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A CD collector's problem in 2014 quietly evolved into AI agent infrastructure

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In 2014, a developer was inspired by a friend's father who repeatedly bought duplicate CDs to build a simple collection-tracking app. As he spoke with more collectors, he discovered the real challenge: everyone organizes their collections differently, making rigid data schemas inadequate. This led him to pursue a flexible system that could adapt to any collector's logic without predefined structures. Over years of iteration, career growth, and work in backend and AI systems, the project gradually matured beyond its original scope. What began as a niche tool for hobbyists eventually evolved into infrastructure capable of supporting AI agents.

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A CD collector's problem in 2014 quietly evolved into AI agent infrastructure · ShortSingh