When I find an article that is particularly insightful or informative I often wonder who are the other readers of this article, how did find it and what else di

When I find an article that is particularly insightful or informative I often wonder who are the other readers of this article, how did find it and what else did they find interesting? LinkLonk is a way to connect me to the other readers. I guess it could be trivialized to the good old "Other people who bought this also bought that" but for articles. But that was not the source of inspiration. The algorithm itself is inspired by Personalized PageRank (which Pinterest used to use 3 years ago: https://blog.acolyer.org/2018/05/23/pixie-a-system-for-recommending-3-billion-items-to-200-million-users-in-real-time/ https://blog.acolyer.org/2018/05/23/pixie-a-system-for-recom...). Essentially, you do a walk on the graph that has sources of information (RSS feeds, user channels) as nodes and upvotes as directed edges. The walk starts at you => into one of the items you upvoted => into one of the sources that upvoted it before you => into one of the other items that source upvoted. You sum up all the probabilities to end up in each item after these 3 steps - and that gives you the ranking score of the item.