is flagged TYPED=no. Your bio is a quote about code readability. The irony is doing heavy lifting here.
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% weight62C
- Consistency20% weight65C
- Quality20% weight57D
- Depth15% weight58D
- Breadth10% weight65C
- Community10% weight55D
03 · Stats
365-day commit heatmap
148 active days
Language distribution
- Python39%
- HTML38%
- JavaScript10%
- CSS7%
- TeX3%
- C++2%
- Other1%
04 · Numbers
Owned repos
non-fork
25
Commits
last 12 months
711
Followers
17
Joined GitHub
Jan 2023
05 · Top repos
err0rgod /
bot0
Production-grade async cybersecurity newsletter scraper with LLM pipeline, AWS serverless deployment, typed Python, structured modules, unit tests, and CI—but zero external adoption (0 stars) and unproven indie portfolio context.
err0rgod /
zeroday
Flask-based cybersecurity newsletter platform with AWS integration (S3, DynamoDB, Lambda). Typed, documented, structured codebase; lacks tests and CI. ~1200 KB project with JWT auth, email verification, and RSS generation.
err0rgod /
midanalyzer
Streamlit-based PCAP analyzer with protocol-level packet analysis, threat detection, and geographic IP mapping. Python project with structured utils/ modules and comprehensive documentation (PROJECT_DOCUMENTATION.md), but untyped code and no CI/tests limit production readiness.
err0rgod /
urlshortener
FLexURL.app is a URL shortener SaaS built on FastAPI + PostgreSQL with premium features (custom domains, webhooks, scheduling). Active portfolio project with 30 commits in ~1 month, ~3.7MB codebase, but lacks tests, CI, documentation, typed language, and license—limiting polish.
err0rgod /
tokenly-app
Demo integration-testing app for tokenly-auth library with FastAPI, SQLModel, JWT/refresh token flows, and basic test suite. Untyped Python, no CI, minimal adoption signals (0 stars), but functional and documented.
err0rgod /
tokenly
Early-stage Python authentication utility library with foundational structure: typed with clear API, README+tests+CI present, but only 103KB codebase with 30 commits in 3-day window. Shows craftsmanship and architecture but lacks adoption, maturity, and extended validation.
err0rgod /
craw
Early-stage lead generation web crawler for B2B SaaS prospecting. Untyped Python, no tests/CI, thin docs. Functional but experimental with 30 commits over 3 days (Jul 6-9, 2026).
err0rgod /
revlimiter
Educational rate-limiting library with Token Bucket & Leaky Bucket algorithms. Zero stars, 10 commits in 2 days, type hints, tests, CI, and clean API but minimal real-world adoption or evidence of production use.
err0rgod /
go-code
Learning project: Go file watcher + web server with fsnotify. No README, tests, CI, or license. Simple web server serving frontend and file changes via HTTP endpoints. Early-stage experimental work.
err0rgod /
cpp
Undocumented C++ codebase (3.7 MB) with 30 commits over 8 months, no tests, CI, or README. Appears to be a personal experiment or unfinished project with minimal external utility.
err0rgod /
awesome-resources
Nascent curated resource list with minimal content (156 KB), 3 commits in 1 day, no tests/CI/license. Experimental scaffold-stage project.
err0rgod /
err0rgod
Minimal profile repo with only a profile view counter in README; 30 commits over ~1 year but no source code, tests, typed language, license, or meaningful documentation.
06 · Timeline
- Jan 4, 2023Joined GitHub
- Jun 18, 2025Created err0rgod
- Aug 10, 2025Created midanalyzer — Analyze PCAP files on the go in browser.
- Oct 1, 2025Created cpp
- Mar 17, 2026Created zeroday — Zerodaily is a Newsletter service which provides Daily Security new & CVE updates.
- Mar 25, 2026Created bot0 — Autonomus topic based Content scraper.
- Jun 7, 2026Created tokenly — Hybrid State authentication Library
- Jun 8, 2026Created tokenly-app
- Jun 9, 2026Created urlshortener — CodeBase of FLexURL.app
- Jun 15, 2026Created revlimiter — Python library to implement RateLimit in app seamlessely.
- Jun 18, 2026Created go-code — Learning Golang with advanced mechanisms.
- Jun 25, 2026Created awesome-resources — Curated Learning resources.
- Jul 6, 2026Created craw — Web crawler for lead generation.
- Jul 10, 2026Most recent push to go-code
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.