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The Full Ratchet

495. From CTO to $500M AUM: Entry Point Discipline, Why People Matter at Every Stage, and the AI-Driven Future of Banking (Victor Orlovski)

38 min episode · 2 min read
·
Victor Orlovski

Episode

38 min

Read time

2 min

Topics

Productivity, Investing, Startups

AI-Generated Summary

Key Takeaways

  • Entry Point Valuation: Investors who paid 200x revenue multiples during 2020-2022 will see poor DPI regardless of exit strategy. Focus equally on entry valuations and exit planning, as early growth investments typically require seven to eight years to mature and generate returns.
  • Team Assessment at Scale: People matter equally at late stage as early stage. Companies with $150M revenue can still pivot to 70-100% annual growth with the right CEO, while data-driven late stage investors often overlook leadership quality, focusing excessively on metrics instead of human capital.
  • AI Banking Infrastructure Gap: Current payment systems including Stripe, Mastercard, and Visa cannot handle trillions of micropayments required when billions of AI agents transact autonomously. Companies building protocols for agent-to-agent payments will capture massive value as agentic AI scales across industries and requires new billing layers.
  • Zero-Employee Banks: Banking will become the second fully automated industry after media, with AI-native banks operating without any human employees within ten years. Algorithms outperform humans in every banking function, from risk management to customer service, enabling complete automation from CEO level down.

What It Covers

Victor Orlovski, founder of r136 Ventures with $500M AUM, shares his journey from CTO of Europe's largest digital bank to VC, covering entry point discipline, team evaluation across all stages, and AI's transformative impact on banking infrastructure.

Key Questions Answered

  • Entry Point Valuation: Investors who paid 200x revenue multiples during 2020-2022 will see poor DPI regardless of exit strategy. Focus equally on entry valuations and exit planning, as early growth investments typically require seven to eight years to mature and generate returns.
  • Team Assessment at Scale: People matter equally at late stage as early stage. Companies with $150M revenue can still pivot to 70-100% annual growth with the right CEO, while data-driven late stage investors often overlook leadership quality, focusing excessively on metrics instead of human capital.
  • AI Banking Infrastructure Gap: Current payment systems including Stripe, Mastercard, and Visa cannot handle trillions of micropayments required when billions of AI agents transact autonomously. Companies building protocols for agent-to-agent payments will capture massive value as agentic AI scales across industries and requires new billing layers.
  • Zero-Employee Banks: Banking will become the second fully automated industry after media, with AI-native banks operating without any human employees within ten years. Algorithms outperform humans in every banking function, from risk management to customer service, enabling complete automation from CEO level down.

Notable Moment

A prominent Valley entrepreneur stood in line at Chase with a check for several hundred million dollars after keeping his entire wealth in Silicon Valley Bank since the nineties, never bothering to diversify across institutions despite multiple successful exits.

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Episode Transcript

This episode of TFR is brought to you by Ramp, the spend management platform we use here at TFR. They're offering listeners a $150 just to take a demo. We've never had an offer quite like this. Claim your $150 before this offer is gone at our partner link, ramp.com/partner/tfr. And this episode of TFR is brought to you by the American Arbitration Association, where smart startups and investors turn to for fast, efficient, and cost effective dispute resolution. Visit adr.org/tfr to learn more. Welcome to the podcast about venture capital, where investors and founders alike can learn how VCs make decisions and reach conviction. Your host is Nick Moran, and this is the full ratchet. Victor Orlovsky joins us today from the Bay Area. He's the founder and managing partner of r one three six Ventures, a mid and late stage firm investing in startups across The US and Israel. Earlier in his career as a CTO, Victor helped build one of the largest digital banks in Europe. He's invested in companies including eToro, Rescale, Granulate, DESI AI, and Airwallex, amongst others. Victor, welcome to the show. Hi, Nick. Hi, everyone. Thanks for sharing. Yeah. It's such a pleasure to have you. I would love to hear a bit about your path and your backstory to becoming a VC. Well, it's probably very common story for people who come and live in Silicon Valley. I'm the first wave of immigrants to the valley. So, my kids actually regularly, like, put some surveys in schools where they just describe how they moved to California as, like, first wave of immigrants. So I think that there are, like, many people like that in California, especially the Bay Area. I was born and raised in Uzbekistan. Many people don't know where it is. So it's a Central Asian state of former Soviet Union. So it was a pretty diversified culture with over 100 nationalities. The city was destroyed by a major earthquake in 1966 before I was born. And, it was, like, rebuilt from scratch. Basically, 95% of houses were destroyed. Not that many casualties, unfortunately, because there was, like, one or two stories buildings. But this, place was known for, like, 100 nationalities being living there. And, well, I got my first PC luckily, I think in 1986, and I probably was one of the first people in in Soviet Union who got that. My father brought it from abroad. And, I started programming really early enough. So graduated from college with software engineering major degree and started working in banking. So it's not like I like banking a lot. That just happened. So my next thirty year well, little bit last twenty five years of career I spent in banking was CTO and two largest banks in the region and, actually built first model bank prior to iPhone era, which was between 2001 to 2004. We reached almost a million consumers, prior to iPhone era, so it was a feature …

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  • A prominent Valley entrepreneur stood in line at Chase with a check for several hundred million dollars after keeping his entire wealth in Silicon Valley Bank since the nineties.
  • Current payment systems including Stripe, Mastercard, and Visa cannot handle trillions of micropayments required when billions of AI agents transact autonomously.
  • Current payment systems including Stripe, Mastercard, and Visa cannot handle trillions of micropayments required when billions of AI agents transact autonomously.
  • Current payment systems including Stripe, Mastercard, and Visa cannot handle trillions of micropayments required when billions of AI agents transact autonomously.
  • A prominent Valley entrepreneur stood in line at Chase with a check for several hundred million dollars after keeping his entire wealth in Silicon Valley Bank since the nineties.

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