Why startups die before they run out of money

A startup rarely dies on the day its bank balance reaches zero. The crisis normally begins earlier, when the team stops distinguishing facts from hopes. Early sales are treated as proof of a market, one investor's interest as confirmation of valuation, and constant product changes as progress.

One of the most expensive mistakes is scaling something that has not yet become repeatable. If every customer requires the founder's involvement, a custom price, and manual setup, this is not yet a working model but a series of separate deals. Increasing the advertising budget in this situation only accelerates spending.

Another cause is the absence of stopping criteria. Teams define what success should look like, but rarely agree in advance which evidence would require them to change or close a hypothesis. New features, audiences, and explanations are then added while the original idea is protected at any cost.

A viable startup is built through short tests: who pays, what value they pay for, how much acquisition costs, whether customers return, and whether the sale can be repeated without the founder's heroics. The sooner these questions receive numerical answers, the more capital remains for a model that actually works.