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JobFoundry : I built an open-source job search pipeline instead of managing 50 tabs and a spreadsheet

I got tired of the way I was managing my job search. Open umpteen tabs on sites like LinkedIn, Indeed, and company career pages. Copy job links into a spreadsheet, prioritise those, spend time to tailor it, apply. Then forget which jobs I actually applied to. So I built JobFoundry. The idea is simple: Browse → Capture → Analyse → Score → Tailor → Track It uses a browser extension to capture jobs while you're actually browsing, then turns them into a structured job-

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：求职者需要在多个招聘网站、表格和邮件之间手动整理职位、定制简历并跟踪申请，过程混乱且重复。

目标用户：积极投递大量岗位的求职者、技术/专业岗位求职者、职业教练或求职辅导机构。

证据：I got tired of the way I was managing my job search. Open umpteen tabs on sites like LinkedIn, Indeed, and company career pages. Copy job links into a spreadsheet, prioritise those, spend time to tailor it, apply. Then forget which jobs I actually applied to.

变现：开源核心+付费云服务：免费本地版，付费提供云同步/备份、高级AI简历定制、多设备、职业教练看板、团队版和API；也可做招聘方/猎头线索变现。

MVP：2周内做浏览器扩展一键抓取职位+简单看板+CV与JD匹配打分，支持本地LLM或OpenAI API，用Stripe加云同步付费墙，先服务10个重度求职者验证付费。

竞品：Huntr、Teal、Simplify、Jobscan、Careerflow、LoopCV、AIHawk

摘要：JobFoundry 是一个开源浏览器扩展，可从50+招聘网站/ATS抓取职位、去重、做CV匹配打分、按真实简历定制文书并用看板跟踪申请。它以本地优先和开源为卖点，瞄准求职流程混乱的痛点，但帖子没有付费意愿或收入证据，且该赛道竞品密集。