The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 33 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Ramaswamy: Snowflake monetizing storage was a long-term strategic mistake
“My take is that us deciding to monetize storage was a long-term strategic mistake. I think we simply should have said, we will pass through storage costs.”
Ramaswamy: Snowflake's early AI efforts suffered from an infrastructure-first mentality
“And so part of the difficulty that Snowflake had with machine learning and AI was they brought a similar mentality. You're going to write a design doc. It's going to take us 18 months. It's going to be great. Opposite of what you need to succeed in iterative e…”
Ramaswamy: Consumers will use AI interfaces for auto insurance in 3-5 years
“In five years, in three years, if you and I want auto insurance, we are going to go to some conversational interface.”
Ramaswamy: Google Gemini won't become a hit unless 10x better than ChatGPT
“They can't make Gemini into a consumer hit unless it's 10 times better than ChatGPT, and that's a really tall order.”
Ramaswamy: Open formats like Apache Iceberg lack governance and access controls
“This is also where Iceberg or just a data lake strategy or a lake house strategy is not an immediate answer because formats like Iceberg do not understand governance rules, do not understand role-level access control, they don't understand users, they don't un…”
Ramaswamy: Snowflake will gain more revenue from Iceberg than lose in storage
“I expect us, me and the team, To drive way more revenue in new things we can do with Iceberg, then we are going to lose, potentially, by some of our storage revenue going out to cloud storage”
Ramaswamy: DeepSeek is one or two steps behind xAI in model training
“If you were to compare them to XAI, I would say they are definitely one or two steps behind in terms of their ability to come from nothing and train a world-class foundation model.”
Ramaswamy: Infrastructure engineering leaders cannot effectively evaluate AI talent
“Somebody that's very good at infrastructure cannot tell if somebody is amazing at AI, But it is this basic understanding that there are aspects to software that are just very, very different.”
Ramaswamy: Snowflake initially viewed supporting Iceberg as a defensive move
“And Snowflake initially approached this as mostly a defensive move.”
Ramaswamy: Enterprise AI for structured data needs high precision over high recall
“In a business context, we are much better off with a very high precision, Modest recall kind of product.”
Ramaswamy: App store search platforms are terrible and show irrelevant ads
“If you compare more recent platforms for search platforms, for example, app store searches, they're truly terrible. Even when you ask highly precise questions, they will show you completely irrelevant ads.”
Ramaswamy: Early-stage startups need magic built by five or six people
“I think there is virtue in taking, for example, just a few million dollars and saying the first version of a company needs to be built with five, six people in a relatively short period of time, and there needs to be some magic. And if there is not that magic,…”
Ramaswamy: Neeva reached a $300M valuation on under $1M revenue
“We raised too much money. Our valuation was three hundred million dollars for a company barely making a million. That just was not okay.”
Ramaswamy originally agreed to stay at Snowflake for six months
“My original agreement with Frank, the Snowflake CEO, was that I would stay with Snowflake for six months.”
Google earns $1 to $2 every time a user searches 'auto insurance'
“You'll be shocked to know that there are queries that have 1502 thousand dollar RPMs, which means Google makes one or two dollars every time you or I, like, a user types the word auto insurance, words auto insurance into search.”
Ramaswamy: Neeva failed because it wasn't 10x better than Google search
“The rules that killed Neva, which is, at the end of the day, until AI search came along, simply didn't have a product that was 10 times better than Google search. That's just the reality. That's the reason we couldn't compete.”
Ramaswamy: Competing directly against free Power BI is unrealistic
“Power BI is quite good. And it's essentially part of the office offering. And so I've been skeptical of saying that we can just compete in BI with a new paid product at scale when the bar is high quality, no price.”
Ramaswamy: Sub-50ms streaming for analytics has limited practical use and high cost
“Practical uses of true sub-fifty millisecond streaming for analytics is quite limited and somewhat expensive.”
Ramaswamy: Snowflake has thousands of production AI use cases deployed
“The net of this is that we have thousands of deployed production use cases on our AI products.”
Ramaswamy: AI inference will become significantly faster and cheaper in 2025
“The world of inference, not foundation models, the world of inference is going to go through so much change this year, both in terms of GPU availability, which is easing up quite a bit, But also in terms of people like Grok, I think the one with the K or the Q…”
Ramaswamy: Snowflake targeted asset managers early due to lower regulatory hurdles
“We very deliberately went after asset managers as our early customers, why they're more progressive. They want to make more money. They're earlier adopters of technology and have less regulation to deal with, say, compared to banks, which just have, it's more …”
Ramaswamy: Applications built on data create more value than sharing raw data
“There is a little bit of a hierarchy of needs when it comes to collaboration. You can share raw data, it creates some value. On the other hand, if you can share a predictive machine learning model, That uses the data to predict something, you will likely get m…”
Ramaswamy: Five nines availability in Google search ads was worth $100M
“Similarly, when I ran the search ads team, getting those five nines of availability actually meant a hundred million dollars more because that thing was running at such scale.”
Ramaswamy: Progressive CIOs demand vendor-neutral open data formats
“Increasingly what is happening is that the most progressive of the CIOs and the chief data officers What they want is independence with respect to vendors, including Snowflake. So they want their storage, their data to be stored in vendor-neutral formats, in o…”
Ramaswamy: Unsuccessful startups accumulate cruft due to finite shelf lives
“Companies have shelf lives. Once you spend a certain number of years going at something, if you haven't achieved enough success, you also tend to accumulate a lot of cruft that becomes very hard to discard.”
Ramaswamy: Snowflake has zero tolerance for 18-month projects without value
“At Snowflake itself, for example, I am very flat with my team that I do not have any tolerance for 18 month projects. If you tell me that you're going to start on a rewrite, and it's going to take you 18 months before it shows any value, you know, it's not, yo…”
Ramaswamy compares April 2025 market volatility to early COVID-19 pandemic
“I think tumultuous is appropriate. I feel like We are in day two of the pandemic where we all knew something was wildly different, but we didn't quite know what. So it has that sort of something's big, but we don't quite know kind of feeling to it.”
Ramaswamy: Snowflake operates hosted model gardens across all cloud deployments
“We run a model garden inside each of these deployments, and we offer a set of products on top of it.”
Sridhar Ramaswamy: Snowflake Cortex Search is based on Neeva's index infrastructure
“Cortex Search is almost completely based on the Neva Search Index infrastructure.”
Ramaswamy says he is happy to spend 5 to 10 years at Snowflake
“That's part of what made me decide that I'd be happy spending five or 10 years at this place.”