Claude Code Analytics

Analyze your Claude Code session transcripts — token usage, productivity metrics, and insights. Free alternative to Rudel (HN #128).

Session Transcript

Free alternative to Rudel (Claude Code Session Analytics)

100% local analysis • No data sent to external servers • Token estimates based on ~4 chars/token

Why Claude Code Analytics Is Worth Using

Analyze Claude Code transcripts for token usage, topic mix, coding patterns, tools mentioned, and workflow signals so you can understand how sessions actually perform. This page is built for people who want a fast path to a working result, not a vague prompt-and-pray workflow. If you need a more reliable first draft, cleaner output, or a repeatable workflow you can hand to a teammate, Claude Code Analytics is designed to shorten that path.

Most visitors use Claude Code Analytics because they need something specific done now: a deliverable, a decision, or a workflow checkpoint. The sections below show the fastest way to get value from the tool and the adjacent pages that help you keep going.

How to Use Claude Code Analytics

Paste a Claude Code session transcript to turn a long conversation into clearer metrics and workflow insight.

  1. 1Paste the session transcript or conversation log
  2. 2Run the analyzer to extract message and token estimates
  3. 3Review topics, tools used, files referenced, and productivity signals
  4. 4Use the output to refine prompting, workflow habits, or team guidance

Who Is Claude Code Analytics For?

Best for people who want to understand how coding sessions perform instead of relying on vague impressions.

Developers

Review how a coding session actually unfolded and where time or tokens went

AI Workflow Leads

Track patterns across prompting style, output, and session productivity

Teams Standardizing AI Coding

Use transcript analysis to improve shared workflows and training

What a Good Result Looks Like

A strong outcome from Claude Code Analytics is not just “some output.” It should be usable with minimal cleanup, aligned to the task you opened the page for, and specific enough that you can paste it into the next step of your workflow without rewriting everything from scratch.

If the first pass feels too generic, use the use cases, FAQs, and related pages here to tighten the scope. That usually produces better results faster than starting over in a blank chat.

Frequently Asked Questions

What kind of data does this analyze?
It analyzes pasted Claude Code session text to estimate message counts, token usage, topics, files, tools, and general workflow characteristics.
Why look at analytics for coding sessions?
Because better visibility into session patterns makes it easier to improve prompting, reduce waste, and standardize higher-quality workflows.
Who gets the most value from this?
Developers and teams using Claude Code regularly who want clearer feedback on how their AI-assisted coding sessions are actually operating.

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