ai-products

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Curate AI product launches from Product Hunt, Hacker News, GitHub, and Techmeme. Use when user invokes /ai-products or when /start-my-day needs product launches.

MarsWang42 By MarsWang42 schedule Updated 1/25/2026

name: ai-products description: Curate AI product launches from Product Hunt, Hacker News, GitHub, and Techmeme. Use when user invokes /ai-products or when /start-my-day needs product launches.

AI Product Discovery

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

Workflow

  1. Check cache: Look for 50_Resources/ProductLaunches/YYYY-MM/YYYY-MM-DD-Digest.md. If exists with today's date, return cached.

  2. Fetch sources: Use WebFetch on each. Extract product name, URL, description, and engagement metrics (votes/points/stars).

  3. Filter: Keep only AI-related products (keywords: AI, ML, LLM, GPT, Claude, automation, agent, model).

  4. Deduplicate: Same product across sources = merge. Keep best description, combine metrics, track all sources.

  5. 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
  6. Generate digest: See TEMPLATE.md. Sections:

    • Top Picks (3-5) with content angles
    • LLM & AI Models
    • Developer Tools
    • Productivity & Automation
    • Open Source Highlights
  7. 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

Output Format

Manual invocation: Full digest with all sections.

From /start-my-day: Condensed list:

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

Error Handling

  • Source down: Continue with others, note in digest
  • <2 sources available: Fall back to yesterday's archive
  • Empty results: Create minimal digest noting "No new AI products"

Content Angle Logic

  • High engagement + tutorial-friendly: "Tutorial opportunity"
  • Novel + early stage: "First-mover advantage"
  • Open source + complex: "Deep dive analysis"
  • SaaS + practical: "Tool review"
  • Similar to existing: "Comparison vs [competitor]"
Install via CLI
npx skills add https://github.com/MarsWang42/OrbitOS --skill ai-products
Repository Details
star Stars 859
call_split Forks 99
navigation Branch main
article Path SKILL.md
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