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#173 — Top 85.6%

vishc1

Vishwesh Chinthukumar

C

Getting there

Overall

0.0

/ 100

01 · Roasts

Graveyard of Zero Stars

9 repos, 0 stars total. Not a single person on the internet has clicked ⭐ on anything you've shipped. Even your mom hasn't found your GitHub yet.

Test-Phobic

0 out of 9 repos have tests. You're shipping a stealth interview assistant and a fruit-sharing SaaS on vibes and prayer alone. What could go wrong?

The 7-Hour Carnivorous Plant Expert

LearnCarnivorousPlants: created at 9am, last pushed by 4pm, 3 commits, 28 KB. The lifecycle of a weekend project that didn't survive the weekend.

CI? Never Heard of Her

8 of 9 repos have zero CI. jar-ai is the lone exception, which is impressive — until you realize it also has no README and no tests. Automated nothing, documented nothing.

Joined Yesterday, Already Overambitious

Account is ~9 months old and you've already attempted a Rust voice agent, a FAISS RAG interview assistant, AND a fruit-sharing platform. Bold vision. Zero production deployments. Classic.

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
    62C
  • Consistency
    20% weight
    65C
  • Quality
    20% weight
    62C
  • Depth
    15% weight
    58D
  • Breadth
    10% weight
    65C
  • Community
    10% weight
    25F

03 · Stats

365-day commit heatmap

51 active days

Less
More

Language distribution

7 langs
  • Jupyter Notebook41%
  • Makefile34%
  • TypeScript9%
  • Rust6%
  • Python4%
  • JavaScript3%
  • Other3%

04 · Numbers

Owned repos

non-fork

10

Commits

last 12 months

310

Followers

1

Joined GitHub

Jul 2024

05 · Top repos

vishc1 /

FruityApp

50/100

Next.js fruit-sharing platform with Supabase backend, typed code, structured architecture, and alternate docs. No tests/CI; young repo (2.5 months) with 30 commits representing solid indie project scope but limited production adoption.

I40Q60D50
READMETyped
TypeScript01mo ago

vishc1 /

TechBuddy

42/100

TypeScript Next.js app for senior-friendly screenshot analysis via Claude/OpenAI vision. Well-documented with README, typed codebase, structured layout, and thoughtful UI (voice output, scam detection, accessible text sizing). No tests/CI and minimal deployment history limit depth.

I25Q65D35
READMETyped
TypeScript01mo ago

vishc1 /

jar-ai

40/100

Jarvis: an ambitious multi-module macOS voice agent in Rust with egui UI, LLM planning/execution, browser automation, and speech I/O. Well-architected with 172MB codebase but lacks documentation, tests, and is pre-release (0 stars, no external adoption).

I25Q45D50
CI
Makefile01mo ago

vishc1 /

FocusFlip

33/100

Early-stage AI-powered focus tool with camera detection & page scoring. Untyped JavaScript, no tests/CI/license. Demonstrates real product thinking (Chrome extension, overlay UX, redirect logic) but lacks shipping maturity.

I25Q40D35
README
JavaScript01mo ago

vishc1 /

Schedule-Helper

33/100

Personal schedule-logging app: React + Express.js calendar UI with SQLite backend. Untyped, no tests/CI/docs, minimal scope (~60 KB), 3 commits in 5 days. Works but clearly experimental.

I25Q40D35
JavaScript02mo ago

vishc1 /

Question-Assister

28/100

Experimental stealth interview assistant with Windows API overlay and dual-channel audio capture. Untyped Python, minimal documentation, no tests/CI. Functional but architectural and design concerns; incomplete RAG/transcription integration.

I15Q40D30
README
Python02mo ago

vishc1 /

Phone-Holder-Sensor-Code

25/100

RF interference detection project using AD8317 amplifier and Arduino/ADC hardware integration. Has README explaining cellular ping analysis approach, but minimal code samples provided, no tests/CI, no license, and sparse documentation of implementation details.

I15Q35D25
README
C++02mo ago

vishc1 /

Eventratingapp

25/100

Next.js Halloween/Christmas house-rating PWA with TypeScript, Leaflet maps, and Vercel KV storage. Functional but undocumented, unversioned, no tests/CI, and minimal adoption signals.

I15Q35D25
Typed
TypeScript03mo ago

vishc1 /

LearnCarnivorousPlants

15/100

Minimal educational HTML site about carnivorous plants, created and pushed within 7 hours. Single sparse README, no tests, CI, license, or .gitignore. No actual substantive files sampled or available.

I15Q25D5
README
HTML01mo ago

06 · Timeline

  1. Jul 21, 2024
    Joined GitHub
  2. Nov 29, 2025
    Created Eventratingapp
  3. Jan 20, 2026
    Created Phone-Holder-Sensor-Code
  4. Jan 31, 2026
    Created FruityApp
  5. Mar 14, 2026
    Created Question-Assister
  6. Mar 24, 2026
    Created jar-ai
  7. Mar 25, 2026
    Created FocusFlip
  8. Mar 30, 2026
    Created Schedule-Helper
  9. Apr 10, 2026
    Created LearnCarnivorousPlants — Website, that teaches about carnivorous plants.
  10. Apr 16, 2026
    Created TechBuddy
  11. Apr 21, 2026
    Most recent push to jar-ai

07 · Compare

github.com/
vishc1 · 6dmedian coder

08 · Rubric

How this score was produced

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

CategoryWeightScoreContrib.
Raw total58.6
Top-end curve+4.6
Final overall63.2

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.
vishc1 · 63.2/100 — Rate My GitHub