01 · Roasts
API Key Museum
Movix proudly embeds your TMDB token and GROQ API key directly in src/utils/api.js and groqApi.js. Congrats on open-sourcing your credentials alongside your movie app.
Sprint-and-Ghost
CogniMeet-AI: 28 commits in 6 days, then radio silence forever. You ship fast and abandon faster — at least ghost your repos with a README first.
Zero-Star Multiverse
6 named projects, 29 total stars across 87 repos. You're building a parallel universe of AI SaaS tools where the only user is you.
Test? Never Heard of Her
5 of 7 scored repos have no tests at all. asyncflowstate and BudgetBuddy are the lone adults in the room — the rest ship vibes only.
18 Weeks of Silence
Your heatmap is a flatline for the first 18 weeks of the year, then suddenly a burst. Either you were deep in private repos... or just very offline. Stats say privateWorkLikely=false, so.
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% weight56D
- Consistency20% weight65C
- Quality20% weight72B
- Depth15% weight65C
- Breadth10% weight65C
- Community10% weight50D
03 · Stats
365-day commit heatmap
118 active days
Language distribution
- TypeScript62%
- Jupyter Notebook20%
- JavaScript9%
- HTML3%
- SCSS2%
- C++2%
- Other2%
04 · Numbers
Owned repos
non-fork
28
Commits
last 12 months
590
Followers
26
Joined GitHub
Sep 2022
05 · Top repos
devhimanshuu /
asyncflowstate
AsyncFlowState is a well-architected TypeScript orchestration engine for async UI state with comprehensive type safety, structured multi-package layout (~3.5 MB), robust CI/tests, and extensive documentation. Targets multiple frameworks (React, Vue, Svelte, Angular, Solid); 0 stars but shipped as a real, non-trivial pr
devhimanshuu /
CareerForge-AI
TypeScript Next.js AI-driven resume/career platform with 6 specialized LLM agents, Zod-validated structured outputs, Drizzle ORM database, and multi-feature editor. Typed, well-documented, multi-file architecture; no tests or CI, new project (0 external adoption).
devhimanshuu /
BudgetBuddy
TypeScript personal finance app with agentic AI, multi-workspace collab, gamification, and chat integrations. Well-documented, typed, structured codebase with 9.9MB size, HAS_CI and HAS_TESTS, but zero stars/forks indicates early-stage indie project.
devhimanshuu /
CodeSentry
Early-stage Next.js + TypeScript AI code reviewer SaaS using Groq LLM integration. Typed, documented, multi-file architecture with Inngest workflows, but zero stars/forks, incomplete README (boilerplate), no tests or CI, and broken AI service code (ai.ts line truncated mid-function).
devhimanshuu /
Movix
Movix is a feature-rich React movie discovery platform with Redux state management, TMDB API integration, and 12+ interactive features (Moodify, CineBot, GlobeTrotter, Trivia, Comparison). Well-scoped personal project with no license, no tests/CI, and hardcoded API keys exposed in source.
devhimanshuu /
CogniMeet-AI
Experimental Next.js 15 AI video meeting platform with real-time transcript analysis and AI agent integration via Stream, GROQ, and Inngest. Typed, structured, and documented code but no README, tests, or CI.
devhimanshuu /
devhimanshuu
Personal portfolio/resume repo with README profile; no source code, no tests, no CI/license. Pure placeholder with tech stack badges and contact info.
06 · Timeline
- Sep 28, 2022Joined GitHub
- Oct 16, 2023Created devhimanshuu
- Mar 3, 2024Created Movix — Discover and immerse yourself in the world of cinema with Movix. From classic favorites to trending releases, explore a vast library of movies and TV shows. Share recommendations
- Jul 19, 2024Created BudgetBuddy — BudgetBuddy is an Agentic Advanced Personal Finance Tracker AKA Wealth Management Application that helps users manage expenses and savings effectively. Built with modern web techno
- Jan 23, 2026Created asyncflowstate — An AI Powered high-performance orchestration engine for asynchronous UI states. Standardize idle → loading → success → error lifecycles across your entire stack. Built-in protectio
- Apr 7, 2026Created CodeSentry — AI Code Reviewer
- May 2, 2026Created CareerForge-AI — CareerForge AI is a cutting-edge, AI-driven career management platform engineered to help professionals craft stunning, ATS-optimized resumes, track applications, and prepare for i
- Jun 7, 2026Created CogniMeet-AI — CogniMeet AI is an advanced video meetings platform integrating real-time AI capabilities. Built on the modern Next.js 15 stack, it leverages Stream for robust video and chat, GROQ
- Jun 20, 2026Most recent push to CareerForge-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.