Lin reports, “Like other startups that have been challenged by the emergence of generative AI, Crunchbase needed to pivot. At a leadership meeting convened to discuss its future, McConnell said the team decided it could make predictions using its most valuable asset: the proprietary data generated by the startup’s 80 million users.
“That data isn’t the public information on a company’s profile. It’s all of the data Crunchbase doesn’t expose to its users, such as when company profiles have been edited, who edits them and what they’re editing.
“If a startup’s employee makes edits to a company’s profile and is searching for investor profiles, plus there’s a spike in investor interest in that startup’s profile, those are the kinds of signals Crunchbase’s AI uses to indicate the startup is about to raise funding, McConnell said.”
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