The text is a comprehensive guide on building a ClickHouse-powered API integrated into a web application, specifically for those familiar with Postgres. It details the process of setting up a ClickHouse Cloud service to sync real-time data from Postgres, using Moose OLAP for TypeScript native interfaces, and creating type-safe APIs for analytical queries. The guide addresses the challenge of scaling analytics in user-facing apps and offers solutions like syncing with ClickHouse via Change Data Capture (CDC) and developing locally with MooseStack. It emphasizes the advantages of using ClickHouse as a fast analytical database, complemented by Moose OLAP's ORM-inspired schemas for seamless developer experience. The integration process includes generating TypeScript types from schema, running queries securely, and testing APIs locally with real-time feedback. The guide also covers the deployment of these setups using Boreal, which facilitates a streamlined transition from development to production with GitHub integration and CI/CD support, ensuring robust and efficient analytical capabilities alongside existing transactional databases.