Turbopuffer
Turbopuffer
AI infrastructure for building intelligent applications.
About
Turbopuffer offers a fast, cost-effective, and extremely scalable vector and full-text search database built on object storage. It serves AI applications, semantic search, and recommendation systems by enabling high-performance similarity search with features like automatic scaling and low latency. Leading companies use Turbopuffer in production to handle massive datasets and high query volumes. Teams look it up for Artificial Intelligence, Developer Tools, Machine Learning.
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“Is Turbopuffer the IKEA of AI search?. Doing $100M on $1M raised with ~20 employees. Winning deals with Anthropic, Notion, and Cursor with 100 fewer employees and 1/100th of the capital. You can think of Vector databases as the “stockrooms”…”
View on Reddit“Turbopuffer review?. We recently had a client ask about it. Anyone here currently using turbopuffer for prod? Any bottlenecks or constraints i should look into?”
View on Reddit“Hey everyone — I’m sharing a small tool I built that’s been super useful for us internally. We’ve been using Turbopuffer since its invite-only days and love the simplicity + reliability of the API. But during development, debugging can get…”
View on Reddit“On Turbopuff, I'm intrigued by the claims, 10x faster, 10x cheaper as I'm thinking about taking an internal dog-food to production. On Clickhouse, we already have a beefy cluster that never breaks a sweat, I see that clickhouse now has vect…”
View on Reddit“3 AM thoughts: Turbopuffer broke my brain. Can't sleep because I'm still mad about wasting two weeks on Turbopuffer. "Affordable" pricing that 10x'd our bill overnight when one big client onboarded. Simple metadata filter tanked recall to 0…”
View on Reddit“I'm looking for a "retro/8-bit" component library as close as possible to turbopuffer ui. Hi, I'm working on a project where we are very much aligned to the design language of turbopuffer ( https://turbopuffer.com/ ) and I am looking for a…”
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