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Jake Pearson
@jakelievpearson
2 days ago
I keep running into conflicting takes on this and I'd love to hear from people with real experience. What would you tell someone facing this today, and what would you do differently if you could start over?
There's no single right answer, but the biggest mistake I see is optimizing too early. Get one honest data point, then adjust. That mindset has served me well for a decade.
Counterintuitive take: most of the value comes from a few decisions, not from perfect execution. Identify the two or three things that actually move the needle and ignore the rest.
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