Deep Tech Startups
topic on 4 shows · 7 statements across 6 episodes
7 statements about Deep Tech Startups, every show
Kann: Rountree's Deep Tech Thesis Excludes Most Startups in the Space
“I think it's correct, but it also describes a world that honestly excludes the vast majority of startups in this space.”
Rountree: Perfecting Technology in the Lab Delays Crucial Commercial Learning
“One of the things I didn't see there is that the learning curve matters. And once you start doing a thing, you tend to get better at it. And if you're commercializing something at small scale, you're kind of working out all the kinks that if you're, you know, …”
Coogan: Hard tech startups gain major arbitrage decomposing mega-projects
“When you start doing these mega projects, things really, really slow down. And so there's a, it seems like there's a lot of arbitrage right now in just deep tech, hard tech startups taking something really huge and then decomposing it into something that's mor…”
Thiel: Early deep tech models should prioritize error bars over detail
“It can be helpful just to put error bars and understand the sensitivities on things earlier on and go down the deeper, more detailed design rabbit holes when the higher level stuff is fixed.”
Friedberg: Experienced execs are less likely to succeed in deep tech innovation
“They hire the tried and true experienced executives, who generally have older kids and live in a nice house and have made a bunch of money. And the earnestness, the motivation, the hunger, the fuel, the creativity, because they know what they know, and they're…”