Rudel – Claude Code Session Analytics
Details
- External ID
- 47350416
- Source
- HN
- Company
- —
- Product
- Rudel – Claude Code Session Analytics
- Website domain
- github.com
- Launched
- March 12, 2026
- Cohort
- —
- Upvotes
- 144
- Upvotes percentile
- 0.9372693726937269
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
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.
Enrichment
- Theme
- AI agent frameworks and developer tools
- Vertical
- Horizontal
- Function
- Analytics & BI
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Commercial product
- Normalized one-liner
- analytics for claude code sessions
- Manually corrected
- False
Could you build this?
Yes An analytics dashboard that parses Claude Code log/session files or telemetry and visualizes metrics in a standard web dashboard.
Discussion
20 comments analyzed.
Competitors mentioned: K9 Audit (local causal auditing with hash-chain), Linko (transparent MITM proxy for Claude Code debugging)
Concerns raised: Data privacy and security of uploaded session logs, Whether product complies with Anthropic's terms of service, 26% session abandonment in first 60 seconds suggests prompt or tooling issues, Lack of meaningful benchmarks for agentic session performance across task types, LLMs fail to call tools properly (only 59% of the time)
Feature requests: Per-task-type performance baselines instead of single metric, Local self-hosting option to avoid third-party data uploads, Dynamic context injection with workflow hooks for determinism, A/B testing capability in skill-creator
Competitors
Other products that read as similar to this one — 155 launches clear the similarity bar, closest 8 shown.
Attention rank: #10 of 156 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 127 days after the earliest competitor.
- Rudel · hn · 2026-05-04 · 5 upvotes · similarity 0.71
- Claude's Code · hn · 2026-03-24 · 23 upvotes · similarity 0.46
- Claude Code & Codex Usage Trading Cards by Rudel · ph · 2026-05-04 · 169 upvotes · similarity 0.46
- Agentic Data Analysis with Claude Code · hn · 2026-03-10 · 6 upvotes · similarity 0.45
- Agentmemory · ph · 2026-05-16 · 322 upvotes · similarity 0.44
- Claude Soul · hn · 2026-05-18 · 10 upvotes · similarity 0.43
- Total Recall · hn · 2026-02-05 · 67 upvotes · similarity 0.43
- ClaudeStatsBar · github · 2026-09-11 · 19 upvotes · similarity 0.43
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a analytics & bi tool for Legal yet.