Context: Hopper trains open-weight models on production traces, then serves and improves them against live traffic.
From YC Launches: Hopper trains open-weight models on your production traces, then serves and improves them against your live traffic.
Hey HN, this is Nathan and Nicholas from Rivet (https://rivet.dev) – a fast, high-density, and scalable orchestrator for agentic workloads using the actor model. Rather than running a heavyweight sandbox per agent, each agent gets a lightweight actor backed by S3.
OpenLake lets companies deploy, train and serve models that keep improving.
Blacksmith (YC W24) builds a faster cloud for continuous integration, betting that testing and validation become the bottleneck as AI coding tools generate more code.
A marketplace for AI inference that promises better pricing, latency and capacity.
Deepgram is buying Daily, the company behind Pipecat, to deepen its real-time voice and video infrastructure.
Baseten's joey-1 is a 2B open-weights decision model that returns an answer and a probability; Baseten says it costs $0.01 per million tokens and answers in about 20ms.
