The Ledger, every show

“The problem is that no one's heard about it, but it contributes more to GDP than the real Olympics.”

“I think neon neon was first to, and they're trying to retrofit it onto Postgres. And then they built this whole architecture where you have it in memory, and then you sort of like, you know, mmap back to S-III, and I think that was very novel at the time to do…”

“Turbo Puffer today has a fairly start of the state of the art full text search engine. We beat Lucene on some queries, in particular, very long queries that we've optimized for, because those are the text search queries we see today.”

“The innovation of Turbo Puffer is that it is almost a hundred times cheaper than the incumbents at the time to store that coordinate system.”

“But this was a company that was spending maybe five grand a month in total on all of their infrastructure. And when I did the napkin math on running the embeddings of all the articles, putting them into a vector index, putting it in prod, it's going to be like…”

“It now means that we're profitable because we had so much pricing pressure in the beginning.”

“ANN v. Three can search a hundred billion vectors with a p-fifty of around 40 milliseconds and a p-ninety-nine of 200 milliseconds. Maybe other people have done this. I'm sure Google and others have done this, but we haven't seen anyone at least not in like a …”

“Like at some point, cursor moved like 20 terabytes of Postgres data into Turbo Puffer, because it's like, it's there, it works, and these particular query plans we know work well, and so they just moved it all to defer sharding.”

“They have hundreds of millions of articles, and it would have cost about 30 grand a month to put in the production on one of the incumbents at the time. And that was just way too much, right?”

“I don't think you're going to find a company over the next few years that doesn't directly or indirectly have all their data available for search and connected to AI.”

“They migrated everything over the next like week or two, and we reduced her cost by 95%, which I think like kind of fixed their per user economics.”

“Cursors like security posture into Turbo Puffer is exceptional, right? They have their own embedding model, which makes it very difficult to reverse engineer. They obfuscate the file paths. They are like, You, it's very difficult to learn anything about a code…”

“You can run Turbo Puffer either in SAS, right? That's what cursor does. You can run it in a single tenant cluster. So it's just you. That's what Notion does. And then you can run it in, in, in BYOC where everything is inside the customer's VPC. That's what, fo…”

“Over the course of a week, they migrated everything that they had, and their first bill was 95% smaller. Then there's six figure bill that they had before, right? So they went from a six figure bill to a four figure bill.”

“In fact, you could turn off all the servers that TurboPuffer has, and we would not lose any data because we have All completely all in on our big storage.”

“And a lot of that was really just the you know the Kardashians would drive very, very large amounts of data to Shopify as they were rotating through all the merge and building out their businesses. And we just needed to make sure we could handle that, right? A…”

“S III only became consistent in December of twenty-twenty.”

“Compare and swap to do metadata, which wasn't in S three until late, 20, 24.”

“Like U.S. East, the Google, like the GCP and AWS data centers are like within a millisecond on each other on the public exchanges. But in Oregon, uniquely the GCP data center sits like a couple hundred kilometers, like east of Portland and the AWS region sits …”

“Notion does a ridiculous amount of queries in every round trip, just because they can. And I'm also now, when I use the cursor agent, I also see them doing more concurrency than I've ever seen before.”

“If you put data in memory, it costs maybe two to five dollars per gigabyte of data you put in memory, right? And if you put it in an S-III bucket to data, it costs about two cents per gigabyte. Like a true two order of magnitude cheaper.”

“Because they're in thousands of dimensions, the coordinate in the coordinate system is very counterintuitive, but the coordinate in the coordinate system is larger than the original data. If you take a paragraph of text, the coordinate that represents it is ac…”

“We reached a million in ARR about a year after we launched, but we had more customers then than just a cursor. We also had Notion and a bunch of other customers.”

“Justin found 300 milliseconds or something like that in the span of three hours that night.”

“And at this time, like that, that workload was like, was bigger than Cursor.”