🏆 Notable contributions
Popular open-source repos they've shipped to (commits + PRs)
Score breakdown
🛠 Featured work
Their own popular and pinned repositories
程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程，分享 OpenClaw 保姆级教程、大模型玩法（DeepSeek / GPT / Gemini / Claude / GLM）、最新 AI 资讯、Prompt 提示词大全、AI 知识百科（Agent Skills / RAG / MCP / A2A）、AI 编程教程（Harness Engineering）、AI 工具用法（Cursor / Claude Code / TRAE / Codex / Copilot）、AI 开发框架教程（Spring AI / LangChain）、AI 产品变现指南，帮你快速掌握 AI 技术，走在时代前沿。本项目为开源文档 aiguide，已升级为鱼皮 AI 导航网站
JavaScript程序员鱼皮的编程宝典 ⭐️ 2026年最全编程学习路线图！包含Java学习路线、前端学习路线、Python学习路线、C++学习路线、算法学习路线、计算机基础学习路线、AI应用开发学习路线、AI Agent开发学习路线等。提供编程入门教程、AI大模型应用开发教程、RAG开发实战、MCP开发教程、Prompt工程指南、LLM应用开发、技术知识分享、学习资源推荐、项目实战教程、热门面试题、求职经验、简历优化、编程自学指南等内容，适用于所有零基础学编程、学习AI开发、转行程序员、计算机专业学生、求职找工作的同学 💎 编程学习，就来编程导航！
TypeScript持续维护的企业面试题库网站，帮你拿到满意 offer！⭐️ 2026年最新Java面试题、前端面试题、AI大模型面试题、AI Agent面试题、RAG面试题、C++面试题、Go面试题、Python面试题、测试面试题、运维面试题、后端面试题、操作系统面试题、计算机网络面试题、Redis面试题、MySQL数据库面试题、算法面试题、Spring面试题、JVM面试题、Java并发面试题、Linux面试题、LLM面试题、Prompt工程面试题、系统设计面试题等1万多道高频程序员求职必备八股文。面试刷题就选面试鸭 💎 React 前端 + Node 后端 + 云开发全栈项目 by 程序员鱼皮
TypeScript程序员鱼皮原创项目，免费的闯关交互式 SQL 自学教程网站，从零基础到进阶，带你掌握常用 SQL 语法（MySQL、SQLite、PostgreSQL）、快速学习 SQL 和数据库。支持在线SQL编辑器、实时查询结果、语法高亮、SQL运行广场等功能。纯前端实现，简单易学~
TypeScript✨ 鱼皮的新项目 - 极客范儿的浏览器主页 💻 Vue 3 + Node.js 全栈项目，自实现 web 终端 + 命令系统，很适合想进阶前端的朋友学习
TypeScript2026 年最新的免费编程资源大全，持续更新！🔥 覆盖各种语言和方向（Java / Python / C++ / JavaScript / TypeScript / Golang / 前端 / 后端 / AI大模型应用开发 / AI Agent开发等）的学习路线、零基础入门教程、项目实战教程、经典编程书籍、面试题合集、求职经验分享、简历模板、开源项目推荐、开发工具推荐、实用技术资源等，对程序员和计算机专业学生非常有帮助！⭐️ 学编程，先收藏这个仓库！
HTML🧬 Stack & domains
🧬 Most similar developers
Closest profile, nearby score
🔥 Full roast
🔥 With 23.7k followers treating a 16.5k-star AI doc site as a treasure, 4 of your 12 high-star contributions are doc/site polishing gigs, 75% of your external PRs are just README edits and doc updates,
liyupi — 59.60/100 · NPC (Average · Unremarkable)
TL;DR: 23.7k followers and 67.9k stars can't hide that your GitHub is a learning resource storefront with barely any core engineering impact, and your ecosystem score got capped so hard you took a 9-point haircut before the judge even finished reading.
| Dimension | Score | Notes |
|---|---|---|
| Account maturity | 10/10 | Registered 9.34 years, active across 10 contribution years, last activity 0 days ago — nearly a decade of GitHub presence, all spent building learning resource repos instead of core engineering. |
| Original project quality | 14.3/18 | 88 original repos, 67,915 total stars, top starred repo ai-guide has 16,494 stars with a 0.77 quality score — but your highest-starred repos are all AI/learning resource navigation and tutorial sites, not usable engineering projects, so those stars are mostly newbies bookmarking learning materials, not code quality praise. |
| Contribution quality | 17/27 | 14 merged PRs out of 25 total, 1 maintainer-closed unmerged PR, 1 author-closed own-repo PR, 0 author-closed external PRs — but 75% of your recent external merged PRs are doc/README updates, and only 1 of 5 verified impactful PRs touches core code, so most of your contribution work is polishing docs on other people's projects or updating your own resource repos. |
| Ecosystem / maintenance impact | 4/20 | All-time, 12 PRs + 460 commits across 20 popular repos (7 of these contributions lack file-level verification samples) — but 4 of 5 verified PRs are doc-like, with only 1 core code PR, so your all-time popular-repo impact is almost entirely docs/site/examples work, which is why the score was capped at the maximum allowed 4/20. |
| Community influence | 8/8 | 23,757 followers, only following 30 accounts — your 792:1 follower-to-following ratio is pure content creator clout, not a signal that people value your code contributions. |
| Activity authenticity | 15.3/17 | 396 contributions last year, active across 4 activity types — but 11 of your 14 recent merged PRs are commits to your own repos (mostly yuzi-generator for tutorial series content), so your activity is mostly content production for your learning audience, not independent engineering delivery. |
Red flags
- Your all-time popular-repo contributions are overwhelmingly docs/site/examples work: only 1 of 5 verified impactful PRs is core code, and 75% of your recent external merged PRs are doc/README updates, which is why your ecosystem impact score was capped.
- You have two identical closed/unmerged translation PRs to GitHub Global, a minor sign of bulk contribution behavior.
- Your 67,915 total stars are almost entirely concentrated on AI/learning resource navigation and tutorial repos (like ai-guide with 16,494 stars) rather than usable engineering projects, so the star count reflects newbie bookmarking behavior, not code quality recognition.
Score calibration No extra adjustment beyond the -9 point haircut applied to enforce the 60-point ecosystem impact cap: your popular-repo contributions are docs-heavy and have almost no verified core engineering impact, so the base score of 68.6 was reduced to 59.6 to comply with the cap requirement.
Verdict Needs human review — your GitHub profile has the polished look of a successful open-source contributor with 23k followers and 67k stars, but nearly all of your work is learning resource content and doc tweaks, with barely any substantive core engineering impact to back up the clout.