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AI · alternatives · 2026

24 alternatives to CodeBurn

See where your AI coding spend actually goes

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    Built 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…

    Apr 2026 · github.com · its alternatives →

  2. 2

    Spotify Wrapped for Claude, Codex & a Public leaderboard.

    Jun 2026 · whoburnedmore.com · its alternatives →

  3. 3
    Freebuff▲310

    Free coding agents to kill Claude, Cursor, Replit, and Devin

    Aug 2026 · freebuff.com · its alternatives →

  4. 4

    Measure the full AI SDLC. From token to production.

    Apr 2026 · waydev.co · its alternatives →

  5. 5

    Track your AI spend and connect it to business outcomes

    Aug 2026 · rippling.com · its alternatives →

  6. 6

    Free AI tool to audit and optimize online forms

    2024 · metaforms.ai · its alternatives →

  7. 7

    See what your Claude Code sessions actually cost

    Jul 2026 · langwatch.ai · its alternatives →

  8. 8
    Recost▲130

    Your API costs fully visible.

    Apr 2026 · recost.dev · its alternatives →

  9. 9

    Transform Coding Sessions & Code into a System of Context

    Mar 2026 · xhawk.ai · its alternatives →

  10. 10

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

    Mar 2026 · github.com · its alternatives →

  11. 11

    Simple to install, powerful command-line based AI agent system for coding. - bhouston/mycoder

    2025 · github.com · its alternatives →

  12. 12

    I made Buildermark to see exactly how much of my code is generated by my coding agents vs what I was writing by hand. For this project, it ended up being 364 agent conversations writing 94% of the code. Browse all of those here: https://demo.buildermark.dev/ It matches edits by your coding agents (scans history in `~/.claude`, '`/.codex', etc.) with git commit diffs. It does formatting-agnostic matching to be robust against auto-formatting and reorganizing code. It's open source and local only, not even any analytics. Everything is automatic... just run the app, open…

    Apr 2026 · buildermark.dev · its alternatives →

  13. 13

    Persistent memory for AI coding agents

    Apr 2026 · contextpool.io · its alternatives →

  14. 14

    Hey HN, I’m Henry, cofounder and CTO at Span (https://span.app/). Today we’re launching AI Code Detector, an AI code detection tool you can try in your browser. The explosion of AI generated code has created some weird problems for engineering orgs. Tools like Cursor and Copilot are used by virtually every org on the planet – but each codegen tool has its own idiosyncratic way of reporting usage. Some don’t report usage at all. Our view is that token spend will start competing with payroll spend as AI becomes more deeply ingrained in how we build software, so understanding how…

    2025 · code-detector.ai · its alternatives →

  15. 15

    ChunkHound’s goal is simple: local-first codebase intelligence that helps you pull deep, core-dev-level insights on demand, generate always-up-to-date docs, and scale from small repos to enterprise monorepos — while staying free + open source and provider-agnostic (VoyageAI / OpenAI / Qwen3, Anthropic / OpenAI / Gemini / Grok, and more). I’d love your feedback — and if you have, thank you for being part of the journey!

    Jan 2026 · github.com · its alternatives →

  16. 16

    Hey HN, We’re two developers (co-founders) with a team of 20 who got tired of spending hours reviewing PRs, so we built Infinitcode.ai, an AI-powered code reviewer that: - *Summarizes PRs in plain English*: No more deciphering 1,000-line diff jungles - *Catches more than bugs*: Security holes, performance pitfalls, code smells, even typos (yes, we’ll flag “vurnerabilities” and vulnerabilities) - *Zero onboarding*: Works instantly—no “let me learn your codebase for weeks” nonsense. Why we’re posting: We’re in alpha and need brutal honesty. Roast our tool, mock our UI, or tell us why AI will…

    2025 · infinitcode.ai · its alternatives →

  17. 17
    Coderrr▲96

    Open source CLI-first AI coding companion

    Jan 2026 · coderrr.aksn.lol · its alternatives →

  18. 18

    Hey HN! I built Retain as the evolution of claude-reflect (github.com/BayramAnnakov/claude-reflect). The original problem: I use Claude Code/Codex daily for coding, plus claude.ai and ChatGPT occasionally. Every conversation contains decisions, corrections, and patterns I forget existed weeks later. I kept re-explaining the same preferences. claude-reflect was a CLI tool that extracted learnings from Claude Code sessions. Retain takes this further with a native macOS app that: - Aggregates conversations from Claude Code, claude.ai, ChatGPT, and Codex CLI - Instant full-text…

    Jan 2026 · github.com · its alternatives →

  19. 19

    I wanted to share a project I’ve been working on called Frugal Tokens. I originally built it because I was curious to see how much all of my sessions cost and how much cache misses affected that spend. I’d noticed people had widely different spend profiles and wanted to better understand what might contribute to that. As I’ve worked on this, the tool has grown to show more usage patterns across all of your sessions. It shows overall usage, estimated working time and overlapping sessions, and where your spend is coming from across models and cache misses. I also have a few session level…

    Aug 2026 · demo.frugaltokens.com · its alternatives →

  20. 20

    Save AI tokens & sharpen your coding agents

    Sep 2026 · boost.jfrog.com · its alternatives →

  21. 21

    Your AI agent is burning 6x more tokens than it needs to just to browse the web. We built OpenBrowser MCP to fix that. Most browser MCPs give the LLM dozens of tools: click, scroll, type, extract, navigate. Each call dumps the entire page accessibility tree into the context window. One Wikipedia page? 124K+ tokens. Every. Single. Call. OpenBrowser works differently. It exposes one tool. Your agent writes Python code, and OpenBrowser executes it in a persistent runtime with full browser access. The agent controls what comes back. No bloated page dumps. No wasted tokens. Just the data your…

    Apr 2026 · openbrowser.me · its alternatives →

  22. 22

    oken-usage , cost-tracking , ai-coding-agent

    Jun 2026 · pypi.org · its alternatives →

  23. 23

    Measure your pull requests!

    2020 · codekickbot.com · its alternatives →

  24. 24
    Burn▲2

    Cost-tracking for AI Agents

    Aug 2026 · burn.maferland.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →