01 · Roasts
The Zero-Star Collector
7 named projects, 0 stars on 8 of 9 repos. You're building impressively complex systems — WAL-based KV stores, multi-agent AI pipelines, JWT-secured full-stack apps — entirely for an audience of one. URL-Shortener's 14 stars are carrying the entire portfolio's social proof.
Burst Mode Developer
ADK-Agent went from zero to ARCHITECTURE.md + 90 tests in 6 days. Ripple was 30 commits in 10 days for a hackathon. Your heatmap looks like an EKG — long flatlines interrupted by cardiac events. Sustained daily grind: not your style.
Solo Artist
soloPct = 98%. Five PRs in a year. You've built a full-stack health app with S3 integration, a systems-level KV store, and a multi-agent hackathon entry — all completely alone. GitHub is a collaboration platform you're using as a personal diary.
Type System Amnesia
You typed BloodReview, QueryWhisperer, StudyBattles — all great. Then kv-engine, ADK-Agent, PhaseCompiler, and procedural-generation all ship as raw untyped Python. The pattern suggests type annotations are a mood, not a discipline.
47% Graveyard Rate
staleRepoRatio = 0.47. Nearly half your 48 repos haven't been touched in 2+ years. That's a lot of README.md files quietly aging in the dark, whispering 'coming soon' to nobody.
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% weight62C
- Consistency20% weight65C
- Quality20% weight72B
- Depth15% weight65C
- Breadth10% weight65C
- Community10% weight55D
03 · Stats
365-day commit heatmap
125 active days
Language distribution
- Python53%
- TypeScript21%
- JavaScript13%
- HTML9%
- CSS3%
- PowerShell1%
04 · Numbers
Owned repos
non-fork
43
Commits
last 12 months
593
Followers
12
Joined GitHub
Nov 2020
05 · Top repos
CypherGuy /
URL-Shortener
Production-grade URL shortener educational project with multi-section architecture progression, comprehensive test suite, CI/CD, AWS deployment with load-tested infrastructure (2000 concurrent users at 0.008% failure rate). Typed Python with structured layout, extensive docs including AWS_ARCHITECTURE.md and design spe
CypherGuy /
Ripple
Google Cloud hackathon submission: multi-agent AI system on FastAPI + Google ADK that correlates PR diffs with Dynatrace incidents to auto-generate fix MRs. 30 commits over 10 days; typed Python, structured 4-service architecture, comprehensive tests, live dashboard with WebSocket broadcasting.
CypherGuy /
QueryWhisperer
Full-stack AI-to-SQL web app with typed FastAPI backend (Python), Next.js frontend, PostgreSQL integration, JWT auth, and CI/CD. Modular architecture with meaningful documentation and early-stage development trajectory.
CypherGuy /
StudyBattles
Gamified study tool with FastAPI backend + React frontend. Full-stack typed project with tests and CI, structured multi-file layout, clear architecture. Early-stage but working implementation of document parsing, LLM-driven question generation, and unlock mechanics.
CypherGuy /
BloodReview
Functional full-stack health app with blood test tracking, CSV import, charting, and Claude AI analysis. Typed Node.js/Express backend, secure auth (bcrypt, CSP headers), MySQL integration, S3 upload, CI/test coverage, and clear README with setup docs.
CypherGuy /
procedural-generation-practical
Educational procedural generation project with deterministic tile-based map generation, comprehensive testing, and CI. Implements custom LCG PRNG with BFS validation and probabilistic lake/river formation using pygame.
CypherGuy /
kv-engine
Educational single-process KV store with crash-safe persistence using WAL, atomic snapshots, checkpointing, and linearizable concurrency. Well-documented systems project exploring durability and correctness from first principles, but untyped Python with no CI/tests runner integration.
CypherGuy /
ADK-Agent
A specialized Python CLI using Google ADK agents to surface project ideas by cross-referencing underused technologies with newsletter trends. Well-documented with tests and CI, but early-stage with no external adoption or stars.
CypherGuy /
PhaseCompiler
A Claude skill for generating phased project roadmaps with structured tasks and commit conditions. Typed Python project with meaningful documentation (SKILL.md, schema.py) and self-improvement loop (autoeval/). Limited stars/adoption but demonstrates serious craftmanship in prompt engineering and evaluation infrastruct
06 · Timeline
- Nov 5, 2020Joined GitHub
- Mar 30, 2024Created BloodReview — A website used to track, analyse and evaluate Blood Test results
- Feb 28, 2025Created QueryWhisperer — AI-powered web app that converts natural language into SQL using schema-aware, modular backend design.
- Dec 13, 2025Created kv-engine — A durable, concurrent key–value storage engine using write-ahead logging, atomic snapshots, and deterministic crash recovery.
- Feb 24, 2026Created PhaseCompiler — An agent skill for generaing roadmaps for coding projects by splitting it up into phases
- Feb 28, 2026Created StudyBattles
- Mar 8, 2026Created procedural-generation-practical — A mini project to help me understand the fundamentals of procedurally generated 'worlds'
- Apr 12, 2026Created URL-Shortener — A URL shortener built in stages. Each section adds one architectural layer with load test results to validate the tradeoff
- May 8, 2026Created ADK-Agent — A CLI tool using Google's ADK to provide project ideas based on repos and newsletters
- May 15, 2026Created Ripple — My submission for Google Cloud Rapid Agent Hackathon 2026
- May 25, 2026Most recent push to Ripple
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.