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Hypergrowth often resembles a dam bursting when a product resolves a constraint blocking many people at once. These customers were already stuck wishing for a solution, creating an immediate, massive wave of adoption once enablement appears.

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The rapid growth of AI products isn't due to a sudden market desire for AI technology itself. Rather, AI enables superior solutions for long-standing customer problems that were previously addressed with inadequate options. The demand existed long before the AI-powered supply arrived to meet it.

"Blocked" customers aren't using a bad alternative; they're doing nothing because no viable solution exists. You can't observe their struggle. Unlocking this latent demand, as Uber did for people who previously wouldn't travel, doesn't just steal market share—it creates a new market entirely.

Real demand isn't a wish list; it's an active struggle. "Coping" customers are fighting a subpar solution right now, while "blocked" customers would act immediately if a viable option existed. Both represent a "spring-loaded" market ready to adopt a new product that solves their problem.

A 'dam' represents pent-up demand where users are frustrated and merely 'coping' with the status quo. Introducing a 10x better solution, often via new tech, doesn't create demand; it bursts the dam, releasing a flood of customers who see it as a magical fix for a problem they already have.

Counterintuitively, building a hyper-growth company can be easier than a "lifestyle" business. When customer pull is intense, they do the heavy lifting to close deals and provide rapid feedback. This creates a virtuous cycle where velocity begets more velocity, whereas a low-demand product requires constant pushing.

The company Every experienced years of flat revenue before doubling its MRR in months. This inflection wasn't just due to product improvements but required a catalyst—an appearance on a popular podcast—to reintroduce the mature product bundle to the market and ignite rapid growth.

Founders often assume novel supply-side technology causes rapid startup growth. In reality, technology only reveals latent demand that was already present. Markets ignore products that unblock irrelevant constraints that buyers are not actively leaning against.

When growth stalls, founders feel overwhelmed by endless possible reasons. The problem is simpler: either you haven't identified who has "pull" for your product, or you have, but your process is actively preventing them from buying.

Startups rarely have the resources to educate a market or create a new wave. Success comes from identifying a market "earthquake"—a technological shift like ChatGPT that creates a sudden gap, levels the playing field against incumbents, and generates immediate budget and demand.

The unambiguous signal of Product-Market Fit (PMF) isn't a magic number in your analytics. It's when customer pull becomes so strong that it breaks your supply chain, logistics, and team capacity, forcing uncontrollable growth even without marketing spend.