rsync.ai - Describe your pipeline in English. rsync.ai runs it.

👋 Hey Product Hunt! I'm thrilled to share rsync.ai with you today! Data integration shouldn't mean unpredictable costs or spending weeks building and maintaining custom connectors. That's why I built rsync.ai — an AI-native data integration platform where you describe your data sync in plain English, and AI agents plan, validate, and run the workflow for you. 💬 For example: "Sync orders from MySQL to PostgreSQL and mask customer emails." rsync.ai configures the pipeline, creates the execution plan, asks for approval when sensitive operations are involved, and runs everything with full transparency. ⚡ What rsync.ai does today: AI Connector Generation: Generate connectors from REST APIs, OpenAPI specs, and GraphQL schemas — without manually building every integration. Real-Time CDC: Stream live changes from PostgreSQL and MySQL using Debezium. Full Transparency: Review the workflow plan before any data moves. Human-in-the-Loop: Approve sensitive operations such as PII handling before execution. Built-in Observability: Monitor every pipeline run with OpenTelemetry-compatible tracing. 🔒 Built for trust: Your data stays yours. rsync.ai is designed so AI agents work with metadata and context needed to build workflows, while keeping sensitive data and credentials protected. 🛠️ Why I built rsync.ai After working with traditional ETL/ELT platforms, I kept seeing two recurring challenges: • Usage-based pricing that becomes harder to predict as data grows. • Missing connectors and constant maintenance for custom integrations. As a solo founder, I'm launching early because I want feedback from real data, analytics, and platform engineers — before scaling further. 💬 I'd love your feedback: • What integration would you try first? • What's missing for production adoption? • What would stop you from using rsync.ai today? Thanks for checking out rsync.ai! I'll be here all day answering questions and taking notes. 🙌