CyberConnect has two components to help developer build social applications: Social Data Network and Interest Graph Engine.
CyberConnect Interest Graph Engine indexes, aggregates onchain and offchain data sources related to an identity and its activities to create a holistic view. Developers could easily leverage the indexed data and the recommendation models for user acquisition and user retention.
Indexing system indexes data from blockchains, decentralized stores, as well as off-chain platforms like Twitter to offer insights that can be used in various social contexts. These insights include social trading signals, gaming activities, DAO engagements, and more.
Recommendation platform converts indexed data into graph representation to provide graph-based data analysis and recommendations. On top of this, a token-curated marketplace is built that empowers developers to build and curate better models together.