reddit · SaaS · 09-18 19:50 55 分 ← 返回列表

I tried automating my entire job

Most of the automation tools I tried started after I had already done the annoying part. A customer email, GitHub issue or Slack message would come in. I still had to decide whether it mattered, turn it into a clean task, choose the right coding agent, point it at the right repo, watch the run, move the result back to the original thread, and remember what still needed a reply. The agent could write code. I was still the router. I ended up building an open-source local app

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编码代理能写代码，但开发者仍需手动分诊、路由和跟踪来自邮件、GitHub Issue、Slack的任务，缺少本地可控的上下文与审核队列。

目标用户：使用Claude Code、Codex等CLI代理的独立开发者、小团队工程负责人和需要管理多来源请求的技术团队。

证据：The agent could write code. I was still the router. / I ended up building an open-source local app around that gap. / The repo crossed 102 stars this week

变现：开源核心免费，提供付费托管团队版、企业本地部署、审计日志、团队审核队列、更多连接器和优先支持。

MVP：2周内做最小版：接入Slack/GitHub/邮件收件箱，用LLM将消息分诊为任务/草稿/忽略，调用一个CLI代理执行编码任务，结果回帖到原线程，并提供人工审核队列，SQLite本地存储。

竞品：Devin、Sweep、OpenHands、Cursor、Claude Code、Codex、GitHub Copilot Workspace、n8n、Zapier

摘要：Reddit r/SaaS 用户发布开源本地应用 Taskuary，解决 AI 编码代理之前的任务分诊、路由和上下文回传缺口；支持 Claude Code、Codex、Gemini、Qwen Code 等 CLI，本地 SQLite，无账号和遥测，MIT 许可，本周 GitHub 达到 102 星。帖子未展示收入或明确付费意愿，变现更可能来自托管团队版、企业部署和审计/审核功能。