rss-proxy VS hnrss

https://github.com/damoeb/rss-proxy/ (specifically https://github.com/damoeb/rss-proxy/#quickstart-using-docker)

Thank you for that. I haven't tried https://rssproxy.migor.org/ either but I'll definitely add it to my list. Other similar services I'm aware of include:

I have been using https://github.com/damoeb/rss-proxy which has been pretty good so far for the websites that I want to monitor that don't have an RSS feed.

I'm using it every day, that's what happens to it. Many sites provide their own feeds and those which don't can often be fed to something like rss-proxy [1] which will create a feed (or several feeds) based on an XPath query [2]. This can be self-hosted so you don't have to inform external entities about your feeding behaviour.

[1] https://github.com/damoeb/rss-proxy

[2] e.g. here's how to get Göteborgs Posten (a Swedish newspaper which ditched its feed some time ago) in an RSS feed reader (Atom is also supported through ...&o=Atom) - note that this is an example.org domain so the link does not work as is - https://rssproxy.example.org/api/feed?url=https://gp.se&pCon...

Surprisingly I haven't immediately found software which has received more attention that rss-proxy (1300 Github stars). I've installed the program, but it fails to detect some or all desired elements on specific websites and there's no way to adjust from what I can see. Politepol fails to build on my system and to my knowledge doesn't support Javascript (on websites) when self-hosting.

It might be possible to setup an RSS proxy https://github.com/damoeb/rss-proxyhttps://rssproxy-v1.migor.org/ <- might work outright:

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/