Original Summary

Hey everyone, So i was playing around with Jev and wanted to try it on a problem I personally find annoying which is reading out job descriptions and seeing whether I fit in or not So I made a small Chrome extension that looks at the job + candidate profile and uses Jev to evaluate things like: \- technical/systems overlap \- scope vs. calendar experience \- experience gap \- probability of passing the initial screen The interesting part is that Jev can return structured decisions/scores/probabilities very quickly, so this doesn't need an LLM to generate a huge explanation every time. I put together a short demo showing the whole flow. Would genuinely love feedback from people experimenting with Jev - especially whether this is actually a good use case for it, or if I'm overusing Jev where a simpler approach would be better. Code: [ https://github.com/GauravAhuja7/CareerRadar\](https://github.com/GauravAhuja7/CareerRadar) Demo: [ https://x.com/Gaurav\\\_Ahuja7/status/2101591095369183644?s=20\](https://x.com/Gaurav\_Ahuja7/status/2101591095369183644?s=20)   submitted by   /u/ExplanationQuirky831 [link]   [comments]

  • 情报分类：工作与职业机会
  • 分类依据：内容涉及招聘、求职或职业发展
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/21 01:16:32