hnrss VS nitter

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/

Don't use Youtube without going through a proxy like Invidious [1] or Newpipe

Don't use {site} Search without going through a proxy like SearxNG [2]

Don't use TwiXXer without going through a proxy like Nitter - this has gotten more difficult lately but it still works as long as you feed the daemon some registered accounts. Video does not work at the moment but that seems to be fixable.

Don't use Reddit without going through a proxy like libreddit [4]

Start noticing the pattern? Maybe it is time to start producing promotional posters:

The only thing to come between you and ADS could be a proxy / ADS. I'ts just not worth the risk

ADS / New rules for a sane net / Sane net protects you, your partner and your community

A proxy here and a filter there, ADS nowhere

The more you tighten your grip, ${site}, the more viewers will slip through your fingers

[1] https://github.com/iv-org/invidious

[2] https://github.com/searxng/searxng

[3] https://github.com/zedeus/nitter

[4] https://github.com/libreddit/libreddit

https://nitter.esmailelbob.xyz/liuzhuang1234/status/17601959...

(bit of trial and error from https://github.com/zedeus/nitter/wiki/Instances)

I assume this is why Nitter got slammed and is on the verge of breaking.

https://github.com/zedeus/nitter/issues/1154

The creator of the project left this comment an hour ago:

https://github.com/zedeus/nitter/issues/1155#issuecomment-19...

(HN removed the deep link to the specific comment from the title)

Most of the time you can just replace twitter.com with nitter.net or nitter.it but when these instances are down or blocked you can use other instances listed here: https://github.com/zedeus/nitter/wiki/Instances

But as the other commenter said Libredirect is the way to go: https://libredirect.github.io/

Use a Youtube proxy like Invidious [1], problem solved and you get to subscribe to channels without telling the Beast about your interests. Add Sponsorblock (which supports Invidious) to get rid of any in-stream advertising which remains and you'll be transported back to those hallowed times of yore when men were men, women were women and advertising was something you found in newspapers. Youtube will try to make this harder just like Xitter is trying to make it harder to use proxies like Nitter [2].

[1] https://github.com/iv-org/invidious

[2] https://github.com/zedeus/nitter

njal.la restored nitter.net, and replied with their reasons: https://github.com/zedeus/nitter/issues/1150#issuecomment-18...

tbh I can totally understand why they acted this way.