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You can do exact URL matching that way, but that leaves out a great many related threads. That limitation doesn't show up in this case but see e.g. https://news.ycombinator.com/item?id=36713263 - same story, but very different articles and URLs.

Here's a recent case that would be even harder to automate because it's tracking the same story over quite a long period of time: https://news.ycombinator.com/item?id=36713290.

If anyone knows how to write code to build those sorts of lists, I'd love to know about it! the nice thing is that the relevant data is all public so anyone who wants to work on it can.



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