This episode is super, super important. How to pick big problems. You aren't solving big problems.

You won't make big money. When you find a problem, that's where the money is. That's not a mindset,

by the way. It's a skill set. Big Harry solvable. This is where most scaling problems and opportunities live.

This is the exact moment where most people run, and thus you get to lean in. This is a big deal podcast, and I'm Cody Sanchez. Welcome back. Today we're talking to

you builders about how to make more money. The truth that we have today is if you aren't

solving big problems, you won't make big money. And I wish I had heard this sooner, that if you want to make more,

the easiest way is to find the hardest game and to play it. You know, the truth of matter is in

business, you're always going to have problems. If your business doesn't have problems, it's probably

dead. So I want to teach you a framework I use that helps me find the right problems that will make

you lots of money. And this is why what I'm talking to you about

is so critical today. If your business picks the wrong problems to focus on, you will lose all

your money and not make any more of it. If your team picks the wrong problems, you're dead.

And if you as an employee pick the wrong problems, you'll never make more money. So this

episode is super, super important. How to pick big problems.

Oftentimes we run away from big problems, right? We want to beat our head against the wall

when you come up to them. But I think this story started to reframe it totally for me. So a few

months ago, Mark Andreessen was asked why Elon Musk is able to build rockets, electric cards, brain chips,

tunnels, so effectively. And whether you like his politics or not, the answer was so good.

Mark said simply, what Elon does is he shows up every week at each one of his companies.

He identifies the biggest problem that the company's having that week.

He fixes it, then he finds a new problem, and he does that every week for 52 weeks in a row.

It's a relentless problem loop. Simple in theory and brutal in practice. It requires proximity,

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