Genetic algorithms are a type of optimization technique inspired by the process of natural selection, used to find the best solution to complex problems by iteratively selecting and breeding candidate solutions. In the tech community, genetic algorithms are relevant for startups looking to optimize complex systems, such as resource allocation, scheduling, and machine learning model tuning, allowing them to efficiently explore large solution spaces and identify innovative solutions that might be difficult or impossible to find using traditional methods.