Startup Anti-Patterns

Startup anti-patterns are common processes and decisions that initially seem beneficial but ultimately harm a company's chances of success by increasing risk and clouding focus. Rather than studying what makes startups succeed, which is difficult to pinpoint, experienced entrepreneurs and investors find it more valuable to identify repeatable patterns of failure. Simeon Simeonov and Itamar Novick have compiled an extensive list of over 50 startup anti-patterns—including elephant hunting, analysis paralysis, premature scaling, and arrogance—to help founders recognize and avoid these pitfalls.