PT-Edge — AI Infrastructure Intelligence
PT-Edge is a precomputed reasoning cache for AI infrastructure decisions. It tracks 220,000+ AI repos across GitHub, PyPI, npm, Docker Hub, HuggingFace, and Hacker News, scores them daily on quality, and publishes the results as a 220,000+ page directory site.
The site serves two audiences: AI agents reading pages on behalf of humans (structured, front-loaded, machine-readable) and humans reading directly (navigable, trustworthy, original analysis). Every page is designed so an AI agent can land on it and walk away with a confident, citable recommendation in one pass.
Every major AI lab's crawl infrastructure treats the site as a primary data source. The access logs are themselves an intelligence layer — see Demand Radar below.
Directory site: mcp.phasetransitions.ai — 220,000+ pages across 17 domains with 2,400+ categories, updated daily.
Built by Graham Rowe
How It Works
- Ingest — daily pipeline pulls GitHub stats, package downloads, releases, HN posts, HuggingFace models/datasets, and registry data
- Score — composite quality score (0-100) from four dimensions: maintenance, adoption, maturity, community
- Enrich — LLM-generated technical summaries, practitioner-focused assessments, and comparison analyses from READMEs
- Publish — static site generation across 17 domains with structured data, internal linking, and freshness signals
- Observe — bot traffic analysis reveals what the AI ecosystem values (Demand Radar)
