Velvet
Warehouse AI requests with 2 lines of code
Velvet launched on August 28, 2024 with 217 votes, #224 of 5,471 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
Warehouse every AI request to your database. Query logs to analyze usage and costs, evaluate models, and generate datasets. Install the proxy with 2 lines of code. It’s free to get started, and you own your data.
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
Does a similar job
all alternatives →
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…
Spice.ai – materialize, accelerate, and query SQL data from any source2024 · github.com · ▲177Hi HN, We're Luke and Phillip, and we're building Spice.ai OSS - a lightweight, portable runtime, built in Rust and powered by Apache DataFusion to locally materialize, accelerate, and query data tables sourced from any database, data warehouse or data lake. Phillip and I first introduced Spice on Show HN in September 2021. Since then, we’ve been schooled and humbled in every way building 100TB+ data and ML systems for the https://spice.ai cloud platform. Along with our customers, we struggled with getting fast, low-latency, high-concurrency SQL query within a budget, accessing and…
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 28d ago · world.pixverse.video
Source: Product Hunt launch ↗
Launched alongside, August 2024
the whole month →
Jupitrr AI▲1,195Jupitrr AI turns raw talking videos into scroll-stopping content for coaches and consultants. Research, script, record, edit, and publish in one app.
AI · 2024 · jupitrr.com
Hey there HN! We’re Joe and Stopa, and today we’re open sourcing InstantDB, a client-side database that makes it easy to build real-time and collaborative apps like Notion and Figma. Building modern apps these days involves a lot of schleps. For a basic CRUD app you need to spin up servers, wire up endpoints, integrate auth, add permissions, and then marshal data from the backend to the frontend and back again. If you want to deliver a buttery smooth user experience, you’ll need to add optimistic updates and rollbacks. We do these steps over and over for every feature we build, which can…
Dev tools · 2024 · github.com