🎓 CS Sophomore at Sichuan University | 🤖 AI Full-stack / Agent Development
📍 Chengdu | 🧠 ENTP | 🛠️ TypeScript-first Maker | ⚽ Football Fan
I'm a product-minded builder who likes turning real-life friction into small but usable products.
Most of my projects start from a stuck point: travel ideas that never become trips, thoughts that are hard to say, learning plans that are hard to estimate, or repeated manual work that should become a tool.
Code is the material I use most often, but what keeps me building is the act of shaping an idea into something other people can actually use.
If you know my nickname, you probably know I'm a Real Madrid fan. Football has always taught me persistence and the joy of building something bigger together.
- 🤖 How AI can become part of real life instead of another chat box
- 🧩 What makes people move from intention into action
- 🛠️ How repeated friction turns into reusable workflows
- ✍️ How builders, documents, and AI agents can collaborate better
- ✨ Interesting hackathons and builders who care about ideas.
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Open Collaboration · Co-creation Invitation A lightweight skill experiment for helping humans and AI agents build better collaboration habits in small and early-stage projects.
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📸 clishotCLI Tool · Built & Usable Turns terminal output into clean screenshots for reports, docs, blogs, and agent-generated workflows.
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Chrome Extension · Built & Usable Calculates remaining watch time in Bilibili video collections so learners can plan their time better.
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Full-stack Business Systems · Collaboration Collaborative hotel booking and management systems with production-like business workflows.
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🧭 TripKinMobile H5 Product · Evolving Prototype A travel companion product for turning travel intent into destination discovery, bottles, companion matching, and profile assets.
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💬 zuitiAI Application · Evolving Prototype An expression assistant for moments when people know what they mean but do not know how to say it well.
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🍽️ MealMuseMonorepo Skeleton · Foundation A "what should I eat?" decision assistant idea with a Taro + NestJS + shared package workspace foundation. |
AI Agent Study · Learning Project An exploration of AI conversation UI, streaming responses, tool-calling ideas, and agent-style product interaction. |
- 🧠 ENTP: strongest when a problem has enough room to explore, connect, and turn into something usable
- 📍 Based in Chengdu
- ⚽ Football Fan: Real Madrid | Chengdu Rongcheng | China national team
- 🚇 Cities & transport: metro systems, aviation, routes, timing, and movement — small systems that quietly shape daily life
- 🤖 Building AI full-stack products that feel useful outside demos
- 🧩 Exploring agentic workflows that help people take the next step
- 🛠️ Turning repeated manual work into practical tools
- 🤍 Hala Madrid
Ideas don't score. Products do.