Yes, it was actually really cool. You could type in the name of a protein molecule, for instance and see a cluster of articles containing that name, with articles closer to the center having the most references and the bubble size indicating how often it contained that word. Or you could type in nothing and just brows around the entire collection, by clicking on words. You didn't have to even know what you were looking for, when you "entered the library". You could just look around and see if anything was interesting.

But I left the company and I thought the idea had been abandoned. I only saw visual data navigation after that with Kibana and Graphene, but the visualisation wasn't as emersive. And then I saw some stuff on graphical databases.

And then Liminal showed up here and was like, listen yo, I got this idea from biology...
Turns out, the idea is still alive and it's more advanced now. And we're not only going to use it for biology. 😁 

 I am convinced that Nostr is better than a graphical databases because it is decentralized, the sources stay in their original form, and anyone can add a relationship layer and categorization model.