01 · Roasts
Forks, no fan club
16 total forks are doing the networking while 0 total stars are still waiting for an introduction.
CI cameo
mergathon-dashboard and socials-api-rails know automation; most of the portfolio still treats tests and CI like optional DLC.
Horizontal builder
149 recent commits across repositories says you ship broadly—even if no single repo has become the main character yet.
Typed, then untethered
TypeScript leads at 57%, but multiple polished apps still ship without licenses or test suites.
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% weight59D
- Depth15% weight58D
- Breadth10% weight55D
- Community10% weight55D
03 · Stats
365-day commit heatmap
107 active days
Language distribution
- TypeScript57%
- JavaScript27%
- CSS8%
- HTML4%
- Ruby2%
- Python1%
- Other1%
04 · Numbers
Owned repos
non-fork
25
Commits
last 12 months
260
Followers
22
Joined GitHub
Oct 2023
05 · Top repos
Radhikaa-chauhan /
mergathon-dashboard
A substantial typed Next.js dashboard for CircuitVerse event analytics, with scheduled GitHub aggregation, admin team balancing, interactive leaderboards, and automated Netlify deployment, but no demonstrated adoption beyond 0 stars and 12 forks.
Radhikaa-chauhan /
PingMD
A documented, typed Next.js/Express healthcare app with patient AI triage, doctor/admin portals, MongoDB models, JWT auth, and appointment workflows; it is substantial but lacks tests, CI, licensing, and repository adoption signals.
Radhikaa-chauhan /
socials-api-rails
Deployed Rails JWT social API with documented endpoints, CI security/lint/test jobs, and PostgreSQL models, but adoption is unproven and implementation remains early-stage with placeholder tests and controller/schema inconsistencies.
Radhikaa-chauhan /
Nextin
A polished, typed Next.js staffing landing site with multi-page navigation, SEO metadata, animations, and a lead-capture backend, but no visible adoption, tests, CI, or license.
Radhikaa-chauhan /
Radhika-s-Portfolio
A polished, typed Next.js portfolio with a deployed Vercel demo, animated multi-section UI, GitHub stats integration, and a Nodemailer contact flow; adoption is currently limited to 0 stars and 0 forks.
Radhikaa-chauhan /
neetcode-submissions
A small, actively synced NeetCode C++ submission archive with organized problem folders and a generated README, but no visible tests, CI, license, or evidence of external adoption.
Radhikaa-chauhan /
feedback-engine
A documented Express/Prisma feedback API with dynamic JSON form schemas, validation, uploads, rate limiting, and event summaries; it is a fresh 0-star JavaScript project without tests, CI, or license.
Radhikaa-chauhan /
Radhikaa-chauhan
A maintained GitHub profile/config repository with a polished README and a useful loc_calculator.py utility, but no demonstrated adoption, tests, CI, license, or typed implementation.
Radhikaa-chauhan /
watcher-test-repo
A minimal test repository with only a two-line README, no source files, and no adoption or project infrastructure.
06 · Timeline
- Oct 17, 2023Joined GitHub
- Oct 17, 2023Created Radhikaa-chauhan — Config files for my GitHub profile.
- Mar 21, 2026Created socials-api-rails — A RESTful API built with Ruby on Rails and JWT authentication for a social media platform
- Apr 16, 2026Created Nextin
- May 21, 2026Created mergathon-dashboard — Circuitverse-mergathon-dashboard
- May 28, 2026Created PingMD — A booking web app for doctors appointment
- Jun 18, 2026Created Radhika-s-Portfolio — My personal porfolio made with next.js and motion framer
- Jun 20, 2026Created watcher-test-repo
- Jul 28, 2026Created neetcode-submissions — My NeetCode.io problem submissions
- Aug 24, 2026Created feedback-engine — Backend of GDG feedback engine
- Sep 5, 2026Most recent push to mergathon-dashboard
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.