See what people actually say about any topic in the last 30 days, ranked by real engagement across Reddit, X, YouTube, TikTok, Hacker News, Polymarket, and GitHub, not editorial picks.
Install the skill or give me an instruction how to install it - last30days from https://github.com/mvanhorn/last30days-skill Free Open source Works in Bash, Read, Write, AskUserQuestion, WebSearch
Give it a topic, a person, a company, a product, or an "X vs Y" matchup, and it tells you what people are actually saying about it right now. It reads Reddit, X, YouTube, TikTok, Hacker News, Polymarket, and GitHub in parallel and ranks what it finds by real engagement, upvotes, views, and money on prediction markets, rather than whatever an editor decided to feature.
First it works out who matters for your topic, the right handles, subreddits, repos, and hashtags, then it collects, scores, merges duplicate stories, and has an agent judge write it up. You get one grounded brief with cited sources and verbatim quotes, plus a "Best Takes" section of the sharpest reactions. Add --emit=html for a self-contained file, or flags like --competitors and --hiring-signals to steer the brief.
Get what people are actually saying right now across Reddit, X, YouTube, and more, ranked by real engagement.
Run an X-vs-Y query and get a grounded brief with cited sources and verbatim quotes.
It scores results by engagement instead of picks, and can save a self-contained HTML brief.
last30days focuses on the last 30 days, so you see what people are saying about a topic right now rather than older evergreen posts. It is built for current sentiment.
last30days scores results by real engagement across its sources, merges duplicate stories, and has an agent judge synthesize them. Ranking comes from what people engaged with, not an editor's picks.
last30days first resolves who matters, the relevant handles, subreddits, repos, and hashtags, then searches every source in parallel. It targets the right corners before ranking.
Turn one research request into parallel pulls from 15 platforms including Twitter, Reddit, YouTube, GitHub, Bilibili, Xiaohongshu, and LinkedIn, each routed through whichever backend works right now.
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