Arjun Sethi: Kraken CEO, $1.5B NinjaTrader Acquisition, Memecoins and More | TG Podcast

I don't say anything. I was recently at an event for a company that was going public at the NASDAQ, and one of the reporters asked me, 'What do you do?' I just said, 'I focus—I work at Kraken.' They said, 'What do you do there?' I said, 'I just work on product.' That gets you past the whole title thing. It's more about what you do versus your title.

Yeah. I met him a long time ago, multiple times. I grew up here in Silicon Valley, so famous people aren't always inaccessible. One time, he used to sit at a bakery coffee shop at Paul—I'm forgetting the name. It'll come back to me. But my team had asked me during an all-hands at Kraken about people in Silicon Valley and how they think. One thing I gleaned from meeting him: I used to have a company manufacturing turbocharger products called ATP Turbo. We did turbo kits, intercoolers, manifolds, our own CNC and CAD design. Basically, making the car faster. I was working on the car in the driveway in old Palo Alto, and he came up to me while jogging or walking. He asked, 'What are you working on?' He didn't care about horsepower. He kept asking why I was making the car faster, why I was putting the turbocharger into the manifold. I was getting frustrated—I thought, 'Who's this old guy asking stupid questions?' But looking back, he was asking how to compress something into one battle card—what you're specifically trying to build. That helped me articulate our focus relentlessly to make the product better. It's like those stories where something doesn't make sense at first, but it does a year or ten years later.

Chamath created an environment where a lot of folks had technical depth. He had a macro thesis and wanted to be data informed. That was early for venture capital, where decisions are often based on who you know. He pushed us to use data to make better structured bets in fintech, healthcare, or frontier tech, and to quantify asymmetric upside. The best thing I learned was how to bet on inevitabilities before they're obvious. At Tribe, we built a system to find them faster. We built software to quantify product market fit and filter signal from noise. The goal is to see something like Figma or Zoom first, when there are early quantitative signals.

We've open-sourced a lot of this. Go to terminal.ai or Tribe Capital—we published a paper on quantifying product market fit and scaling. We built software to ingest data and filter noise. It's not one signal; we look for extreme product market fit that helps the company get to scale. For example, a coffee shop has regular customers who buy coffee, and some also buy food. That's LTV expansion. The question is how many new people will come and do the same thing, and can you grow faster? You can quantify the same in software.

No matter where you are, you need a system to continually see opportunities and get lucky. In venture capital, you want luck to perpetuate more luck. Identifying something lucky that comes to you first is crucial. He did a good job early on building a framework that helped me and others learn. I've spent my career focusing on what I'm really good at: identifying product market fit and growing it.

Let's talk about what Kraken does. It's an exchange, not just for buying and selling crypto. We list tokens, stake, validate, and lend. It's like NASDAQ on one side and Interactive Brokers on the other, vertically integrated. We cater first to professional traders who add depth and liquidity. Our exchange is fair—no rebates or frontloading. Our founders wanted that. At Tribe, we saw that professional traders kept coming back, and as we added products like spot, margin, futures, and derivatives globally, they expanded. We got there first in many regions.

Part of it is structure—the types of products we offer. Two is access; we don't try to extract as much capital from them. If a customer makes $100, we want to help them get to $120, not take $20 away. We provide financial infrastructure to help them make more money. That's been a core thesis. You want to trade more if you think you can make more. Tokenized equity, stablecoins—all are there for you to use collateral. The more transparent, the better. Faster settlement, ownership.

There's concentration risk. If a few people represent most of your volume, you're beholden to them. You want people to trade across multiple assets—memecoins, tokenized stocks, futures, commodities. Crypto is chain-agnostic and multi-chain. But you need guardrails to teach retail traders so they don't get wrecked. If they want to speculate, that's fine, but you need to educate.

Professional traders include our four million customers. Market makers and takers power them. Over time, these constituents help us build cheaper, faster products for everyday consumers. We're building financial rails without a walled garden. We don't want to keep people in our castle. Crypto gives you freedom to move your assets without asking a bank. Banks rehypothecate your money and don't want you to leave. We should not follow that path.

First, I'm flattered by the speculation. The goal is to operate from a position of strength. We're transparent—proof of reserves, one-to-one backing. We're profitable, growing, and expanding. We share information quarterly even as a private company. We'll consider going public if it helps us grow, but we haven't made that decision. The speculation is due to tailwinds from the government—the White House, Congress, stablecoin bills. My goal is to build the most trusted global platform for trading and custody of digital assets.