🏆 Notable contributions
Popular open-source repos they've shipped to (commits + PRs)
Score breakdown
🛠 Featured work
Their own popular and pinned repositories
init to record my learning path of AI Infra, especially on inference.
JavaScript中国开发者活动日程（关注点：开源、开发者、云原生）
Pythondownload all slides from sched.com event: kubecon/istiocon
Pythonrecord my learning CNCF related path; move to https://github.com/pacoxu/AI-Infra/
a simple reloader to check kubelet status and restart it when running version is different with current version
GoClaude Skills for Kubernetes
🧬 Stack & domains
🧬 Most similar developers
Closest profile, nearby score
🔥 Full roast
🔥 Claims to be a Kubernetes contributor, but 81% of his 1028 merged PRs are docs/site work, with only 9 core engineering impact PRs — less than half the 18 doc-like impact PRs. His highest-starred origi
pacoxu — 64.80/100 · NPC (Average · Unremarkable)
TL;DR: 14 years of GitHub activity and 1028 merged PRs look impressive on paper, but 81% of recent external work is docs/translations, core impact is barely verified, and 57% of recent PRs are bulk [codex] dumps into a 1-star football repo—this is resume theater, not engineering.
| Dimension | Score | Notes |
|---|---|---|
| Account maturity | 10/10 | Registered 13.94 years, active across 15 contribution years, last contribution 0 days ago |
| Original project quality | 10.2/18 | 13 original repos with 275 total stars; top-starred original repo (AI-Infra, 229 stars) is a learning-path docs aggregator with quality score 0.55, while the highest-quality original repo (kubelet-reloader) only has 2 stars |
| Contribution quality | 23.2/27 | 1028 merged PRs out of 1445 total, 389 closed unmerged (50 maintainer-closed, 35 self-closed external, 15 self-closed own-repo); 84% of recent merged PRs are docs/site/examples work, with 81% of recent external PRs falling into the same category |
| Ecosystem / maintenance impact | 8/20 | All-time 1046 PRs + 1227 commits across 105 popular repos, including 574 PRs and 432 commits to kubernetes/kubernetes (123k stars); only 9 of 27 verified file-level samples are core code changes, with 18 being docs/translations/site work |
| Community influence | 6.4/8 | 803 followers, following 729 accounts—near 1:1 follower-to-following ratio with no meaningful social clout advantage |
| Activity authenticity | 17/17 | 2148 contributions last year across 4 activity types, 15 years of consistent activity, last contribution yesterday—no fake activity signals, the issue is contribution substance, not activity volume |
Red flags
- Impact quality cap violation: The uncapped base score of 74.8 was 14.8 points above the documented 60 ceiling for accounts with docs/site/examples-heavy impact, requiring a manual haircut to align with scoring rules.
- Weakly verified core impact: Only 9 of 27 verified file-level PR samples are core code changes, despite 574 claimed PRs to kubernetes/kubernetes—only 1 verified core PR to that repo appears in the sample.
- Bulk PR padding: 57% of recent merged PRs are bulk [codex] dumps into starryjog/football-research-sandbox, a 1-star external personal repo, with 9 trivial PRs in the recent 30-PR sample.
- Docs-heavy contribution profile: 81% of recent external PRs are documentation or translation work, with recent external doc-like PR ratio at 0.81.
- Low-quality top original project: Your top-starred original repo (AI-Infra, 229 stars) is a learning-path docs aggregator with a quality score of 0.55, not a usable engineering project.
- Unverified high PR volume: 1019 of your 1046 claimed popular-repo impact PRs have no file-level sample to verify they are substantive core contributions.
Score calibration The base script score of 74.8 was well above the documented 60 ceiling for accounts with docs/site/examples-heavy impact, so a -10 manual haircut was applied to bring the final score in line with that cap. No other adjustments were made.
Verdict This profile needs human review before it can be trusted as a substantive engineering contributor. The high PR volume and "Kubernetes Contributor" label are overshadowed by docs-heavy work, unverified core impact, and clear contribution padding from bulk PRs to a low-star personal repo.