AI Fire Daily

#79 Robin: How the "Last 30 Days" Agent Feeds Claude Code Raw Market Sentiment

July 29, 2026·18 min
Episode Description from the Publisher

Normal web search inside Claude Code is broken-it just feeds you the same polished, heavily-optimized articles that everyone else is reading. But a trending open-source GitHub repo called "Last 30 Days" just gave Claude the ability to bypass Google and scrape the raw, messy truth directly from the comment sections of Reddit, X, and TikTok.We’ll talk about:The "Last 30 Days" GitHub skill and why it’s the ultimate middle ground between a shallow web search and a 20-minute, token-burning "deep research" run.Why the real alpha isn't in the headlines, but in the scraped comments, Reddit threads, and Hacker News debates that normal AI web searches completely ignore.How this open-source tool runs parallel cross-platform scrapes to analyze user sentiment (and when you actually need to spend the $0.10 for the xAI API key).The exact workflow to use this for product launches and trend spotting, using cross-platform ranking so one loud Reddit complaint doesn't hijack your entire dataset.Keywords: Claude Code, Last 30 Days GitHub, AI market research, LLM web search, Reddit sentiment analysis, Hacker News, X API, Anthropic, Deep Research alternative, AI workflow automation, open-source AI agents.Links:Newsletter: Sign up for our FREE daily newsletter.Our Community: Get 3-level AI tutorials across industries.Join AI Fire Academy: 700+ advanced AI workflows ($14,500+ Value)Our Socials:Facebook Group: Join 295K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials

Podzilla Summary coming soon

Sign up to get notified when the full AI-powered summary is ready.

Get Free Summaries →

Free forever for up to 3 podcasts. No credit card required.

Listen to This Episode

Get summaries like this every morning.

Free AI-powered recaps of AI Fire Daily and your other favorite podcasts, delivered to your inbox.

Get Free Summaries →

Free forever for up to 3 podcasts. No credit card required.