211–220 of 283 posts
Earlier quoted context omitted.
Host your own Nitter instance and you'll be able to get RSS feeds
That’s gotten pretty hard to do recently since Musk cracked down on api access
Newsfeeds are really nice, I utilize them now 20 Years or so (RIP old Bloglines). But it's a bit sad that there is no really good newsreader for it. I also used to use Usenet in the 90s and early 2000, so my view on this is a bit different, maybe. But all the feedreaders I know are either very limited in abilities, or very cumbersome to use for more advanced features. It's really strange how there seem many technophi…
Reeder if you're on MacOS/iOS. Most beautiful RSS client on the market. Feedly for a web client (paid sub required though)
Feedly on the other hand makes me puke. Slow AF. AI plastered all over. Despite trying Pro+ tons of paywalled option which you learn require upgrade after you did feed setup.
Feedly is horrible.
My biggest problem so far is that the RSS data is often very lacking (body, images, etc) and that there are still lots of content I'd like to filter out by sentiment. Like if I follow a technology outlet I don't want to know that there's an absolute steal on Sonos Arc on Bestbuy because I'm generally not into consuming and I live in northern Europe.
I have high hopes for ML to populate the RSS data and filter content like this. I want to experiment with this.
I started doing this a couple of years ago. In fact, I found this post when going through my RSS after breakfast. My biggest problem so far is that the RSS data is often very lacking (body, images, etc) and that there are still lots of content I'd like to filter out by sentiment. Like if I follow a technology outlet I don't want to know that there's an absolute steal on Sonos Arc on Bestbuy because I'm generally not…
I am a big proponent of RSS, but I think that it suffers from a lack of imagination these days, for example, the "quality filter" approach mentioned in this article is not very useful imo. The biggest cost of RSS feed items as a consumer is figuring out whether something is worth reading. A lot of feeds these days don't provide anything useful in the body to make a determination on this, and others just dump the enti…
I'm working on an RSS feed reader, and it has a feature that solves that problem. For every subscribed feed, it shows the percentage of items that you actually bookmark and read. So if there are feeds that you subscribed to but don't read, you can easily find out which they are and unsubscribe from them.
It's called https://lighthouseapp.io
A good algorithm is a good thing. However what a good algorithm is for me is often different from what it is for those who maintain them. Outrage gets attention and sometimes it is needed, but there is a level of too much, and also a lot of outrage unfairly represents the issues and so it makes me mad even though if I understood the details I wouldn't be mad just concerned. I want an algorithm that surfaces things of…
A long long time ago before reddit, facebook, digg, twitter, etc, there was usenet. It worked a bit like reddit but subreddits were called news groups. There were many front ends for usenet, called news readers. My favourite was "nn" short for "no news". It showed you posts in groups you're subscribed to, allowed you to post comments, etc. When you had finished getting up to date it would EXIT and print: No news. (Is…
I started doing this a couple of years ago. In fact, I found this post when going through my RSS after breakfast. My biggest problem so far is that the RSS data is often very lacking (body, images, etc) and that there are still lots of content I'd like to filter out by sentiment. Like if I follow a technology outlet I don't want to know that there's an absolute steal on Sonos Arc on Bestbuy because I'm generally not…
Seems like your issue is with your RSS reader not RSS itself. You most likely also don't need LLM to filter content a word filter would catch...
Rules are supported in the free plan as well, so it's easy to try out.
Plus it has a new feature which shows the ratio of bookmarked articles for feeds, which makes it easy to know which feeds to unsubscribe if it becomes too much.