Show HN: Rudel – Claude Code Session Analytics

📰 Hacker News · keks0r

Rudel.ai provides analytics for Claude Code sessions, offering insights into session efficiency and abandonment rates, and is free and open source

intermediate Published 12 Mar 2026
Action Steps
  1. Connect your Claude Code sessions to Rudel.ai to collect data
  2. Analyze session efficiency and identify abandonment patterns
  3. Use the analytics to optimize session performance and improve task completion rates
  4. Explore the open-source code and contribute to the development of Rudel.ai
  5. Apply the insights from Rudel.ai to inform Claude Code session best practices
Who Needs to Know This

Developers and data scientists on a team can use Rudel.ai to optimize their Claude Code sessions and improve productivity, while managers can utilize the analytics to identify areas for improvement

Key Insight

💡 Claude Code session analytics can reveal surprising patterns, such as low skill usage and high abandonment rates, and inform strategies for improvement

Share This
📊 Unlock insights into your Claude Code sessions with Rudel.ai, a free and open-source analytics tool 🚀

Key Takeaways

Rudel.ai provides analytics for Claude Code sessions, offering insights into session efficiency and abandonment rates, and is free and open source

Full Article

We built rudel.ai after realizing we had no visibility into our own Claude Code sessions. We were using it daily but had no idea which sessions were efficient, why some got abandoned, or whether we were actually improving over time. So we built an analytics layer for it. After connecting our own sessions, we ended up with a dataset of 1,573 real Claude Code sessions, 15M+ tokens, 270K+ interactions. Some things we found that surprised us: - Skills were only being used in 4% of our sessions - 26% of sessions are abandoned, most within the first 60 seconds - Session success rate varies significantly by task type (documentation scores highest, refactoring lowest) - Error cascade patterns appear in the first 2 minutes and predict abandonment with reasonable accuracy - There is no meaningful benchmark for 'good' agentic session performance, we are building one. The tool is free to use and fully open source, happy to answer questions about the data or how we built it.
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