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#355 — Top 71.1%

Arnav8452

Arnav Chandra

D

README enthusiast

Overall

0.0

/ 100

01 · Roasts

TypeScript Monoglot

95% TypeScript across 15 repos. Impressive dedication to one language — or maybe just never needing to leave the comfort of `tsc --noEmit` error messages at 2am.

License Dodger

Freeloader, lead_generator, Portfolio_builder, chain-seat, automated-insta-dm — all missing a license. Congrats, technically no one can legally use any of your code. All rights reserved by default, even the Puppeteer Instagram bot.

Sprint Machine, Streak Stranger

413 commits in a year but 40+ consecutive weeks of zero activity on the heatmap. You don't code — you hibernate, then have a caffeinated crisis and push 30 commits in 48 hours.

Ecosystem of One

You've named three repos after 'Closr' and built a full lead-gen + portfolio builder ecosystem for it — 0 forks, 0 external contributors, 3 followers. The Closr community is currently you, yourself, and your GitHub README.

Tests? Optional, Apparently

5 out of 8 repos have zero tests. You've got circuit breakers, PostgreSQL transactions, and Redis rate-limiting in Freeloader — but the test suite philosophy seems to be 'it compiled, ship it.'

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
    65C
  • Quality
    20% weight
    62C
  • Depth
    15% weight
    58D
  • Breadth
    10% weight
    45D
  • Community
    10% weight
    25F

03 · Stats

365-day commit heatmap

41 active days

Less
More

Language distribution

7 langs
  • TypeScript95%
  • Python3%
  • JavaScript1%
  • CSS0%
  • HTML0%
  • PLpgSQL0%
  • Other1%

04 · Numbers

Owned repos

non-fork

11

Commits

last 12 months

413

Followers

3

Joined GitHub

Oct 2022

05 · Top repos

Arnav8452 /

Freeloader

52/100

TypeScript AI gateway aggregating free-tier LLM providers (Gemini, Groq, Cerebras, OmniRoute). Monorepo with circuit breakers, rate limiting, caching, and streaming. Ships with tests, CI, and structured packages but lacks license and limited adoption signals.

I40Q65D50
READMETestsCITyped
TypeScript81mo ago

Arnav8452 /

Portfolio_builder_for_closr

52/100

TypeScript portfolio builder tool for closr ecosystem featuring OAuth scraping, LLM-powered creator classification, multi-modal OSINT ingestion, and verification workflows. Shipped with tests, CI, and typed architecture but nascent adoption (2 stars, no license declared).

I40Q65D50
READMETestsCITyped
TypeScript21mo ago

Arnav8452 /

lead_generator_for_closr

45/100

B2B lead-gen automation tool for creator economy with 7 scrapers, multi-stage filtering, local LLM extraction via Ollama, and API enrichment waterfall. Typed Python, documented, and structured but nascent (2 stars, 7 of 30 commits in past month).

I40Q60D35
READMETests
Python21mo ago

Arnav8452 /

automated-insta-dm-outreach-agent-openclaw

38/100

Experimental TypeScript automation agent for Instagram DM outreach using Puppeteer and OpenClaw framework. Demonstrates ambition but lacks test coverage, production hardening, and actual ecosystem adoption.

I25Q50D35
READMECITyped
TypeScript21mo ago

Arnav8452 /

chain-seat

32/100

Early-stage blockchain ticketing platform with React + Supabase + Polygon integration. Typed TypeScript backend, structured frontend, and meaningful README. Minimal commit history (3 of 30 in recent window) and no tests/CI yet, but demonstrates shipped artifact with multi-layer architecture.

I25Q50D20
README
JavaScript23mo ago

Arnav8452 /

Arnav8452

23/100

Personal portfolio/README-only repo with no source code in the sampled tree. Contains social links and project summaries but is primarily a GitHub profile showcase with no functional code or substantive content beyond markdown.

I15Q30D25
READMECI
Unknown127d ago

Arnav8452 /

entity_resolution_graph_osint

23/100

Ambitious OSINT pipeline with Neo4j graph extraction and LLM entity resolution, but extremely fresh (1 day old), zero tests/CI, no license, and incomplete code. Single initial commit burst without sustained development.

I15Q35D20
README
Python23mo ago

Arnav8452 /

Resume

8/100

Personal resume project with minimal output: 11 KB HTML, 3 commits over 1 day, no README, no structure, no tests or CI. A one-off personal document dump.

I5Q10D5
HTML01mo ago

06 · Timeline

  1. Oct 9, 2022
    Joined GitHub
  2. Apr 21, 2026
    Created chain-seat — ChainSeat is a blockchain-powered ticketing platform designed to eliminate fraud and scalping.
  3. Apr 21, 2026
    Created entity_resolution_graph_osint — An autonomous, entirely localized, AI-driven Open Source Intelligence (OSINT) pipeline.
  4. Apr 21, 2026
    Created lead_generator_for_closr — Tool 1 of the Closr ecosystem - Lead generator for creators
  5. Apr 21, 2026
    Created Arnav8452
  6. May 5, 2026
    Created Portfolio_builder_for_closr — Tool 2 for closr ecosystem - Live Portfolio builder for Creators
  7. May 22, 2026
    Created Freeloader — Freeloader is an OpenAI-compatible AI gateway that maximizes free-tier LLM usage. It intelligently cascades requests across providers like Gemini, Groq, Cerebras, and Ollama. With
  8. May 28, 2026
    Created Resume — Arnav Chandra's resume
  9. Jun 3, 2026
    Created automated-insta-dm-outreach-agent-openclaw — An autonomous OpenClaw agent for Instagram DM outreach and budget negotiation. Uses local Playwright automation, a PostgreSQL state machine, and Redis rate-limiting to secure colla
  10. Jun 24, 2026
    Most recent push to Arnav8452

07 · Compare

github.com/
Arnav8452 · 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.
Arnav8452 · 56.4/100 — Rate My GitHub