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Alternatives

Products that do what CodeBurn does

See where your AI coding spend actually goes

  1. 1

    Spotify Wrapped for Claude, Codex & a Public leaderboard.

    Jun 2026

  2. 2
    Recost130

    Your API costs fully visible.

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  3. 3

    Codebase-aware spec engine for Cursor, Claude Code & Lovable

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  4. 4

    Transform Coding Sessions & Code into a System of Context

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  5. 5

    See exactly how much you spend on Claude, across every tool

    Mar 2026

  6. 6

    Persistent memory for AI coding agents

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  8. 8

    Open source, free, local debugger for AI agents

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  9. 9

    Get a free design audit powered by AI

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  10. 10

    Measure how much of your code is AI-generated. Open source.

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  11. 11

    Strava for your coding assistants

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  12. 12

    Browse, search & track costs across Claude Code sessions

    Apr 2026

  13. 13

    A browser that remembers everything and can act on anything

    Jul 2026

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    Track AI CLI spending across Claude, Codex & Gemini in 40ms

    Feb 2026

  15. 15
    Burn2

    Cost-tracking for AI Agents

    19d ago · burn.maferland.com

  16. 16
    Skilled76

    Dashboard to find agent skills you no longer need

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  17. 17

    Local semantic search for AI agents

    30d ago · tryreference.com

  18. 18CS

    Hi HN, I built *CodeDrift*, a CLI tool that detects bugs commonly introduced by AI coding assistants like Copilot, Cursor and ChatGPT. Over the last year I noticed that AI tools often generate code that compiles correctly, passes linting and looks reasonable in code review but still contains subtle issues. Some common examples I kept seeing: * async `forEach` loops that never await promises * missing authorization checks (IDOR) * hallucinated dependencies that don’t exist * stack traces leaking sensitive information * request data used without validation These bugs often slip past ESLint,…

    Mar 2026 · npmjs.com

  19. 19TT

    I use Claude Code, Codex and Cursor (and sometimes Antigravity) basically every day, and could never tell how much I was actually consuming across all of them. So I built TokenMaxxer. A small CLI reads the files these tools already write locally and puts it all in one dashboard, broken out by tool, model, provider and day. It covers 18 tools now, and you get a profile page with your daily activity, cost estimates, and your top models and tools. There's also a global leaderboard if you want to compete against other TokenMaxxers! I'd love to see if anyone can beat the first place (currently…

    Aug 2026 · tokenmaxxer.xyz

  20. 20OS

    I’ve been working on Code2Docs, an open-source CLI tool that helps developers automatically generate inline documentation (docstrings + comments) for Python code using AI. It’s built to solve a common problem I’ve faced (and seen often in teams): We code by "vibe" — fast iterations, minimal docs, and then forget what the logic was months later. Code2Docs helps bridge that gap by documenting as you go — without breaking your flow. Right now it supports function-level documentation. Planned features include: - README.md generation for projects - API endpoint docs - Database schema…

    2025 · code2docs-open-source.netlify.app

  21. 21

    Track your AI coding usage, trends, insights in one place.

    8d ago · usageatlas.com

  22. 22CA

    Hi HN, I'm Martin from Codehooks / RestDB. Today I’m excited to share Codehooks Analytics, an open-source web analytics tool designed to help you track traffic and user interactions across your websites or applications—without relying on third-party services or cookies. After setup of the tracking script on your web site, it gives you full control over your raw data. What's included? - JS tracking script - for clicks and custom events - Front-end dashboard written using AlpineJS, TailwindCSS, DaisyUI - User authentication - so only you and your colleagues can use the dashboard - Backend…

    2024

  23. 23LC

    Hi HN, I'm building Librarian (https://uselibrarian.dev/), an open-source (MIT) context management tool that stops AI agents from burning tokens by blindly re-reading their entire conversation history on every turn. The Problem: If you're building agentic loops in frameworks like LangGraph or OpenClaw, you hit two walls fast: Financial Cost: Token usage scales quadratically over long conversations. Passing the whole history every time gets incredibly expensive. Context Rot: As the context window fills up, the LLM suffers from the "Lost in the Middle" effect. Response latency…

    Feb 2026 · uselibrarian.dev

  24. 24TT

    I use multiple AI tools for work and also my side projects, and the annoying part was to track my costs and token usage across tools. Everytime I had to visit each tool and its respective usage setting to check it and I was losing patience and also was getting hit by surprise limits Now I know that there are already free/open-source trackers for Cursor or Claude usage, and they are useful if that is all you need. My problem is broader as I wanted one small place to see tokens, spend, subscriptions and limits across the AI tools I actually use. I was really tired of switching tabs and…

    Jul 2026 · lifehacksgermany.com

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