reddit · SaaS · 10-12 22:50 75 分 ← 返回列表

I built an open-source tool to understand and optimize Claude Code + Codex usage

I’m a senior SWE using AI coding tools daily. I analyzed my Claude Code transcripts and found 56% of API-equivalent costs went to rereading context . Cache expiry cost me $98.74 across 35 returns in 27 days, versus $2.95 with a warm cache. That led me to build optimAIzr , which now supports both Claude Code and Codex. It analyzes usage, flags expensive patterns, and helps you find optimization opportunities. Runs locally, with no account or prompt uploads. Already at 3k

五维评分

付费意愿

需求真实度

个人可落地

竞争空间

新鲜度

AI 分析

痛点：AI编程工具（Claude Code/Codex）用户因上下文重读和缓存过期产生大量隐性API成本，缺乏本地化分析与优化工具。

目标用户：日常使用 Claude Code、Codex 等 AI 编程工具的开发者、技术团队和工程效能负责人

证据：I analyzed my Claude Code transcripts and found 56% of API-equivalent costs went to rereading context. Cache expiry cost me $98.74 across 35 returns in 27 days, versus $2.95 with a warm cache. ... Already at 3k+ npm downloads.

变现：开源CLI免费+团队付费SaaS：按席位订阅提供云端汇总、成本分摊、预算告警、Slack/邮件报告、团队优化建议；也可做企业自托管授权。

MVP：2周内做出本地CLI：解析Claude Code/Codex本地transcript，统计context reread与cache expiry浪费金额，输出可执行优化建议（如保持缓存热、减少重读、压缩上下文），并生成周报。

竞品：ccusage、Claude Code built-in /cost、OpenAI usage dashboard、Helicone、Langfuse

摘要：作者分析自己的 Claude Code 记录发现 56% API 等价成本花在重读上下文，27天内缓存过期造成 $98.74 额外成本（热缓存仅 $2.95），于是做了开源的 optimAIzr，支持 Claude Code 与 Codex。工具已获 3k+ npm 下载，本地运行、无账号、不上传 prompt，说明 AI 编程成本优化有真实需求。