AI Agents Can Build Products Faster, But Finding Users Remains a Human Problem

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AI coding agents have become significantly more capable, able to read repositories, run tests, browse documentation, and operate across connected tools via standards like MCP. This has removed much of the manual context-sharing that slowed developers down, allowing faster prototyping and shipping. However, the speed gains have made a deeper bottleneck more visible: finding the right people who actually need what has been built. Early-stage builders still rely on manual outreach through social media, forums, and personal networks to locate beta users and design partners. The article argues that demand discovery requires precise, targeted matching rather than broad public announcements, and that this remains a challenge AI tools have yet to meaningfully solve.

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