An open-source project called last30days-skill crossed 60,000 stars on GitHub this week, landing on the platform's daily trending list twice in three days S¹S². The repository, built by developer mvanhorn, is an AI agent skill that searches Reddit, X, YouTube, Hacker News, Polymarket, and the open web in a single query, then writes a summary grounded in what it finds S¹S². The reason it is climbing so fast sits in a line from the README: "Google search doesn't touch Reddit comments or X posts" S¹. Whether that claim holds up under scrutiny is the question everyone forwarding this repo should be asking before they install it.
My read: This is the first agent skill I have seen that treats social platforms as first-class search sources rather than afterthoughts. The star count is real and impressive for a seven-month-old project. But I don't buy the competitive claims yet. The README says ChatGPT "can't search X or TikTok" and Gemini "has YouTube but not Reddit" S¹, and those are the maintainer's assertions, not an independent audit. What I would watch is whether anyone actually tests the output quality against manual search. Sixty thousand stars means people are starring, not necessarily that the tool works as advertised.
What the tool claims to do
The project describes itself as "an AI agent-led search engine scored by upvotes, likes, and real money, not editors" S¹S². The idea: instead of relying on Google's ranking algorithm or an LLM's training data, the skill pulls live posts from platforms where human attention has already filtered signal from noise. Reddit upvotes, Hacker News points, YouTube engagement, and Polymarket prediction markets are all relevance scores.
The README tracks the current v3 pipeline S¹S², and the runtime skill specification lives in a file called skills/last30days/SKILL.md within the repository S¹S². According to deep research notes, the project was created on 23 January 2026 and carries an MIT licence, with 5,095 forks and 139 open issues at the time of the most recent repository snapshot P⁵.
An earlier launch thread preserved in the repository's docs folder mentions that v2.5 added Polymarket as a sixth source, describing prediction markets as a way to "help you predict the future" P³. That thread also notes the project gained 3,200 stars in its first 30 days P³, a fraction of the 60,000 it now holds.
The gap it targets
The README makes specific competitive claims about what existing AI tools cannot reach. It asserts that Google search does not surface Reddit comments or X posts, that ChatGPT has a Reddit deal but cannot search X or TikTok, that Gemini has YouTube but lacks Reddit, and that Claude has none of these platforms natively S¹S².
These are the maintainer's characterisations, not independently verified comparisons. Platform integrations change frequently, and a claim that was accurate when written may already be stale. But the broader point lands: no single AI assistant today can query all six of these sources in one pass. Each has carved out its own walled garden of data partnerships, leaving gaps that a tool like this attempts to bridge from the outside.
The installation options reflect that bridge strategy. The README lists Claude Code's marketplace as the recommended path, along with Codex, Cursor, Copilot, Gemini CLI, and what it calls "50+ Agent Skills hosts" via the command npx skills add mvanhorn/last30days-skill S¹S². Reddit, Hacker News, Polymarket, and GitHub reportedly work with zero configuration, while a setup wizard enables X, YouTube, TikTok, arXiv, and Techmeme after a single run S¹S².
Why 60,000 stars matters
The repository appeared on GitHub's daily trending list in two separate snapshots: one on 28 August showing 409 new stars and 59,815 total S¹, and another on 31 August showing 230 new stars and 60,723 total S². Those are different days, not a combined figure, but the trajectory is clear. The project is still gaining stars at a rate of hundreds per day seven months after launch.
For context, two comparable repositories surfaced in the deep research notes. A project called ai-ml-scraper, which searches HuggingFace and arXiv, has a single star P⁴. Another called ai-news-agent, which runs a news aggregation site, also has one star P⁶. The last30days-skill repository is in a different category of adoption entirely.
The author states plainly in the README: "I built it to keep up in AI" S¹S². That motivation, keeping pace with a field that moves faster than any individual can track, is the same one driving the star count. The tool promises to compress hours of manual browsing across six platforms into a single query.
The README includes an illustrative example using the name Peter Steinberger to show what the output looks like, mentioning details about joining OpenAI and shipping pull requests S¹S². This is a demonstration, not a verified search result or biographical record.
What to do about it
The practical appeal here is narrow but real. Consider a startup founder preparing for a pitch meeting who needs to know what developers are saying about a competitor's new API on Reddit, what the reaction looks like on X, and whether prediction markets are pricing that competitor's next product launch up or down. Today, that means opening six tabs, scrolling each platform, and mentally weighting the signals. The last30days-skill aims to collapse that into one prompt.
For teams already using Claude Code, Cursor, or Copilot as daily development tools, the skill slots into an existing workflow rather than requiring a new app. The zero-config sources (Reddit, HN, Polymarket, GitHub) are the safest starting point. If you want to try it this week, install via the Claude Code marketplace or run npx skills add mvanhorn/last30days-skill, then test it on a topic you already know well. Compare the summary against your own manual search. That is the only way to judge whether the upvote-and-likes ranking actually surfaces better signal than your own scrolling.
What we don't know yet
No independent review or test of the tool's search quality exists in the evidence. The 60,000 stars tell us people are interested, not that the output is reliable. The competitive claims about Google, ChatGPT, Gemini, and Claude are the maintainer's assertions and may already be outdated as those platforms add new integrations. The 139 open issues on the repository P⁵ point to active bug reports that could affect functionality.
The setup wizard's claim that it enables X, YouTube, TikTok, and arXiv in 30 seconds S¹ is a README assertion with no third-party verification. Platform API access for X and TikTok in particular has been a moving target, and rate limits or authentication requirements could constrain what the tool actually retrieves.
The next signal: watch for the repository's v3 pipeline release notes and any independent benchmark comparing last30days-skill output against manual multi-platform search. We will check the star trajectory and issue resolution against the next GitHub trending snapshot in September.
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Sources: S1 — mvanhorn/last30days-skill: AI agent skill that researches any topic ac · S2 — mvanhorn/last30days-skill: AI agent skill that researches any topic ac · P3 — docs/v2.5-launch-tweets.md · P4 — labrat-0/ai-ml-scraper · P5 — mvanhorn/last30days-skill · P6 — wyh0626/ai-news-agent
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