01 · Roasts
87% Jupyter, 0% Production
Your language breakdown is 87% Jupyter Notebook. That's not a language distribution, that's a homework submission queue. Even your 'ML system' repos are essentially executed essays.
Sprint God, CI Atheist
Not a single repo across 8 analyzed has a CI pipeline. Zero. You've shipped state machines, LLM agents, and RBAC systems but apparently draw the line at a 5-line GitHub Actions YAML.
genyx-poc: World Record Auth Service
You built a JWT+OAuth service in 39 minutes flat and called it a day. The repo was born and abandoned before most people finish their morning coffee. 27KB of ambition.
0 Followers, 16 PRs, All Solo
soloPct=100% means every one of those 16 PRs this year was you talking to yourself. You've mastered the art of the one-person code review. Deeply committed to the echo chamber.
Scratch_that_Code: Commitment Issues
Scratch_that_Code was initialized in literally 1 second and never touched again. At least name it honestly — 'scratch_that_idea.md' would have been more accurate.
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% weight62C
- Depth15% weight58D
- Breadth10% weight55D
- Community10% weight25F
03 · Stats
365-day commit heatmap
93 active days
Language distribution
- Jupyter Notebook87%
- JavaScript8%
- TypeScript2%
- CSS1%
- Python1%
- HTML1%
04 · Numbers
Owned repos
non-fork
31
Commits
last 12 months
360
Followers
0
Joined GitHub
Oct 2024
05 · Top repos
Himanshu197200 /
Smart_Garage_Seva
TypeScript automotive service platform with state machine job workflow, role-based access (Admin/Mechanic/Customer), predictive maintenance via strategy pattern, and React/Express full-stack. 30 commits across ~2.5 months, 2445 KB codebase, comprehensive documentation but no CI/CD.
Himanshu197200 /
AI_Health_Risk_System
End-semester healthcare ML project combining 5 regression models with Streamlit dashboard, agentic LLM reporting, and PDF export. Typed Python, structured src/ layout, comprehensive README with live deployment, but no CI, no license, and minimal test coverage (3 unit tests).
Himanshu197200 /
Turing_BroCodes_Student-Mental-Health-and-Burnout
Student mental health data analysis project with 1M-row dataset, Tableau dashboards, and structured documentation (design.md, ARCHITECTURE.md). Academic capstone (Newton School) with 30 commits in 2 days, no tests/CI, untyped Jupyter notebooks.
Himanshu197200 /
Data_Table_for_AI_Dashboard
Fresh React + Vite + Tailwind dashboard for tabular data display. Untyped JavaScript with good component structure (custom hooks, modular components), documented README, and ESLint setup—but no tests, CI, or type safety. Experimental personal project, 1 day old.
Himanshu197200 /
CLI_TOOL_PROJECT
TypeScript CLI tool with ~17 command implementations using Commander.js and OOP patterns. No tests, CI, or license; created and last pushed same day (2026-03-04). Instructional personal project with basic math and API integrations.
Himanshu197200 /
genyx-poc
Early-stage TypeScript auth service POC with JWT+OAuth routes, minimal docs, no tests/CI. Created and pushed same day (2 of 30 recent commits). Typed + structured but thin documentation and single-week sprint scope.
Himanshu197200 /
streamlit-html-demo
Empty scaffold with 6KB of code, no README, no tests, no CI, created and last pushed same day. Appears to be a one-off experimental dump.
Himanshu197200 /
Scratch_that_Code
Empty scaffold repo created moments ago with minimal README and no code. Zero stars, no commits beyond initial, and unknown language indicate this is a placeholder project.
06 · Timeline
- Oct 11, 2024Joined GitHub
- Feb 15, 2026Created AI_Health_Risk_System
- Feb 18, 2026Created Smart_Garage_Seva
- Feb 26, 2026Created Scratch_that_Code
- Feb 27, 2026Created Data_Table_for_AI_Dashboard
- Mar 4, 2026Created CLI_TOOL_PROJECT
- Apr 7, 2026Created streamlit-html-demo
- Apr 27, 2026Created Turing_BroCodes_Student-Mental-Health-and-Burnout
- May 19, 2026Created genyx-poc
- May 19, 2026Most recent push to genyx-poc
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.