This story doesn't have a glamorous beginning. It's about three technical people, each repeatedly troubled by data issues in their respective fields, who start venting to each other during a late-night voice chat. One works in cybersecurity, another manages financial data systems, and the third develops real-time analysis tools — each of them witnessing the same phenomenon: blockchain technology is powerful, but the quality of data flowing into it varies greatly, often a mess.

As they talk, they identify the core pain point: what the blockchain ecosystem lacks most isn't storage, but a complete data trust system. How can data be truly verified? How should it be distributed? How to protect it? No one has really solved this problem.

They chose an old apartment as their office, filled the whiteboard with sketches, and the microwave was broken beyond repair. Under these conditions, they conceived the idea of "Oracle 3.0" — an intelligent data solution capable of self-verification.

The development process was not smooth. Frequent disagreements, multiple rewrites, and countless moments of thinking "this just won't work." The first version was rough, only capable of pushing data, but it worked. Later, they added a pull mode, allowing developers to call data as needed — this step completely changed the system's flexibility.

The most agonizing phase was the early stage. No community support, no partners, only code and endless testing. They posted on major forums to promote it; most people ignored them, some even mocked them. But gradually, dozens of people came forward, attracted by this "self-verifying" technology concept. These people weren't just chasing hype; they genuinely believed they were doing something meaningful.

Trust was built little by little. As the technology matured, APRO also began to show its true potential.