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#340 — Top 71.6%

Dhairya1890

Dhairya

D

README enthusiast

Overall

0.0

/ 100

01 · Roasts

Hackathon Archaeologist

Trigr has a 15-signal fraud engine, city-level income loss tables for 12M gig workers, and a 5-table relational schema — and exactly 2 stars, both probably from your own devices. Next step: deploy it somewhere humans can find it.

CI/License Allergist

Across 7 repos, HAS_CI=yes appears zero times and HAS_LICENSE=yes appears zero times. You're building insurance products without legal coverage. The irony is on theme.

Prolific Scaffolder

Issue_Templates: created at 11:58, last pushed at 13:02, 26 KB, no source files. That's a repo born and abandoned in the time it takes to eat lunch. multiRepoVolume=82 tells the real story of your volume though.

3-Month GitHub Veteran

Joined January 2025, already has a fintech platform, an LLM chatbot, a portfolio scraper, and a themed calendar — respect the energy, but the heatmap has more empty cells than a sparse matrix. 74 public commits in a year doesn't quite match the ambition.

Hardcode Cowboy

Multi_Agent_Trading ships with hardcoded credentials and a main.py that only serves a health endpoint. The trading is happening in spirit only.

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
    48D
  • Consistency
    20% weight
    55D
  • Quality
    20% weight
    57D
  • Depth
    15% weight
    50D
  • Breadth
    10% weight
    72B
  • Community
    10% weight
    40D

03 · Stats

365-day commit heatmap

58 active days

Less
More

Language distribution

7 langs
  • JavaScript33%
  • TypeScript27%
  • Python21%
  • CSS7%
  • C++6%
  • HTML2%
  • Other4%

04 · Numbers

Owned repos

non-fork

13

Commits

last 12 months

74

Followers

10

Joined GitHub

Jan 2025

05 · Top repos

Dhairya1890 /

Trigr

50/100

Parametric income insurance platform for Indian gig workers with FastAPI backend (fraud detection, payout engine, premium calculator) and Next.js frontend. Hackathon project with clear domain modeling but limited production maturity—no CI/tests, mock weather integrations, and unfinished database layer.

I40Q60D50
README
JavaScript21mo ago

Dhairya1890 /

Brewfolio

40/100

Full-stack TypeScript portfolio builder integrating LeetCode/GitHub/Codeforces scrapers with AI-powered profile generation. Typed, tested backend; React+Vite frontend; minimal docs; early-stage project under 6 days old.

I25Q55D45
TestsTyped
TypeScript02mo ago

Dhairya1890 /

ScamYou

38/100

Experimental anti-scam chatbot API using FastAPI and Google Gemini. Python project with structured src/, type hints, and README docs, but no tests, CI, or license. 16 commits over ~6 weeks suggests modest exploratory work.

I25Q50D35
README
Python02mo ago

Dhairya1890 /

calendar-component

30/100

A beautifully aesthetic Japanese-themed calendar component built with React 19 and Vite featuring seasonal theming, date range selection state machine, and persistent notes via localStorage—polished UI demo with clean architecture but no production signals.

I15Q55D20
README
JavaScript01mo ago

Dhairya1890 /

Multi_Agent_Trading

20/100

Early-stage multi-agent trading app with 51 KB codebase mixing Python backend and React frontend. No README, tests, CI, or license; hardcoded credentials and incomplete features (main.py health endpoint only). Last commit 1 of 30 suggests recent activity but minimal shipping.

I15Q25D20
JavaScript03mo ago

Dhairya1890 /

Codeforces

17/100

Personal Codeforces submission dump with 16 KB of C++ code, no tests, no CI, no documentation. 14 commits over ~2 months indicate minimal active development without evidence of production use or shared value.

I15Q15D20
C++03mo ago

Dhairya1890 /

Issue_Templates

8/100

Empty scaffold repo with no README, no source files, and only 26 KB total size. Created and pushed same day with minimal commit activity. No documentation, tests, CI, or licensing.

I5Q10D5
Unknown03mo ago

06 · Timeline

  1. Jan 28, 2025
    Joined GitHub
  2. Dec 17, 2025
    Created Codeforces — Codeforces repository to maintain submissions, done in c++
  3. Feb 2, 2026
    Created Multi_Agent_Trading
  4. Feb 2, 2026
    Created ScamYou
  5. Feb 26, 2026
    Created Issue_Templates — Enhance your Github Issue Tracking with these Issues Templates
  6. Mar 10, 2026
    Created Trigr — Trigr - AI-powered parametric income insurance for gig delivery workers in India. Automatic payouts via UPI when floods, AQI events, or curfews hit. No claims. No paperwork. Built
  7. Mar 18, 2026
    Created Brewfolio
  8. Apr 9, 2026
    Created calendar-component
  9. Apr 13, 2026
    Most recent push to Trigr

07 · Compare

github.com/
Dhairya1890 · 6dmedian coder

08 · Rubric

How this score was produced

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

CategoryWeightScoreContrib.
Raw total53.1
Top-end curve+3.3
Final overall56.4

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.
Dhairya1890 · 56.4/100 — Rate My GitHub