Twitch → ChatGPT → Discord: Stream Analytics Pipeline

Use the Twitch API to fetch stream performance metrics including viewer counts, chat activity rates, follower growth, subscription events, and clip creation timestamps. Aggregate data per stream session and compare against historical averages to identify trends. Capture chat sentiment indicators like emote usage patterns and message velocity spikes.

Append each stream session's metrics to a running Google Sheets log that tracks performance over weeks and months. Calculate rolling averages, growth rates, and session-over-session comparisons. This historical dataset gives the AI a much richer context for identifying what is actually working versus one-off anomalies.

Analyze the stream metrics and historical trends with ChatGPT to identify peak engagement moments, content types that drive the most interaction, and opportunities for audience growth. Generate actionable recommendations for stream scheduling, content strategy, and community engagement tactics. ChatGPT also suggests specific game or topic choices based on what has historically driven follower growth.

Post the analytics summaries and growth insights to a private Discord channel for your mod team or a public channel for community transparency. Use Discord embeds for rich formatting and include comparison charts described in text to visualize progress over time. Pin particularly important insights so they remain accessible for the team to reference during future stream planning.