Decentralized social media generates a huge amount of on-chain data. This on-chain data needs a low-latency interface for it to remain accessible for all, along with adding the ability to perform real-time analysis and monitoring.
Substreams are a data solution developed for The Graph Network. They allow developers to write Rust modules composing data streams with low-cost caching and archiving of blockchain data, high throughput processing, and cursor-based reorgs handling.
This project builds a (basic) Substream in Rust to monitor on-chain Lens protocol data and provide a low-latency data streaming interface. Potential uses of such a tool could be for real-time analysis and monitoring of Lens data. Since the data is streamed, it can be directly injected into a variety of databases (BigQuery, Clickhouse, Kafka etc.), opening up a lot of distinct analytics use cases.
A few unrelated citations: