Last30Days: AI Research Across Social, GitHub and the Web
Last30Days is an AI research app. Ask any question and it searches social, video and web sources in parallel, enriches relevant questions with GitHub and Hacker News evidence, adds Polymarket when a question needs event-market odds, filters for the last 30 days, and synthesises a sourced answer with citations on every claim.
What Last30Days searches
- Reddit: community discussions and threads
- X (Twitter): real-time posts and conversations
- YouTube: videos, transcripts, metadata and useful top comments
- TikTok: short-form video and captions
- Instagram: posts and reels
- GitHub: relevant repositories and development signals
- Hacker News: relevant technical and product discussions
- Open web: articles, blogs and news from the last 30 days
- Polymarket: active event markets and probability signals
Useful for
- Competitor research before a pitch, launch or positioning decision
- Trend research across public conversations from the last 30 days
- Product category research before building, buying or changing strategy
- Customer objection research across Reddit, X, TikTok, Instagram, YouTube and the web
- Event-probability research when active Polymarket markets are relevant
Example questions
- What are people saying about my competitor in the last 30 days?
- What objections keep coming up around this product category?
- Which trends are moving across Reddit, TikTok, YouTube and the open web right now?
- What are customers praising or complaining about before a launch?
- What does Polymarket signal about this event?
Why Last30Days
General-purpose chatbots train on stale data and hallucinate sources. Last30Days runs live searches across social platforms, video platforms, the open web and event markets for probability questions, scores results by recency and relevance, and cites every claim back to its original URL. No install, no extension. Just open the app and ask.