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 18 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
Englander: Founders should do whatever it takes to move to San Francisco
“My view for what it's worth is I think people should do what it takes to move to San Francisco. If that's not possible, that's not where your customers are based. At the very least, as you said, move to a tier one city and try and be as close to you know, folk…”
Chas Englander: AI models outperform humans at structuring public filing data
“You know, if you look at some of these data providers, they've got humans reading information from say public filings and put it in that structured format. You know, the bulk of the work that we're doing, what we're seeing is models are already more accurate t…”
Chas Englander: Top financial firms have already fully automated basic data gathering
“But I think some of the more lower level, more kind of data gathering and presenting types of tasks are fully already being automated at the top firms.”
Englander: AI workflows will become fully autonomous in 2025
“We think the biggest shift this year is going to be that even that element won't happen, and therefore elements of the user interface we think will be less important. In other words, these tasks will happen Entirely autonomously. You know, as you arrive in the…”
Englander: Global finance technology buyers are surprisingly based in San Francisco
“There's a surprising number of decision makers for global firms around sort of technology implementation in San Francisco. It's not out of New York or out of London, it's out of San Francisco.”
Englander: Model ML founders work seven days a week, team works six
“I mean right now we're still working seven days a week, as we said, and we have done for about 18 months. And I think certainly in that initial period that you've got to do that, and I think, you know, our team works six days a week at the moment.”
Englander: Core interaction formats like Word and Excel will remain consistent
“We made a call that we would kind of rebuild our version of like PowerPoint, Word, and Excel, because we do believe, at least for the time being, that the way in which people interact with technology, regardless of type of technology, will remain quite consist…”
Englander: European culture fundamentally rejects seven-day startup workweeks
“Us being from Europe working seven days a week, it's very unusual to say the least, and there's not many people that we can call on. And in fact, a lot of the people that we surround ourselves with outside of work, they fundamentally disagree with the way that…”
Englander: Ten percent of top global financial firms use Model ML
“We can say now that we're about 10% of the largest private equity firms and investment banks in the world use our product.”
Englander: Model ML auto-generates near-complete earnings summaries from new releases
“Rather than having to go and gather that information, once that release happens, this one pager effect, it was actually three pages, a cover page, your main page, and a legal page, just appears in your SharePoint or Google Drive, right? And it's kind of 90, 95…”
Englander: Enterprise AI shifted from pilot testing to active usage in 2024
“This year everyone kind of, the whole world went from testing to using. So there were, and there was a fundamental shift.”
Englander: Top financial firms decide AI software purchases at the CEO level
“CEO level or in general, just the most senior people at the firm, regardless of if you're a top five or a top 10 investment bank, priority firm, as I said, or sovereign wealth, and whatever it might be which I think at the start we found, like, really strange,…”
Chas Englander: Financial software sales require face time due to buyer career risk
“A lot of times you're speaking to folks that, you know, if they make a wrong call here, they could get fired, right? And so you spend a lot of time building that trust. I think the big part of that trust is, is FaceTime and getting in front of people, obviousl…”
Englander: Model ML built an agentic AI alternative to Office Suite
“What that actually means in practice is we've, so we've built a workspace that's akin to kind of the office suite. So our own version of Word, PowerPoint, and Excel, with the major difference that it's built on top of an agentic system that kind of mirrors wha…”
Englander: Model ML signed an entire quarter of contracts in seven days
“Look, I mean, in the last seven days, we've signed the same number of contracts as we signed in the whole of Q four.”
Chas Englander: Patrick Collison resolved Fancy's Stripe ban within an hour
“On the payments one, we emailed Patrick directly and he responded. Like, within an hour, he sorted us out.”