claudebill

See what your Claude Code sessions actually cost

Developer ToolsArtificial IntelligenceGitHubOpen Source

▲ 63 votes1 commentsLaunched Sep 18, 2026

Daily #40Weekly #136

Claude Code already logs every token it bills. claudebill reads those logs and shows cost per session, project, git branch, model, and day, plus what prompt caching saved you. Retroactive, offline, zero dependencies. npx claudebill.

AI Analysis

📝 Summary

claudebill is an open-source CLI tool that parses Claude Code's token billing logs to provide detailed cost breakdowns per session, project, git branch, model, and day. It also quantifies savings from prompt caching. Key USPs include retroactive analysis, fully offline operation, zero dependencies, and easy access via 'npx claudebill'. It solves the pain point of opaque and hard-to-track AI coding expenses for developers using Claude, delivering transparency and actionable insights without setup or data sharing. The value proposition is lightweight, privacy-first cost intelligence to help optimize AI tool spending.

📈 Market Timing

In 2025-2026, AI coding assistants like Claude are seeing explosive adoption in software development, driving up token costs and creating strong demand for spend visibility and optimization tools. With increasing focus on AI ROI amid economic pressures for efficiency, this is a strong fit. Excellent Timing.

✅ Feasibility

High. Technical implementation is straightforward as a log parser with minimal complexity. Development and operation costs are very low due to its offline, open-source nature with no infrastructure needs. No significant supply chain, compliance, or scalability risks for a CLI tool. Strong team fit for solo or small dev teams.

🎯 Target Market

Main segments: Software developers and engineers (ages 25-45) heavily using Claude for coding in Git-based workflows. Industries: Tech, software development, startups. Geographic: Global with high concentration in US, Europe. Estimated market: Part of the multi-billion AI dev tools TAM; SAM ~1M+ Claude API users; SOM tens of thousands of active cost-conscious devs. Core pains: Lack of granular, retroactive cost tracking. High willingness to pay for insights if usage scales.

⚔️ Competition

Low. Direct competitors: 1. Helicone (helicone.ai), 2. Langfuse (langfuse.com), 3. PromptLayer (promptlayer.com), 4. Anthropic Console dashboards, 5. Open-source LLM cost trackers on GitHub. Advantages: Fully offline/privacy-focused, zero-config, git-branch aware, retroactive, completely free. Disadvantages: CLI-only (no UI/dashboards), Claude-specific, lacks real-time or team collaboration features compared to cloud platforms.

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