CabLate — 我打造 AI 基礎設施，開源它，然後用同一套東西經營自己的事業。
I build AI infrastructure, open-source it, and run my business on it.
我做的不是單純的 AI 工具展示，而是把工具、工作流、內容、課程和交付系統串起來，讓 AI 從聊天介面變成能實際運作的工作環境。
Proof: 1,200+ public GitHub stars across MCP servers, Claude Code tooling, and applied AI pipeline projects.
| Looking for... | Start with | What to notice |
|---|---|---|
| Public proof that the tools work | mcp-google-map, banini-tracker | Two 300+ star projects: one infrastructure tool, one end-to-end AI pipeline. |
| Claude Code research and workflow design | claude-code-research, Claude-Code-Board | Research depth plus a practical interface for operating Claude Code. |
| Knowledge systems for AI-assisted work | llm-atomic-wiki | How I structure knowledge so humans and LLMs can reuse it. |
| Non-engineering context | cablate.com | Articles, courses, services, and plain-language AI workflow thinking. |
| Area | Project | Stars | What it shows |
|---|---|---|---|
| MCP Servers | mcp-google-map |  |
Let AI query maps, places, routes, and Street View through MCP. |
| AI Pipelines | banini-tracker |  |
Facebook crawling, transcription, AI analysis, and multi-platform push. |
| Claude Code | claude-code-research |  |
Independent research on Claude Code internals and related tooling. |
| Claude Code | Claude-Code-Board |  |
A Kanban-style interface for operating Claude Code workflows. |
| Knowledge Systems | llm-atomic-wiki |  |
A knowledge organization pattern built for LLM-assisted work. |
Some current work is private because it touches business operations, content systems, and paid delivery. The public version:
- Creator knowledge systems for turning social content into reusable assets.
- Investment signal monitoring pipelines with scheduled analysis and subscriber delivery.
- Finance workflows where AI does the first pass and humans make the final call.
Reusable pieces will be extracted when they can be shared without exposing private data or creating unmaintained public shells.
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