Its object storage database first powered Cursor and now serves Anthropic and Notion.
kache#403
turbopuffer crossed $100M run-rate in March. 19mo after $1M. Profitable & <$1M raised.
Cursor・Anthropic・Notion・Cognition・Harvey・Bridgewater・Ramp・Linear・Legora・Superhuman・Atlassian・Granola
We’d be nowhere without them. We work like hell to exceed their expectations.
Many users celebrated Turbopuffer hitting a $100M run rate just 19 months after its first million because of the team's impressive execution and the product's real value shown in customer use cases.
My understudies are killing it 🥰
turbopuffer crossed $100M run-rate in March. 19mo after $1M. Profitable & <$1M raised.
Cursor・Anthropic・Notion・Cognition・Harvey・Bridgewater・Ramp・Linear・Legora・Superhuman・Atlassian・Granola
We’d be nowhere without them. We work like hell to exceed their expectations.
tubopuffer's story is pretty wild: their first customer was Cursor, in hypergrowth (!!!) and after AWS Aurora could not handle Cursor's scale
and this (then) tiny team pulled it off, and then some more
building a DB on object storage is an undefeated idea, and a good one:
turbopuffer crossed $100M run-rate in March. 19mo after $1M. Profitable & <$1M raised.
Cursor・Anthropic・Notion・Cognition・Harvey・Bridgewater・Ramp・Linear・Legora・Superhuman・Atlassian・Granola
We’d be nowhere without them. We work like hell to exceed their expectations.
I love Simon because he’s a cool dude and he let me invest.
I hate him because he makes me and every other CEO look like we’re spending money like MC Hammer.
turbopuffer crossed $100M run-rate in March. 19mo after $1M. Profitable & <$1M raised.
Cursor・Anthropic・Notion・Cognition・Harvey・Bridgewater・Ramp・Linear・Legora・Superhuman・Atlassian・Granola
We’d be nowhere without them. We work like hell to exceed their expectations.
Ottawa company by the way
turbopuffer crossed $100M run-rate in March. 19mo after $1M. Profitable & <$1M raised.
Cursor・Anthropic・Notion・Cognition・Harvey・Bridgewater・Ramp・Linear・Legora・Superhuman・Atlassian・Granola
We’d be nowhere without them. We work like hell to exceed their expectations.
turbopuffer searches every byte ... 📈
"every page on the web, every transcript, every paragraph, every PDF, every satellite image, every fraudulent transaction, every video frame, every paper, every commit, every memory, every attachment, every product."
turbopuffer crossed $100M run-rate in March. 19mo after $1M. Profitable & <$1M raised.
Cursor・Anthropic・Notion・Cognition・Harvey・Bridgewater・Ramp・Linear・Legora・Superhuman・Atlassian・Granola
We’d be nowhere without them. We work like hell to exceed their expectations.
the only person who has possibly put me to work more than @Sirupsen is @acv (and both just as bashful when it comes to talking about progress)
turbopuffer crossed $100M run-rate in March. 19mo after $1M. Profitable & <$1M raised.
Cursor・Anthropic・Notion・Cognition・Harvey・Bridgewater・Ramp・Linear・Legora・Superhuman・Atlassian・Granola
We’d be nowhere without them. We work like hell to exceed their expectations.
Literally remember conversations with ctos about moving from pine cone to turbopuffer back in the day.
Nuts.
turbopuffer crossed $100M run-rate in March. 19mo after $1M. Profitable & <$1M raised.
Cursor・Anthropic・Notion・Cognition・Harvey・Bridgewater・Ramp・Linear・Legora・Superhuman・Atlassian・Granola
We’d be nowhere without them. We work like hell to exceed their expectations.
turbopuffer is a very cool product. a lot to learn there.
turbopuffer crossed $100M run-rate in March. 19mo after $1M. Profitable & <$1M raised.
Cursor・Anthropic・Notion・Cognition・Harvey・Bridgewater・Ramp・Linear・Legora・Superhuman・Atlassian・Granola
We’d be nowhere without them. We work like hell to exceed their expectations.
Last I checked, the @llama_index OSS framework integrates with 78 (!!) vector stores. Investors (and builders starting out, and honestly me for a while) deemed this space as commoditized.
One of the lessons I've learned that's especially relevant here is that in a commoditized market, regardless of initial distribution, the best product will still win. It takes a certain level of obsessive focus, a contrarian bet on technology (optimizing cost through object storage) to pull this off, but this is a great example that it can absolutely be done.
Huge congrats to @turbopuffer 🫡 big inspiration for us on our own parsing product
turbopuffer crossed $100M run-rate in March. 19mo after $1M. Profitable & <$1M raised.
Cursor・Anthropic・Notion・Cognition・Harvey・Bridgewater・Ramp・Linear・Legora・Superhuman・Atlassian・Granola
We’d be nowhere without them. We work like hell to exceed their expectations.
turbopuffer started as a blog post, became a project, and then a startup out of my co-founder Justine’s living room in Ottawa.
We were consumed by the idea of building a 10x cheaper search engine on object storage. This architecture had only just become possible.
We had seen first-hand how the pain and cost of existing search held products back. We hunkered down and applied everything we learned from 8 years of infra & incidents at Shopify.
When tpuf launched in October ‘23, it immediately clicked for @cursor_ai.
I went to Hayes Valley to a tiny office of ~8 with one of the largest search workloads I had ever seen. We connected on databases, search, and scaling infra.
Justine and I shipped the two features they needed, and a few days later, Cursor migrated its production workload to turbopuffer. 95% reduction in cost; as promised.
Today, Cursor searches 1T+ chunks of code on turbopuffer.
We saw this story again and again.
The teams at the frontier know the magic happens with AI when it draws in just the right context. They know AI disappoints most when it misses data. That’s a search problem.
Our customers use turbopuffer to connect every byte to AI to build the smartest version of their product.
They search every page on the web, every transcript, every paragraph, every PDF, every satellite image, every fraudulent transaction, every video frame, every paper, every commit, every memory, every attachment, every product.
None of this happens without the two things I’m most proud of: (1) assembling the most hardcore & whimsical 34pp team I’ve been part of, and (2) our customers, who we strive to show up for on Slack as if we’re part of their team
turbopuffer is here to search every byte on earth.
@ArfurRock tender to reward the incredible people who are making it happen. Thrive moves mountains.
You’re telling me a turbo puffed this object?
turbopuffer crossed $100M run-rate in March. 19mo after $1M. Profitable & <$1M raised.
Cursor・Anthropic・Notion・Cognition・Harvey・Bridgewater・Ramp・Linear・Legora・Superhuman・Atlassian・Granola
We’d be nowhere without them. We work like hell to exceed their expectations.
@tonialaribe @GergelyOrosz @monoscope_tech Honestly, when I saw your product last year, I was very skeptical about the object storage part, but now I get it! 🙌🏾
@ArfurRock Secondary?
<$1M raised?
Thrive writing $100K checks now?
@lachygroom @Sirupsen @acv the ultimate turbopuffer bull thesis … how can you not bet on this?: https://youtu.be/pqoRNwNaxfs?si=QfddYKEMzpoyITSk
@lachygroom @Sirupsen @acv Someday I will get @acv to speak about his investor management system. He showed me years ago and i felt instantly embarrassed 😅
**Turbopuffer is a vector + full-text search database** you index your own private data into (code, docs, knowledge bases) for fast RAG/semantic retrieval on object storage. Super cheap at scale.
**Exa is an AI-native web search engine/API** — it does semantic search across the public internet and returns relevant pages/content for LLMs/agents.
They’re complementary, not direct competitors (many customers like Cursor use both: Turbopuffer for internal data + Exa for web). Acquisition seems unlikely; they solve different problems.