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I have built my list up over time. Generally I will discover new stuff from hacker news or other aggregators (which I browse once I am caught up on my feeds). I add things to my list very often, but also am quick to unsubscribe if I'm not enjoying the content.

The types of content I tend to follow are:

- Videos. YouTube, Nebula, PeerTube and a few other sources.

- Blogs. These are mostly personal blogs that I have found interesting articles on. A few company blogs too.

- Social media searches. This is more for productivity but I follow a bunch of searches across various social media sites to stay up to date on specific topics.

- Comics

- Software releases.

I have very few high-volume sources. I much prefer quality content from hundreds of sources instead of frequent content from a few big sources like news sites.

I realize I didn't answer your question but that is sort of intended. Each person's favourite feeds will be different and depend on your interests. The best way to get stared is just to start subscribing to the things that you are enjoying today. Then over time you will build up a list of things that interest you. Especially when getting started it makes sense to over-subscribe, you can always prune down if you had a "false positive".




Ah, your approach makes a lot of sense. Me, I've put together a number of Twitter lists over the years, to serve as faux-newsfeeds. Well, it doesn't work very well and right now it leads more often to aggravation than discovery. So, here come 2023 and RSS. Thanks for the hints!


Note that you can use third-party services to create feeds for Twitter users. (example https://nitter.net/) This can provide a good way to get some content into your reader, then you can add/remove feeds based on how you are enjoying them.


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 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-rs... Your reader automatically subscribes you to the source feed of this article: 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 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... 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://bam.kalzumeus.com/archive/rss/ https://karpathy.github.io/feed.xml https://blog.cryptographyengineering.com/feed/ https://www.inference.vc/rss/ https://openai.com/blog/rss/ https://stratechery.com/feed/ https://medium.com/feed/@yonatanzunger https://rachelbythebay.com/w/atom.xml https://openai.com/blog/rss/ https://randomascii.wordpress.com/feed/ https://computer.rip/rss.xml https://timharford.com/feed/ https://idlewords.com/index.xml https://www.youtube.com/feeds/videos.xml?channel_id=UC9-y-6c... - Computerphile videos https://www.granolashotgun.com/granolashotguncom?format=rss https://daringfireball.net/feeds/main




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