medivhX

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Does this work with private repos? Or only public GitHub repos?

Does this work on mobile browsers? Or is it desktop/GPU only?

Is this aimed at undergrads or practicing engineers? What's the math background needed?

Hi HN,

I’ve been following the development of Clawdbot (a local AI OS) and realized that while the core project is brilliant, there’s a steep learning curve for non-hardcore developers—especially when it comes to 24/7 deployment on hardware like the new Mac Mini M4.

I built getclawdbot.org to bridge that gap. My goal is to make it the "missing manual" for the project. A few things I’ve added beyond the official README:

Hardware Optimization: Deep dives into why Mac Mini is the ideal low-power host.

Searchable Troubleshooting: I’m indexing common errors (like the notorious Gateway Pairing issue) to save people hours of debugging.

Skill Showcase: A more visual way to explore what these agents can actually do (browsing, Notion sync, etc.).

It’s still early days, and I’m actively adding more skill guides and local-first automation tips. I'd love to hear your thoughts on what’s missing or what local AI use cases you're most excited about!

Hi HN,

Crawl4AI is an amazing open-source library that solves many LLM-scraping headaches, but I found that new developers often struggle with production configurations—specifically how to use it with MCP servers for Cursor, or how to bridge it with automation tools like n8n.

I built crawl4ai.dev as a community-driven documentation hub to fill these gaps. It includes:

One-click Docker setups for n8n/FastAPI.

Production-ready MCP server guides for Cursor & Claude.

Cost/performance benchmarks vs proprietary tools like Firecrawl.

The goal is to help everyone build self-hosted, affordable AI data pipelines. I'd love to hear your feedback on the guides or what other integrations you'd like to see documented!