Yifan Zhang: Moving from Founder to AI Investor скачать в хорошем качестве

Yifan Zhang: Moving from Founder to AI Investor

00:00 – Founder Origins Yifan discusses her path from Harvard to SF, building GymPact and Loftium, and how her "born founder" mindset informs her current role as an investor. 00:58 – The New AI Bar Fundraising has shifted; a "story" isn't enough. Investors now demand high-level traction and a clear path to $1M ARR due to how easy it is to build with AI. 02:26 – The "Non-Obvious" Era We’ve moved past obvious areas disruptable by LLMs in 2023, and moved into the non-obvious areas in 2025, a path similar to the mobile era driven by the iPhone in late 2000's early 2010's. 06:07 – B2C Difficulties Consumer AI is tough due to a "vicious cycle": high user expectations, low willingness to pay, and real costs of AI tokens and more. 08:52 – Industry "Truth" Yifan's top metric for founders is an obsession with industry truth—seeking nuanced, first-principles insights over generic knowledge. 09:24 – SF vs. Seattle Culture She compares SF’s high-speed "hustle" culture with Seattle’s older, corporate-heavy demographic, speed matters everywhere now in the AI age but so does experience. 11:19 – Seattle’s Missing Link Seattle has elite talent but lacks a robust founder culture. Many tech workers are too insulated in Big Tech to understand startup risk and MVPs, or even know a single real founder. 13:11 – AI House & Community To bridge the culture gap, AI House facilitates serendipitous learning between new founders and veterans like Derek (Yoodli CTO). 14:59 – Success Story: Yoodli Yoodli serves as a template for success, having raised a $40M Series B by pivoting and solving communication gaps for massive brands. 16:55 – Market Evolution The winners won't be "AI companies" in name, but companies using AI to solve deep-seated industrial "last mile" problems. 20:23 – Founder-Investor Mix Yifan identifies as 90% founder, preferring hands-on strategy and hiring over traditional, hands-off venture capital management. 21:45 – Seattle B2C Paradox Despite her consumer background, she explains why Seattle remains a B2B stronghold and why B2C AI is a difficult current bet. 25:11 – Stickerbox & Defensibility She highlights Stickerbox (kids' AI toy) as a rare B2C win because its physical hardware creates a moat software can't easily replicate in a wide open space. 26:00 – Consumer Model Readiness AI models aren't yet cheap or reliable enough for a "free and ubiquitous" consumer product on the scale of Google or Facebook. 27:24 – The SaaS Evolution SaaS isn't dying; it's evolving. While building is easier, corporate buying patterns haven't fundamentally changed—they just expect more for less. 28:59 – Obvious vs. Non-Obvious Warning: Don't build 2023 tools (like sales bots) in 2026. The major bets are already placed; you'll be "conflicted out" of capital. 30:12 – AI in Education A hot take: AI should stay in the background. It should handle admin so the human student-teacher relationship can remain central. 31:58 – The "Firehose" of Learning Founder skills are learned through exposure, not classrooms. Community hubs like AI House provide the necessary "firehose" of experience. 34:36 – Advice for AI founders: Yifan seeks founders with "controversial truths" about specific industries, who aren't afraid to face their own startups' real issues. 37:02 – Coming Soon: Seattle Startup Summit! The episode wraps with a teaser for the upcoming Seattle Startup Summit, a major event for the local ecosystem.