Pt Edge
Tracks open-source AI projects across GitHub, PyPI, npm, Hugging Face, Docker Hub and Hacker News for discovery, comparison and trend analysis.
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
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)
The entire system runs on a single server instance for under $300/month.
Quality Scoring
| Dimension | Max | Signals |
|---|---|---|
| Maintenance | 25 | Commit activity (30d), push recency |
| Adoption | 25 | Stars (log scale), monthly downloads, reverse dependents |
| Maturity | 25 | License, PyPI/npm packaging, repo age |
| Community | 25 | Forks (log scale), fork-to-star ratio |
Tiers: Verified (70-100), Established (50-69), Emerging (30-49), Experimental (10-29)
Demand Radar
Every bot hit on the site is latent intelligence. The access logs carry three layers of signal:
- Indexing bots (Meta, Anthropic, Amazon, Google, Perplexity, OpenAI) — what AI companies think will be valuable in future model weights. Each bot has a distinct crawl strategy that reveals its parent company's priorities.
- User-action bots (ChatGPT-User, OAI-SearchBot, Perplexity-User) — what real humans are asking AI right now. Each hit represents a practitioner making a technology decision through an AI intermediary.
- Human visitors — what people find through search engines directly.
The Demand Radar extracts these signals and feeds them into content prioritisation — eventually via trained ML models rather than hand-tuned weights. See scratch/demand-radar/ for the full analysis.
Stack
Python, FastAPI, PostgreSQL + pgvector, LLM enrichment (multiple providers), static site generation via Jinja2 + Tailwind CSS. Hosted on Render. MCP tools and REST API for programmatic access.
Development
This is a production system with no staging environment. The database is a live 1GB+ PostgreSQL instance — queries hit real data. See docs/development.md for setup notes and safety rules.
Documentation
docs/strategy.md— strategic positioning and reasoningdocs/roadmap.md— phased build plandocs/design/worker-architecture.md— task queue and worker designdocs/development.md— development setup and database safetyscratch/demand-radar/— access log intelligence analysis
License
MIT — see LICENSE.
Frequently asked questions
What is Pt Edge?
Tracks open-source AI projects across GitHub, PyPI, npm, Hugging Face, Docker Hub and Hacker News for discovery, comparison and trend analysis.
How do I install Pt Edge?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is Pt Edge open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains Pt Edge?
It is published by grahamrowe82. AI.tn lists it but does not maintain or endorse it.
From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.