01 · Roasts
Commit Vampire
374 commits in a year but the heatmap looks like a horror film: months of flat-lining, then a frantic week-long binge. Your coding schedule has more plot twists than a thriller novel.
License Phobia
Seven projects, zero licenses. Congratulations — every repo you own is legally radioactive. If someone forks zsh-ai-copilot, you literally cannot stop them from selling it at a market stall.
Solo Operator
soloPct = 100%. Not a single PR merged, not a single collaborator, 0 following. You're not building in public — you're building in a sealed bunker. Even leetcode bots have more social presence.
Problem Dump Enthusiast
Two separate repos (leetcode + neetcode-submissions) for dumping algorithm solutions. One has CI, one doesn't. Neither has tests. You've automated the upload of code you haven't tested. Peak efficiency.
Star-Follower Ratio Tragedy
17 total stars across 15 repos and 2 followers, yet you follow 0 people. The GitHub social graph for your account is literally a single node with no edges. Network centrality: undefined.
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% weight56D
- Consistency20% weight65C
- Quality20% weight75B
- Depth15% weight58D
- Breadth10% weight80A
- Community10% weight25F
03 · Stats
365-day commit heatmap
45 active days
Language distribution
- Jupyter Notebook31%
- TypeScript29%
- Python25%
- C++6%
- JavaScript4%
- Kotlin2%
- Other3%
04 · Numbers
Owned repos
non-fork
15
Commits
last 12 months
374
Followers
2
Joined GitHub
Jul 2025
05 · Top repos
Sohan-Suchdev /
4d-minesweeper
Well-architected 4D Minesweeper portfolio project with Kotlin/Spring backend, Vanilla JS frontend, strong security (sanitized DTOs), and performance optimization. Typed, documented, CI-enabled, but minimal stars/adoption; architectural scope and craft place it solidly in the "active portfolio" band.
Sohan-Suchdev /
cpp-raytracer
Educational C++20 ray tracer following Peter Shirley's trilogy with complete Monte Carlo integration, lock-free multithreading, and comprehensive test suite (Catch2 covering Vec3, intersections, materials, BVH, PDFs).
Sohan-Suchdev /
Imperial_Predict
ImperialPredict is a working grade-tracking tool for Imperial College students built with Next.js, Supabase, TypeScript, and Recharts. Typed, documented, and structured multi-file layout, but minimal adoption, no tests/CI, and no license.
Sohan-Suchdev /
avellaneda-stoikov-py
Educational market-making simulator implementing Avellaneda-Stoikov stochastic control with multiple baseline strategies. Well-structured, documented, and runnable, but early-stage with minimal adoption (1 star, no external users).
Sohan-Suchdev /
zsh-ai-copilot
Terminal AI agent converting natural language to bash commands via FastAPI daemon + LangGraph + ChromaDB. Typed Python with comprehensive architecture, strong test suite, and CI/CD—but minimal adoption (8 stars, brand new, no license, single developer).
Sohan-Suchdev /
leetcode
LeetCode solutions collection with solid algorithm implementations (LFU cache, binary trees, heaps) across Python/C++, automated CI sync, but no README, docs, tests, or project structure—pure problem dump.
Sohan-Suchdev /
neetcode-submissions
Personal NeetCode submission sync repo created 8 days ago with 30 commits. Auto-generated solutions folder (no actual code sampled), minimal documentation explaining the sync mechanism, no tests or CI, 39KB size suggests minimal content.
Sohan-Suchdev /
Sohan-Suchdev
Personal portfolio README showcasing interests in quant and ML; no actual project code sampled. 19 KB, 1 star, minimal commits. Early-stage or placeholder repo.
06 · Timeline
- Jul 2, 2025Joined GitHub
- Nov 27, 2025Created Imperial_Predict — ImperialPredict is a grade calculator for Imperial College students. It lets you input marks for coursework and exams to calculate your weighted module scores and overall year aver
- Nov 27, 2025Created Sohan-Suchdev
- Dec 1, 2025Created avellaneda-stoikov-py — A stochastic optimal control simulation implementing the Avellaneda-Stoikov model to optimise market-making spreads and neutralise inventory risk.
- May 19, 2026Created neetcode-submissions — My NeetCode.io problem submissions
- May 19, 2026Created leetcode
- Jun 9, 2026Created zsh-ai-copilot — A terminal-native AI agent that converts natural language into validated, environment-aware shell commands. Powered by a persistent local FastAPI daemon, LangGraph, and ChromaDB fo
- Jun 9, 2026Created cpp-raytracer — A lock-free, multi-threaded CPU path tracer built from scratch in C++20. Features a contiguous frame buffer and a complete Monte Carlo integration framework with explicit light imp
- Jun 9, 2026Created 4d-minesweeper — A 4D Minesweeper web game engineered for strict architectural security and performance. Pairs a secure Kotlin/Spring Boot backend with a highly optimised, framework-free Vanilla JS
- Aug 18, 2026Most recent push to leetcode
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.