last30days-skill
last30days is an AI agent skill that researches any topic across recent social, web, video, developer, and prediction-market sources, then synthesizes what people are actually saying right now.
Overview
last30days helps AI agents produce recent, grounded research by searching across social platforms, developer communities, video platforms, prediction markets, and web sources, then synthesizing practical summaries based on current discussion signals.
Core Features & Capabilities
Ideal for AI researchers, marketers, founders, product builders, content strategists, social media teams, trend analysts, startup operators, newsletter writers, creators, developers, market researchers, growth teams, journalists, and AI agent users who need fast answers based on what people are discussing right now.
- Research any topic across recent social, web, video, developer, and prediction-market sources
- Find what people are actually saying, upvoting, liking, watching, recommending, and debating
- Use slash-command workflows inside Claude Code and compatible AI agent harnesses
- Generate grounded summaries, trend briefs, source clusters, and current community sentiment
- Support research for content strategy, product validation, market monitoring, startup ideas, and AI tool discovery
Trending Use Cases
Why Researchers Choose last30days
Visit the last30days GitHub repository, review the README and skill spec, then install the skill through the supported Claude Code marketplace workflow or compatible harness setup. Start by running a command such as last30days followed by a topic, product, industry, creator idea, trend, or research question. For richer results, use clear topics and include the audience or market angle you care about, then review the generated summary, source clusters, social signals, and research notes before using the output in strategy, content, product, or market analysis.
“last30days helps AI agents research what people are actually discussing right now, across social platforms, web sources, developer communities, and prediction markets.”
Getting Started with last30days
By combining last-30-days freshness, multi-source social and web coverage, engagement-aware signal gathering, source clustering, grounded summaries, and slash-command agent workflows, last30days gives researchers and builders a practical way to understand current market conversations faster.
Open the tool and review its core product experience.
Create your account or access your existing workspace.
Use your own task to judge speed, quality, and fit.
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last30days-skill
Matt Van Horn is the creator of last30days, an open-source AI agent skill focused on recent social research, trend discovery, Reddit and X analysis, YouTube and TikTok signals, Hacker News research, Polymarket monitoring, GitHub discovery, and grounded last-30-days synthesis.
last30days is an open-source AI agent skill built to research what people are discussing, recommending, debating, liking, upvoting, watching, betting on, and sharing across the last 30 days. Instead of relying only on static web search or outdated articles, the skill gathers recent signals from sources such as Reddit, X/Twitter, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, Bluesky, Truth Social, and the wider web. It then synthesizes grounded summaries, trend analysis, ranked findings, source clusters, and community sentiment. The project is designed as a slash-command skill for Claude Code and compatible agent harnesses, making it useful for trend research, market research, creator research, product research, startup validation, content strategy, AI tool discovery, and fast briefing workflows.
github.com/mvanhorn/last30days-skill
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