Rudel – Claude Code Session Analytics
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…
In plain words
Rudel is an analytics platform that provides visibility into Claude Code sessions by tracking efficiency, abandonment rates, and performance metrics. It analyzes session data to identify patterns such as skill usage, task-type success rates, and early error indicators that predict abandonment. Built after the creators realized they lacked insight into their own daily Claude Code usage, the tool processes real session data to establish benchmarks for agentic session performance and help users understand which sessions succeed and why.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
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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