Warehouse every OpenAI and Anthropic request to your database. Unlock queryable data to observe, analyze, and optimize your AI features.
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Warehouse every OpenAI and Anthropic request to your database. Unlock queryable data to observe, analyze, and optimize your AI features.
Writing SQL is painful for me and now I am no longer afraid, this app brings me so much joy.
Congrats on the launch! Can you share more about why makers should use Velvet instead of building their own auth? And, will you support custom domains + native transactions in the future?
As someone that has created several in-app subscription apps, I am interested in your approach. We currently use RevenueCat so familiar with the challenge your are tackling. When will you publish your SDK specs? Beyond native code (SwiftUI and Kotlin), will you also support React Native and other languages as well? Finally, are you incorporating in PayWall page design for A/B testing messages and offers for signup? I know you are early in the process and any development details you can share would be appreciated.
Velvet
Hey Product Hunt 👋 Emma and Chris here from Velvet. We built an AI gateway to warehouse OpenAI and Anthropic requests to your database. Engineers use Velvet logs to analyze usage and costs, evaluate models, and generate datasets.
Our first product was an AI SQL editor. It worked really well, but we had limited insights into what happened between our app and OpenAI. We started storing requests to our database, giving us the ability to query data directly. It gave us so much more control over developing our AI features.
We didn’t think of it as a product until one of our customers (Find AI) asked to use it. We warehoused over 3 million requests for them in the first week, logging up to 1,500 requests per second during their launch. Now we have many startups using Velvet daily for caching, evaluations, and analysis of opaque endpoints like the Batch API.
Try a sandbox demo → usevelvet.com/sandbox (no signup needed)
Read the docs → docs.usevelvet.com
Get started with two lines of code 🧑🏻💻
It's easy to get started! Once set up, we warehouse every request to your database.
Requests are formatted as JSON. You can include custom metadata in the header - like user ID, org ID, model ID, and version ID. This means you can run complex SQL queries unique to your app. Granularly calculate costs, evaluate new models, or identify datasets for fine-tuning.
We'd love to hear from you! Email team@usevelvet.com with any feedback or questions.
Watch a demo video to learn more.
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Iteration X
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