CZ spent nearly a decade, from his first internship in Tokyo to managing a team at Bloomberg, exclusively building low-latency order execution systems for traditional finance. This deep, niche expertise became his unfair advantage when building Binance's high-performance matching engine.

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Despite massive financial incentives, high-frequency trading firms rarely develop custom ASICs. CZ explains that FPGAs offer the best trade-off between speed and flexibility. Trading algorithms change too frequently, making the long development cycle of custom silicon impractical compared to reprogrammable FPGAs.

CZ's key metric for Binance's health was Daily Active Users (DAU), not trading volume or revenue. He believed that as long as more users were finding value in the platform, long-term success was guaranteed, even if short-term revenue was not optimized.

CZ predicts millions of AI agents will soon transact on our behalf, booking hotels and making micropayments. Traditional banking systems cannot handle this volume, speed, or the KYC requirements for non-human entities, making crypto the only viable payment rail for the agent economy.

Before launching its own exchange, CZ's company provided "exchange-as-a-service" software to 30 other exchanges. When the Chinese government shut down their clients in 2017, they were forced to pivot, using their existing technology to launch Binance.

After six months of research convinced him of Bitcoin's potential, CZ demonstrated extreme conviction by selling his only major asset, an apartment in Shanghai for under $1M, to go all-in on Bitcoin. He bought in at an average price of $600 while the price was dropping.

A16Z's crypto fund prioritizes founders who have spent their careers deeply immersed in a specific sub-industry, even if it's outside crypto. This deep understanding of a problem set, like traditional finance rails or restaurant tech, is a crucial ingredient for success when applying blockchain solutions.

Before founding Factor, Ryan Rouse's 14 years in finance provided essential skills like communication and management not taught in startups. This corporate background also allowed him to build savings, enabling him to take the financial risk of starting a new venture without an immediate income, a crucial advantage over starting straight from school.

CZ's first entrepreneurial venture in Shanghai aimed to bring Wall Street tech to China. However, after launching, they discovered that as a Wholly Foreign-Owned Enterprise (WFOE), they were legally barred from working with Chinese financial institutions, forcing a pivot to general IT services.

CZ went from "barely financially free" to a Forbes cover billionaire almost overnight. This jump meant he skipped the gradual wealth accumulation stages (e.g., buying fancy cars, then yachts) and never developed expensive habits, retaining a practical, function-over-form lifestyle.

After working for years without officially graduating from McGill University, CZ needed a bachelor's degree solely to apply for a work visa in Japan. He pragmatically enrolled in an online program, the "American College of Computer Science," to check the box, demonstrating his focus on utility over prestige.