4 ms·
The process you are describing can be automated a bit. Imagine your feed reader automatically subscribes you to feeds of articles you liked (star/thumbs up/fav
by lonk11 4y ago
The process you are describing can be automated a bit.
Imagine your feed reader automatically subscribes you to feeds of articles you liked (star/thumbs up/favorite). Let's say you start subscribed to an HN feed of items that got more than 100 upvotes: https://hnrss.org/newest?points=100&count=100 https://hnrss.org/newest?points=100&count=100
Then you find the OP link and like it in your feed reader: https://www.niemanlab.org/2022/12/this-is-the-year-of-the-rss-reader-really/ https://www.niemanlab.org/2022/12/this-is-the-year-of-the-rs...
Your reader automatically subscribes you to the source feed of this article: https://feeds.feedburner.com/NiemanJournalismLab https://feeds.feedburner.com/NiemanJournalismLab
You like more content => you get subscribed to more feeds automatically.
Your feed reader can also take care of unsubscribing you from feeds that are posting too often or are not posting interesting to you content. If you don't like the content of a feed for awhile then your connection to that feed becomes weaker and the content from that feed is ranked less prominently. The content from feeds with a high signal-to-noise ratio (ie, how often you like content from that feed) is ranked higher for you.
This is how my little project https://linklonk.com https://linklonk.com works. If you'd like to give it a try: "thumb up" a few items from the above HN feed: https://linklonk.com/feed?url=https:%2F%2Fhnrss.org%2Fnewest%3Fpoints%3D100 https://linklonk.com/feed?url=https:%2F%2Fhnrss.org%2Fnewest... and then check your recommendations on the home page.
Through this mechanism I am currently subscribed to 201 RSS feeds and I know that I won't miss content from high "signal-to-noise ratio" feeds. Here is a sample of my top feeds:
https://blog.piekniewski.info/feed/ https://blog.piekniewski.info/feed/
https://bam.kalzumeus.com/archive/rss/ https://bam.kalzumeus.com/archive/rss/
https://karpathy.github.io/feed.xml https://karpathy.github.io/feed.xml
https://blog.cryptographyengineering.com/feed/ https://blog.cryptographyengineering.com/feed/
https://www.inference.vc/rss/ https://www.inference.vc/rss/
https://openai.com/blog/rss/ https://openai.com/blog/rss/
https://stratechery.com/feed/ https://stratechery.com/feed/
https://medium.com/feed/@yonatanzunger https://medium.com/feed/@yonatanzunger
https://rachelbythebay.com/w/atom.xml https://rachelbythebay.com/w/atom.xml
https://openai.com/blog/rss/ https://openai.com/blog/rss/
https://randomascii.wordpress.com/feed/ https://randomascii.wordpress.com/feed/
https://computer.rip/rss.xml https://computer.rip/rss.xml
https://timharford.com/feed/ https://timharford.com/feed/
https://idlewords.com/index.xml https://idlewords.com/index.xml
https://www.youtube.com/feeds/videos.xml?channel_id=UC9-y-6csu5WGm29I7JiwpnA https://www.youtube.com/feeds/videos.xml?channel_id=UC9-y-6c... - Computerphile videos
https://www.granolashotgun.com/granolashotguncom?format=rss https://www.granolashotgun.com/granolashotguncom?format=rss
https://daringfireball.net/feeds/main https://daringfireball.net/feeds/main