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Pursuing difficult, ambitious ideas is strategically easier than chasing simple ones. Hard problems attract elite talent and investors, face less competition, and often require only marginally more effort (e.g., 3-5x) for a disproportionately larger reward (e.g., 100x).

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Contrary to conventional wisdom, pursuing massive, hard-to-solve ideas makes it easier to attract capital and top talent. Investors prefer the binary risk-reward of huge outcomes, and the best employees want to work on world-changing problems, not incremental improvements like a new calendar app.

Nvidia's CEO Jensen Huang reveals the company's core strategic filter: it only takes on projects that are incredibly difficult, have never been done before, and leverage the company's unique superpowers. This ensures a defensible moat, as easier problems attract too many competitors. This strategy requires an organizational tolerance for "pain and suffering."

Investor Moritz Baier-Lentz focuses on founders pursuing "global optima"—audacious, industry-defining goals. He actively avoids incremental ideas or teams that tout their "veteran" experience. The key traits he looks for are first-principles thinking and an obsession with solving a problem no one else is.

It's a fallacy that smaller goals are easier. For new ventures, a bigger, more ambitious vision is more differentiated and interesting. This makes it easier to recruit top-tier talent and attract key partners, which in turn simplifies execution and creates a flywheel of momentum.

To avoid being crushed by incumbents, AI startups must operate on ideas that are both non-obvious ("different") and difficult to execute ("hard"). If a startup's core idea becomes obvious to the world before it achieves significant scale, larger companies with more resources will inevitably co-opt the market.

There's a strong correlation between solo founders and deep tech ventures. The hypothesis is that if you're audacious enough to tackle a monumental technical challenge, the added difficulty of doing it alone feels like a rounding error. The entire endeavor is already set to maximum difficulty.

Solving a big, ambitious problem isn't just for market size; it's a powerful recruiting tool. It's not materially harder than solving a smaller problem, but it attracts more interesting, motivated people who want to work on challenging missions. This talent advantage can be decisive.

The founder of Better Auth argues that all startup ventures are inherently difficult, regardless of their scope. Since the level of effort and hardship will be high either way, founders should choose to work on ambitious, potentially world-changing problems rather than smaller, less impactful ideas.

Building any biotech is incredibly hard, so trying to find an 'easy' problem is a fallacy. Instead, founders should choose a massive, impactful problem. The sheer scale of the mission provides the necessary motivation for the team to persist through the inevitable, extreme challenges of development.

It's a fallacy that a 10x goal is proportionally harder than a 10% improvement. Both require overcoming inertia and facing significant challenges. Since substantial effort is required either way, aiming for the bigger, more transformative goal is often the better strategy.

Founders Should Tackle Hard Problems for 100x Payoffs with Only 3x the Effort | RiffOn