last30days

Automate cross-platform trend intelligence gathering by filtering recent content from Reddit, X, and the web, then synthesizing discussions and articles into a single brief with pattern highlights and sentiment signals. This requires providing a topic to generate a 30-day trend report.

Yes, you can synthesize sentiment signals and recurring themes from Reddit and X discussions. The skill combines multi-platform data to highlight overall community vibe and detect patterns, delivering ready-to-use prompts and concrete actions for content planning.

Yes, you need Brave Search API and Bird CLI to collect recent web trends. These dependencies handle data collection across Reddit, X, and the web, enabling the skill to apply its 30-day freshness filter and output actionable trend intelligence.

The best way to filter web content for the most recent trends in the past 30 days is using an automated freshness filter that pulls only recent articles and discussions. This approach yields cross-platform synthesis, pattern detection, and ready-to-use outputs in minutes.

Yes, cross-platform topic intelligence works for competitive intelligence and content planning. It automates freshness filtering across Reddit, X, and the web for the last 30 days, delivering pattern highlights, sentiment signals, and ready-to-use prompts.

Manual research across Reddit, X, and the web yields scattered insights because freshness filtering and cross-platform synthesis take hours. Automating data collection and pattern detection consolidates recurring themes and sentiment signals into a single, actionable brief.