---
title: "Comment by StackShortlist on \"Treating Expired Domain Research Like a Query Problem\" | Hashnode"
description: "Treating it as a query against noisy data is the right frame. I use the same approach for B2B lists: filter companies by a tool that leaves a visible trace on t"
url: "https://hashnode.com/posts/treating-expired-domain-research-like-a-query-problem/6ad08274949d175d0dfdec8f/comment/6ad1b5e7e590e9538035eaf0"
---

[Discussion](https://hashnode.com/posts/treating-expired-domain-research-like-a-query-problem/6ad08274949d175d0dfdec8f)

Comment [Treating Expired Domain Research Like a Query Problem](https://hashnode.com/posts/treating-expired-domain-research-like-a-query-problem/6ad08274949d175d0dfdec8f)

[StackShortlist](https://hashnode.com/@veristria)

[Oct 16](https://hashnode.com/posts/treating-expired-domain-research-like-a-query-problem/6ad08274949d175d0dfdec8f/comment/6ad1b5e7e590e9538035eaf0)

Treating it as a query against noisy data is the right frame. I use the same approach for B2B lists: filter companies by a tool that leaves a visible trace on their site, then check the evidence before trusting the row. That is how [https://stackshortlist.dev](https://stackshortlist.dev/) works. Do you show why a domain matched the content filter?