I would like to sort comments by the level of the author’s expertise in whatever they are discussing. HN is a goldmine, but finding valuable knowledge within heated or elaborate discussions requires too much commitment to read through everything.
A weighted number of a comment’s upvotes is one signal. However, I can often tell when an author has deep knowledge or comprehensive experience with a subject just by reading their comment.
Do you think it might be possible to automate that kind of judgment?
I would really love that to be possible. It is ultimately, I suspect, one of the Hard Problems of epistemology / epistemic systems.
Diverging slightly: truth is not a popularity contest. The "wisdom of crowds" concept argues that crowds are, on average, more intelligent than individuals, even expert individuals. In practice ... crowds are subject to their own biases and failures. While uninformed (or lightly-informed) opinion may be better than no opinion, expert opinion tends to be superior to both ... though of course it is also subject to biases (co-option of motives, ideological and academic conservativism, etc.). Still, there are times when the popular winner is quite evidently not the most informative or relevant winner. Reddit is especially subject to this (and more so in the past couple of years than previously based on my very rare sojourns there).
Ultimately the question of a rating / moderation / ranking system is what do you want to optimise for? I'd written on this about a decade back now:
LLM AI seems like it might offer either a way of weighting individual votes in their appropriate areas of expertise, or offering its own assessment of relevance based on specific criteria (say: truth valance, significance, novelty). I still suspect it's not the sort of thing that's easily obtained. And is probably beyond the scope of an HN search tool.
And so long as we're all divulging secrets here ...
I've hacked the HN CSS to my own liking, links in my profile. Most of that's styling and such.
What's not included there is something I find useful: some visual tweaks to not specific contexts (users/sites) of interest.
As examples, it might be handy to recognise admin comments and posts immediately. Or YC hiring notices. Or people or sites you find particularly clueful. Or perhaps not.
I've found it useful, and a little classification goes a long way (long tails, Zipf functions, etc., etc.).
As long as people are throwing suggestions your way, it might cool if we could sort by either Votes or Comments rather than just "popularity" which is seemingly just sorting by votes. A lot of posts will only have 30-50 votes but over a hundred comments which makes them hard to find even by searching.
The one other: a URL-based selector for comments vs. posts. That's one thing Algolia seems to be missing. It defaults to post search, I'm usually looking for comments. That's one additional step, which isn't fatal but is vaguely annoying.
I think that's my main gripes / wants.
And I'm a heavy user of Algolia and other search tools, so I think that's a reasonably complete set.
Will definitely make sure to add that to our search before launch! That is a really good idea.
>Improved date-bounding interface
Note taken :)
We also have negated terms which will work the same way.