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Many ambitious crypto and AI projects fail not because the concept is flawed, but because execution stumbles somewhere along the way.
Then you see outliers like those building real solutions for actual pain points in the AI space. They didn't just theorize—they shipped something users genuinely wanted. The proof? Over 100,000 users onboarded in a remarkably short timeframe.
That's the difference between projects that talk about scale and projects that actually achieve it. It's rarely about having the best idea. It's about moving fast, iterating on feedback, and staying relentless on what users need.