stagi.um

an are.na clone deviation with live p2p feed using fluence network, reinforcement learning explore tab and onchain minting of learned vectors for cosine similarity for like blocks that map well to your preferences when simultaneously trained when eth takes a dip, or, when someone presses a [ ^ train ] button

used with a usb club usb, nodejs express, graphql, fluence network, azimuth smart contracts, and a custom non-neural net based algorithm. it also used react and docker for running the code. using fluence i use a gossip feed to broadcast and store recent occurences of folder additions on the network