01 · Roasts
# doesnt work (the comment, not a metaphor)
Algorithms-Module has literal '# doesnt work' comments committed to the repo. Not in a branch. Not in a WIP. Just shipped to main. Future you at 30 is not crying — future you is debugging pancake sort.
Comic Sans Deployment Engineer
lcy-mich.github.io has been 'maintained' for 4 years and the README is 'hehe website go brrrr'. That's 4 years of Comic Sans, blue/red backgrounds, and giant text shadows. The commitment to the bit is unironically impressive.
53% Jupyter, 0% Finished
Over half your codebase by bytes is Jupyter Notebooks, and most of them have incomplete DP implementations and 50% commented-out cells. Notebooks are where code goes to feel productive without shipping anything.
0 PRs, 0 Issues, 100% Solo
totalPRsYear=0, totalIssuesYear=0, soloPct=100%. You have not opened a single PR or issue on anyone else's code this year. GitHub is a social network and you are using it as a personal hard drive.
HackLondon Carried the Whole Portfolio
One 30-hour hackathon project (HackLondon-2026) has the only CI-adjacent structure, the only TypeScript, the only REST API, and the highest score by 22 points. The rest of the portfolio is coursework and a 4-year-old Comic Sans website.
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% weight62C
- Depth15% weight60C
- Breadth10% weight65C
- Community10% weight25F
03 · Stats
365-day commit heatmap
53 active days
Language distribution
- Jupyter Notebook53%
- Python15%
- TypeScript9%
- Java7%
- Haskell5%
- C4%
- Other7%
04 · Numbers
Owned repos
non-fork
21
Commits
last 12 months
133
Followers
4
Joined GitHub
Dec 2021
05 · Top repos
lcy-mich /
HackLondon-2026
TypeScript IoT library seat-booking system for HackLondon 2026 hardware track. Full-stack: React/Vite frontend, FastAPI backend with MongoDB, Arduino keypad + IR sensor hardware. Typed, documented, structured multi-file layout with REST API, state machine, and MQTT hardware sync. Recent hackathon project (~30 hrs).
lcy-mich /
COMP0005_coursework
University coursework implementing 2-3 trees and comparison with LLRB/scapegoat trees. Typed Python with basic structure, but minimal tests, no CI, and no license. Single-week academic sprint with limited real-world applicability.
lcy-mich /
Java-Learning
Personal Java learning repo with basic lab exercises (SimpleOrderSystem, AddressBook, FizzBuzz) demonstrating fundamentals but minimal documentation and no tests, CI, or structure beyond flat exercises/ and lab-exercises/ folders.
lcy-mich /
lcy-mich.github.io
Personal portfolio/landing page repo with minimal documentation, no tests/CI, casual HTML+CSS construction. Achieves 29/30 recent commits but lacks professional polish or meaningful scope.
lcy-mich /
Algorithms-Module
Unfinished educational algorithms notebook repository with 9 commits over ~2 months. Code is untyped Python with incomplete implementations, no documentation, no tests, and no CI. Many exercises have broken or commented-out logic ("doesnt work" comments visible).
lcy-mich /
FunFund
Early-stage academic project (university module submission) with a well-articulated gamified budgeting concept but minimal implementation—only 19 KB repo with no source code sampled, no tests, no CI, untyped, and just 3 commits in one week.
lcy-mich /
lcy-mich
GitHub profile README with personal bio, no source code. 11 commits over ~5 months, 86 KB total. Describes hobbies and interests but contains no shipped project, code artifacts, or technical substance.
06 · Timeline
- Dec 11, 2021Joined GitHub
- May 21, 2022Created lcy-mich.github.io
- Oct 29, 2025Created lcy-mich — well well well... whoo do we haave here?
- Jan 14, 2026Created Java-Learning
- Jan 16, 2026Created Algorithms-Module
- Feb 21, 2026Created HackLondon-2026 — Hardware Track
- Feb 26, 2026Created FunFund — gamified budgeting that promotes healthy spending habits
- Mar 25, 2026Created COMP0005_coursework
- Mar 29, 2026Most recent push to COMP0005_coursework
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.