ai-products

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_资源/产品发布/YYYY-MM/YYYY-MM-DD-摘要.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:

   • 精选推荐 (3-5) with content angles
   • LLM与AI模型
   • 开发者工具
   • 生产力与自动化
   • 开源亮点

7. Save files:

   • 50_资源/产品发布/YYYY-MM/YYYY-MM-DD-摘要.md
   • 50_资源/产品发布/YYYY-MM/原始数据/YYYY-MM-DD_ProductHunt-Raw.md
   • 50_资源/产品发布/YYYY-MM/原始数据/YYYY-MM-DD_HackerNews-Raw.md
   • 50_资源/产品发布/YYYY-MM/原始数据/YYYY-MM-DD_GitHub-Raw.md

Output Format

Manual invocation: Full digest with all sections.

From /start-my-day: Condensed list:

**产品发布机会 (5):**
- [产品名] - [内容角度] - [关键指标]
...
完整摘要: [[YYYY-MM-DD-摘要]]

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 "今日无新AI产品"

Content Angle Logic

• High engagement + tutorial-friendly: "教程机会"
• Novel + early stage: "抢先报道优势"
• Open source + complex: "深度分析"
• SaaS + practical: "工具评测"
• Similar to existing: "对比 vs [竞品]"