Show HN: Velvet – Data platform with an AI SQL editor

Hi HN — Chris here, Velvet co-founder. I’m excited to share what we’ve been working on, a platform to unify disparate data sources into a single queryable interface.

We built Velvet to solve our own problem. We’re a small team and wanted to combine the data from various services (Stripe, Supabase, etc.) into a layer that would help us make product decisions and ship new features faster.

On the surface, it may look like a simple text-to-SQL data notebook. But under the hood, it’s an accessible and interoperable backend-as-a-service that your entire product team can utilize. Connect to your databases, sync third-party APIs, capture webhook events — then write data directly, spinning up queues and analytics databases on the fly.

The magic of our tool is in unifying data sources into a native SQL layer. We leverage ClickHouse to enable you to write joins across datasets you’ve never been able to pair together before (without significant effort). We layer on an iterative SQL query interface to help you write and refine queries with the assistance of AI.

Our product works great for individual contributors and solo devs, but we’ve also built in collaboration features so data access doesn’t get siloed.

Your saved queries can be turned into API endpoints and used directly in feature development. This makes the workflow of shipping new features really fast! Ping me if you want to early access to this feature.

Watch our video demo (https://youtu.be/CW5TXMCyfC0) and try the live demo in our app. Feel free to email me directly (chris@usevelvet.com) with questions and feedback.

Thanks for checking out Velvet!