As Web3 social platforms grow, efficiently querying on-chain social graphs becomes critical. This post examines how GraphQL can be used with the CyberConnect API to fetch follow relationships and aggregate real-time on-chain interactions. It provides a practical example of constructing GraphQL queries to retrieve decentralized social data, highlighting patterns for handling pagination, caching, and real-time updates. For developers building dApps with social features, understanding these techniques is essential for creating responsive and scalable applications. The post also discusses the trade-offs between on-chain and off-chain data storage for social graphs, offering insights into architectural decisions. This is a timely resource for Web3 developers looking to integrate social functionality into their projects.
Learn how to use GraphQL with CyberConnect API to query on-chain social graphs, follow relationships, and real-time interactions.