00:56:13 路 Jordi Hays, John Coogan
[00:56:13] S0: it's not like the whether whether somebody's like buying through, you know, investing through like JPM Yeah. Morgan Stanley Goldman. Goldman, all these pieces. Like, technically, you can go and sell. Yeah. They just might restrict you from other IPOs. So you would like And and this happens like on all the different apps, you know, Robinhood, public, etcetera. If you're buying into an IPO, they they basically are asking you nicely, do not sell. Don't don't flip don't flip here. Yeah. But people can. Yeah. And so with how many retail dollars are flowing into this, I expect a lot of people that are buying buying, you know you know, basically buying the IPO [00:57:01] S1: Yeah. [00:57:02] S0: To start trading almost immediately.
00:57:02 路 Jordi Hays, John Coogan
[00:57:02] S0: To start trading almost immediately. [00:57:04] S1: Exactly. But So it's importantly, it's only 4% of the free float. So only 4% of that $1,800,000,000,000 is a lot of money, but it's only 4% will be really free trading. And then of course during the IPO process you're vetting investors and you're trying to get the people that will hold forever. And Elon has done a fantastic job of that with the indices. So he's gotten the NASDAQ, the S and P and a few others to like commit. So although NASDAQ has already shortened the seasoning period before index inclusion to fifteen trading days, the Russell slashed its waiting time to five days. Most share indices wait firms in proportion to the value only of the shares released for public trading. And this is important because people look at the S and P five hundred and say, wait, S and P five hundred, a $2,000,000,000,000 company coming into that, your weight, if you're just buying the S and P five hundred is going to be more than 1%. It might be in the single digit percent. That's a lot. And we've been talking about the S and P four ninety nine for the bears. Right? In fact, the initial weight in the S and P 500 will be around point 1% because it's just that 4% free float and then it increases over time as the shares get locked up. We actually have a chart here of how the lockups work and it takes basically [00:58:22] S0: Yeah. There's
00:58:22 路 Jordi Hays, John Coogan, Sridhar Ramaswamy
[00:58:22] S0: Yeah. There's [00:58:23] S1: whole year, almost two, for everything to get unlocked and it's also triggered based on share price appreciation. So if the shares trade up 30% or more, then more shares become unlocked and the road to a 100% lock up ending happens slowly. And so just a little bit of an interesting deep dive into how the SpaceX IPO will fare. Anything else to talk about on that story before Apparently, we move [00:58:53] S0: senator Warren Yes. Has urged the SEC to halt SpaceX's IPO citing governance risks, Elon Musk's control, and potential foreign, especially Chinese investment concerns. She also highlighted SpaceX role as a US defense contractor. Has never met a business that she liked. I think except maybe I don't know. Large financial institutions. [00:59:20] S1: Who knows? Think she [00:59:20] S0: she likes those. [00:59:22] S1: Well, we have our next guest in the waiting room, Sridhar Ramaswamy from Snowflake. He is the CEO. We're very pleased to be joined by him. Welcome to show. Thank you so much for taking the time. How are you doing? [00:59:35] S8: I'm well. Thank you for having me. [00:59:37] S1: Can imagine you're doing well. The the company is doing fantastically. I am interested to hear no. I mean, obviously, there's been an emotional roller coaster, but I'm more interested in the data that you're seeing that shows acceleration, so much promise, so much opportunity in this particular business.
00:59:37 路 John Coogan, Sridhar Ramaswamy
[00:59:37] S1: Can imagine you're doing well. The the company is doing fantastically. I am interested to hear no. I mean, obviously, there's been an emotional roller coaster, but I'm more interested in the data that you're seeing that shows acceleration, so much promise, so much opportunity in this particular business. [00:59:57] S8: Yeah. Data is the foundation for insights. I worked in a data company. I worked in the search ads team at Google, where great data was the flywheel that made it into a great business. That's what we aspire to do with each and every one of our customers. AI has done a couple of things. It's made the act of bringing data into Snowflake doing just a whole lot easier. Pipelines that used to take weeks to set up or migrations that used to take years now have dropped to days and months, which is pretty remarkable. But people also realize how much more power they can get by having great conversational access to their data. And now with things like Snowflake co work, how we can actually solve pretty meaningful business problems in an interactive way, it's that it's that loop that is compounding for us that drives a lot of our growth.
00:59:57 路 Sridhar Ramaswamy, John Coogan
[00:59:57] S8: Yeah. Data is the foundation for insights. I worked in a data company. I worked in the search ads team at Google, where great data was the flywheel that made it into a great business. That's what we aspire to do with each and every one of our customers. AI has done a couple of things. It's made the act of bringing data into Snowflake doing just a whole lot easier. Pipelines that used to take weeks to set up or migrations that used to take years now have dropped to days and months, which is pretty remarkable. But people also realize how much more power they can get by having great conversational access to their data. And now with things like Snowflake co work, how we can actually solve pretty meaningful business problems in an interactive way, it's that it's that loop that is compounding for us that drives a lot of our growth. [01:00:49] S1: Is has there been any movement for Snowflake? Whenever I hear the story of a a a data lake, a properly managed data warehouse as an entrepreneur, even in a small business, I think that sounds amazing. That sounds like the dream. Then I see the companies that, you know, actually have the resources to onboard be, you know, immensely large, and obviously, that's fantastic for your business. Yep. But I'm interested in in what the future looks like. Is there a world where a 10 person start up with AI agents and and these pipelines that can be built much faster can actually set up their and then not have to go through a cumbersome migration in the future.
01:01:34 路 Sridhar Ramaswamy
[01:01:34] S8: Yeah. We are seeing that happen in front of our eyes with Snowflake's own data team. Yeah. You know, they, like with every other company, used years long. You ask them for a feature, they'd be like, Here, take a ticket. Come back, you know, in a few quarters. What they've been able to do with Agentic AI is grind through those kinds of backlogs very quickly. Absolutely. Data and agents are going to make it much easier to set up these things and have them evolve as they go along. I'll give you examples from the public. We rewrote our, both our support teams and our SRE team's software. These are the folks that take care of different kinds of problems that we get into an, and the net result of that by agents investigating the problem. And if you see enough instances of a problem that you have not seen, you go figure it out, go write a tool for it, it's now in a self healing loop. I increasingly imagine that more and more operations get into that kind of a mindset where there are very competent agents, sets of recipes you can call them skills, there'll be some other name tomorrow that take care of problems, but it's it is a self learning loop. That's what AI makes possible.