AI Product Discovery

Name: ai-products
Rating: 76
Author: MarsWang42

Fetch, deduplicate, and rank AI product launches from multiple sources.

Sources

Source	URL	Notes
Product Hunt	`https://www.producthunt.com/feed`	Filter for AI-related
Hacker News	`https://hn.algolia.com/api/v1/search?tags=show_hn&numericFilters=created_at_i>TIMESTAMP`	Show HN posts, 24h window
GitHub Trending	`https://mshibanami.github.io/GitHubTrendingRSS/daily/python.xml`	Python repos
Techmeme	`https://techmeme.com/river`	Product announcements

•
Check cache: Look for 50_Resources/ProductLaunches/YYYY-MM/YYYY-MM-DD-Digest.md. If exists with today's date, return cached.
•
Fetch sources: Use WebFetch on each. Extract product name, URL, description, and engagement metrics (votes/points/stars).
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Filter: Keep only AI-related products (keywords: AI, ML, LLM, GPT, Claude, automation, agent, model).
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Deduplicate: Same product across sources = merge. Keep best description, combine metrics, track all sources.
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Rank by:
- •AI relevance
- •Engagement (normalize: PH votes/500, HN points/100, GH stars/1000)
- •Content potential (tutorial-friendly, review-worthy, open source bonus)
- •Recency and novelty
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Generate digest: See TEMPLATE.md. Sections:
- •Top Picks (3-5) with content angles
- •LLM & AI Models
- •Developer Tools
- •Productivity & Automation
- •Open Source Highlights
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Save files:
- •50_Resources/ProductLaunches/YYYY-MM/YYYY-MM-DD-Digest.md
- •50_Resources/ProductLaunches/YYYY-MM/Raw/YYYY-MM-DD_ProductHunt-Raw.md
- •50_Resources/ProductLaunches/YYYY-MM/Raw/YYYY-MM-DD_HackerNews-Raw.md
- •50_Resources/ProductLaunches/YYYY-MM/Raw/YYYY-MM-DD_GitHub-Raw.md

Manual invocation: Full digest with all sections.

From /start-my-day: Condensed list:

code

**Product Launch Opportunities (5):**
- [Product] - [Angle] - [Top metric]
...
Full digest: [[YYYY-MM-DD-Digest]]