Core Insights - AWS and Supabase have introduced new storage innovations and an ETL feature aimed at simplifying the development of generative AI applications [1][2] - Supabase has launched over 10 million databases and is favored by startups, with over 60% of Y Combinator batch utilizing its platform [1] - The integration of Supabase with AWS allows for seamless scaling of applications from prototype to production, supporting millions of users without costly rebuilds [1] Product Innovations - Supabase ETL automates data movement from Postgres databases to analytics tools, significantly reducing coding time [1] - Supabase Analytics Buckets utilize Apache Iceberg format on Amazon S3 Tables, enabling efficient data storage and querying for analytics [1] - Supabase Vector Buckets allow for the storage of large vector datasets in Amazon S3, enhancing features like semantic search and recommendations [1] Market Impact - In Q3 2025, more projects were created on Supabase than in the first four years combined, indicating rapid adoption and growth [2] - Startups such as Lovable, Figma, and Bolt leverage Supabase for scalable solutions on AWS, showcasing its effectiveness in powering agentic workloads [2] - Supabase has become the preferred backend for AI-driven development, with 5 million developers utilizing its platform for quick backend setups [2]