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I found 56% of my Claude usage was re-reading my own context, so I built a tool to catch it

I built optimAIzr, an open-source AI usage optimizer for Claude Code + Codex. I work as a senior SWE so I got curious where my Claude usage was actually going. In my own logs, 56% of the cost was Claude re-reading my existing conversation (which I shared here last night as well). Coming back to long sessions after the cache expired was especially painful: I did it 35 times in 27 days, and those first messages cost $98.74 at API prices vs $2.95 with a warm cache. So I built

五维评分

付费意愿
58
需求真实度
68
个人可落地
88
竞争空间
55
新鲜度
82

AI 分析

痛点:Claude Code / Codex 用户在长会话中因缓存过期被迫重读上下文,产生大量隐性 token 成本却难以察觉和量化。

目标用户:高频使用 Claude Code / Codex 的个人开发者与 AI 编码团队(尤其按 API 付费或关心用量上限的人)。

证据:56% of the cost was Claude re-reading my existing conversation... I did it 35 times in 27 days, and those first messages cost $98.74 at API prices vs $2.95 with a warm cache. / I also cut my own claimed savings from $121/mo to $13/mo after checking the numbers again.

变现:开源 CLI 免费获客 + 付费团队版 Dashboard(多账号聚合、成本归因、月度节省报告订阅),或按席位订阅的 CI/团队用量治理服务。

MVP:2 周内做一个本地 CLI:解析 Claude Code/Codex 日志中的 token 与 usage 元数据,输出会话成本排行、缓存即将过期实时提醒、以及「避免浪费」的节省金额估算,无需账号、纯本地。

竞品:ccusage、Claude Code Usage Monitor、CCSeva

摘要:一位资深 SWE 发现自己 56% 的 Claude 成本花在重读自身上下文上,27 天内因缓存过期重开长会话 35 次,首次消息按 API 价需 $98.74,而热缓存仅 $2.95。他据此做了开源工具 optimAIzr,本地读取用量元数据并提供缓存过期预警、会话成本排行与逐条成本提示。数据具体、痛点真实且已被自身验证,但原帖为免费开源发布,未出现他人付费意愿原话。