Data

The pagerank of crypto is here, allowing any developer to provide contextual and personalized feeds that capture the ever-expanding universe of onchain and offchain data.

It's called OpenRank, and I've created an end-to-end example flow using their python sdk and Dune queries.

Base

In this dune dashboard, you can see the recommended mints, tokens, contracts, and farcaster channels weighted by the outputs of any openrank graph that's been created. 

In my example graph, I used all /base channel casters and their token transfers.

There are two key concepts to creating your OpenRank graph. Pretrust and localtrust. Think of localtrust as your measurement of interactions between two nodes, and pretrust is your "seed" selection of nodes who you think should be more trusted in the network.

OpenRank is like Dune but instead building a community around valuable network graphs. They manage the compute and devops, so anyone can come in with input graphs and train/store without setting up any infra.

Let's walk through my example graph creation process next!

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In this dune dashboard, you can see the recommended mints, tokens, contracts, and farcaster channels weighted by the outputs of any openrank graph that's been created. 

In my example graph, I used all /base channel casters and their token transfers.

https://dune.com/ilemi/openrank