There are people like me, who write blogs that routinely include links posts. Subscribe to those blogs, check out the stories that interest you, and subscribe to those sites in turn. I have a couple hundred sites in NetNewsWire.

I'm pretty sure every site on this directory has RSS:

http://ooh.directory/

Not the complete answer, but a part of it.

Seems like this would be a good feature for Kagi search if it isn't there already?

Just a directory of feeds could be of limited use. You don't know the signal-to-noise ratio of each feed for you.

You subscribe to tens or hundreds of feeds and, boom, you have another problem - how do you prioritize which feed to read .

With https://linklonk.com I'm trying to solve both problems: discovering feeds to follow and prioritizing content from all feeds.

You start with content you liked - submit links you liked and you will get connected to all feeds that included this link.

For example, there are a bunch of feeds that included this link https://simonwillison.net/2024/Feb/21/gemini-pro-video/

Those are:

- https://simonwillison.net/atom/everything/ - the original blog

- https://kagi.com/api/v1/smallweb/feed/ - a feed of "small web" links, I didn't know it existed, but one of the users must have submitted this feed.

- https://hnrss.org/newest?points=1000&count=100 - HN links that got more than 1000 points

- https://lobste.rs/rss - submissions to Lobste.rs

- https://lobste.rs/t/ai.rss - submissions to Lobste.rs with "ai" tag.

The point is, if you upvote this link on LinkLonk (https://linklonk.com/item/481037215144673280), you automatically get subscribed to all of these feeds. This is a way to discover new feeds through content you liked.

Now, being connected to hundreds or thousands of feeds might seem crazy. But we have a solution to that which also relies on what content you "liked". LinkLonk knows how often you liked content from each feed you are connected to (which is essentially the signal-to-noise ratio). So it ranks new content based on that. If you like 50% of posts from https://simonwillison.net/atom/everything/ then new posts from Simon Willison will be shown above other links from, say, https://lobste.rs/rss.

The more you like - the better the ranking of fresh content becomes.

In this world you don't have to actively manage which feeds you are subscribed to or not. You only rate content.