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After scanning 1M+ posts for app ideas, here's what separates a real problem from a "nice idea"

My own app ideas always sounded good in my head, but I could never point to one person who actually had the problem. So over the past months I built a pipeline that reads public discussions, filters out the noise and uses AI to spot posts where someone describes a real problem. It has gone through 1M+ posts so far. About 0.4% got past the first filter, and only around 40% of those held up as a real need. What I learned: Look for workarounds, not wishes. "Someone should build X" mea

五维评分

付费意愿
40
需求真实度
55
个人可落地
85
竞争空间
35
新鲜度
55

AI 分析

痛点:求职者在多个招聘网站标签页之间反复浏览,无法记住哪些职位已经看过,只能用笔记或 Trello 手动标记;同时,独立开发者缺少低成本验证真实需求的手段。

目标用户:高频投递的求职者(尤其是同时打开十几个招聘页面的白领岗位求职者),以及需要验证 idea(想法)的独立开发者

证据:Job seekers keep losing track of which postings they've already seen across all their tabs. Most fall back on notes or Trello. A small browser extension that fades jobs you've seen and highlights new ones would solve it. / Look for workarounds, not wishes. "I wrote a bash script that emails me a CSV every Monday" means a lot. / It publishes one of these write-ups for free each week, and paid packs are coming later.

变现:浏览器扩展免费安装,并通过订阅(每月 3 到 5 美元)或一次性买断来解锁多设备同步与职位追踪看板;后续可拓展为企业版或求职 coaching 导流

MVP:用 Chrome/Edge 扩展实现:自动识别招聘页职位 ID、本地记录已浏览状态、已看职位淡出、新职位高亮、按站点分组的小面板;纯前端 + chrome.storage,两周内可上线,先覆盖 LinkedIn/Indeed/Wellfound 三个站

竞品:Huntr、Teal、Simplify、GapScout、IdeaBrowser

摘要:作者用 AI 流水线扫描了 100 万+ 帖子,仅 0.4% 通过初筛,其中约 40% 被判定为真实需求。他给出的本周案例是:求职者在多个标签页间丢失已看过的职位,靠笔记或 Trello 手动记录。作者已将此做成 Needler 项目,每周免费发一篇分析,付费包后续推出,但尚无真实付费数据。