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One thing I’ve learned coaching OL: Most Inside Zone problems are really combo problems. Oklahoma working C+G Pods here. Great way to drill: • displacement • LB flow • overtakes • timing on climbs We’ve started building entire pod progressions in the Vault around this.

12,984 views • 2 months ago •via X (Twitter)

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Alexandr Wang on why Paul Graham’s “Schlep Blindness” essay was seminal for Scale AI “One of the secrets to Scale AI — and I think this applies to almost every industry — was that the problem we were solving of building really high quality data sets was something that most machine learning teams knew was very important but it wasn’t necessarily the sexiest problem that every AI scientist wanted to spend their days and nights working on.” Alexandr continues: “There was one article that was pretty seminal for me early on. It was an essay by Paul Graham called ‘Schlep Blindness.’ I’d encourage everyone to read it if you get a chance. But basically the idea was that most people avoid thinking about the really difficult, hairy, ugly, and annoying problems that exist in the world but they’re really important. He actually uses Stripe as one of the examples in his essay, but these problems are everywhere. The ugly, hairy problems that everyone knows are important but aren’t sexy to work on — if you can identify what those problems are, they generally make really exciting startup ideas.” This was a lot of the original pitch for Scale: “You know this is important but you probably aren’t the most excited to work on it.” And then the early Scale team was super scrappy, which helped them earn the trust of their customers: “They saw our product velocity and how fast we were moving. They thought to themselves, ‘Even if they don’t have the perfect product today, they’re going to get to a product that we’re going to be able to rely on really quickly.’” Source: Startup Grind (Apr 2022)

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56,503 views • 2 months ago

Peter Thiel on how to build the next billion-dollar startup: "Every moment in the history of business happens only once. The next Mark Zuckerberg won't be starting a social networking site. The next Bill Gates won't start an operating system. The next Elon Musk won't start a Tesla electric car company." Peter's entire thesis rejects the idea of formulas in business. As he puts it: "Science starts with things that are experimentally repeatable, but great businesses are zero to one; they're always one-of-a-kind. There is always this anti-formulaic quality." So what's the one theme he keeps coming back to? "This need for differentiation. What are you doing that nobody else is doing? What ideas do you have that nobody else has? What great business are you working on that no one else is working on?" He continues: "If you're a founder or an entrepreneur, you should always aim to build a monopoly where you're the only person in the world doing what you're doing. There really are only two kinds of businesses in this world: businesses that are in crazy competition and one-of-a-kind businesses that are monopolies." On why you shouldn't just iterate your way to success: "The core thing is to have a great product, and then you can always improve and iterate on that. If you're just trying to optimize and you don't have a great product, that rarely works." His advice? Think 5 to 10 years ahead: "Why will this be a really valuable business in 5 to 10 years? How's the competitive landscape going to develop? These are hard questions to answer, but the great entrepreneurs I know always have some perspective on it. When I was playing chess, one of the early lessons I learned was, a bad plan is still always better than no plan at all." On what makes work meaningful: "It's great to be working on problems where if you weren't working on them, nobody else would do them. If we weren't doing this, this problem would absolutely not be tackled. That's what's meaningful. Whereas when you're competing, you're already, by definition, number two at least in a category." Build something only you can build.

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