Fetch AI product launches from multiple sources and generate structured digest files.
npx skills add https://github.com/dull-bird/DeepOrbit --skill do-ai-products
Please help me install this Agent Skill. Skill: do.ai-products Source: https://github.com/dull-bird/DeepOrbit/tree/main/skills/do.ai-products Command: npx skills add https://github.com/dull-bird/DeepOrbit --skill do-ai-products
This Skill curates and ranks AI product releases from diverse sources, delivering a concise, up-to-date digest for decision making and research.
Run the AI product digest workflow to fetch, filter, and save today's AI product launches.
High-intent search queries and answers about installing and using this skill.
To generate an AI product digest, this Skill fetches data from Product Hunt, Hacker News, GitHub Trending, and Techmeme, then filters and deduplicates the results into a structured report. It uses official feed URLs and applies scoring to summarize key product launches for decision making.
The best way to track AI product launches is using a curation workflow that pulls from Product Hunt, Hacker News, GitHub Trending, and Techmeme. This Skill merges duplicate entries, applies scoring, and outputs a structured digest file featuring LLMs, tools, and open source highlights.
Yes, you can avoid duplicate AI products by applying a deduplication process that merges identical entries across platforms. This Skill combines metrics and selects the best descriptions to ensure your daily digest remains concise and free of redundant product launches.
Generating an AI product digest does not require manual input, as the Skill uses official feed URLs to automatically pull data from Techmeme and GitHub trends. It also checks for a cached daily digest to save time before fetching new data.
AI product launches are scored and ranked by aggregating metrics from sources like Product Hunt and Hacker News. The Skill filters for AI-focused items, applies scoring algorithms, and organizes the final structured digest into sections like Featured Recommendations and open source highlights.
A limitation of caching daily AI product release digests is that the Skill relies on today's existing cached file to save time, meaning on-demand requests might retrieve stale data instead of fetching the latest product launches from Techmeme or GitHub trends in real-time.
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