Original Summary

This week I used customer discovery module to automatically help me crawl users from X, Reddit, and LinkedIn, and set a goal for the project. When the system is crawling, it will automatically learn and improve the crawling rules based on feedback. However, we will still encounter a more important problem in this process, which is the accuracy of clues. There are many let's connect posts in X. In fact, 90% of these posts are noise. I am thinking about how to improve the accuracy of this precise signal. I am going to try to join Jev in the past two days to make an early judgment. Have you ever used Jev? If you have any good ideas, you can leave them in the comment area. https://preview.redd.it/no61w6iwhdrh1.png?width=1964&format=png&auto=webp&s=86337ab6ddeddd5aa1f8f4b1899c689267c1cb4d   submitted by   /u/OwnPractice8165 [link]   [comments]

  • 情报分类：综合情报
  • 分类依据：内容未命中明确的垂直分类规则，归入综合情报
  • 信息来源：Reddit · SaaS
  • 发布时间：2026/9/24 09:43:30