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 12 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
Larry Kim: Customers.ai differentiates by running its own LLM, not ChatGPT API.
“These AI companies are just like invoking chat GPT API. I think we're significantly differentiated from that because we have our own LLM.”
Larry Kim: Traditional venture debt diligence is barely less painful than equity.
“Months, months. And then they want to meet the founder and they want to like, you know, look at all your books and everything. Like, so it's just like slightly less painful than doing a bonafide like venture round.”
Larry Kim: Facebook ecosystem enabled $1M ARR quickly but carried severe risk.
“The neat thing is that you can build these products that go from zero to a million in no time at all, because you're leveraging that audience, that enormous Facebook audience. The downside is you're not in charge of that.”
Larry Kim: Startup pivots almost never work; missing usually means complete failure.
“It's usually the case that you swing at something, you miss, and then the company goes down in flames. It's rare that, that, you know, you're able to, like, these pivots, they almost never work.”
Larry Kim: Customers.ai burns less than $1 per net ARR dollar added.
“It's we're burning less than a dollar for every net dollar of ARR being added, which you know, if you believe David Sacks or whatever, that guy says something like that's, we never see that he says.”
Larry Kim: Selling lead data captures more wallet share than advertising software.
“WordStream was like a kind of a management tool. They would spend 500 dollars with us for the tool expense, but then they would spend 10,000 on leads through Google and Facebook. So, so our share of wallet was, you know, smaller, more modest. Here we're provid…”
Larry Kim: MobileMonkey reached $1M ARR in under a year.
“We went from zero to a million in a very short period of time, like under a year”
Larry Kim: MobileMonkey's bank balance dropped to $200,000 during business stall.
“It got down to, you know, a couple 100,000 dollars at one point.”
Larry Kim: $400K FounderPath loan and personal capital bridged pivot past $2M.
“Initially it was about a 400 K loan. You know, we had over a million in revenue, so that's, you know, 400 K is like, you know, less than 40% of a month's of ARR. And then I put an equal amount of capital in you know, just to gross that up a little bit and that…”
Larry Kim: Customers.ai targets mid-to-high single-digit millions in 2023 ARR.
“We'll call it mid to high single digit millions in AR.”