01 · Roasts
Coursework Cosplaying as a Portfolio
Your most impressive repo — RISCV-Team5 — is Imperial College graded coursework that lived for exactly 3.5 weeks before going dark. That's not a portfolio, that's a deadline.
24 Commits in a Year? My Grandma's Blog Has More Traffic
totalCommitsYear = 24. With 52 weeks on the calendar, you averaged less than one commit every two weeks. The heatmap looks like a Morse code SOS signal — burst, silence, burst, silence.
The Profile README That Promises Everything
You have a repo named after yourself with 12 commits and 23 KB of text describing skills and 'planned projects.' The most committed thing in your portfolio is the word 'planned.'
TypeScript at 45% But Where's the App?
Nearly half your code bytes are TypeScript — yet no TypeScript repo appears in your top projects. Either that code is buried somewhere private, or it's all CSS and HTML inside .ts files.
1 PR All Year
totalPRsYear = 1, totalIssuesYear = 0. You opened exactly one pull request across all of GitHub in 12 months. Even Stack Overflow lurkers upvote things occasionally.
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% weight40D
- Consistency20% weight20F
- Quality20% weight57D
- Depth15% weight55D
- Breadth10% weight65C
- Community10% weight25F
03 · Stats
365-day commit heatmap
54 active days
Language distribution
- TypeScript45%
- Python14%
- C++13%
- CSS8%
- HTML6%
- JavaScript6%
- Other8%
04 · Numbers
Owned repos
non-fork
9
Commits
last 12 months
24
Followers
11
Joined GitHub
Jan 2022
05 · Top repos
parthak314 /
RISCV-Team5
RISC-V 32I CPU designed for Imperial College EIE module; single-cycle + pipelined + cache implementations across multiple branches, with structured RTL (Verilog) and GTest testbenches but no CI/license and modest community adoption.
parthak314 /
embeddings-accuracy
Early-stage Python library for embeddings evaluation with clustering, dimensionality reduction, and k-NN recall metrics; typed and tested but minimal real-world usage (0 stars, 1 day old, 2 commits).
parthak314 /
parthak314
A personal GitHub profile repo with a README describing the owner's skills and planned projects. No source code, tests, CI, or license. 23 KB with sparse recent activity (12 commits in 30 days). Lacks substance beyond a portfolio introduction.
06 · Timeline
- Jan 9, 2022Joined GitHub
- Nov 7, 2024Created parthak314
- Nov 21, 2024Created RISCV-Team5 — RISC-V 32I CPU designed as part of the instruction set architecture (ISA) module for 2nd year EIE at Imperial College London.
- Nov 12, 2025Created embeddings-accuracy — A library for evaluating the accuracy of embeddings through clustering and dimensionality reduction.
- Dec 1, 2025Most recent push to parthak314
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.