CrewScore: Discord Community Health Monitor
Tracks engagement decay, toxic member patterns, and retention risk across Discord servers using AI sentiment analysis and activity graphs for community managers.
The Problem
Discord community managers have no systematic way to identify which members are becoming inactive, which conversations are turning toxic, or when the community is losing momentum. They manually scroll through thousands of messages or lose members silently with no warning.
Target Audience
Discord community managers for gaming communities (10K-500K members), crypto/web3 projects, creator fan servers, and indie game studios
Why Now?
AI sentiment analysis is now cheap enough to run continuously on chat history; Discord's creator fund is driving higher-quality community management demand; community managers are increasingly hired roles with real budgets
What's Missing
Existing Discord bots are moderation-focused (spam, slurs), not community health-focused (engagement, retention, early churn signals). Community managers use spreadsheets and gut feeling instead of data.
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