01 · Roasts
Hackathon Hoarder
8 of your repos are hackathon scaffolds — half of them are literally 0 KB with a README that just says the repo name. You're collecting event placeholders faster than GitHub stars.
The 18-Commit Year
18 public commits in a year. That's one commit every 20 days. Even your heatmap looks embarrassed — 340+ empty cells staring back at you.
HDL Cryptid
80% of your codebase is Verilog, VHDL, and SystemVerilog — yet not a single one of those repos shows up in your public profile. You're apparently a hardware wizard who codes entirely in the dark.
No Stars, No Forks, No Friends
3 total stars across 16 repos, 0 PRs filed this year, and 2 followers. The GitHub social graph doesn't know you exist — and your repos aren't making a case for why it should.
72-Hour Engineer
hackeurope-26 is genuinely your best work — 30 commits, a typed DAG executor, and proper architecture docs. Then you never touched it again after day 3. Peak engineering, instant abandonment.
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% weight48D
- Consistency20% weight55D
- Quality20% weight57D
- Depth15% weight52D
- Breadth10% weight65C
- Community10% weight25F
03 · Stats
365-day commit heatmap
14 active days
Language distribution
- Verilog37%
- VHDL35%
- C++16%
- SystemVerilog8%
- Solidity1%
- C1%
- Other2%
04 · Numbers
Owned repos
non-fork
14
Commits
last 12 months
18
Followers
2
Joined GitHub
Dec 2019
05 · Top repos
TheTechJumbo /
ic-hack-26
Kalm: hackathon social-good project (IC Hack 26) providing AI recovery support via Telegram bot + live voice chat using ElevenLabs voice cloning and FastAPI backend. ~4 days old with meaningful architecture but minimal docs, no tests/CI, untyped Python.
TheTechJumbo /
etc-oxford-26-whistleblower
Privacy-first whistleblowing MVP integrating Flare's FDC attestation. Client-side AES-GCM encryption in frontend, Solidity verifier contracts, and TypeScript FDC orchestration scripts. Hackathon-stage prototype with no tests, CI, or license.
TheTechJumbo /
hackeurope-26
Early-stage AI agent platform (AgentFlow) decomposing natural language into executable DAGs. Typed Python codebase with FastAPI backend, LLM integration, and block registry—but only 2 stars, no tests/CI, fresh repo (<3 days), and no license.
TheTechJumbo /
eth-oxford-26
Hackathon-stage monorepo with typed Solidity contracts, Node.js referee service, and Next.js frontend for Apex Legends staking dApp. Well-documented setup but minimal commit history and production maturity.
TheTechJumbo /
SkillStake
Early-stage Solidity dApp for 1v1 skill-based wagering on Flare Coston2; minimal ecosystem adoption (0 stars), core contracts deployed but missing test infrastructure and CI pipeline; recent burst activity (3 commits in 30 days) shows fresh project status.
TheTechJumbo /
hackupc26
Empty scaffold with only a title in README.md. Created 2026-04-24, 1 commit, 0 KB size, no code, tests, CI, license, or meaningful documentation. Appears to be an uninitialized repository placeholder.
TheTechJumbo /
hackeurope-26-frontend
Empty scaffold created 2 minutes ago with only a bare README title. No code, tests, CI, or documentation. Appears to be an initial commit stub for a hackathon project.
TheTechJumbo /
etc-oxford-26-wager
Empty scaffold repo with minimal README, zero stars, single commit within hours of creation, no code or structure.
06 · Timeline
- Dec 17, 2019Joined GitHub
- Jan 31, 2026Created ic-hack-26
- Feb 6, 2026Created eth-oxford-26 — trying to hackathon.
- Feb 7, 2026Created etc-oxford-26-whistleblower
- Feb 7, 2026Created etc-oxford-26-wager
- Feb 8, 2026Created SkillStake
- Feb 21, 2026Created hackeurope-26
- Feb 21, 2026Created hackeurope-26-frontend
- Apr 24, 2026Created hackupc26
- Apr 24, 2026Most recent push to hackupc26
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.