hnrss VS hn-search

That’s interesting.

I have predictive models that can predict if a headline (w/o the rest of the article and not considering the URL) will (a) get more than 10 votes and (b) if it does get more than 10 votes will the votes/comments ratio be more than 2 (which is roughly average)

The first model gets a ROC-AUC (see https://scikit-learn.org/stable/modules/generated/sklearn.me...) in the low 60’s (not good, the second model gets in the low 70’s (actually pretty good though it is a heat seeking missile for clickbait headlines) and my latest content-based recommender for RSS items gets almost 80. (I saw a paper that one system at TikTok gets about 85)

To do all that you need about 10,000 headlines and don’t get a lot of benefit from having more than 100,000. The ceilings on performance have more to do with the nature of the problem rather than my models: the same article can get submitted twice and get 0 votes one time and 200 the other time so it can never be as accurate as “is this an article about galactic astronomy?”

I had it ingest the HN comments firehose and found the amount of articles was overwhelming, my YOShInOn RSS reader now ingests the “best comments” from

https://hnrss.github.io/

together with 110 other feeds and actually I like the comments it picks out a lot. Now that the system is adding about 3000 items per day it might be able to handle a big feed like the comments firehose since now those comments are diluted with so many quality articles. For a problem like that you might want a two-score system with: (i) is it relevant? (something I like) and (ii) is it popular? (like Google’s PageRank)

I think you could make a model that compares comments in the best comments feed with other comments. I have tried formulating the problems above as regression problems where I try to predict the actual score and it does not work well because of the uncertainty problem but formulated as a classification problem for a score over a threshold it is easy to make a well-calibrated model that tells you “this article has a 20% chance of frontpaging” which is about the best anyone can do.

Subscribe via rss, so you can scratch the curiosity itch and each the FOMO, without coming to the site all the time and looking over the same things 20 times?

https://hnrss.github.io/

https://news.ycombinator.com/item?id=9491978

and this https://hnrss.github.io/

ps i’m ok with some % of false positives, but hopefully a sprinkle of OpenAI could keep that magically low?

thanks

It sounds interesting but I use https://hnrss.github.io/

Unless it had most of the features of hnrss.org I would not be able to use it.

Perhaps you could pivot your approach and submit a PR to hnrss for the feature?

Looks like there's an unmerged PR on the third-party hnrss project that would add this: https://github.com/hnrss/hnrss/pull/84

Check out below link to get a more customized, topic wise rss feeds.

https://hnrss.github.io/

If it's not [flagged], there's no flagging and hence also no flagging ring. baybal2 has been banned on and off for years now https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...

The submitted title was "Gary Killdall, creator of CP/M, wrote Pixar's original 3D renderer".

Submitters: If you want to say what you think is important about an article, that's fine, but do it by adding a comment to the thread. Then your view will be on a level playing field with everyone else's: https://hn.algolia.com/?dateRange=all&page=0&prefix=false&so...

(From https://news.ycombinator.com/newsguidelines.html: "Please use the original title, unless it is misleading or linkbait; don't editorialize.")

Vision therapy for myopia helps some people, but not everyone, likely due to genetic and neuroplasticity differences, https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu.... Nevertheless, many of the principles are useful for children whose eyes and brains are still developing.

I'm a huge Tesla skeptic, but Tesla and Musk are lightning rods for tabloid-style garbage that doesn't belong on HN, so it doesn't surprise me that we often see negative Tesla content flagged to death. Meanwhile we also see plenty of content that hits the front page and stays there [0].

Do you have examples of professional, interesting Tesla content that got flagged?

[0] More than half of the past year's most popular Tesla articles were negative: https://hn.algolia.com/?dateRange=pastYear&page=0&prefix=tru...

It's April 23rd, 2024, and I am still looking for a good, reliable, honest and simple search engine.

All I want to do is search.

No AI.

No ads.

No shopping.

Please don't "Answer my question." I enjoy doing my own original research, thanks.

I'm entirely willing - wanting even - to pay for it.

Currently Kagi has my $, but I'm saddened and frustrated that they're not even focused on Search, they're focused on AI[1] and t-shirts.

Amazingly, in 2024, there is still a market opportunity for a good search engine.

It can't really just be me, can it?

[1]: https://hn.algolia.com/?query=%22kagi%22+%22ai%22

https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...

For historical purposes

Most likely because there have been oodles of low-quality stories on these topics. We turned the flags off on this one since it maybe rises above the noise (see https://hn.algolia.com/?dateRange=all&page=0&prefix=false&so... for past explanations on how we approach that).

Hey HN,

I'm sure you've seen the monthly "Ask HN: What Are You Working On?" headlines on [Hacker News](https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...).

Honestly, it's my favorite topic because it's packed with insights about what other hackers are up to.

I wondered what it would be like if instead of just a headline, there was a whole website where hackers could post daily updates, and where we could follow the hackers we're interested in for their latest updates. And so, this web site was born.

I hope it gets used frequently so we can all benefit from it together. I look forward to hearing your thoughts.

Let me know what you think!

I don't know what one thing you're referring to, but it's a core principle of HN to try to avoid repetition, and especially the repetition+indignation combo, which is the commonest and most tedious thing on the internet.

https://hn.algolia.com/?dateRange=all&page=0&prefix=false&so...

Happy 10,000 day to you

https://news.ycombinator.com/from?site=nand2tetris.org

https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...

https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...