Claude Code & Codex Usage Trading Cards by Rudel
Get your trading card based on your CC & codex usage
Claude Code & Codex Usage Trading Cards by Rudel launched on May 4, 2026 with 169 votes, #153 of 20,538 launches that month and more than 99% of that year's launches.
What it does
Rudel now turns your Claude Code & Codex sessions into a trading card with an archetype based on your pattern. Based on session shape, token usage, model mix, repo breadth, cost intensity, output signals, errors, and patterns. Free, open source, and self-hostable.
Opaline turns Claude Code and Codex session transcripts into team analytics.
Does a similar job
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Rudel – Claude Code Session AnalyticsMar 2026 · github.com · ▲144We 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…
I used Claude Code to discover connections between 100 booksJan 2026 · trails.pieterma.es · ▲524I think LLMs are overused to summarise and underused to help us read deeper. I built a system for Claude Code to browse 100 non-fiction books and find interesting connections between them. I started out with a pipeline in stages, chaining together LLM calls to build up a context of the library. I was mainly getting back the insight that I was baking into the prompts, and the results weren't particularly surprising. On a whim, I gave CC access to my debug CLI tools and found that it wiped the floor with that approach. It gave actually interesting results and required very little orchestration…
Rudel – Claude Code / Codex sessions reveals 9 types of AI coderMay 2026 · app.rudel.ai · ▲5Claude Code / Codex session metadata can actually tell a story about how you work with AI coding agents. 50 days ago we posted about analyzing 1.6k Claude Code sessions from our own team. Skills were used in 4% of sessions, 26% were abandoned early, and we had no real benchmark for what good looked like. Now across 20k+ sessions, we started looking at behavior patterns from derived session metadata: consistency, intensity, session shape, repo breadth, output, cost intensity, and model range. Nine archetypes fell out, which we turned into playful cards. We built a Spotify Wrapped meets…
CodeBurn – Analyze Claude Code token usage by taskApr 2026 · github.com · ▲112Built this after realizing I was spending ~$1400/week on Claude Code with almost no visibility into what was actually consuming tokens. Tools like ccusage give a cost breakdown per model and per day, but I wanted to understand usage at the task level. CodeBurn reads the JSONL session transcripts that Claude Code stores locally (~/.claude/projects/) and classifies each turn into 13 categories based on tool usage patterns (no LLM calls involved). One surprising result: about 56% of my spend was on conversation turns with no tool usage. Actual coding (edits/writes) was…
whoburnedmoreJun 2026 · whoburnedmore.com · ▲91Spotify Wrapped for Claude, Codex & a Public leaderboard.
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