Hey 👋 We're launching Velvet's new AI SQL editor today!
We made Velvet to solve our own problem. As an early-stage startup, we're built on top of Supabase, Stripe, and other tools. We needed an accessible way to unify data and run queries. Velvet lets any team member access real-time data, write complex SQL with AI, and turn those queries into re-usable components.
We've got an amazing group of early adopters already using it daily, and we hope you'll try it out!
🧑🏻💻 Connect databases, sync third-party APIs, and collect events
🔮 Ask natural language questions to write complex SQL with AI
💚 Save queries to share, visualize, or create API endpoints
Use Velvet to experiment, ship, and scale faster. Try it out at usevelvet.com, and share your feedback or questions below!
Use code TRYVELVET for 25% off after your free trial.
About Velvet on Product Hunt
“Make everyone a data engineer”
Velvet launched on Product Hunt on February 27th, 2024 and earned 157 upvotes and 32 comments, placing #13 on the daily leaderboard. Query all your data in one place and ship real-time product features. Use our AI editor to make your data accessible and interoperable.
On the analytics side, Velvet competes within Developer Tools, Artificial Intelligence and Data & Analytics — topics that collectively have 983.8k followers on Product Hunt. The dashboard above tracks how Velvet performed against the three products that launched closest to it on the same day.
Who hunted Velvet?
Velvet was hunted by Emma Lawler. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Emma Lawler