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 7 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
Szczerba: Professional services revenue is a failure for a software company
“Quite frankly, we see professional services revenue as a fail.”
Szczerba: $1M ARR will secure a $15M to $20M Series A valuation
“I think a good AIR at a million bucks is gonna get us a really nice Series A. Where you're selling 10, 20% of the company in good terms? 10, 20% of the company in good terms, you know pre-money valuation between the 15 to twenty-ish.”
Szczerba: Data products should avoid seat-based pricing to maximize customer value
“In fact, we love universal usage of our data with inside of a customer, right? The more they use, the more valuable we are to them. And so we don't want to put in any kind of artificial barriers and saying, oh my God, there's only this many people get these re…”
Yeti Data offered a 30-20-10% decaying discount on its convertible note
“So, 30% discount if you discount, if you came in in the first 30 days of fundraising, then 20% in the second day, and then 10% after that.”
Szczerba: Yeti Data customers pay $250k to $500k annually
“Average customers is paying us around two 50 to 500 K a year.”
Szczerba: Machine learning is standard actuarial science used for a century
“Machine learning is something very, very specific, and not very hocus pocus, right? I mean, machine learning was something that I don't know, Actuaries inside the insurance industry have been using for, you know, a hundred years.”