Score breakdown
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🔥 Full roast
🔥 Four years on GitHub, your brightest star is a Jupyter Notebook of Andrew Ng's ML course, 9 of your 21 merged PRs are docs/site touch-ups, and your only high-star footprint is writing eval scripts for
Duguce — 66.20/100 · NPC (Average · Unremarkable)
TL;DR: Diligent but aggressively average: your highest-star original repo is a course notebook, your "high-impact" PRs are just eval/docs work for other people's 10k-star projects, and your 35 followers can't even fill a small undergraduate lecture hall.
| Dimension | Score | Notes |
|---|---|---|
| Account maturity | 8.5/10 | Registered 4.72 years, active across 6 contribution years with 381 contributions last year; you've held a GitHub account longer than most undergrads finish their degrees, yet your home turf is still a collection of course notes and toy scripts. |
| Original project quality | 9.8/18 | 13 original repos pull just 179 total stars, with your top project being a Jupyter Notebook of Andrew Ng's ML course; your best "engineering" work is a digital homework folder. |
| Contribution quality | 17.8/27 | 21 merged PRs out of 25 total, with 1 maintainer-closed unmerged PR, 3 author-closed external PRs, and 0 author-closed own-repo PRs; nearly 43% of recent merged work is docs/site/examples polish, plus 2 trivial PRs to small repos. |
| Ecosystem / maintenance impact | 11.6/20 | 8 PRs + 8 commits into two popular repos (MemTensor/MemOS 10k stars, SeekingDream/Static-to-Dynamic-LLMEval 499 stars); verified file sample shows 3 core changes and 2 docs/eval changes, with 3 additional impact PRs lacking file-level verification. |
| Community influence | 4.4/8 | 35 followers, 24 following; your follower count is smaller than the average undergraduate seminar, and you follow more people than follow you, a classic simp-league KPI. |
| Activity authenticity | 14.1/17 | 381 contributions last year across 3 activity types, no bot or farming signals detected; your activity is real, but it's the GitHub equivalent of showing up to class every day and still getting a C. |
Red flags
- Your highest-star original project is a Jupyter Notebook of Andrew Ng's ML course notes—65 stars for homework packaging, not software engineering credibility.
- All verified high-star impact PRs to MemTensor/MemOS (10k stars) are evaluation/docs/scripts work; only 3 of your 8 total impact PRs touch core code, and 3 more lack file-level verification to prove otherwise.
- 6 of your 21 recent merged PRs are trivial touch-ups (crop avatars, update .gitkeep, edit READMEs) to small or mid-sized repos, with no substantive code changes.
- Your 35 followers can't fill a small undergraduate lecture hall, and you follow more people than follow you—classic social KPI simp energy.
Score calibration No extra adjustment. The base score already accounts for your unremarkable original project quality, docs-heavy external contributions, and minimal core engineering impact, so no bump or haircut was needed.
Verdict Normal, but aggressively average. You're a reliable GitHub user who shows up and ships low-impact work, using other people's popular repos to pad your profile instead of building anything memorable on your own.
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