SuperAPI AI Directory

last30days-skill - An open-source cross-platform AI Agent real-time comment research tool

Author: AI小集 · Original source: AI工具集

What is last30days-skill

last30days-skill is an open-source AI Agent research skill that lets Agents automatically scrape real discussions from major overseas social platforms over the past 30 days and synthesize a report with citations. The tool deeply crawls Reddit comments, highly upvoted X replies, full YouTube transcripts, TikTok engagement, Polymarket odds, etc., ranking by real human participation. last30days-skill supports intelligent topic parsing, cross-source story clustering, automatic competitor comparison, and shareable HTML briefings, helping users quickly grasp the real community consensus and latest developments on any topic.

last30days-skill

Main features of last30days-skill

  • Cross-platform deep aggregation: Searches in parallel across more than ten platforms including Reddit, X, YouTube, TikTok, HN, Polymarket, GitHub, and Bluesky, scraping comments, replies, full transcripts, and odds data.
  • Real popularity ranking: Scores by human participation signals such as upvotes, likes, views, and Polymarket odds.
  • Intelligent pre-research: After a topic is entered, it automatically parses related entities, such as X accounts, GitHub repositories, subreddits, and TikTok hashtags, then searches precisely.
  • Cross-source clustering and merging: When the same story appears on different platforms, it is automatically merged into one entry to avoid duplication.
  • Shareable HTML briefing: Generates a self-contained dark-mode HTML file that can be placed directly into Slack, email, or Notion.
  • GitHub personal mode: For people-related topics, it automatically switches to author-dimension queries, showing PR merge rate, star count, and release activity.
  • ELI5 mode: One-click rewriting of complex reports into an easy-to-understand plain language version.
  • Automatic competitor comparison: Supports --competitors parameter to automatically discover and compare leading competitors in parallel.
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How to use last30days-skill

  • Install the skill: Claude Code users run /plugin marketplace add mvanhorn/last30days-skill and /plugin install last30days; other hosts run npx skills add mvanhorn/last30days-skill -g。
  • First run: Enter /last30days <话题>, and the four zero-configuration sources Reddit, HN, Polymarket, and GitHub work immediately.
  • Unlock more sources: Follow the prompts to configure X browser login, install yt-dlp, or set the ScrapeCreators/Perplexity API Key to enable YouTube, TikTok, Instagram, etc.
  • Generate a briefing: Directly ask /last30days <话题>, give me a shareable HTML brief to get an offline-usable HTML report.
  • Deep follow-up: After the briefing is generated, continue asking questions in the same session, and the AI answers based on the full context already scraped.

Core advantages of last30days-skill

  • Depth over breadth: Supports scraping comments, replies, and full transcripts, where high-quality information is often buried in the comments.
  • Real signal driven: Rankings are decided by humans voting with likes and real money, not by search engine optimization.
  • Multi-platform bridging: Connects more than ten mutually independent platform walled gardens, providing a global perspective at once.
  • Intelligent entity parsing: The v3 engine understands the topic before searching and finds content that v2 cannot discover.
  • Privacy and Open Source: Open source under the MIT License, no tracking or analytics, and all research files are kept on the local machine.

Project address for last30days-skill

  • GitHub Repository:https://github.com/mvanhorn/last30days-skill

Comparison of last30days-skill with similar competitors

Comparison Dimension last30days-skill Perplexity
Product Positioning An open-source AI Agent research skill designed specifically for aggregating real community discussions across multiple social platforms An AI search engine focused on real-time web search and Q&A with cited sources
Coverage More than a dozen social platforms, including Reddit, X, YouTube, TikTok, HN, Polymarket, GitHub, Bluesky, etc. Web pages, news, academic papers, Reddit (partially partnered), YouTube
Content Depth Captures deep data such as comments, highly upvoted replies, full video transcripts, prediction market odds, PR merge rates, etc. Web page summaries, partial Reddit content, academic abstracts, video descriptions
Ranking Mechanism Scored by real human engagement (upvotes / likes / views / odds / stars), anti-SEO Model ranking based on relevance and credibility algorithms
Real-Time Capability Focuses on community activity over the past 30 days and continuously updates based on real popularity Real-time web indexing covering the latest news and events

Use cases for last30days-skill

  • Pre-meeting person research: Enter the target person's name to automatically aggregate their posts, code commits, and community discussions on X, GitHub, Reddit, and other platforms over the past 30 days, generating a dynamic profile more authentic than LinkedIn.
  • Learning new technical concepts: Enter emerging concepts such as "loop engineering" to obtain first-hand community discussions, diverging opinions, and best practices, avoiding reliance solely on second-hand reposted information.
  • Product selection comparison: Enter queries such as "OpenClaw vs Hermes" to generate multi-dimensional comparison reports based on real user feedback, GitHub star trends, and community controversies.
  • Hot event tracking: Enter topics such as "Kanye West new album" or international conflicts to aggregate news, prediction market odds, in-depth YouTube analysis, and social platform reactions for a complete picture of developments.
  • Consumption and travel decisions: Enter items such as "Universal Epic Universe" or electronics to get the latest community feedback on queue times, repair issues, real experiences, and value-for-money discussions.