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Ai Products
ASecurityCurate 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.
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- Added September 27, 2026
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npx -y skills add David-Li0406/meta-skill-evloving --skill ai-products --agent claude-codeAre you the author of Ai Products?
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[](https://www.skillsdirectory.com/skills/david-li0406-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_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](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]"
Files in this skill
- SKILL.md
- TEMPLATE.md
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