AskForDax adds AI viewbot detection to Kick stream analytics
AskForDax released `KickStreamAnalytics`, a desktop analytics tool for Kick.com live streamers. The tool features multi-stream monitoring, AI-powered viewbot detection, chat analysis, and comprehensive session reporting without requiring a Kick account or API key. It also includes live notifications, auto-monitoring, and historical data capabilities for Kick streamers.
Key Takeaways
- KickStreamAnalytics supports multiple live streams in independent tabs and a multi-channel monitor for dozens of channels.
- The AI Analysis tab sends 10 minutes of collected stream data to Ollama or Anthropic Claude for viewbot detection.
- Version 1.5 added hidden viewer count detection, 10-second polling, and a token increase.
- The app includes live notifications, Auto Mon, Auto Log, and a Top 100 Kick streamer view from kickstats.com.
- Chat Logs can save session files such as C:\ChatLogs\xqc\chatlog_xqc_20260527_143022.txt for later review.
Why It Matters
KickStreamAnalytics gives Kick streamers a desktop workflow for monitoring live chat, tracking multiple channels, and running 10-minute AI analyses without a Kick account or API key. That matters because the tool combines moderation, analytics, and anti-bot detection in one Windows app, with both local Ollama models and Anthropic Claude supported. The clearest signal to watch is the pace of release updates: v1.5 added hidden viewer count detection, 10-second polling, and a token increase, showing active iteration on the detection pipeline.
Read full article at github.com
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