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Launch HN: Metal (YC W23) – Embeddings as a Service

Hey HN! We’re Taylor, James and Sergio – the founders of Metal ( https://www.getmetal.io/ ). You can think of Metal as embeddings as a service. We help developers use embeddings without needing to build out infrastructure, storage, or tooling. Here’s a 2-minute overview: https://www.loom.com/share/39fb6df7fd73469eaf20b37248ceed0f If you’re unfamiliar with embeddings, they are representations of real world data expressed as a vector, where the position of the vector can be compared to other vectors – thereby deriving meaning from the data. They can be used to create things like semantic search, recommender systems, clustering analysis, classification, and more. Working at companies like Datadog, Meta, and Spotify, we found it frustrating to build ML apps. Lack of tooling, infrastructure, and proper abstraction made working with ML tedious and slow. To ge

Why it failed

Hey HN! We’re Taylor, James and Sergio – the founders of Metal ( https://www.getmetal.io/ ). You can think of Metal as embeddings as a service. We help developers use embeddings without needing to build out infrastructure, storage, or tooling. Here’s a 2-minute ove

Kind
startup
Status
Shut down
Inventor
tlowe11
Ended
2023
Source
hackernews
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