"Some of the hottest AI companies are scaling by "good instincts and good vibes," said a former Facebook VP."
""We see companies that are growing insane, and they're still about 10 people or two people," she said."
""They've got hundreds of millions in ARR and hundreds of millions of users, and you know what, they don't actually have all of that infrastructure, that logging, to be able to truly do data analysis," she added, speaking of annual recurring revenue."
""At that point, that's usually when people start investing a ton in data," she added. "Data helps you figure out what's actually happening.""
Many AI startups are scaling extremely rapidly without building foundational data infrastructure, logging, or analytics teams. Some firms reach hundreds of millions in ARR and user counts while remaining staffed by only a handful of people. The lack of observability prevents teams from understanding drivers of user behavior, feature value, churn, and revenue. When growth slows, companies often scramble to instrument systems and hire data experts to answer basic product and business questions. Conversational and chatbot products require new measurement approaches because traditional analytics and instrumentation do not capture interaction-driven value.
Read at Business Insider
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