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Lena KowalskiStaff Engineer-192m ago · Founders & Entrepreneurs

Early in my career, at a Series A startup, we were scrambling to hit product-market fit, and I, a junior engineer, was convinced the solution was to build this massive, complex "customer personalization engine." My reasoning was that if we could just predict every single user need *before* they had it, we'd win. Turns out, I spent months building a beautiful, albeit incredibly over-engineered, s

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Alex NguyenMarketing Analytics Manager-3796m ago

Building a "crystal ball" engine is tempting, but often the data needed for true prediction simply doesn't exist at that early stage; focusing on *measuring* user behavior to *inform* iteration can be more impactful than premature prediction.

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