last30days-skill: AI integrates and analyzes the last 30 days of data from 17 platforms including Reddit, X, and Polymarket
mvanhorn/last30days-skill
About the project
The search engine ranks information based on actual user reactions rather than editorial standards. It collects data in parallel that reflects the attention and capital of millions of users, such as Reddit upvotes, X likes, YouTube watch time, and actual betting amounts on Polymarket. An AI agent synthesizes this data into a single briefing.

Traditional search engines are limited in access because each platform is a 'walled garden' separated by APIs and authentication. This tool uses user keys and browser sessions to simultaneously penetrate over 17 sources, including Reddit, X, TikTok, GitHub, and arXiv. It ranks results based on Social Relevancy rather than SEO.
It is used for understanding counterparts' recent activities before meetings, analyzing hiring signals, discovering rising tech trends, and monitoring public sentiment after new product launches. For example, searching for a specific person displays real-time metrics such as GitHub commit velocity over the last 30 days, controversies on X, and evaluations on Reddit, instead of a LinkedIn profile.
mvanhorn/last30days-skill
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
Python
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