01 · Roasts
280 PRs, 0 Audience
You opened 280 PRs this year and have exactly 0 followers to show for it. Every single one was a conversation with yourself—impressive solo theatre, but GitHub is a team sport.
The Heatmap Cliffhanger
Weeks 1–35 of your heatmap are a barren tundra of zeros. Then weeks 41–52 go full scorched-earth. Your commit history reads like someone just discovered deadlines exist.
Tests Are Also a Product
authSDK has SAML, TOTP, brute-force protection, and webhook retries—but WhatIsAroundMe, Custom-RAG-Pipeline, orbital-sweep, and the template repo collectively have zero tests. You'll architect a signing-key rotation before writing a single assert.
91 MB of Vibes
orbital-sweep is a 91 MB Three.js game with 2 years of commits, 0 stars, no license, no CI, and no types. That's a lot of polygon math for a repo that technically doesn't legally exist yet.
Portfolio Inception
You built a portfolio site (chintakjoshi) to show off your projects, then built go-llm-chatbot specifically to power it, then built authSDK to auth into it. At some point the scaffolding became the skyscraper.
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% weight68C
- Consistency20% weight65C
- Quality20% weight72B
- Depth15% weight65C
- Breadth10% weight80A
- Community10% weight40D
03 · Stats
365-day commit heatmap
124 active days
Language distribution
- Python28%
- JavaScript22%
- CSS18%
- TypeScript14%
- SCSS8%
- HTML5%
- Other5%
04 · Numbers
Owned repos
non-fork
32
Commits
last 12 months
650
Followers
0
Joined GitHub
Sep 2022
05 · Top repos
chintakjoshi /
TWA-OSS
Multi-portal workforce platform (FastAPI + React) for justice-involved jobseeker matching with employers. Fully typed, documented, tested, and CI/CD ready with comprehensive architecture across backend (SQLAlchemy, Alembic), three frontend portals, and shared auth library.
chintakjoshi /
go-llm-chatbot
Production-ready Go/Gin chatbot backend with dual LLM providers, JWT auth, guardrails, and structured logging. Well-architected personal portfolio project with tests and comprehensive documentation.
chintakjoshi /
authSDK
Multi-service auth platform with FastAPI service, reusable Python SDK, comprehensive docs, tested CI/CD, and typed code. Active development with 0 stars but well-engineered production-ready foundation.
chintakjoshi /
Custom-RAG-Pipeline-with-Neural-Retrieval
A complete neural RAG pipeline with BM25, bi-encoder, cross-encoder, ColBERT, distillation, and Ollama generation. Typed Python, well-structured multi-stage architecture, comprehensive docs in README, FastAPI serving, and MLflow tracking. No tests or CI evident, created 17 days ago with 17 commits.
chintakjoshi /
fullstack-app-template-for-authSDK-service
Well-documented full-stack template (React+FastAPI+authSDK) demonstrating browser-session auth flows. Typed TypeScript and Python, structured multi-service layout (frontend/, protected-api/), Docker Compose setup, but no tests, CI, or production adoption signals.
chintakjoshi /
manuscriptly
Fictional agentic writing workspace prototype (Flask + React) with agent tool-calling loop, SSE streaming, and content generation. Typed backend, documented, CI tested, but zero adoption signal and explicitly prototype/fictional.
chintakjoshi /
WhatIsAroundMe
Personal location-discovery app (React Native + Node.js) with integrated Google Places API. TypeScript typed, well-documented README, proper folder structure, but no tests/CI and 0 stars—early-stage portfolio project.
chintakjoshi /
sync-playlist
Personal hobby project integrating Spotify and YouTube Music playlists via Go backend + Next.js frontend with OAuth, token encryption, and rate limiting. 2 stars, low adoption, but represents substantial non-trivial work.
chintakjoshi /
chintakjoshi
Personal portfolio/about-me web app in TypeScript with 103KB codebase, CI present but no tests, minimal README, no external adoption signals or named product positioning.
chintakjoshi /
orbital-sweep
Learning-focused 3D game built with Three.js and gl-matrix. Demonstrates sustained development (27/30 recent commits, April 2024–March 2026) and architectural scope (91 MB codebase) but lacks tests, CI, type safety, and advanced documentation.
06 · Timeline
- Sep 7, 2022Joined GitHub
- May 4, 2023Created chintakjoshi — This is a (GET TO KNOW ME) web app.
- May 25, 2023Created TWA-OSS — The TWA is an initiative at Saint Louis University aimed at supporting individuals at risk of incarceration to lead productive lives without returning to prison. TWA specifically f
- Apr 23, 2024Created orbital-sweep — A browser and mobile friendly 3D game where you collect orbital debris in space, built to learn Three.js and gl-matrix.
- Oct 9, 2025Created go-llm-chatbot — A secure, prod-ready service built with Go and Gin that powers an AI-driven personal portfolio chatbot. The service enables conversational interactions about my skills, projects
- Nov 4, 2025Created sync-playlist — Playlist Tracker allows users to transfer and sync playlists across multiple music platforms including YouTube Music, Spotify, Apple Music, and Amazon Music.
- Nov 20, 2025Created WhatIsAroundMe — A location-based discovery app that helps users find interesting places near their current location. The app display's nearby points of interest on an interactive map and in a sear
- Feb 9, 2026Created manuscriptly — This is a fictional prototype of a content writing agent
- Feb 20, 2026Created authSDK — This AuthSDK functions as a SDK that supports integration with multiple services.
- Mar 18, 2026Created Custom-RAG-Pipeline-with-Neural-Retrieval — A RAG system that replaces standard BM25/FAISS retrieval with a fully learned neural retrieval stack - including a fine-tuned bi-encoder, a cross-encoder reranker, ColBERT-style la
- Mar 20, 2026Created fullstack-app-template-for-authSDK-service — This is a template repository for testing authSDK service. Please find the link attached for the authSDK repo.
- May 16, 2026Most recent push to authSDK
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.