Why Most Early-Stage AI Startups Fail at Distribution, Not at Building

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Dozens of AI startups launch every week on platforms like Product Hunt and Hacker News, but most fade quickly — not due to poor products, but because founders mistake a launch event for a distribution strategy. Advances in AI tooling have made building products easier than ever, yet getting consistently discovered remains as difficult as before. Companies like Perplexity AI and Lovable succeeded by treating distribution as an ongoing capability rather than a one-time campaign. Perplexity grew by making its value proposition easy to share, while Lovable turned its users into a distribution channel by encouraging them to showcase what they built. The core lesson is that early-stage AI startups need to measure and develop distribution with the same rigor they apply to product development.

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