01 · Roasts
Profile README: abandoned shopfront
Your advitrocks9 profile repo scores a 7/100 — quality=10, depth=5. You built a 74k-LOC autonomous AI agent AND a 13-node StateGraph WhatsApp bot, but your own GitHub front door is a 1 KB stub that hasn't been touched in months. The cobbler's children have no shoes.
The 5-minute repo speedrun
aichessathon-starter was created at 22:19 and last pushed at 22:23 — that's 4 minutes of 'repo creation.' The depth score of 20 is being generous. It's not a project, it's a git init with ambitions.
Stars: critically endangered
19 total stars across 39 repos — that's 0.49 stars per repo. You've shipped a live product to 250 users, placed top-10 in two serious quant competitions, and built a full autonomous agent stack. Yet GitHub stars you like you're in witness protection. Touch some grass (and a social media account).
comp-qm: quality score is literally 0
comp-qm solves the Schrödinger equation with Chebyshev pseudospectral methods and scores quality=0. No license, no CI, no tests. Hydrogen atoms in magnetic fields deserve better than a cowboy repo.
70 PRs, 8 followers — the invisible contributor
You opened 70 pull requests this year — more than most developers open in three — yet you have 8 followers. You are actively improving other people's code and no one is watching. This is either extreme humility or a masterclass in stealth mode.
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% weight68C
- Consistency20% weight80A
- Quality20% weight72B
- Depth15% weight65C
- Breadth10% weight80A
- Community10% weight50D
03 · Stats
365-day commit heatmap
164 active days
Language distribution
- Python50%
- TypeScript32%
- Kotlin7%
- SystemVerilog4%
- C++2%
- Tcl1%
- Other4%
04 · Numbers
Owned repos
non-fork
28
Commits
last 12 months
1,909
Followers
8
Joined GitHub
Oct 2020
05 · Top repos
advitrocks9 /
broadway-copilot
Production WhatsApp AI stylist with 250 internal users, custom StateGraph agent, dual-LLM routing, pgvector wardrobe search, full Cloud Run infrastructure. Typed Node.js/TypeScript with tests, CI/CD, comprehensive tracing.
advitrocks9 /
fullhouse-bot
Deep CFR poker bot with deliberate feature-contract engineering; shipped 12th of 500+ in Fullhouse Hackathon. Typed, tested, documented with clear architectural decisions (runtime-contract.md). 7.8MB codebase spanning training (Numba/PyTorch) and pure-NumPy sandbox runtime.
advitrocks9 /
beast
Ambitious autonomous AI agent system with full-stack TypeScript + Postgres/pgvector, shipped demo at beast-demo.vercel.app. Multi-tier memory system, bounded tool loops, learning from reviews. Well-structured monorepo with CI, tests, comprehensive docs in docs/ + ARCHITECTURE.md.
advitrocks9 /
imc-algothon
Production-quality competition trading system: 7th/100+ in IMC Algothon 2026, with structured multi-package architecture (~3,200 LOC), real external data APIs, sophisticated theo pricing, and ETF arbitrage logic.
advitrocks9 /
rtl8168-fpga
SystemVerilog RTL8168H NIC emulator for PCILeech DMA card: detailed register/PHY/MSI-X emulation with state machines, comprehensive documentation, CI/testing, but limited adoption (1 star, niche hardware target).
advitrocks9 /
email-mcp
Local MCP server for Gmail and Outlook email actions with reversible mutations. Typed Python, structured codebase with tests, CI, comprehensive docs, but nascent (0 stars, 1 month old) and not yet in production use.
advitrocks9 /
broadway-copilot-dashboard
TypeScript internal ops dashboard for Broadway Copilot. Next.js 15 + Prisma + NextAuth, styled with shadcn/ui. MIT-licensed, tested, CI/CD via GitHub Actions. Well-documented setup; multi-feature scope (analytics, user mgmt, trace debugger). No public adoption (0 stars) but solid craftsmanship for an internal tool.
advitrocks9 /
agent
Personal 24/7 Telegram agent with Claude reasoning, autonomy learning, and life/career pillar tracking. Typed Python + FastAPI + Postgres, comprehensive docs, but 0 stars and under 24 hours old—early-stage experimental project by single developer.
advitrocks9 /
comp-qm
Year 12 physics project solving the Schrödinger equation for hydrogen in magnetic fields using Chebyshev pseudospectral methods. Clean rebuild of original 2024 work with comprehensive validation suite (28-69 checks) but nascent adoption.
advitrocks9 /
optifluke
Academy trading bot (9th of 30+ teams) with thoughtful rate-limiting architecture and multi-strategy options/futures market-making. Typed Python, structured layout, clear README and design documentation, but limited external adoption and minimal test coverage.
advitrocks9 /
aichessathon-starter
Tutorial/starter template for AI Chessathon competition. Provides working harness with referee, sandbox, and three baseline agents (random, greedy, minimax). Well-documented with clear instructions, but early-stage (2 stars, created 2 hours ago, 7 of 30 recent commits).
advitrocks9 /
advitrocks9
Personal profile repo with minimal content — only 1 KB, no source files, a README-only stub listing contact info and interests. Zero commits in last 30 days indicates dormant state.
06 · Timeline
- Oct 8, 2020Joined GitHub
- Feb 24, 2021Created advitrocks9
- Aug 12, 2025Created broadway-copilot — WhatsApp AI stylist. Custom StateGraph agent, dual-LLM routing, pgvector wardrobe search, GCP
- Sep 14, 2025Created broadway-copilot-dashboard — Internal ops dashboard for Broadway Copilot. Analytics, cost tracking, agent trace debugger. Next.js 15, shadcn/ui, Prisma.
- Mar 25, 2026Created imc-algothon — Multi-strategy algorithmic trading: tidal-harmonic signals, ETF arbitrage, Monte Carlo pricing. 2nd novice / 7th of 100+, IMC Algothon 2026.
- Mar 25, 2026Created rtl8168-fpga — RTL8168H NIC emulation firmware for the EnigmaX1 (Artix-7 XC7A75T). PCIe Gen2 x1, full config space, BAR register emulation, MSI-X, PHY/MDIO, timing jitter.
- May 14, 2026Created fullhouse-bot — 6-max NLHE poker bot on Deep CFR. MCCFR-trained, pure-NumPy runtime, 2s/768MB sandbox. 12th of 500+, 15th of 64 in the final, Fullhouse Hackathon 2026 (Quadrature Capital).
- Jun 9, 2026Created email-mcp — Local MCP server for reversible Gmail and Outlook mailbox actions.
- Jun 17, 2026Created optifluke — Optiver Trading Academy 2026 market-making bot for the Optibook simulator. 9th of 30+.
- Jun 29, 2026Created beast — Autonomous AI employees that ship real work, learn your voice, and run in the background
- Jun 29, 2026Created agent — 24/7 personal agent over Telegram: life and career pillars, tiered-autonomy messaging, an MCP tool server, and a self-learning loop. Python, FastAPI, Postgres.
- Aug 3, 2026Created comp-qm — Chebyshev pseudospectral eigensolver for the Schrödinger equation of hydrogen in intense magnetic fields
- Aug 28, 2026Created aichessathon-starter — Fork this to build an AI Chessathon agent.
- Aug 28, 2026Most recent push to aichessathon-starter
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.