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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 an
by lonk11 3y ago
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 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/ https://simonwillison.net/2024/Feb/21/gemini-pro-video/
Those are:
- https://simonwillison.net/atom/everything/ https://simonwillison.net/atom/everything/ - the original blog
- https://kagi.com/api/v1/smallweb/feed/ 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 https://hnrss.org/newest?points=1000&count=100 - HN links that got more than 1000 points
- https://lobste.rs/rss https://lobste.rs/rss - submissions to Lobste.rs
- https://lobste.rs/t/ai.rss 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 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/ https://simonwillison.net/atom/everything/ then new posts from Simon Willison will be shown above other links from, say, https://lobste.rs/rss 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.