hacker-news-undocumented VS hnrss

If you hover over the timestamp it points back to May 2nd as well.

This is probably from the Second Chance pool.

https://github.com/minimaxir/hacker-news-undocumented?tab=re...

Post with text insted of an URL get a penalty, so it's more difficult that they reach the front page (unofficial faq with more details https://github.com/minimaxir/hacker-news-undocumented?tab=re... )

My suggestion is to repost the link in a new submission (URL only, empty text), and add your explanation as as a comment.

> it's hard to engage without understanding the rules.

On the other hand, if you fully understand them it’s easier for spammers to circumvent them and changes would have to be done way slower (because they’d have to be documented every time).

You’ll sometimes find posts by dang explaining various policies, and there are some sources which try to document the undocumented:

https://github.com/minimaxir/hacker-news-undocumented?tab=re...

It is my understanding some websites (like dev.to) are automatically killed due to a prevalence of low quality posts. But users with showed enabled can still see those and vouch for them, which brings them back alive. Posts may also be flagged by users for a variety of reasons such as the subject having been posted and discussed multiple times in the last few days, essentially making the new post a duplicate.

Hacker News is extremely strongly manipulated. What users see as popularity order is actually the order edited to the moderators' liking.

https://github.com/minimaxir/hacker-news-undocumented#behavi...

https://news.ycombinator.com/chinamod

Are there more?

[0]https://github.com/minimaxir/hacker-news-undocumented

[1]https://news.ycombinator.com/lists

[?]https://www.google.com/search?q=site%3Anews.ycombinator.com+...

>30 karma, same as flagging: https://github.com/minimaxir/hacker-news-undocumented?tab=re...

More things in the unofficial feature list maintained by minimaxir https://github.com/minimaxir/hacker-news-undocumented

Post with an URL in the text are penalized and it is harder for them to reach the front page. https://github.com/minimaxir/hacker-news-undocumented/blob/m...

Not me, because I can't yet, but I can shed some light.

That comment brings nothing to the table. An upvote would have given the same meaning. This is not reddit, and some of us would prefer it to remain different. Low effort comments tend to be downvoted, and interesting ones upvoted.

So uplift your comments, say why you are thankful, what will be your use case, where you wouldn't use the OPs icons, ... give some information, not just noise.

Here [0] is some more information about downvotes.

[0] https://github.com/minimaxir/hacker-news-undocumented#downvo...

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/