Sue Xu, Ph.D. is Managing Partner at Amino Capital, an early-stage venture firm in Palo Alto investing across AI, SaaS, consumer, Web3, and frontier technologies with a core focus on data moats and network effects. ~~~~~~~~~~~~~This episode is brought to you by Nebius — the ultimate cloud for AI innovators.Nebius provides AI infrastructure you can count on, combining reliability and speed with flexibility and engineering support unmatched by hyperscalers.AI leaders like Meta, Shopify, and Higgsfield already partner with Nebius to run their AI workloads. Plus, venture-backed startups can save up to $150,000 on compute costs when they apply for access. Visit nebius.com or nebius.com/startups to learn more~~~~~~~~~~~~~Since joining in 2012, she has led investments in 300+ startups from seed to Series A, helping build ~20 unicorns and 45+ companies valued over $100M, including Chime, Rippling, Webflow, Replit, and Grail (acquired by Illumina). A former Stanford medical researcher and founding scientist on multiple biotech spin-offs, she holds three patents and 20+ publications, and began her career building lab-based biotech ventures. Beyond investing, she has spoken at the UN General Assembly on AI and human impact, and regularly teaches and lectures on entrepreneurship, data systems, and global innovation.Topics

• What actually creates “data moat” companies in AI and SaaS
• From Stanford lab spin-offs to unicorn outcomes: patterns that repeat
• AI unicorn readiness with network effects at 300+ investment scale

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