01 · Roasts
Security Fire Hazard
root-ry ships with 'rootry_dev_secret_change_in_prod' hardcoded in main.go:18. You literally named it 'change in prod' and then… didn't change it in prod.
The Flow-Mind Cinematic Universe
Three separate repos — flow-mind, flow-mind2, flow-mind-liquidity — all doing the same FinTech dashboard, all with 0 stars, no tests, and no backend. Pick a lane and finish the movie.
monolith.html Defender
Stellar-Atlas packs ~2000 lines of Three.js, MediaPipe, and Gaia star data into a single index.html. That's not a file, that's a hostage situation.
Test-Free Zone
10 out of 11 repos have zero tests. The one exception (d-ai) has exactly 2 test cases in test_analyzer.py. Your CI/CD pipeline is vibes and prayer.
Sprint God, Sustain Nobody
30 commits in 4 days on d-ai, 20 commits in 2 days on teenvestor, 8-day burst on root-ry. You ship hard then ghost. Your heatmap is 39 weeks of zeros followed by chaos.
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% weight48D
- Consistency20% weight65C
- Quality20% weight57D
- Depth15% weight58D
- Breadth10% weight65C
- Community10% weight25F
03 · Stats
365-day commit heatmap
25 active days
Language distribution
- HTML65%
- JavaScript18%
- CSS10%
- Go4%
- Python3%
- Dockerfile0%
04 · Numbers
Owned repos
non-fork
11
Commits
last 12 months
194
Followers
1
Joined GitHub
Apr 2026
05 · Top repos
diawx-6669 /
d-ai
Multi-service AI website auditor (Go/Python/React) with functional auth, crawling, and Gemini integration. Working project with tests and clear structure, but no CI, no license despite README claim, and early stage (4 days old, 30 commits).
diawx-6669 /
easydoc-ai
Streamlit-based legal document generator supporting 3 languages (Russian, English, Kazakh) with Word export via python-docx. Experimental indie project with working baseline, no tests/CI/types, dev container setup included.
diawx-6669 /
Bayan-Syly
Educational gaming web app with mini-games, shop system, and progress tracking in HTML/CSS/JS. No tests, CI, or license. 2.7 MB codebase with structured project docs and 30 recent commits over 50 days, but vanilla front-end only architecture.
diawx-6669 /
Stellar-Atlas
Single-file HTML5/Three.js visualization of Gaia DR3 star data with gesture control via MediaPipe. Minimal commits (4 of last 30), no tests, CI, or license. Works but lacks structured architecture and production-readiness.
diawx-6669 /
flow-mind2
Early-stage SPA prototype for financial liquidity monitoring. Russian-language dashboard with hardcoded mockdata, localStorage session mgmt, and planned API fallbacks. 54KB HTML/JS/CSS, no tests, no CI, no license. Architectural vision documented in README but implementation is experimental with no backend yet.
diawx-6669 /
teenvestor
New educational gamified finance platform for youth with React frontend, Supabase auth, and i18n (RU/KZ/EN). 247 KB codebase, 20 commits in 2 days, unpolished MVP lacking tests, CI, license, and .gitignore. README exists but lacks technical depth.
diawx-6669 /
flow-mind-liquidity
Early-stage educational FinTech dashboard prototype in plain JavaScript with modular architecture. 0 stars, 26 KB, 9 commits over ~1 month. Has README but no tests, CI, license, or code visibility for assessment.
diawx-6669 /
Bota-ai
Single-file HTML/CSS/JS educational game for Kazakh children with onboarding, voice narration, region map, and parent mode dashboard. Recent activity but minimal codebase, no tests/CI/license, and limited architectural structure.
diawx-6669 /
URBAN-COOLNET
Hackathon-era marketing website for AI urban cooling concept. Single-page landing in JavaScript with i18n support and polished UI. No backend implementation, tests, or CI. Under 7 weeks old with only 3 commits.
diawx-6669 /
flow-mind
Minimal HTML/CSS dashboard prototype (12 KB) with auth and monitoring UI mockups. No tests, CI, or license. Only 3 commits over ~1 month suggests early-stage experimental work with no production evidence.
diawx-6669 /
root-ry
Bare gamified learning backend written in Go with PostgreSQL; no README or CI; minimal testing; abandoned after burst development; appears experimental.
06 · Timeline
- Apr 3, 2026Joined GitHub
- Apr 3, 2026Created easydoc-ai
- May 1, 2026Created Bayan-Syly
- May 5, 2026Created Bota-ai
- May 8, 2026Created Stellar-Atlas
- May 13, 2026Created root-ry — уа
- May 20, 2026Created flow-mind
- May 20, 2026Created flow-mind-liquidity
- May 20, 2026Created flow-mind2
- Jun 13, 2026Created URBAN-COOLNET
- Jun 18, 2026Created teenvestor
- Jun 19, 2026Created d-ai
- Jun 23, 2026Most recent push to d-ai
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.