how to spot a rocketship startup in AI - janvi kalra

Many of us optimize for the wrong things when choosing a startup to join: prestige, billion dollar valuations, or what’s trending in the news. In my last post, I shared why one should optimize for hypergrowth as well as distracting metrics to deprioritize. But how do you identify a company experiencing hypergrowth? And how do you get intel about their metrics given the information asymmetry when looking for a job? I take a stab at answering both based on my experience interviewing at too many AI startups (46 🫣). Mirror mirror on the wall, what’s the most important metric of them all? Revenue. And revenue growth. Revenue proves that a company has built something people need. A user parting ways with their hard-earned money is one of the best signals that they need the product, i.e. product-market fit. It also proves that the team is able to sell their product. Unfortunately, an exceptional product brings little value to the world if people don’t use it. Rate of revenue growth is also k

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