news VS hnrss

Nextcloud running the News app [1] on your own server, either an old laptop/desktop or a SBC like a Raspberry/Orange/Banana/${fruit} Pi. You'll get total control over whatever you do with the thing, as much 'free' cloud storage as you want and loads of other possible services. It runs fine on a Raspberry Pi 4 or one of the equivalent boards from other manufacturers.

Source: I've been running this before the Owncloud/Nextcloud split, it works as advertised.

[1] https://apps.nextcloud.com/apps/news

One of the first things I do when I test aggregator sites like this one is to look for the RSS feed. I may have missed something but I did not find one here - could that be added? It would make it much easier to integrate into my normal 'news flow' which is more or less entirely built around RSS feeds presented through Nextcloud News [1]. I can scrape sites which do not provide their own feed but that is tedious and just increases the load on those sites.

[1] https://github.com/nextcloud/news

NextCloud News (nécessite NextCloud installé)

If you think this is a bug, you should open a ticket here: https://github.com/nextcloud/news

I have contacted next cloud 'News' plugin developer https://github.com/nextcloud/news/discussions/2066 to request automated call to archive.org.

I have received a response:

I don't think archive.org would be very happy if every nextcloud/news install would request they store the CNN frontpage every hour for example. I think this is better suited in feed creation software since that would know exactly when a feed is updated.

Previously I used Nextcloud News and enjoyed it, but recent versions require 64-bit PHP [1], which I didn’t have on the Raspberry Pi. Never did figure out why this requirement was imposed just for the News app.

[1] https://github.com/nextcloud/news/issues/1423

NC News was my first RSS aggregator, back when I was doubing whether I might need something like this at all - now I can't imagine not having one

cross-platform and with an app for android would be Nextcloud News. (https://apps.nextcloud.com/apps/news) - But obviously you'd be needing a nextcloud first.

I'm using Nextcloud already and that has an officially supported RSS daemon app[1]. I mainly use it with this really good Android client[2] (that's on F-Droid) that supports connecting to it (and Miniflux it appears, which I noticed a bunch of mentions in this thread of).

[1] https://github.com/nextcloud/news

[2] https://github.com/bubelov/news

> Newsblur allows you to have precisely those type of keyword filters.

Indeed, many RSS readers do.

See also Hacker News RSS: https://hnrss.github.io

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/