Jeff Yan's Plan to Bring the Entire Financial Industry Onto Hyperliquid

Introduction to the Episode

0:00There are some market stories where you want every detail. Joe and I have made quite a few podcasts on that basis, but sometimes you've only got 10 minutes and just want to know what's moving markets fast. That's the Barclays Brief podcast. Every week, experts from Barclays Markets and Research get you up to speed on what's happening and what to watch next. Concise, focused, and brief. Search Barclays Brief wherever you get your podcasts. Some people treat ChatGPT like some kind of smart search engine, and some use it to get work done. ChatGPT Work is a new way of working in ChatGPT that can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work. It's designed to help you move from a chaotic starting point to a reviewable first version.

0:47So all the source materials, briefs, and scattered information that you have to grind through to turn into something useful can just become something useful. Put ChatGPT to work on your most ambitious ideas and projects. Get started at ChatGPT.com by selecting Work Mode, available on Plus and Pro Plans. For big business, AI opened up a world of promise, but that world of promise turned into a world of pain. Costs spiraling, data trapped, security and governance risks multiplying, and ROI out of reach.

1:20That's why enterprises turn to Boomi to connect data, apps, and AI, helping them operate securely, efficiently, and at scale. Boomi turns a world of AI pain into a world of AI gain. As Boomi says, we got you. Head to Boomi.com. That's B-O-O-M-I dot com. Bloomberg Audio Studios Podcasts Radio News

The Rise of New Trading Instruments

1:47Hello and welcome to another episode of the Odd Lots Podcast. I'm Joe Weisenthal. And I'm Tracy Alloway. Tracy, we're recording this. Tradie. Tradie, yeah. That's appropriate for this episode. Slip already, tradie. Tracy, we're recording this October 13th. In a couple days, we're going to be in Chicago.

2:17And we're going to, as we do when we go to Chicago, talk to some legends of the trading industry. Yeah. It's great to go to Chicago. We've never done a floor tour of any of the actual trading places in Chicago. We might do that. We should do that. Yeah, we should do that. But, of course, it's always an exciting time to sort of, like, talk to the trader community because there are just so many interesting things happening, like, in the world of trading per se. One of them is, of course, the rise of prediction markets, et cetera. Essentially, I kind of think, like, we're in this moment where so many different instruments can be expressed as other instruments in various ways.

2:54So you can have stocks that are, like, tokenized. You can have tokens that are ETFized, like crypto tokens that are put in ETFs. You can have prediction markets that actually are sort of, like, functionally predicting a stock. And then they become a stock. Essentially, you can replicate the economics of a stock. So all different types of things where, like, people are, like, rejiggering the way you can express a view with this incredible basket of, like, new instruments and platforms to do it on.

3:24Financialization on steroids. Can I go on a slight tangent for a second? Yeah, sure. So I have this media theory that I call the inverse pyramid. Yeah. And so the way I think about traditional media, it was sort of like a food pyramid, right? And you had original reporting was the layer at the bottom. So you had sort of old school reporters who were making phone calls, making scoops. And then maybe you had in the next rung, you had some people writing editorials or opinion columns on them, maybe a little bit of, like, video eventually on top. Nowadays, the pyramid is completely inverse, where the smallest layer is the original reporting.

3:58And then there's so much content built on top of that. I often think about finance today in those terms. In the sense that the underlying is kind of the smallest part of the market now. And there are so many new instruments built on top of it, whether it's derivatives, futures and options, or now it's, you know, prediction markets and things like that. It just feels like, you know, derivatives have been a bigger market than the underlying for a while. But it feels like the inversion of that pyramid is just getting bigger and bigger. That's a great take, right?

4:29And I didn't know where you were going with that until... I did. I got there eventually. Yeah, you got there. But right, you think of something like a SK Hynix or something like that. And, OK, there's some company and there's a stock of the trades. Then there's ADRs. And then there's 3x leveraged ADRs. And there's tokenized versions of it and so forth. And then there's prediction markets on where will SK Hynix close in the next 10 minutes. I don't know if that exists. If it doesn't, it will exist at some point, et cetera. But, like, there is so much to do on this topic. And, of course, you know, we did that episode not that long, a few years ago with Austin Campbell,

5:02talking about the potential for sort of blockchain to sort of unify and bring together a lot of different markets, I think, was one of the more compelling, quote, crypto, unquote, conversations that we've had, et cetera. And one of the things that's getting a lot of attention that combines all these things is this entity called Hyperliquid, which people who know it are obsessed with it, but it's not a household name yet. No. But the people who do know it are very into it. It's not a household name, even though it's been growing incredibly fast. Yeah.

5:32The one thing I know about it before starting prep for this episode was the mascot, which we have here, who's called Hyper. And I always approve of a company with a good mascot. So here we are. Well, you know, the company is a little bit sort of known for being a bit secretive. There's not like they don't do a ton of press. And so we're actually going to have to interview the mascot today because we weren't able. No, that's not true. Amazingly, we really do have. That'd be fun, though. Yeah. Amazingly, we really do have the perfect guest on the podcast, someone to move on to talk to for a long time.

Meeting Hyperliquid and Jeff Yen

6:03Jeff Yen, the co-founder and CEO of Hyperliquid Labs, is here in studio with us. So, Jeff, thank you so much for coming on OddLots. Thanks for having me. Why don't you give us the sort of basic view of like what Hyperliquid is today? I mean, this is we're going to go into this, but just big picture, like someone says, what's Hyperliquid? What do you answer them? Yeah, so Hyperliquid is a protocol. Okay. The tagline or aspirational goal is housing all of finance. And I think the community is serious about that.

6:34So we can go into what that means. But the short of it is a neutral layer on which finance can ultimately happen. It's the same way that electronic trading was a step function improvement over pit trading only a couple of decades ago. We view Hyperliquid, the protocol, as a sort of step function improvement over electronic but fragmented markets. So I know Joe said Hyperliquid is not necessarily a household name just yet, but it might be on its way to becoming one because just a couple months ago, Donald Trump was talking about Hyperliquid and talking about U.S. regulators working to bring Hyperliquid to the U.S.

7:19At the moment, if you're in the U.S., you, quote unquote, are not allowed to use Hyperliquid, although my understanding is a lot of people get around it using a VPN. When Trump said that, feel free to refute me on that. That's just what I read on Reddit, okay? But when Trump said that, were you aware that he was going to be talking about Hyperliquid at that point? I was not aware. So that was a huge surprise to me. Hyperliquid Labs, you know, works on the protocol. I suppose it may be good to give a bit of a breakdown of the various pieces.

7:53There's the protocol. It's a neutral blockchain. It's a collection of permissionless set of validators who operate a network collectively, which is sort of a global view of a single consistent state. Hyperliquid Labs is a team that builds technology for this blockchain, and we are a super small team. And there's sort of like, I think what the CFTC is referring to when they say they want to bring the protocol to the United States is that it is, in fact, against the terms of service of Hyperliquid at XYZ and many other interfaces for U.S. users to use the derivatives trading on the protocol.

8:36But the CFTC, I think the current administration, wants to kind of take a proactive approach towards on-chain rails for finance. I think it's a kind of technological view that markets can be improved and that the U.S. should not play a sort of, you know, extremely restrictive, should not have an extremely restrictive view on this, but rather should find ways where it can incorporate this technology into the existing financial system.

Understanding Blockchain Protocols

9:05So let's talk more about, I guess, what maybe the ecology or the ecosystem of Hyperliquid and the players, because you mentioned the word protocol. And I have to say, it's like at various times, the Bitcoiners would say, no, this is the new protocol, the Internet of Money. And Ethereum people talked about, oh, it's a protocol. This word gets used a lot. So why don't you just talk a little bit about, OK, it's a blockchain, but it obviously has higher aspirations than sort of like a typical crypto project.

9:35But like, I understand there's validators, deployers, et cetera. Maybe like give us the landscape of who does stuff on Hyperliquid and like what their roles are. Yeah, it's a good question. This is a very deep question. Yeah, it's a lot of stuff, but at a high level, a protocol is basically, it's kind of what it sounds like, you know, like there's like an HTTP protocol, like a TCP protocol. It's a messaging framework by which different validators in this case agree to communicate by these rules.

10:11And the interesting thing about a sort of a blockchain protocol as compared to a purely informational format protocol is that the rules under certain assumptions in this case, in the case of Hyperliquid, that two thirds of the stake of the network is what we call non-Byzantine, which is to say that they operate under the normal rules of the protocol. That you get all these great properties, which is that these validators can operate independently. And basically that's all, you don't really need to assume much more.

10:44The network will come to a consistent view of the world. And this is really important for finance, right? Because it's sort of a, it is kind of the first layer. If you're talking about the pyramid of like things that need to happen for a global financial system, if you think about it, the very, very base layer of the sort of information in the system is that everyone needs to agree. If we don't agree on what the ledger of balances is, for example, then all bets are off. So at a minimum, we all need to agree like there's this much in your account, this much in Tracy's account, this much in my account, and also like what the prices are of the, like there's some basic things that like every participant needs to agree on.

11:22And in a regulated exchange, that's pretty simple. We trust this company, they're going to market, but in a decentralized one, you need some trick to get, not a trick, but you need some like mechanism to get independent validators to all agree. Yes, and there can, I would draw the distinction, it's kind of an orthogonal question of whether there is a regulated entity deploying the markets. And in fact, I think there very much will be, and it's not an either or, I think you can kind of benefit from the resiliency of an on-chain network, even if a single registered entity has permissions over the markets that they deploy.

12:00The benefits of the technology are that if you want to run a 24-7, 365 exchange, it's not a simple task. And any sort of mistakes that you may make, whether it's with the matching engine, with the clearing, any of the vendors in the stack, ultimately, that is a single point of failure for a very critical piece of infrastructure for the financial system. If the rails on which it is built consists of a diverse distributed set of validators where one or even many can go down at any moment in time and the network still maintains its important properties, which is that everyone agrees on the state and that it continues progressing forward at the usual throughput, then all of a sudden you have a much more stable foundation on which to build your regulated exchange.

Perpetual Futures Mechanics

12:48Maybe just to hammer this point home, could you walk us through an example of, say, you know, I buy a million dollars worth of a certain perpetual futures contract? What's your most popular perpetual futures at the moment? It actually varies. So between real world assets or things like Bitcoin, I think right now it is the perpetuals on Bitcoin's price. OK, well, let's say I buy a million worth of perps on Bitcoin. Who is actually taking the other side?

13:18Is there collateral involved? Where is the collateral kept? Who determines the liquidation price when the trade ultimately unwinds? And who loses money if, for whatever reason, I can't actually pay? I was going to say, if by some miracle Tracy makes money, who is on the lose again? But anyway, yeah, walk us through how that works. Well, first of all, I just want to reiterate that as an American, you probably are not opening this position. OK, OK, pretend that I live in Singapore. OK, if you're a Singaporean living in Singapore or a European living in Europe. For anyone who lives in a free country.

13:49No. Can I trade on my Austrian passport? This is an interesting question. Probably in Austria. Yeah, all right. The mechanisms, all of which you mentioned, I believe, are not so different from futures contracts on the futures exchange. Perhaps the one that is interesting here is the, so, you know, there's a counterparty in the order book. The liquidation is set by the system. So it's not a subjective. It's not like someone actively is setting a liquidation price. It's rules-based. Yeah, it's a property of the clearing system. The unique thing here is that the clearing system is on-chain.

14:21So the threshold at which it happens and the mechanism by which the liquidation happens, which we can get into. It's analogous to the, what is the traditional default waterfall in a U.S.-regulated futures exchange, for example. Analogous. Different names. That happens in an on-chain implementation. So the execution of the, what is called hyper-core, it's kind of like, you can view it as like a sub-module of the blockchain state itself, autonomously carries out the mechanisms of these things like clearing and liquidations.

15:06There are some market stories where you want every detail. Tracy and I have made quite a few podcasts on that basis, but sometimes you've only got 10 minutes and need to know what's moving markets and why. That's the Barclays Brief podcast. Every week, experts from Barclays markets and research get you up to speed on what matters and what to watch next. About the time it takes to grab a coffee. So search Barclays Brief wherever you get your podcasts. Some people treat ChatGPT like some kind of smart search engine, and some use it to get work done.

15:40ChatGPT Work is a new way of working in ChatGPT that can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work. It's designed to help you move from a chaotic starting point to a reviewable first version. So all the source materials, briefs, and scattered information that you have to grind through to turn into something useful can just become something useful. Put ChatGPT to work on your most ambitious ideas and projects. Get started at ChatGPT.com by selecting Work Mode, available on Plus and Pro plans.

16:16Running a small business takes everything you've got. But with Chase for Business, you're not alone. They bring together local support and a broad range of resources to more than 7 million customers. With a deep understanding of your day-to-day needs, they provide products and guidance built to help you thrive. Right now, earn $500 when you open a new Chase Business Complete Checking account for new business checking customers with qualifying activities. Offer expires January 21, 2027. Chase Business Complete Checking has the flexible tools you need to accept payments, make deposits, and manage your finances with confidence.

16:51Learn more at Chase.com slash podcast biz offer. Chase, make more of what's yours. Fees may apply to Chase Business Complete Checking accounts. The $500 offer is available for new business checking accounts with qualifying activities through 1-21-2027. Eligibility and qualification requirements must be met. Additional restrictions may apply. Please speak with a business banker for more information. JPMorgan Chase Bank, N.A., member FDIC. For big business, AI opened up a world of promise, but that world of promise turned into a world of pain.

17:23Cost spiraling, data scattered across disconnected systems, security and governance increasingly complex, AI initiatives struggling to scale, and ROI that remains frustratingly out of reach. The challenge isn't AI itself, it's having the infrastructure AI needs to succeed, which is right where Boomi says we got you. Tens of thousands of enterprises trust Boomi to connect data, applications, processes, and AI. With Boomi, businesses can eliminate silos, automate workflows, strengthen governance, and create the foundation AI needs to perform at scale.

17:57The result, faster innovation, more efficiency, better business outcomes. Boomi turns a world of AI pain into a world of AI gain. As Boomi says, we got you. Head to Boomi.com to learn more. That's B-O-O-M-I dot com. A classic sign that something is going to be a big deal, in my opinion, is when, like, Bloomberg starts listing it. So, for example, like, years ago, I don't know, I think it was, like, 2012 or 2013 was the first time that on the terminal you could look up the Bitcoin price.

18:29And it's like, oh, it's probably a sign. It's like, maybe something is going to happen here. Recently, there is now a hype page, and you can look at 24-7 things. Like, they trade Brent there, and they trade WTI, and they trade S&P 500, and Circle, and SanDisk, and Micron, and a bunch of other stuff. And, of course— Yeah, this got a lot of engagement, I saw. Yeah, yeah. It was super cool. No, it's a big deal. Kudos to you all for integrating the technology. Yeah, there you go.

Deploying Markets on Hyperliquid

18:54Okay, now here's a key thing. So, I'm looking at, let's say, NVIDIA, an NVIDIA perp that trades on Hyperliquid. And I believe it is issued by an entity called TradeXYZ. So, let's bring in, who is TradeXYZ? And how do they get in a position where they can issue an NVIDIA perp? Like, walk through, like, how this emerged on Hyperliquid. Yeah, so we use the word deploy, because I think issue has many connotations. This is a technical process by which anyone can use the network in different ways.

19:28You know, on the Bitcoin network, the same kind of foundational idea of a globally consistent state, distributed set of participants. But on Bitcoin, you can move Bitcoin around. That's all you can do. On Hyperliquid, it's a lot more complex as a system that ultimately can power the financial system needs to be. And so, one of these functionalities is that deployers can come. They stake some amount of the native token. How many hype do they have to buy to become a staker? Or how many do they have to accumulate?

19:59Yeah, they have to stake $500,000 currently. Hype. Not $500,000 worth of hype, but $500,000 hype coins. Okay, keep going. And the stake is basically a way for them to unlock these deployment functionalities that are implemented on the blockchain itself. And they can effectively define an oracle, more of an oracle system, I suppose. It is a mechanism by which a perpetual contract tracks the one number that is exogenous to

20:31the system, which is the index price. That's kind of the beauty of a perpetual, right? It's so powerful, so expressive. And yet, it really is kind of ultimately boils down to one number. And this is really important, right? Because a physical settled future, the future ends, and you get the oil at the end. A cash settled future, there's some entity, and it's like, okay, the future expires. With a perp, it never really ends. But there needs to be a price oracle that it's always going to be, I guess, tethered. Why is it called an oracle as opposed to just the underlying price?

21:04Well, oracle here has a specific... The meaning of the word oracle in a blockchain context is something that is published by a single or multiple publishers that track something that is off-chain. So it is not knowable from purely on-chain characteristics. This will change in the future because I think as spot markets move onto hyperliquid, you can imagine a system where the oracle is actually no longer published, but rather derived from on-chain properties. Okay, just to finish the question about how the Hynix or the NVIDIA perp got there.

21:39So, okay, TradeX, YZ, they're a deployer. They accumulate the hype so that they're allowed to deploy. How do they get the right or the ability to actually, okay, issue the NVIDIA perp or the Hynix perp? It's a simple matter of sending a transaction to do the deployment. And the thing here is they're inheriting the technology of the order book, the clearing, in the sort of like the existence of USCC itself in a way that's kind of well-connected

22:11to the sort of entire circle infrastructure is another example of something that a deployer inherits. And they simply send the transaction designating the specifications of the contract. And they, as deployers, push this, they or their system. In TradeX, YZ's case, I believe there is a system of publishers of the oracle price. And then the magic of it is that it is truly a distinct set of responsibilities between the protocol and the deployer.

22:41But together, they kind of form this incredibly compelling ultimate product for the end user. And this is kind of this like idea of modularity that I think is unique to on-chain financial systems. Where does the liquidity come from? Because this is a classic issue for new exchanges and new markets. How do you actually make sure that there's enough money floating around to take the other side of a trade? The liquidity is just, it's a free market. So it's an order book. Of course, whoever places an order must have the collateral necessary to back the order.

23:14But other than that, it is not really the protocol simply mechanism by which buyers and sellers come together. It feels to me like to some extent, the deployers like a TradeX, YZ, but there are others. We keep mentioning them. There's others, the TradeParagon. There's some others I don't know all the names of. They're a little bit like an ETF issuer, right? Like in a traditional stock market, like they're a little bit like they're responsible. ETF deployer. Yeah. But like, OK, like I'm good. Because some companies have like, you know, single stock ETFs, et cetera.

23:48They are responsible for this instrument maintaining a price to some underlying thing. In the case of ETF, there's usually a basket of conversion, et cetera. But like, the thing I'm still trying to understand is like, can 10 people issue an NVIDIA perp? Like, how do they get this particular slot in the thing as opposed to someone else? Yeah. So anyone can do it. So there's no protocol level semantics about what the perpetual is.

24:20The protocol, you can view it as a kind of basket of tools. And like a deployer can come and use it as they see fit. And but I guess the second part of your question is like, well, what is kind of the mechanism by which this kind of scarce resource might be limited? Yeah, that's it. How did it emerge?

Dutch Auctions for Scarce Slots

24:36Yeah. So that is governed by an on-chain mechanism. It's a Dutch auction. Yeah. Explain that. I guess in short, it's basically it's a way to kind of allocate the scarce resource of deployment slots. This is scarce because on-chain, each order book, each kind of clearing system for a specific market takes computational resources of the network. So as the network scales, I think these resources become less scarce. But ultimately, they will always be a limiting factor of anyone that wants to deploy on the system.

25:11And the Dutch auction is a way whereby in every 31-hour interval, currently 31 is simply chosen so that the time at which the auction resets changes time zones. It's relatively primed to the number 24. That's nice. But, you know, approximately once a day, there's an opportunity for any deployer to deploy something. And the auction, the Dutch auction is nice because normal auctions have a few undesirable properties. The incentives are a bit odd. So you're kind of incentivized to penny the other bidders.

25:45You're incentivized to withhold information and then spam it at the very end. It has all these kind of like interesting, I would say, suboptimal game theory properties. Dutch auctions are nice, especially in on-chain systems, because they go in reverse. So the price starts at a value and it decreases linearly. And then it is kind of spam resistant because the first person who bids gets it. The price decreases, in this case, linearly, but I suppose it doesn't have to be linear. And it resets to twice the last clearing price.

26:15So there's a kind of natural, there's a natural correction mechanism by which it approaches the fair market value of the scarce resource. Do you get excited to see who wins those auctions? And do you have any idea of like, oh, well, they plan to do this or issue or deploy whatever with if they win this auction? Or do you have an idea of like this particular deployer has come up with interesting ideas before? I don't know. So it is a permissionless system. I actually don't personally track the auctions. I know there are tools that people have built where you can see they're pretty cool stats.

26:49This is another nice thing about on-chain systems that the data is transparent and verifiable and auditable. So anyone can build these really cool analytical tools about, oh, like these deployers, like you said, like tend to bid in these ways and they tend to use their, use the tool in the specific way. But I personally am honestly just too busy to really look into this stuff in depth. But I do think it is very cool broadly to see what is being done, which is taking these markets that are traditionally sort of confined in various ways and extending them, making them more broadly accessible, whether that's temporally 24-7, whether that's sort of just giving retail or just everyone around the world a more equal access to the same financial opportunities.

27:36I'm a really big believer in that. And I think many people, whether they're building on-chain or even in traditional settings, I think many people work in finance sort of towards the same end goal. We're really just taking different routes, but kind of all trying to make incremental progress. Ultimately, the thinking is that the financial system is there to better serve as many people on this planet as possible. And that is, I think that is, you know, many layers removed, but this sort of permissionless deployment system ultimately is accomplishing that goal.

28:06Like one example here is the IPOs, especially this year, if you look at them, they're a really great example of how wealth is being created and tremendous amounts of wealth are being created. But it's being created in a way where it's gatekept. I don't think this is done intentionally. I think it's just a byproduct of how the markets work right now. But if you have trillion dollar, two trillion, three trillion dollar companies IPO-ing, you can pretty confidently say that most of the wealth creation has happened at that point. And so I think it is a failing or a sort of limitation of the existing system if up until that point, very few people have been able to trade these opportunities.

28:44But I guess one question that I always have with this type of stuff is, OK, if you're buying shares in Anthropic or whatever, when they IPO, you're getting a claim on the company's dividend, right? Like there's going to be some, assuming they have a dividend. There's going to be some free cash flow. Right. There we go. The net present value of all future cash flow. Whereas if I'm an unaccredited investor purchasing something that's tracking Anthropic shares on a platform such as Hyperliquid, I'm not getting that cash flow.

29:18But you're not getting the cash flow if you're trading futures on something as well, right? So I'm not saying that it's a strict improvement over the system. And I'm not saying that everyone, it doesn't actually make sense for everyone to trade these things. It's more that there are a non-zero number. There's like, I think an order of magnitude more people who benefit, who could benefit from something. And of course, there's a parallel track of work, which is like we should all be kind of working hard to educate as many people as possible so that, you know, the kind of like financial opportunity is just that.

29:50It's an opportunity. I think that, you know, whether it fits someone's specific risk profile, I think, is more of a question of education. But I think if the opportunity itself is completely gated off, then that's a non-starter. There's no way and no amount of education is going to get you out of that. So I think you kind of need both. And I think right now it's just it is there is just so much work to be done. But I think the first step is taking the system itself and making it fair and democratized. You know, we've been talking a lot about just sort of like market structure of Hyperliquid.

Background and Vision

30:19And I do I would like to get back to that, et cetera. But like maybe people would be interested in a little bit about you and your background. You used to be at a Hudson River trading. He started Hyperliquid a few years ago, kind of after like the insane 2021 year that crypto had, et cetera. What were you you're looking out into the world? And it must have been kind of a people might have thought it was a contrarian bet, like crypto. That was just a bunch of like meme coins and stuff that was over.

30:49That was 2021. We moved on to A.I. Why don't you talk to us a little bit about like this choice? Also, you didn't raise any VC money. Talk to us about this choice to like pivot your career and take this big shot at building something new. And what did you see out in the financial system such that you thought there was this big missing piece that was lacking? To your first point, Hudson River Trading, I worked there right out of college. Had an amazing experience and only positive things to say about about them. They're obviously a wildly successful company.

31:21But when I was there, I felt like you didn't you didn't feel that day to day. Like I felt a lot like a startup, like a tech startup. And I think I think they worked hard to kind of have that culture. And so, you know, learned a lot about markets, met great people. The idea with building an on chain in 2023, the vision was a bit more laser focused and narrow. It was to build something on chain that people actually need. And when we look like that, when we looked around and, you know, just looked at what people were doing in the world and like where could on chain technology really improve things.

31:52Because, you know, we didn't we actually didn't see it as, oh, like crypto is only about meme coins, whatever, right? Like there are these exchanges that were offering perpetual futures in a centralized context. And they were very clearly offering something that users benefit benefited from and wanted. And there was amazing product market fit. And I think now you see this in traditional context where I think perps have kind of like crossed that threshold of acceptance, which is which is really, really cool. But even 2023, there were many venues in crypto offering these, but they were all doing it in a centralized manner.

32:26And so it was very clear to us, at least, that there was an opportunity to bridge the gap between the user experience and product experience on the one hand of a centralized perpetual venue and the on chain technology and the properties such as self custodianship of your own capital, which is very important. And I think the kind of counterparty risk of using exchange is always going to be there, whether it's in a crypto or non crypto context.

32:59And so if you could have your cake and eat it with those two properties, the idea was that this would be something that would be a step function improvement over what people had access to at that point.

33:22Some people treat ChatGPT like some kind of smart search engine, and some use it to get work done. ChatGPT Work is a new way of working in ChatGPT that can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work. It's designed to help you move from a chaotic starting point to a reviewable first version. So all the source materials, briefs, and scattered information that you have to grind through to turn into something useful can just become something useful.

33:56Put ChatGPT to work on your most ambitious ideas and projects. Get started at ChatGPT.com by selecting work mode, available on plus and pro plans. Running a small business takes everything you've got, but with Chase for Business, you're not alone. They bring together local support and a broad range of resources to more than 7 million customers. With a deep understanding of your day-to-day needs, they provide products and guidance built to help you thrive. Right now, earn $500 when you open a new Chase Business Complete Checking account for new business checking customers with qualifying activities.

34:31Offer expires January 21st, 2027. Chase Business Complete Checking has the flexible tools you need to accept payments, make deposits, and manage your finances with confidence. Learn more at Chase.com slash podcast biz offer. Chase, make more of what's yours. Fees may apply to Chase Business Complete Checking accounts. The $500 offer is available for new business checking accounts with qualifying activities through 1-21-2027. Eligibility and qualification requirements must be met. Additional restrictions may apply.

35:01Please speak with a business banker for more information. JPMorgan Chase Bank, N.A., member FDIC. For big business, AI opened up a world of promise, but that world of promise turned into a world of pain. Cost spiraling, data scattered across disconnected systems, security and governance increasingly complex, AI initiatives struggling to scale, and ROI that remains frustratingly out of reach. The challenge isn't AI itself, it's having the infrastructure AI needs to succeed, which is right where Boomi says we got you.

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Scaling Infrastructure and Data

37:10How serious are you when you say you want to house all of finance? And what are you looking at next, you know, other than perps? Can we go old school and have physically settled, like, commodities futures or something? Is that possible for you? I think we're very serious about the idea. Of course, it is aspirational. Like, I think even 90% of all of finance would be a huge success. And we're a long ways away. I think physical settlement is, well, one is it's always going to have a very important place in society.

37:41I think this is kind of like a misconception about perps and honestly, just about our general vision. Like, we're not trying to displace anything. In fact, I think the technology can benefit everyone who currently operates markets in a kind of a more traditional setting. And whether these markets are perpetual markets or settled dated futures is irrelevant. Because ultimately, what you really need is an order book, a clearing system, and, you know, global distribution, concentration of liquidity.

38:17All these properties kind of doesn't really matter what the underlying is. And I personally am not very opinionated about, you know, what ought to exist. I think the system to house all of finance should be a collection of tools. We call these things primitives because I think they're kind of, it evokes a lot more kind of interesting, you know, how these things can compose with each other. But anyway, tools, effectively tools for people to do what they need to do. It's funny. There's no hyperliquid Wikipedia page. Really? I don't know. I looked because I was trying to see and it was, or maybe there was, and it was deleted.

38:52And one of the moderators said, typical crypto spam. Very doubtful this is a notable topic. And the page was deleted. But if you guys house 90% of finance one day. That sounds like my bio, which got deleted because I was a journalist of little notability. If this person. Gotta stay humble. I'm not going to call this person out by name, but this moderator is going to feel pretty dumb one day if you guys house 90% to 100% of finance. And he's like, very doubtful this is a notable topic. Anyway, we'll be revisiting this page in the future.

39:25So you decide to build it and you code it yourself. And this was when coding was so hard because now anyone can code. Can you talk a little bit about like what that was like, building an exchange at your computer and like how that all worked? How long that took? Well, we don't view it as building an exchange. It's really building kind of like a network. Yeah, so the important thing here was that we kind of looked around and tried to find something existing at that moment in time that could effectively, with an incremental improvement, house all of finance.

39:58And the conclusion, unfortunately, was that there were many technological gaps. And it's a bit like probably if you were building consumer tech, something like that in the early 2000s, maybe you realize you kind of go down this rabbit hole of like, oh, wait, no, we got to do it. Oh, we got to buy computers. Like, oh, maybe the Internet doesn't actually work that well. Like, maybe we should kind of work on some networking things. And this is where kind of the vision of, you know, like an AWS kind of analogy did come up. I really think that the thought process and realizations and ultimate generalization of the infrastructure probably has some parallels between these two stories, albeit, of course, Hyperliquid at a much earlier stage and a smaller scale.

40:42But that was effectively the realization, like, okay, I guess this thing is a lot bigger of a project to do it well. It's a very big project and maybe a bit of just blind optimism. Or I think the fact that it was hard was almost more inspiring to me. Like it felt made it seem more worth doing. And it felt more like, well, if if we don't at least give it a shot, like who will? Well, and so, yeah, it kind of involved digging down way deep into the consensus layer of like just how do these different nodes talk to each other, questioning all the assumptions about how networks were built at that time to kind of come up with a solution that ultimately can house all the finance.

41:22Because I think if you look around at even blockchains today, they're very admirable and they all have their own selling points. But I don't think any of them, other than Hyperliquid, you know, has this precise vision of a global financial system can actually just have one global state. You know, you mentioned computational resources as a constraint on not listings, deployments, earlier deployment auctions. What's been the evolution, I guess, of like your data needs?

41:56I'm really curious how big you guys are now. Are you running like 18 data centers that are all the size of three footballs or whatever cliche people like to use now? What's your token spend like now? And how much of a constraint is this really? Yeah, that's a good question. It's I think this is also a misconception about a few there. The first of all, like we actually don't run these things. The foundation runs some validators, but ultimately it's currently the set of validators is 30 something and the top 27 of them by stake at any moment in time operate the network.

42:32The specifications for running a node are actually very minimal, which I think is quite cool and counterintuitive. Like I remember a validator at some point, I think tweeted something and was like, wow, my mind is blown. I just realized that on this machine, it's like very this kind of humble, rudimentary machine that anyone can procure. There's no three year line or exclusive contract needed with NVIDIA or anything like that. Like anyone can procure one of these. It's basically consumer hardware. You can run the global financial system on it. Of course, you know, not there yet.

43:03But that is the vision of like, it doesn't matter how many things are built, the network should not be prohibitively expensive to operate. That being said, you can't run it on your cell phone. So there is like some sort of tradeoff here. I think a reasonable approach to take here is like it should not be, like you said, data centers the size of football stadiums to run this thing. Like right now you need 128 gigs of RAM. Like that's not, you know, that's not like the cheapest laptop you can buy anywhere, but also you can buy a laptop with that spec.

43:36So, yeah, that's kind of the sweet spot, I think. So you have this vision, maybe get to 100% or swallow all of finance, which is pretty cool. Very ambitious. Hyperliquid itself, like you don't do a lot of media, which is why we're thrilled to have you on. I believe you have a completely pseudonymous co-founder. There is not much known about your team in general. I think like people know more about the mascot than the team members. Yeah, I think people like don't know like if there's like a specific address or whatever that they can call.

44:09Do you envision eventually that changing? Like do you think there is going to be a demand for like, look, we're running a lot of the financial system through this platform. We sort of want to know the people who are running this or do you envision it where it's like kind of like this sort of supreme neutrality? Like we don't know who's running the Internet. We don't know who is running Bitcoin. Do you see or do you see it that way or eventually like you and your team truly can like fade out and it's just a protocol like TCP IP is?

44:42Well, the team, I actually view the team as much bigger than labs. So who runs the thing? Well, it's really it's really a collection, a constellation of different teams. So we mentioned per earlier, right? The Nasdaq traded ETF or digital asset treasury company. They're part of the team, right? They're the team going to investors and explaining what this technology is. Right. And they're, you know, Dave is very well known. And so I think this is kind of like a miscategorization of who runs the thing, because like you said, who deploys a market?

45:18It's the deployer. Well, the deployers, there are many of them and there will continue to be more. And I think, you know, Kraken announced earlier that you, for example, set the rules for each. So HIP3, you set the rules, you set the 31 hours, you set the thing about 500,000 hype tokens to be. You are a governing entity. Well, this is no different from the Ethereum blockchain where the developers have 90 percent of the world's finance either. Like what I'm saying is if you want to get like if the world is going to eventually have all finance beyond this chain, like, yeah, it is like the Ethereum blockchain.

45:51They've like gone sideways for several years. If the world is going to like be on this thing, do you think people are going to expect to want to be able to know more about the people governing this platform? I guess what I wanted to say there was that the Ethereum blockchain is, you know, it's a kind of collection of developers taking community feedback, but ultimately to, you know, it has to be kind of written by developers, right? Like, unfortunately, maybe you're right. Like maybe at some point software will no longer require developers to kind of oversee the conversion of thought and ideas, which is a very democratic process into code.

46:26Like maybe there will be no human intermediary of that process in the future, but for now there is. And so there's this kind of like role that developers play, but I would not say that the core ideas behind network are kind of owned by the developers. I would say it's kind of a it's a manifestation of what a system should be. It should be fair, should be transparent, and like it should have it should support these kinds of these tools. Maybe a slightly different way of asking this question is like, OK, so with HIP3, a builder can deploy a market.

Trust and Protocol Specifications

47:01And they set the Oracle for pricing and they set the leverage limits and settlement or whatever. And I trust the builder to do all of that. And it's all laid out very clearly and transparently. What exactly am I trusting Hyperliquid to do in that scenario? Like, what is the provision that Hyperliquid is doing for me? And what am I hope trusting you will do? Well, if the question is for Hyperliquid Labs, then I think the trust assumption is that it really isn't the output of the kind of like node software that exists, right?

47:40And so there would be an assumption that it works. It kind of like adheres to the specification. And I think this is kind of true of any blockchain, right? Like Ethereum has a specification. It has multiple client implementations. When you run a node, you pick an implementation and you run it. And I suppose you are trusting that that implementation or you can read it. But you're generally trusting this very complex, you know, I want to say like millions of lines of code ultimately adhere to the rules of the blockchain.

48:11But like you said, all of the kind of quote unquote running of markets is done by a combination of the deployer specifying the specifications of the contract and publishing this Oracle price, which is a tethered to some real world thing. And then the kind of technology itself is sort of a reflection of the deployer's intention. And when a user, I don't think there is like an inherent trust going the other way from the protocol to the deployer because really users who use the deployer's market trade, a deployer's markets, that's where the trust is, right?

48:50Like if you're trusting a contract to track the price of gold, then you are trusting implicitly that the deployer is pushing something that represents what they said it would.

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52:49Because planning for the future isn't only about knowing what's next. It's about making sure you're ready for what you can't predict. Let Cincinnati insurance make your bad day better. Find an independent agent at CINFIN.com. I don't know if this is like a great analogy or not. But, you know, like with the rise of ETFs and passive investing, there's all these questions about like, well, how far can that go? Don't we need some people to like trade the underlying thing, right? And I'm curious if like there's some sort of analogy with the concept of like oracles and how much like, you know, for example, several years ago, there was an incident with a Solana based thing called Mango Markets, where someone was accused of it was something.

53:35I forget the token, I forget the token, but the size of the perp trading relative to the underlying token, it got so extreme that it was very easy to manipulate the underlying price that transmitted through the Oracle. And then you make a lot of money because then the thing moves price.

Oracles and Volume Constraints

53:51Like, what are the constraints on how like volume of perps relative to the underlying trading? And does that create a constraint for hyperlink? There was also an incident, I think earlier this year, like there was a bad quote from Hynex and the Oracle price deviated very dramatically, causing some losses. But like talk about the Oracle constraint. Yeah, so I'll take those in reverse order. The Hynex thing, this is, you know, trade XYZ, I think published a very detailed postmortem. So I'm just quoting here, but that falls in the category of implementation issue.

54:26Like, you know, their system kind of worked as intended, but their system perhaps was not intuitive. And I think they indeed found it was not intuitive. I think there were refunds and ultimately they sorted it out. And I think these things happen, but this is kind of, this is not unique to hyperliquid nor trade XYZ nor even blockchains. This is just a software property that, you know, Apple ships operating systems with bugs and they patch it up. So the first question I think is interesting. I think a priori you might assume that the volume ratio needs, is kind of capped.

54:56Like maybe you would think, oh, if there's more volume and perps, then it doesn't work because the underlying trade is less. But I don't actually think that's true. I think you can, I think it's healthy. And if you look at, for example, you know, futures tracking the S&P 500 versus the underlying components or even ETFs, right? Like there is a big volume differential there. I think the important thing is that the underlying can, needs to have smart people, smart people with the ability to provide liquidity into price moves that do not reflect the underlying value of the thing.

55:28And so this is, this is where the market design, the mechanism is really important, but you can imagine in a world where it is just perfect information about the underlying companies and someone trades a bunch of the perps because, you know, there's a lot more volume going on there or the futures, right? For the S&P 500. And then the underlying is traded very thinly and then the price moves 1%. Well, the fact that it's traded thinly does not really matter. What matters is someone needs to be like, that 1% move is not correct. Whatever size you want, I'm here to trade against you.

56:00And I think there are very, like if you look at the S&P 500, I'm very confident that there are market makers who would happily trade at far less of a dislocation. And so you get this effect where the price discovery can happen on a derivative and the underlying can still be, you know, a reflection of some, you know, some real value in the world. Can deployers ever get rejected for having an oracle that, you know, you just think wouldn't work because the underlying isn't liquid enough or like it's too hard to trace a price or something like that?

56:30The protocol does not even understand what that means. There's kind of like no semantic encoding in the protocol. What the protocol does know about is, well, if the, for example, there's a constraint at the protocol level where between two oracle price updates, the relative difference between those two prices cannot be more than 1%. But this is like a hard enforced rule. And in fact, when you try to push an oracle price that's, say, 2% away, what happens is the protocol clamps it to be 1% away so that then you can push it again. It's actually relatively user friendly. But this, you know, this constraint you might think is important because given the sort of like set of leverage in the system, if you move it too quickly, then perhaps the system cannot mutate its state machine in an orderly way.

57:10But if you break it down into a composition of something that's more like a continuous price, then it's fine. So these kinds of like mathematical constraints, the protocol very much has a lot of intentional sort of design, mechanism design around. But whether it's like, well, like this thing doesn't make sense, I just don't think that question can be answered. It can't do subjective liquidity judgments. It's the same way that like if you have, if you're running a traditional exchange, futures exchange, and you have some vendor that provides the order book software, like that vendor surely does not, cannot know whether you are used, the order book represents something appropriate.

57:42They say, well, here's the thing, here's the technology. Like it allows people to place buy orders and sell orders. You can specify a price and a size and like this is how it works. So we mentioned at the beginning, Hyperliquid, not a household name yet, but it is getting there. And it did get some attention this spring after the war in Iran broke out because here is a venue that had 24-7 WTI and Brent futures trading out. So people are sickos and they want to know, or maybe they're not sickos, they really want, you know, unfortunately, the nature of war is it does, you know, it's like all the time.

58:14People want to see, okay, what's happening with the price of Brent at 1 a.m. on a Sunday morning, et cetera. Where's the price coming from? There's no Oracle, right, that's like transmitting. There's no actual live spot cash trading or anything. So talk to us about like what's happening at 1 a.m. on a Sunday such that there is a price of a WTI perk. Yeah, so this is up to the deployer, kind of like the previous question, the kind of semantics of what it means is a bit, it's kind of like up to the deployer to define. This is part of the specification of the contract, not in the protocol.

58:44But I do think an interesting thing to point out here is that the fact that Perpetuals by and large today have an Oracle source that is based on an underlying price 24-7 is interesting, but it's not necessary. You could actually have funding. So the mechanism of funding is basically is to kind of make the derivative trading no matter sort of like over time converge to whatever the underlying price is. You can get that effect with periods of free-floating derivative price and then periods of funding payments based on the discrepancy between the derivative and the underlying.

59:19Like if you work out the math for funding, you can relax that constraint and just I think it will converge slower if there are periods with less funding. But I think the mechanism itself still accomplishes the goal. Do you have any institutional traders on the platform now? I think many of the larger traders are institutions. It just requires significant sophistication to, for example, market make in any setting. So you're thinking, OK, look, you're here in the U.S. and so presume and you want to get a lot more finance.

59:50So presumably at some point that's going to happen. There are a lot of, quote, legacy institutions that may be interested in figuring out how their business can work on with Hyperliquid beyond just the sort of trading shops, which are probably active. Like, can you talk about like what is the sort of like the volume today? Who do you see in five years? Could you see the Van X of the world or the Round Hills or the State Streets becoming deployers, issuing stuff? Like when you think about where Hyperliquid could become, could you imagine some of these household names like slotting into some of the part of the ecosystem here?

1:00:29Yeah, I think I would push back on them being, quote, unquote, legacy. I think that's very much not the vision of Hyperliquid, at least not how we are sort of seeing an ideal future. You know, legacy implies that they will be disrupted, right, or displaced. And I think the vision here is that, you know, the institutions you mentioned have great relationships with a bunch of their users, right? Like the users want to use them. They trust the brand. Yeah. They provide a valuable service. I don't think any of that should change. But I think to your latter point, I think they should.

1:01:02It's in their interest to adopt new technology that improves their offering. There's a bit of like the analogy here with the cloud, you know, in AWS. Yeah. I think, I don't know if back then when AWS first came out and went around kind of telling people this is a great technology, like why don't you consider using the cloud? I don't know if the companies were like, wait, no, we built our own servers. Like, are you trying to like disrupt us? I think there could have been that pushback, right? But then now if you, you know, fast forward to today. But basically you could see the Van X and various, like eventually becoming deployed.

1:01:33But like that, I don't even think that's, I think it's remarkable and I think it's an important development, but I don't think it's a remarkable fact that that could happen. Okay. Right. This is a slightly weird question, but if you were to be regulated by the CFTC or the CME, could you see a world where the deployers are the ones who get regulated versus like the protocol? I can very much see that world. I think that's, that's an astute way to kind of frame it. And I think that's a, it's a good kind of understanding of how the, like we said, there are different like roles and kind of like in the, in the setup.

1:02:06And I think in the same way that internet technology, TCP, IP, for example, is a technology, it is used to kind of build financial stacks, but it is not regulated, right? The regulation sits at the, at the layer where there are controls and indeed the, the deployers are the ones that have these, exercise these controls. And so it's a very natural way for the protocol to play, continue playing its role as a, as a networking liquidity infrastructure layer. So just, you know, as Tracy mentioned, President Trump called out hyperliquid and said, come here.

1:02:40But what actually would have to happen so that an American could trade on hyperliquid in a good way without having to use a VPN? Like what needs to happen from a regulatory standpoint such that that actually could happen? Yeah. Well, again, you know, if you're using, if you're an American using a VPN, you're breaking in terms of the service. So I think that's, don't do that. That's yeah. I mean, it's, again, it's strictly, it's, it's not a, it's not a laughing matter. I think it's just like, you know, it's, it's, you're, you're breaking the rules. But, you know, for it to happen, there needs to be the CFTC in this case needs to, it's a, it's a good question, like what they need to do, right?

1:03:15Like the, in some sense, the core principles of the CFTC are agnostic of the underlying technology, right? That's why, that's why they're called core principles, not like technological rules or something. But on the other hand, I think there is a certain gap in kind of just understanding of like, what is this stuff? It's kind of like hot off the presses in some sense, right? And then the kind of regulators, obviously, I think are, to everyone's benefit, they're conservative. I think they kind of want to move quickly, they want to embrace innovation. But there's a very heavy responsibility with that, because there's an existing system that by and large works well, serves many people and has protections built in place.

1:03:51So I think there's very naturally this gap of wanting to understand, like, is this technology truly compatible with our core principles? And I think that's the kind of gap, because ultimately, I think the technology has a lot of benefits. And I think many people are beginning to see this. I think deployers see this because they are day in, day out using the technology. I think regulators, you know, more conservative, slower to see it, but beginning to see it, that maybe if actually you can provably, anyone in the world can provably audit that the sum of user balances equals the amount of USCC sitting at this address.

1:04:24Like, that is actually a really good property, because even in traditional settings, there are a lot of regulations in place, but there's kind of a trust there, right? Like, if someone asks, you have to tell them, right? Like, okay, like, here's a bank, show them the bank account, show them the ledger of user balances. But like, that is a sort of process. Whereas if this is a property rather than a process, all of a sudden, I just think this kind of like aha moment is, it's quite beneficial. So it's not like, it's not like compliance or new tech. It's kind of, yeah, I hope you feel a little bit guilty about making everyone pay attention 24 seven.

Closing Thoughts on Market Structure

1:04:56Yeah, I think there should be an option. You can take it. Yeah, all these poor financial journalists working on weekends. I like being able to check quotes on the weekend. Jeff Yen, thank you so much for coming on the podcast. Many more questions and things to dive into. But that was a fascinating introduction. And please come back sometime. Thank you for having me.

1:05:21Tracy, that was a lot of fun. You know, I feel like we threw a lot at the listeners there, some of these terms. And I would recommend people who are listening to like do a little more research on what these things are, particularly how perps work. Like if you're in markets, if you care about futures, et cetera, I think it's very much worth knowing a little bit about the market structure of perps and how they fund, et cetera.

1:05:54Because regardless of what happens with hyperliquid specifically, et cetera, this quote, primitive unquote of perps has been growing for a long time. And I think it's very good a reason to believe like they're going to be with us for a long time as a popular trading instrument. It feels very inevitable, as does 24-7 trading at this point. Do you have a take on why so many of these crypto things end up inventing their own language to go along with it?

1:06:25So like Deployer? Deployer, Oracle. I don't totally know. Like I would imagine that like the idea of like a price Oracle is probably one of these things that maybe even existed in computer stuff prior to trading. I don't know. It would be interesting to know. But the structure of hyperliquid to me clearly feels distinct in many ways. One thing that we didn't get into, although we did. So for example, you know, OK, so Ethereum exists. There are different exchanges that exist on Ethereum, right?

1:06:59So Uniswap exists on Ethereum. One thing that's interesting and distinct about hyperliquid from Ethereum is that in the protocol itself, it sets the rules for the exchanges. So this idea that like, OK, there's this 31-hour interval via which a deployer can bid to list an item of their choosing. The fact that that's like baked into the HIP3 version of the protocol is very interesting and distinct. And the fact that the lab takes active governance in how these exchanges are run.

1:07:34I mean, look, you know, like we know, for example, that like on Solana or Ethereum, each probably has 10,000 dog coins, right? Those don't exist on hyperliquid because there is this auction process. So you don't you can't just like spam the network. It's like, oh, dog coins are hot. I'm going to list 100 dog coins. I think one other thing we didn't get into, but I think it's interesting. Let's say you and I assembled 500,000 hype tokens such that we could then be a deployer and bid into these auctions.

1:08:06Now there's already NVIDIA perps. There's already SK Hynix perps. For us to have a successful thing, part of our strategy is like, well, what's going to be the next big thing such that maybe like, you know, Central Asian ETFs, like the Kazakhstan index, we think it's going to be hot. So maybe our strategy is like, oh, let's build those. But there's probably this whole other metagame. And maybe at some point we should do an episode with one of the deployers. How you think about, look, what am I going to bid on such that my instrument becomes the thing that everyone wants to use?

1:08:37Lots of interesting questions. Oh, totally. Lots of game theory. Yeah, totally. Deploying those new markets. But should we leave it there for now? Sure, let's leave it there. This has been another episode of the All Thoughts podcast. I'm Tracy Allaway. You can follow me at Tracy Allaway. And I'm Jill Weisenthal. You can follow me at The Stalwart. Follow our producers, Carmen Rodriguez at Carmen Armin. Dash O'Bennett at Dashbot. Kale Brooks at Kale Brooks. And Kevin Lozano at Kevin Lloyd Lozano. And you can chat about all of these topics 24-7, including markets and crypto, in our Discord, discord.gg slash oddlots.

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1:09:42Thanks for joining.

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