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.
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.
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?
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:
<https://web.archive.org/web/20200629055317/https://www.reddi...>
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.
But I love the suggestion.
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.).
Comments to a posts from a specific domain might also be useful. HN exposes that in its story syntax and I'm pretty sure that's in the API as well.
Other feature requests/ideas would definitely be appreciated.
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.