reddit-tracker

Reddit trend detection works by tracking engagement velocity and cross-subreddit signals, then normalizing that velocity by subreddit size and time-of-day. It performs multi-signal confirmation and anti-pattern awareness to filter noise and quantify trend confidence.

You can track cross-subreddit trend propagation by applying cross-subreddit correlation and origin tracing. This maps how a trend spreads across multiple subreddits, allowing you to identify the original source and monitor its propagation path over time.

Yes, you can monitor sentiment and discussion quality across multiple subreddits simultaneously. The skill applies sentiment analysis and discussion quality assessment to filter inauthentic signals, quantifying confidence in the detected trends.

You normalize Reddit engagement velocity by adjusting metrics based on subreddit size and time-of-day. This normalization ensures fair velocity comparisons across communities of varying activity scales for robust trend detection.

Cross-subreddit correlation for trend detection is a method that identifies and maps propagation paths of discussions across multiple subreddits. It uses multi-signal confirmation to verify emerging trends and trace their origin points accurately.

Velocity-based trend detection on Reddit faces limitations from noisy signals and inauthentic engagement. The process mitigates this by applying anti-pattern awareness and discussion quality assessment, though highly manipulated content may still generate false positives.