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#105 — Top 91.3%

adityasingh2400

Aditya Singh

C

Getting there

Overall

0.0

/ 100

01 · Roasts

Star Vacuum

26 repos, 12 scored, and you've accumulated a grand total of 3 stars — SwarmSell's 2 stars are doing the heavy lifting. Your GitHub is a product launch factory where nobody RSVPs.

Hackathon Hopper

ReRoute (2 days old), SwarmSell (3 days), Zo (24 hours), FreezeFrame (3 weeks) — half your portfolio was born and abandoned inside a long weekend. Depth scores don't lie: burst commits ≠ shipped software.

Python Monoculture

89% Python by byte count. You've got Rust, Swift, and TypeScript repos, but your language entropy looks like a single crop farm. One blight and the whole portfolio wilts.

The License Nihilist

Checked your repos for licenses: found basically none. You're shipping multi-agent AI systems, iOS apps, and Rust CLIs into the void with zero legal clarity. OSS aspirations require more than vibes.

63 PRs, 6 Followers

You filed 63 PRs this year — more than most engineers — yet only 6 people follow you. Either you're PRing exclusively into your own repos or you're the most low-key contributor in UCSB history.

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

  • Impact
    25% weight
    68C
  • Consistency
    20% weight
    65C
  • Quality
    20% weight
    62C
  • Depth
    15% weight
    65C
  • Breadth
    10% weight
    65C
  • Community
    10% weight
    40D

03 · Stats

365-day commit heatmap

89 active days

Less
More

Language distribution

7 langs
  • Python89%
  • JavaScript4%
  • TypeScript2%
  • Swift1%
  • Cython1%
  • C1%
  • Other2%

04 · Numbers

Owned repos

non-fork

18

Commits

last 12 months

462

Followers

6

Joined GitHub

Jan 2020

05 · Top repos

adityasingh2400 /

SwarmSell

55/100

Hackathon-built multi-agent AI system for automating secondhand item listing across platforms. Uses Gemini video analysis, Browser-Use agents, and CDP screencasting to orchestrate concurrent marketplace submissions. Structured Python backend with tests and typed models, but unpolished and feature-incomplete.

I55Q60D50
READMETests
Python21mo ago

adityasingh2400 /

ReRoute

53/100

Hackathon winner with 9 AI agents (Fetch.ai uAgents framework) competing across 5 resale routes. Typed Python/FastAPI backend, Gemini 3.1 integration, OpenCV media processing. Real application architecture with structured multi-file layout, but nascent (2 days old, no CI/tests, no external validation).

I45Q60D55
READMETests
Python02mo ago

adityasingh2400 /

Recursor

52/100

Recursor is a well-crafted Rust utility integrating with Cursor AI agents for window focus management across macOS/Windows/Linux. Typed, documented, structured codebase with CI/CD but nascent adoption (0 stars, fresh repo from Feb 2026).

I40Q65D50
READMECITyped
Rust02mo ago

adityasingh2400 /

ivsunsets

50/100

Polished Next.js sunset forecast SPA for Isla Vista with TypeScript, Tailwind, Framer Motion, custom scoring algorithm, and interactive UI. Active but nascent (11 commits in 10 days), no tests/CI, no license.

I25Q65D55
READMETyped
TypeScript02mo ago

adityasingh2400 /

Pepper

48/100

Niche iOS peptide tracking app with voice-first UX, 24-compound catalog, dosing math, and parser for stack imports. Typed Swift 6, tests included, but no CI/CD and no public adoption signals.

I25Q60D50
READMETestsTyped
Swift01mo ago

adityasingh2400 /

Zo

45/100

YC hackathon AI livestream-commerce project (24h build). Structured Python/TypeScript with typed core agents, comprehensive documentation (ARCHITECTURE.md, DESIGN_PRINCIPLES.md), CI/CD on GitHub Actions. Lacks public adoption but demonstrates substantial architectural scope (~1.2 MB codebase with multi-module agents, F

I25Q60D50
READMECI
Python01mo ago

adityasingh2400 /

webbasketball

45/100

Web-based 3D basketball game with hand-tracking using MediaPipe, motion-controlled dribbling/shooting, and physics-based shot arc. TypeScript + React Three Fiber with functional architecture and unit tests, but pre-release stage with no stars/adoption yet.

I25Q60D50
READMETestsTyped
TypeScript01mo ago

adityasingh2400 /

ziri

45/100

Experimental distributed voice OS for Mac with multi-agent LLM orchestration, semantic memory, and always-on listening. Early-stage project (0 stars, 20 commits in ~3 weeks) with solid architectural foundation but incomplete feature set.

I25Q60D50
READMETestsCI
Python02mo ago

adityasingh2400 /

FreezeFrame

43/100

Ambitious multi-stage bullet-time sports replay system (4 phones → 3D moments) using Gemini generative fill + geometric reconstruction. Structured codebase (~2MB) with typed schemas, thoughtful architecture, but experimental—early stage (3 weeks old, 1 star), no tests/CI, no license.

I25Q55D50
README
Python11mo ago

adityasingh2400 /

website

42/100

Personal portfolio website in TypeScript using Next.js with gravitational orbit navigation and AI voice agent integration; typed and structured but lacks tests, CI, docs, and meaningful project documentation.

I25Q50D50
Typed
TypeScript01mo ago

adityasingh2400 /

formfix

38/100

Basketball shot analyzer with AI-powered coaching via MediaPipe pose tracking. 6 commits in ~3 months with structured backend/frontend split, comprehensive docs (ARCHITECTURE.md, design.md, STATUS.md), but untyped Python and no tests/CI.

I25Q50D35
README
Python02mo ago

adityasingh2400 /

adityasingh2400

25/100

Personal profile repository with resume-style README and CI setup, but no substantive code artifacts. 30 commits over ~2.5 months, showing activity but minimal depth for a portfolio project lacking shipping examples.

I15Q25D35
READMECI
Python01mo ago

06 · Timeline

  1. Jan 20, 2020
    Joined GitHub
  2. Dec 23, 2025
    Created formfix — AI-powered basketball shot form analyzer that uses pose and hand tracking to give instant mechanics feedback from video.
  3. Feb 2, 2026
    Created adityasingh2400
  4. Feb 2, 2026
    Created Recursor — The 'Bounce Back' utility for Cursor AI Agents — automatically saves and restores window focus
  5. Feb 2, 2026
    Created website — Innovative portfolio website with gravitational orbit navigation system
  6. Feb 27, 2026
    Created ziri — Distributed home voice OS with an always-on AI voice assistant for your Mac, smart home, music, and natural conversation.
  7. Mar 8, 2026
    Created ivsunsets — Predicts sunset quality for Isla Vista, CA — scored 0-100 with real-time weather data and animated sky visualizations
  8. Mar 21, 2026
    Created ReRoute — 🏆 First Place CSULB BeachHacks — Film one video of your unused stuff. Nine AI agents compete across five sale routes and execute the winning strategy automatically.
  9. Mar 25, 2026
    Created webbasketball
  10. Mar 28, 2026
    Created FreezeFrame
  11. Apr 4, 2026
    Created SwarmSell — Film your clutter. AI agents list it everywhere — simultaneously.
  12. Apr 16, 2026
    Created Pepper — peptide for all
  13. Apr 18, 2026
    Created Zo — YC Gemma 4 Voice Agents Hackathon Project
  14. Apr 24, 2026
    Most recent push to Zo

07 · Compare

github.com/
adityasingh2400 · 6dmedian coder

08 · Rubric

How this score was produced

Overall = Σ (category × weight) + gentle top-end curve

CategoryWeightScoreContrib.
Raw total62.6
Top-end curve+5.4
Final overall68.0

Tier thresholds

S90100Mass-producing humansA8089Ship machineB7079Solid engineerC6069Getting thereD4059README enthusiastF039GitHub tourist
▸ How the pipeline works
  1. 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.
  2. 02Triage.A small model reads every repo's file tree + README and picks the 20 files per repo that actually reveal how you code.
  3. 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.
  4. 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.
  5. 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.
adityasingh2400 · 68.0/100 — Rate My GitHub