| 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. |