
0 plays · Sep 18, 2026
Nataraj speaks with Mike Collins, founder of Alumni Ventures, about how his firm opened up venture capital to individual investors through pooled funds and co-investing. They also dig into the structural problems in private markets, why companies stay private longer, and how AI is reshaping venture without eliminating the need for patience, judgment, and diversification.Key topics
Timestamps
00:00 - Introduction and why Alumni Ventures matters
00:24 - Mike Collins’ VC background and founding Alumni Ventures
01:24 - The mission: access and education for individual investors
03:59 - How an alumni fund is structured and invested
05:55 - Why pooled capital and network scale matter
06:24 - Venture capital as a core engine of the economy
07:28 - Why most individuals need private-company exposure
08:51 - Why venture portfolios need diversification
10:33 - Green D fund leadership and how team sourcing works
11:52 - How deals get allocated across multiple funds
13:11 - Venture as a long-term, slow-compounding asset class
14:07 - Building a venture allocation over several years
15:04 - Why checking investments too often looks like trading
16:44 - The biggest accessibility problem in venture today
17:42 - Why public-company incentives have weakened
18:43 - Why companies delay going public
20:16 - Late-stage private companies and who captures the upside
21:14 - Why SpaceX illustrates the privatization of gains
22:51 - Public versus private markets and the role of competition
24:19 - AI as a real platform shift, not just hype
26:15 - Big opportunities beyond AI: energy, defense tech, healthcare
27:41 - The cultural bias toward doom and negative headlines
29:37 - Why staying private can help companies like Stripe
32:40 - How AI capital concentration affects the broader venture market
34:53 - The Series A squeeze and how market corrections happen
36:49 - The main paths to starting a new venture fund
39:15 - Why great companies still take decades to build
40:29 - Why AGI timelines are often faster in theory than in reality
42:24 - Regulatory backlash and the slower pace of adoption
43:18 - Self-driving cars as a cautionary example for AI timelines
44:54 - Why the last 5 percent of product adoption is the hardest
46:58 - AI as a tutor for learning venture capital
47:53 - Books and frameworks for understanding startups and VC
49:18 - How to filter noise and think in decades, not days
50:44 - Why the best investors often do the least trading
51:50 - Mike’s core investing rules and closing thoughts
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36:141 plays · May 1, 2026