What problem does it solve? Platform-by-platform recaps of social discussion bury the actual story: the same narrative appears on Reddit, X, and Hacker News with different sentiment, and flat "top posts" lists miss that divergence. This Skill clusters cross-platform discussion into narratives and surfaces where communities disagree, which is usually the most actionable signal. ## Core Features & Use Cases - Cross-platform research: Queries Reddit (public JSON API), X (via the X.AI Grok x_search API), Hacker News (Algolia API), Polymarket/Kalshi prediction markets, and long-form web articles within a configurable lookback window. - Narrative clustering and sentiment splits: Deduplicates shared URLs, clusters items by anchor tokens, ranks narratives by cross-platform presence and divergence, and maps per-platform sentiment (bull/bear/mixed/neutral). - Snapshot deltas: Compares against a prior run stored in memory to report what is NEW, FADED, FLIPPED, or HEATING since the last snapshot. - Use Case: Ask what people are saying about a crypto project or AI model over the last month, and receive a report with a verdict, ranked narratives with direct quotes, a contrarian view, a sentiment map, prediction market odds, and open questions. ## Quick Start Research what people are saying about Solana Firedancer across Reddit, X, Hacker News, and the web over the last 30 days.