Velvet
Make everyone a data engineer
Velvet launched on February 27, 2024 with 166 votes, #280 of 3,962 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
Query all your data in one place and ship real-time product features. Use our AI editor to make your data accessible and interoperable.
Velvet is now part of Arize, the enterprise platform for AI evaluation and observability.
Velvet made a developer gateway to analyze, evaluate, and monitor AI-powered features. Arize, the enterprise platform for AI evaluation and observability, acquired Velvet in 2025. Emma and Chris were the founders of Velvet, and joined forces with Arize to accelerate adoption of Arize's unified AI platform. Unified Observability and Evaluation Platform for AI. Arize helps you accelerate development of AI apps and agents, then perfect them in production. Open-source LLM tracing and evaluation to accelerate AI development. Seamlessly evaluate, experiment, and optimize AI applications in real time. LLM Gateway to provide model access, fallbacks, and spend tracking across 100+ LLMs. All in the…from usevelvet.com
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Velvet – Store OpenAI requests in your own DB2024 · usevelvet.com · ▲109Hey HN! We’re Emma and Chris, founders of Velvet (https://www.usevelvet.com). Velvet proxies OpenAI calls and stores the requests and responses in your PostgreSQL database. That way, you can analyze logs with SQL (instead of a clunky UI). You can also set headers to add caching and metadata (for analysis). Backstory: We started by building some more general AI data tools (like a text-to-SQL editor). We were frustrated by the lack of basic LLM infrastructure, so ended up pivoting to focus on the tooling we wanted. So many existing apps, like Helicone, were hard to use as power…

Fabi.ai Analyst Agent2025 · fabi.ai · ▲126Hey, I'm Marc one of the co-founders of Fabi! We've all seen the "chat with your data" or the "AI-as-an-assistant" when building reports, but we felt like this wasn't quite right. So we decided to build a system that allowed users to: * Connect any data source to the AI * Purely chat with the AI and their data (so we show the output right in the chat before you even apply the changes) * Convert that chat to a repeatable analysis with a data app or workflow * Toggle back to chat mode without missing a beat Basically this means that if you're a data person, you don't have to go through these…


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