Invest Like the Best with Patrick O'Shaughnessy - Ben Savage – All Things Fintech Investing - [Invest Like the Best, EP.152]

Episode Date: December 17, 2019

My guest today is Ben Savage, a partner at Clocktower ventures. Ben is focused on financial technology, fintech, investing which is the topic of our conversation. I’ve been making the fintech is ro...unds of late, and plan on making a few of these conversations public. Ben is the first in what may be a mini-series because of the sheer amount I learned in our discussion. We cover all aspects of the fintech ecosystem. I hope you enjoy. For more episodes go to InvestorFieldGuide.com/podcast. Sign up for the book club, where you’ll get a full investor curriculum and then 3-4 suggestions every month at InvestorFieldGuide.com/bookclub. Follow Patrick on Twitter at @patrick_oshag  Show Notes 1:15 (First Question) – The market portfolio and how technology will move us away from liquid markets 7:24 – Businesses that are making assets that weren’t investable, investable             9:11 – Ryan Caldbeck Podcast Episode 12:03 – Most interesting places where technology is creating investment opportunities 18:33 – Assets that are likely to tap into new sources of beta 23:46 – How well are investors prepared for the changes that are coming 28:35 – Trends in asset management with technology 33:05 – View on cryptocurrency and blockchain 36:45 – Places where startups can reduce costs/fees and create efficiencies 40:17 – Views on private equity markets and their future 45:40 – Privilege of access problem 48:50 – Verticals in fintech that are interesting to him 59:53 – The importance of focus and niche 1:02:26 – Kindest thing anyone has done for Ben   Learn More For more episodes go to InvestorFieldGuide.com/podcast.  Sign up for the book club, where you’ll get a full investor curriculum and then 3-4 suggestions every month at InvestorFieldGuide.com/bookclub Follow Patrick on twitter at @patrick_oshag

Transcript
Discussion (0)
Starting point is 00:00:03 Hello and welcome, everyone. I'm Patrick O'Shaughnessy, and this is Invest like the Best. This show is an open-ended exploration of markets, ideas, methods, stories, and of strategies that will help you better invest both your time and your money. You can learn more and stay up to date at investorfieldguide.com. Patrick O'Shaughnessy is the CEO of O'Shaughnessy Asset Management. All opinions expressed by Patrick and podcast guests are solely their own opinions and do not reflect the opinion of O'Shaunacy Ashton Ashton. This podcast is for informational purposes only and should not be relied upon as a basis for investment decisions. Clients of Oshonosia asset management may maintain positions and the securities discussed in this podcast. My guest today is Ben Savage, a partner at Clock Tower Technology Ventures. Ben is focused on financial technology or fintech investing, which is the topic of our conversation. I've been making the FinTech rounds of late and plan on making a few of these conversations public. Ben is the first in what might be a miniseries because of the sheer amount.
Starting point is 00:01:06 of information I learned in our discussion. We cover all aspects of the fintech ecosystem. I hope you enjoy. Ben, we were just having a conversation. We figured we just hit record here, which is about sort of the future state of what we think about, maybe thinking first from the perspective of an institution as the market portfolio. So maybe you could just recap what you just told me about how this might evolve and how that relates to maybe investment opportunities today in the financial technology stack. Sure. So I think an interesting way to think about markets and think about investing is always kind of push things in time to extremes. And so if you imagine the world 100 years ago, 200 years ago, what did markets look like then? And by contrast, what it looked like today?
Starting point is 00:01:55 What's different? It seems unlikely to me that there's something fundamental that's changed about human nature over those 200 years. And so while capital markets might have changed, it feels less likely that that change is deeply foundational and it's got more to do with just some curiosity of the rules essentially shifted. And you can do the same thing by imagining kind of 100 years forward or 200 years forward. And one of the telling departures, I think, over the past 100 years or so is the idea of public and private markets, which I don't think would have been a sensible distinction to somebody investing 100 years ago or 200 years ago or Isaac Newton kind of thing. It's really an artifact of.
Starting point is 00:02:33 a regulatory regime that got created following the Great Depression, which was such an outlier in human history, the degree of suffering that occurs in the Great Depression relative to what was at that point known by economists and regulators was so extraordinary that we said, wait a second, let's put some rules around how markets are going to work because essentially the Great Crash destroyed the U.S. economy. And it was this feedback loop from markets that had not really been seen in that kind of way before. So we created a regulatory architecture in the United States that stabilized capital markets, but also stabilize the economy through the creation of the Fed. And once you get sort of stable economic volatility from the Fed, which essentially says we're going to dampen
Starting point is 00:03:12 the economic volatility, and you get a statutory regime around markets, which dampens market volatility, you get the creation of what we think of today as public markets, which are really just liquid and exchange traded markets. And I think it's a useful reference frame to stop talking about public and private markets and talk about liquid or illiquid markets on one axis and then regulated and unregulated markets on the other. And so today we have liquid regulated markets as public markets. And it's a huge industry. And it's created a spectacular amount of wealth for a lot of people. And it's transformed the way Americans ultimately save and invest for themselves and their families over time. And it's done wonders for capital formation in the United States. There's no
Starting point is 00:03:54 sort of disagreeing with that. But if you imagine on sort of a different end of this you have venture capital, which is essentially a less liquid historically and less regulated historically market. And venture has also done a pretty good job of capital formation and driving innovation in this country. And I think broadly in the future, the world is going to move away from liquid regulated markets to what have historically been less liquid and less regulated markets. This will happen as a function of both regulations sort of getting weaker. I think we've probably hit peak regulation sometime around the election of President Trump. And technology driving more and more liquidity to unlock what were traditionally sort of less liquid
Starting point is 00:04:37 markets. It sort of moves the curve. So all the stuff that used to be less liquid, harder to invest in becomes slightly more liquid. At the same time, regulations kind of matter less and less. And so you get the opening up for investors, whether they're institutional investors or retail investors, of whole segments of risk. that were sort of invisible and illegible before
Starting point is 00:04:58 because they were stuck in this quadrant of this imaginary grid I'm drawing of illiquid and less regulated. And if you're a big institution or if you're an individual, you're going to look at the world, I think, in 20 years or 50 years and say, huh, most of what's actually interesting
Starting point is 00:05:14 to me in terms of generating alpha. And in fact, over time, I think where most of the, quote, market cap will live or most of the value will actually end up is in what today we would think of as private markets. And there are some pretty profound implications of that for you as an investor. And whether that means you're an individual trying to sort of save for your family and for your retirement, or you're a very large institutional fiduciary responsible for that task for a much
Starting point is 00:05:39 larger sort of quantum of people. And for us, as a venture investor in fintech, one of things that we're particularly excited about is trying to find businesses that are kickstarting that, that are finding asset classes that historically were sort of invisible and illegible and making them accessible for people to invest in, which has kind of been the trend we were talking about before for a really long time in public markets. The rise of indexing and passive investing is in some sense about taking asset classes, strategies, ways of making money that institutions had access to and democratizing them for individual investors first and then the institutions kind of catch back up to it. ETFs would be something very similar. Yeah, ETFs very much.
Starting point is 00:06:22 We were talking before about GLD. Gold, if you imagine trying to buy gold 25 years ago as an individual investor, it was a huge pain. You had to find some store that would sell you some physical gold. They would mark it up to some price that wasn't actually reflective of the current market at that point of time. They'd probably charge you a big fee in order to do it. And then, by the way, you're looking around a bunch of gold, which turns out to not be the most convenient thing in the world. Today, you can touch something on your screen, and boom, you own GLD as an ETF. And what the ETF does is it actually adds liquidity to the market for gold.
Starting point is 00:06:56 It also dramatically opens up the number of institutions and individuals who can actually go buy the thing. And it takes what was an asset that wasn't especially legible for retail investors. It was hard to deal with, hard to even see it, hard to see the benefit of it in your portfolio. And now millions of people own gold in their portfolios and are happy about that. And that's, by the way, been a really good trade for them in the past little bit. it's had real diversifying power and improved ultimately the quality of their portfolio. There's several avenues I want to explore, first of which is the kinds of businesses that are basically surfacing legibility. Maybe you could give a few examples that are more cutting edge or very
Starting point is 00:07:34 new just so people get a sense for kind of what that means in today's context. So what's an example of a business that's making legible an investable asset that five years ago was illegible? Yeah, so I think there's a pretty broad range of these things. So at one end, you have lending and prosper and the variety of businesses that we think of as sort of peer-to-peer lenders. They originally started that way. Now they're all essentially institutional platforms. Personal loans as a category, it's a very rapid growing area of our debt landscape. For the investors who are buying securitizations of these kinds of things, you couldn't
Starting point is 00:08:10 really do that pre-credit crisis. To the extent that the assets even existed, they were held on bank balance sheets. And today, there's pretty robust securitization market. and there's billions and billions of dollars of these loans that are being bought by institutions. Now, those aren't available that much anymore to sort of an individual investor. But this kind of function of taking a set of risks and securitizing them and making them accessible for investors has been happening for a long time. Like Michael Lewis sort of famously writes about it happening in the mortgage market in Liars Poker. And that's a great example of, hey, in the 80s, they took this massive market that was fundamentally not accessible to institutional capital and they made it visible through securitization.
Starting point is 00:08:47 You see the same function happening today. That's kind of standard fair Wall Street transformation of risk. But at the other end, you see things like we were talking before. Stock X is an example or Rally Road where you can trade sneakers and you can trade fractional interests and collectible cars. There are startups that allow you to trade receivables on fresh produce from farmers. And Circle Up, which I know came on your podcast and which we're an investor in, allows institutions and accredited individuals to buy into small.
Starting point is 00:09:17 cap kind of private companies in the consumer market that are taking a set of risk profiles that previously weren't really available for institutions or individuals to easily get to and now buy those kinds of things and trade those kinds of things and add liquidity to it over time. And even and virtually all of these things essentially require you to be an accredited investor in some way, shape, or form, which is an example of what I mean by a huge regulatory distortion that exists in markets, where the SEC said, at some point in prehistory, okay, we're going to define this group of people as accredited investors,
Starting point is 00:09:52 which is essentially a wealth test. It's not even a sophistication test. And they say, well, if you have money, it probably means you're sort of sophisticated enough to lose money, which is kind of on its face absurd. And by the way, the numbers haven't been updated. I mean, there's all kinds of problems with these sorts of tests. And so you have a distortion in the market. And those kinds of distortions will go away, whether through regulatory pressure or technology solutions, which are doing that in pretty real time. And it's these kinds of. kinds of categories that we think can grow. And I'm not saying any one of those specifically will look back 50 years and go, oh, wow, sneaker trading is this massive asset class. But it could be.
Starting point is 00:10:29 Certainly 15 years ago, nobody thought trading of cryptocurrencies was going to be a fairly big asset class. And I think if you actually pitched what the cryptocurrency world today looks like to virtually anyone in the investment industry 15 years ago, they would have thought you were insane. And yet today, there's a surprising amount of that happening. And it's happening. all over the world, which is the other piece of this that we sort of didn't talk about earlier, you could sell sneakers or collectible car interests to people not just in the United States in sort of wealthy places, but literally all over the world. And so value changes a great deal when you create a much more connected global market with more heterogeneous sort of risk functions
Starting point is 00:11:11 and preferences. And you see this in the art market, which is another example of the kinds of markets that are sort of unregulated, very weird liquidity. And yet there's actually a lot of market cap in art. It's much bigger than most people think. And the trends of what's been appealing in the art market have changed radically over the past 15 years as wealth moves in Asia. And so there are whole categories of art
Starting point is 00:11:38 that suddenly people are paying attention to as a collectible category that were not meaningfully collectible 15, 20, 30 years ago. And I think that's another good example of what happens when you sort of add liquidity to what have historically been illiquid asset classes. It kind of changes the collective preference function. And so it ultimately ends up changing value because that's all markets are. There's more buyers than sellers at the end of the day. Price goes up.
Starting point is 00:12:03 I love the idea that technology or examples of where technology creates kind of new markets or new places that you couldn't have conceived of before. Everyone always uses the Uber example. We wouldn't have anticipated this massive market for random people's driving time. And so what I'm interested in is where you see the most interesting things happening in that creation in the investment markets today. So I think one really big category that we're far from the only people thinking about is in real estate. And I alluded a little while ago to the sort of invention of mortgage securitizations in the 80s and the sheer size of that market. One of the things that's kind of funny about just taking the United States, single family owner occupied houses, it is a massive market. every house in the United States that is individually owned and non-investor owned.
Starting point is 00:12:47 And you go, well, what's the capital stack of a typical house? It's two classes of securities. It's a single tier of common equity. You own your equity in the house. And then a single tier of senior secured debt, which is your mortgage. And that's it for virtually every house. You have some exceptions in things like helox and second liens and stuff like that. But it's a really simple capital stack.
Starting point is 00:13:13 By contrast, if you looked at corporations and you said, what's the typical capital stack of a corporate? It is radically more complicated. There's layers and layers of debt. And there's layers of different equity securitizations. And they've got mezz pieces. And there's options. And there's this incredibly ornate, elaborate superstructure of ways to address and refine the risk profiles inside big corporations. And you'd go, okay, well, that makes sense.
Starting point is 00:13:41 Corporations have a lot of value. They're very valuable things. So if I have something that's worth $100 billion or $10 billion or even a billion dollars, I can kind of carve it up and it's efficient for me to carve it up into other slices of risk. But if I have a house and it's worth $300,000 or a million dollars or even a three or four million dollar house, is it really going to be efficient for me to take the time to kind of carve that risk stack up and create some MES security on Patrick's house that's a certain
Starting point is 00:14:09 amount of market cap. Who's really going to trade it? Well, it turns out if you have technology to do this, it actually suddenly becomes efficient. And if you imagine rolling up an awful lot of houses into pools of risk, then suddenly they become tradable. That's exactly what happened in the mortgage market. And so that pool of senior debt, in turn downstream, gets hypothesated enormously. But what we're just starting to see now through FinTech are companies that are changing the risk profiles at the sort of point of origination at the asset level, rather than at the bundled level. level. So we're investors, for instance, in a company called Landed, which what they fundamentally do is
Starting point is 00:14:47 they allow school teachers to buy houses, to buy their first home. The basic idea says you're a school teacher, you're actually a tremendous borrower from an underwriter's perspective if you want to give a mortgage because you're local to a community, you have a very stable job with very predictable income. We kind of know what you're going to do as a teacher. So you're a good buyer for a home. But a lot of times you haven't been able to save up enough for a down payment, especially in like a prime kind of real estate market. So let's say you're a school teacher in Palo Alto, house prices are expensive. What Landed does is they say, okay, we'll match your down payment. Simple math, you want to buy a million dollar house, you need 20% down. You put up 100K,
Starting point is 00:15:24 we'll put up 100K as landed. And then we'll help you find the mortgage and do all that, but it's a pretty plain vanilla mortgage. And bang, now you're a homeowner in that house. The difference is Landed doesn't get half the appreciation on your equity, even though that's what they posted when you ultimately sell the house. They get something less than half. And there's a little more refinement around this. But this conceptually is like a piece of mez debt sitting in that capital stack. So you've gone from a very plain vanilla thing of a senior secured debt instrument and a single
Starting point is 00:15:53 tier of common equity. You've kind of added this funky mez strip in the middle of it at the asset level. You didn't do this on a big pool. You did this at the single house level. And this becomes efficient over time. And Landed isn't the only one. that does this. There's three or four companies that are doing this. And there's a whole host of other ways that home buying is actually changing at the individual asset level, which only becomes possible
Starting point is 00:16:18 because technology both changes the way we can actually look at individual houses and value them. It changes the origination process to make it more efficient and faster than what if you walk into a bank and try to get a mortgage, it's like a 90-day process and incredibly clunky and inefficient and most banks actually lose money on the outright origination and they have to make it all up on the loan itself because they can't actually originate at a cost that makes sense and on and on. And you can imagine this kind of thing happening in lots and lots of asset classes where, by the way, if you take this kind of mez strip that landed and others are creating, and they would hate that I'm calling it a mes strip, but it's kind of what it looks like. And you roll all those up,
Starting point is 00:16:59 suddenly you have a very different risk profile than an institution can buy. imagine thousands and thousands of these individual asset level risk pools being created. And suddenly, what you've done is you've actually unlocked as an asset class, single family owner-occupied residential real estate, which, by the way, if you're a big institution today, you cannot buy. You can buy investor-owned single-family residential, but those properties have a slightly different risk profile because they're rental properties than ones where owners actually live in it.
Starting point is 00:17:30 And those markets will trade differently. A market that's heavily owned by investors will end up trading through cycles over time differently than a market where owners are living there. And that sort of makes some degree of intuitive sense. So again, this is something that's been around a really long time. And we have a lot of intuitions about how the housing market works. I mean, there's millions of Americans who think they're real estate geniuses because they happen to move into markets at the beginning of an interest rate super cycle and have made a ton of money in this. So we all have these kind of intuitions about how the real estate market works. Most of them are wrong, it turns out.
Starting point is 00:18:04 But one of the deeply wrong things is that, oh, yeah, it's just going to work this way where people are going to buy my house and it's going to be an individual. I mean, and the rise of eye buyers, the rise of investors buying these kinds of properties is a good example of, wait, are intuitions about how the housing market fundamentally works kind of wrong? And there's actually lots of other things that can happen in that market. This is happening not just in housing, though, but broadly across all of real estate. So I think that's a really good example of where you see technology changing
Starting point is 00:18:31 the way people will invest. I want to come back to this idea of alpha, which is kind of where we started our conversation before we recorded and how large professional, institutional, and other investors think about alpha versus beta, kind of what those concepts mean. I think part of this is identifying new beta and making it cheap and accessible and liquid. Other than housing, are there other major asset classes that you think jump out as obvious candidates for this sort of trend? The trend being accessing new betas. Correct. I think they're many. I'll talk about one that I find sort of a curious one. I frankly don't know that I have super refined thoughts on it, but I think it's just going to happen over the next generation. And so
Starting point is 00:19:11 it's worth talking about, which is income share agreements. So ISAs, as they're called, are a kind of fascinating financial instrument. And there have been experiments in this thing for a while now. The basic idea is it's typically applied to students. So you can imagine that I make a student loan to you in the conventional way where I lend you money and there are some terms around that, and then over time you pay it back or you default on it. In the U.S. anyway, we have turned the student loan industry into this kind of horrible thing that ends up not really working for anyone over the long run. And collectively, all of us are going to be on the hook for it because so much of our student loan industry has been essentially guaranteed
Starting point is 00:19:52 by the government, and it seems almost inexorable that that will not get repaid. And so as a policy matter, it just doesn't really work. One of the ways that people are thinking about trying to fix it is through an income share agreement, where now I sort of lend you the money, but it's not really a debt asset. It looks more like an equity type of investment, because the way you're going to repay me is through some percentage of your income over time. And what that means is that I might get back significantly more money than I lent you. I also might get back less. So I'm taking more risk in the process of giving you some money. But in aggregate, because on some borrowers, I'm going to make more than I ever lent through the income share.
Starting point is 00:20:31 it works out sort of better from a public policy perspective and from the whole. And so what happens when you shift from kind of a credit instrument to an equity instrument in capital markets, you are mechanically accessing a different beta. We talk about an equity risk premium that's different from something that you see in credit, even in something like corporate credit where you're taking a duration bet and a spread bet, you're actually transforming a little bit the nature of that risk profile. And so here, if you imagine that student loans, if they were priced accurately, which we know because of the government distortion, they're not, there was some kind of underlying
Starting point is 00:21:05 bet on aggregate sort of economic health that's kind of driving it. And then some idiosyncratic thing that's through spread kind of tied to you, which is not at all how these loans price, by the way. When you go to income share agreements, it's just much cleaner. The people who do it are actually underwriting you. They're underwriting where you went to school, what your major is, what you tell them you're going to try to do as a career, what grades you get. You can imagine a very extended data set of things. You get kind of higher resolution risk pricing. And that's a thing that I think technology does very, very well is it creates a much higher
Starting point is 00:21:38 granularity at which we can price a risk. And so in ISA's, at least in theory, you can see this where we're underwriting an individual person and we're doing it in a way that is hopefully much higher resolution than you would get even just applying for a personal loan. This exposes investors at scale to like different kind of beta than you've been able to get before because student loans are pretty large part of the capital ecosystem. You can buy student loan securitizations. You can buy student loan debt. But if you imagine that I can buy different kinds of income share agreements across different geographies, across different age groups,
Starting point is 00:22:11 across different majors, different career choices, I could get exposure to a beta that was the earnings of doctors in the United States. And what an interesting way to express a thesis about health care. So today, if I have some view of what's going to happen as an alpha view, with U.S. regulations around health care. There's a baskets of stocks I can buy. There might have be baskets of bonds I can do. There's probably some exotic political derivative I can buy from an investment bank if I'm sophisticated enough.
Starting point is 00:22:38 Maybe I just say, you know what, I think doctor earnings are going to go down. How would you ever play that? You couldn't. But if ICE has existed, you could at scale. And I think there will be lots and lots of those kinds of things that will be available to you. And so you get both kind of the beta of it, broadly speaking, just wages. Wages turns out to be a weird thing.
Starting point is 00:22:57 If you wanted to just say, I think wages in the United States are going to go up, how do you directly express that bet? Well, you're basically going to do it through some kind of inflation instrument and it's not perfectly linked to it. Again, if you're short labor-intensive businesses and go along tech businesses. You can imagine a million of these kinds of things. And that's actually a really good example. Let's say you wanted to bet on wage inflation in the San Francisco Bay Area long and short it in New York. You could never make that bet today. But if ICE existed, you could at Gail. And I think this will happen because almost every player in the student loan infrastructure doesn't like the way the system set up today. From the colleges to the government, the debt providers, the only people who actually like it are the servicers. And even they are starting to realize that the business is starting to sort of topple over under their own weight. So I really liked Daniel Eck of Spotify's conception of seeing around corners as a business leader that his job was sort of to anticipate the major state changes two, three years down the road and begin preparing for them now. So my next question is about professional investors. Let's say
Starting point is 00:24:02 it's kind of as a category, big institutions, but also wealth intermediaries, so big RIAs or wirehouses, financial advisors that are managing money on behalf of others. How would you grade them today in terms of preparing for a lot of the things that we've discussed thus far and beginning to do the work so that they can position their pool of investment assets in this sort of, we'll call it, next generation of investable things. Yeah, I love that phrasing. It's actually phrasing we talk about internally of seeing around corners. One of things we're cognizant of, though, is sometimes in venture, you can almost see around too many corners. And you get sort of too far forward because change can be very discontinuous. Some things just kind of keep happening. And 20 years on, the trend has been the
Starting point is 00:24:46 trend. I mean, e-commerce, it's sort of just this steady thing that's been happening for 20 years. Markets didn't price it continuously. Markets priced it very discontinuously. But the underlying has been very continuous. Then you see other sorts of changes where you're just never expecting it and you sort of wake up a year or two years later and there's been this enormous inflection. Social media probably looks more like that than something like e-commerce. So one of the things I would say is the investment industry isn't actually responsible, I would say, for seeing around two or three corners. Because unless you're actually running money on kind of a 30-year time scale, and there's very few people that even formally are charged with running money on a
Starting point is 00:25:24 30-year time scale. And then there's a subset of that that are actually succeeding at that mandate of running money. Probably name like all of them. Yeah. Right. Their businesses and their job in some sense is just not that kind of time scale. So if you're talking about a five-year return target, which is already that feels like a really long time for most people, I actually actually think most of these players are not doing a terrible job. I think they're doing okay. Because a lot of these changes that we've been talking about, I think really will obtain over a very, very long period of time. And so unless you're in the business of trying to capture alpha associated with those changes, which we are and other sort of venture investors are,
Starting point is 00:26:05 it's less relevant for you. But I think, let's say you're starting a career in the investment management industry. I think it's very relevant for you. Because if you're saying, hey, I want to be an investment professional for 50 years of my life or 30 years in my life, suddenly this stuff does matter. And there's not a lot of people today who sort of are really excited to start a career as a discretionary FX trader on Wall Street. Those jobs are vanishing. That was a great path to making a lot of money if you started doing that in the 80s and 90s. Today, all those people are being fired from their jobs. If you're a discretionary bond trader, no one is hiring you. No one's hiring you out of college to do that job. No one's hiring you if you're 10 years, 20 years, 30 years into a career.
Starting point is 00:26:49 And so if you're a young person thinking about starting a career or even if you're 10 years into your career, I think these things start to become relevant. But if you're an RIA and your job is managing a bunch of money for those doctors whose wages may decline over the next generation, I think they largely do a decent job. And I think the technology industry has delivered a lot of new solutions for them to access lots of asset classes. I think the challenge in those jobs has actually gone up because there's been such a proliferation of information and of opportunities downstream to people that the complexity as an investor in those jobs has actually gone up a great deal. At the bottom of it, what do most people actually want? Most people don't really want to
Starting point is 00:27:27 beat markets. They just want to make sure that their neighbors not beating them at the end of the day. I mean, that's really what drives most, I think, of retail investments. And that somebody's going to show up a cocktail party and their neighbor's going to talk to them about this super hot stock they're in or this angel investment they're in or maybe it was buying gold when that was a nuvo thing to do. And maybe it will be buying income share agreements at some point. And that'll be the cocktail party chatter. And then you'll see it sort of become a thing. And RAs will get hit with wait, why aren't I in an ISA fund? And half the IRAs are like, well, it's an ISA fund. And then to have big funny, you should mention it. I have one on the shelf through this platform and
Starting point is 00:28:03 so on so forth. But I think for most people, They're getting something decent. They're just overpaying for it from RAs. And technology will drive all those costs down. And I think that's really the challenge for most of the investment industry is that the sort of fee extraction is really too high for what most people are getting, which is largely a commoditized kind of service. And technology will drive that down. But for some people, they're happy to pay the fee because it's functionally like therapy. I mean, so I think they're doing an okay job, but there's room for improvement.
Starting point is 00:28:35 What do you think will happen? What are interesting trends to you specifically in the asset management business? We're going to come back to some of the other fintech verticals. But because that's my world, I'm always curious how investors like you think about the landscape, specifically through the technology lens in asset management specifically. Yeah. So I think on the one hand, things are moving very, very quickly and on the other, it's unclear whether it seems to matter. The big thing I would say is the convergence of traditionally discretionary investment strategies with more systematic and quantitative approaches has happened much, much faster than I would have predicted five years ago. Some of that's just been a
Starting point is 00:29:12 function of younger people taking on jobs and anybody who graduates from college today can code effectively. They're getting jobs on Wall Street. And that is just a cultural shift in what is expected in any of these jobs across the board relative to the people who've inhabited those jobs for a longer period of time. I sort of think back on myself, I graduated college as a philosophy in political science, double major, didn't know how to code, not especially quantitative. I don't think I could get a job at an investment bank today, although maybe because those jobs are a lot less desirable today that they were 20 years ago. But the skills are just quite different. And so that kind of combined with the fact that most active managers have not done extraordinarily well
Starting point is 00:29:53 over the past decade, I think has driven a search for, well, what are we missing? And it seems to like most folks go, oh, it must be the data. It must be the quants. That's what we're missing. Let's add some quants. Let's add some data. Maybe that'll work. Maybe it won't. But that seems to be a very real trend in the front office. What are the tools I can deploy to help surface things that are harder for humans to see? Because that's kind of the big difference between discretionary and quantitative and systematic approaches is that humans, I think, are always, well, always a long time, but for the moment are clearly better at the big thing that's happening in markets. The big big trend break, the big themes that are going on. But a system can do things that humans can. It can
Starting point is 00:30:35 identify lots of small things at scale over and over and over again reliably. And the success of quantitative and systematic managers over the past decade or two has really driven a mindset change, I think, in the way people who think about investing philosophically are approaching kind of the next generation of businesses. And you see it in really every asset class. I mean, even in venture capital, there are firms that are trying to be much more technologically forward and sophisticated and they're attracting assets. It's a good story in addition to probably working. So I think that's kind of the biggest change in the front office. I would say in the middle and back office in asset management, one of the things that's happened partially as a result of
Starting point is 00:31:16 blockchains being a meme over the past five years is that there's a renewed focus on, wait a second, there seems like a really inefficient and high cost stack here to just execute and subtle transactions, maybe we can drive a lot of cost out of that stuff and sort of free up capital for better productive uses within the investment management business, kind of get back to this kind of war for Alpha in the front office that it seems like has largely not gone very well for most folks over the past few years. And so you're seeing a tremendous amount of investment there technologically. And again, this kind of continued lift out of talent. The financial services industry, it's a big chunk of GDP, it's between 15 and 20 percent of
Starting point is 00:31:57 GDP. Part of that is because it's a really lucrative, high-paid sort of sector historically. And it's hard to know exactly why it was such a high-paid piece of the system. But it seems like you're going to see just tremendous wage pressure in the financial services business. Downward pressure. Downward pressure. Yeah. Tremendous downward pressure across the board because technology kind of commoditizes a lot of these functions. And you get the elimination of a lot of jobs. And then you get a small number of, a much smaller number of humans required to kind of keep the machine running. Those people end up making a lot of money. And they essentially, in some sense, will capture the wage that all the other people sort of had to lose. But it ends up being
Starting point is 00:32:39 the technology where I think most of that value goes over time more so than a lot of people kind of pushing paper. And that's fundamentally what financial services has been is a lot of paper pushing. And that's just one of the big things happening in the venture world is that identify any human paper-based process, that's going to go away through software. It doesn't even have to be fancy AI machine learning stuff. It's just pure workflow software will kill those kinds of jobs and kill those kinds of processes over time. You mentioned it. So I have to ask your opinion, what is your take on the current utility and sort of state of the cryptocurrency in blockchain world and markets? Yeah. You know, I mean, I would say we have been wrong about
Starting point is 00:33:19 this stuff from inception. Okay. So I'm always, I'm a little hesitant to give a strong opinion. Give a high conviction view. What I would say is I've yet to hear, and so I'm going to circle back to your question, which was about cryptocurrency. I don't make a meaningful distinction between there's some people are like, well, it's not about cryptocurrency. It's about the blockchain. I think that's kind of a silly distinction. Trading tradable instruments on a blockchain is a specific use case for a blockchain. I think it turns out to actually be the best use case of a blockchain is some kind of tradable store of value. And I say that because we have not heard a single pitch in our history. And in fairness, we don't focus that hard on this stuff. We've not heard
Starting point is 00:34:00 a single pitch where I kind of heard it. And somebody said, we're going to do X, Y, and Z, and we're going to do it on a blockchain. And I've said, well, if you didn't do it on a blockchain and you just did it in a SQL server, is it really that different? What's actually better because you're doing this on a blockchain? And that question seems to throw blockchain people sometimes. But I find it helpful if you substitute the word blockchain anytime you hear it for alternative database technology, which is sort of a cheat. Is there magic in it when you stop saying the word blockchain and suddenly you say alternative database technology? And it turns out, I don't think there really is. Because what you get with blockchains, the foundational idea is
Starting point is 00:34:34 this idea of a trustless. Permissionless. Permissionless is maybe a better, there isn't a central authority that's going to be responsible. Can tell you what you can write to that database. That's right. That's right. That turns out, though, to be a kind of a funny idea. I think of it in terms of markets. And you sort of go, well, what do you want from markets? Do you want a centrally cleared market or not? And the interesting thing is, centrally cleared markets are, there's more liquidity. They're in some sense more efficient. And they're safer places to trade. You pay for that. There is a cost for that. But there are a lot of advantages of centrally cleared markets. And notwithstanding the point I was making earlier about
Starting point is 00:35:11 public markets versus private markets, there is a value in centrally cleared markets. gets, whether it's a card swipe on a Visa or MasterCard network or it's a futures trade, there's value in this. And so when you put things on a blockchain and it's a true trustless, permissionless blockchain, it's not, oh yeah, it's a blockchain, but there's actually five nodes and they're controlled by big companies, which is just a distributed database and not what the real sort of crypto people talk about. It's hard for me to see that many good use cases outside of actually, okay, maybe we want to have some store value that can be traded in that way. And Bitcoin's actually not terrible for that. And I think there's a reason that
Starting point is 00:35:52 Bitcoin has the market cap in crypto, because that seems like a reasonable thing, that there exists some digital gold that's outside the sort of fiat currency system, that's outside the banking system that is really hard to get access to, short of me having a gun to your head and forcing you to tell me your keys, which is a whole other set of problems. This thing's been around a while now. Most of the time with technologies that are actually going to be foundational, 10 years in or whatever we are, you would start to see some use cases. And there are some. The banks are doing things on blockchains.
Starting point is 00:36:24 Again, I think their versions of blockchains don't look like the kinds of blockchains that were envisioned in the beginning of truly permissionless, trustless setups. They're still very, very gated. And that might work. But that's just a distributed database with a handful of key masters,
Starting point is 00:36:41 as opposed to the idea of a truly permissionless. You mentioned earlier this idea of Robin Hood and maybe their brilliance was to take a very well-established trend, which is securely declining commissions on trades, and just sort of jumpstart at two or three steps down the road to its natural conclusion, which was zero. Talk a bit about that idea as a business model for startups and whether or not there are other trends that are sort of inexorable
Starting point is 00:37:05 that you think young companies could take advantage of in the similar way. Yeah. I think it is a powerful way for a startup to address a market, is say, take a big existing market and find a trend that's already happening or has been happening for a long period of time and just push it in your mind to the logical conclusion and then just make that your business model. Just go right to sort of zero commissions, totally free trading. I don't know exactly. I mean, if I had a long list of these, I probably should go build one of those instead of doing what I'm doing. But I think within financial services, there are lots of these
Starting point is 00:37:38 kinds of trends that you can think about. And one of the ones that's already happened is just actually very similar thing to Robin Hood. It's in banking where the fees on banking services have largely come way down. And so you see a whole bunch of challenger banks that have said, no, no, it's zero fee banking. And we'll make money in some other way on the payment scheme. And so you've already seen that happen. And certainly Betterment and Wealthfront and robo advisors like them are examples of this too of saying, wait, passive indexing is going to be a thing. It's already been a thing for 30 years. Let me just jump to the end and say, I'll build those portfolios for you for a very low price. I think in insurance, there are probably lots of
Starting point is 00:38:16 these kinds of threads that have been working their way through the system, which is more and more refinement of risk pools, I think, is a good example of it. So Geico has been this sort of incredibly successful company because they have both a much lower cost of manufacturing premium and sort of they're just a more efficient operating entity, but they also select a very specific risk pool to be a Geico driver. They're just sort of picking the good drivers off out of risk pool. I think technology is allowing us to put more and more precisely underwrite and define risk pools in sort of tighter and tighter bans. And so I think you will start to see that happen more broadly in a set of insurance risks as an example of that. I think the other thing in insurance
Starting point is 00:38:59 is distribution costs where, and you've already seen this, by the way, that everyone kind of looks at insurance and says, wait, why am I going to buy, I mean, young people are very confused about this idea of walking into a state farm branch to buy insurance from an agent. And on the commercial side, people who run small businesses are really confused when a broker shows up and kind of wants to take them out for a steak dinner to sell them a small business policy. And so you've seen tons of startups get for them that say, well, no one's ever going to buy it. These people are just never going to buy it from brokers. Let's try to distribute it totally online and give them that kind of direct-to-consumer Amazon-like experience. And that kind of stuff of distribution.
Starting point is 00:39:40 is a pretty good natural endpoint. I think financial services, though, are little bit resistant to some of these trends because you just think about the word, financial services. To the extent you're interested in it, you're paying for some kind of service at the end of the day.
Starting point is 00:39:55 And while the commissions may go to zero through Robin Hood and Schwab and whatever else, I think Schwab can look at it and say, all right, we can take commissions to zero. We're still going to make money on a different set of people who are going to pay us something for the advice. The advice isn't free.
Starting point is 00:40:10 that's harder to make free. So there are these kinds of trends, but I think it's just a fruitful path for entrepreneurs to go down. One of the trends that certainly adjacent or even caused by indexing is the fee reduction on the asset management side. One place where that really hasn't penetrated is in the private market. So VC and it certainly has happened to hedge funds. Hedge funds average fees have come down. But as far as I know, private equity firms, even very, very large ones that have scale that could kind of pull a vanguard and pass some of that scale onto their customers in the form of lower management fees, let's say, but certainly not in VC. The kind of two and 20 model has been incredibly sticky, and it's worked because- More than two-and-twenty.
Starting point is 00:40:47 Venture is like a two-and-a-half and beyond asset class at this point. Right. And so that's worked because the underlying returns have been phenomenal. So you're taking a piece of a pretty large pie. What's your view on kind of the future of we opened the conversation by talking about how much more important non-public markets are going to be? these are still very high fee, hard to access places with very non-normally distributed returns. A lot of the best returns come from a couple firms. So talk about those kind of two ideas and how you think about that. Yeah.
Starting point is 00:41:16 So I think all that's true. And I think that will make fee compression in private markets a little slower. So public market's obviously tremendous fee compression. And we are involved in the hedge fund world as well as private markets world. Substantial fee compression, that's not going away. I do think you're starting to see a clearer bifurcation, though. in liquid markets where the premium alphas actually are going up in price, interestingly, because there's a scarcity value to it, they're durable, and so there's just more demand than supply,
Starting point is 00:41:44 so people can charge kind of whatever they want for it. You might see the same thing happen on the private side, but I think the discontinuity and the distribution of returns that you articulate is actually in some ways more extreme in private markets at the moment. And so it's harder to identify what that durable source of alpha is going to be. And kind of the dirty secret about the venture industry in particular is that there's almost no institution that's reliable. I mean, there's one in Sequoia, but very, very few, less than 10 for sure, institutions that have durably reliably delivered extraordinary results in venture over time. It could just be that something about the asset class. It could just be people check out
Starting point is 00:42:23 and retire. Who knows why that is. So it's hard to identify which firms could command real premium prices. But I think the flow of capital into private assets and in particular private alternative managers will prevent that fee compression. One of the things that drives fee compression is, well, money is walking out the door, let me lower prices to kind of attract it. It's all supply and demand at the end of the end of there. There's a market for that just like anything else. But I do think you hit on one of my favorite ideas, which is who's trying to build an index of these kinds of markets? And if you take venture capital as an asset class,
Starting point is 00:42:56 it's not a big asset class. It's like $100 billion a year in the U.S. And so you can kind of go, well, huh, what would it take to really index that asset class? And there are lots of allocators that are call it, let's say, I mean, I've actually had this conversation with a pension that's like a $200 billion pension. I was like, let's say you wanted to index not the entirety of the venture asset class, but let's make a simple assumption and say, you as an allocator can figure out whether a manager is in the top half or the bottom half of the quality distribution. And that is the only assumption. That's the only prior we're going to make that you can figure out whether manager A is in the top half or the bottom half of the quality distribution of sort of venture
Starting point is 00:43:40 managers, which feels like, man, if you can't do that, get out of the job. So if all you did then was say, okay, I can determine what the top half of the distribution is. All right, bang, I'm at $50 billion. Okay. So what would it cost to buy 1% of every manager of all that every year? okay, it's not that much money. It's $500 million, which is a tremendous amount of money. But if you're a $200 billion plan sponsor, $500 million a year over a three-year cycle is a billion five. That's a one and a half percent position for you, which is not a big position in your aggregate portfolio. In fact, if you were to look at the endowment models where they run anywhere from 5 to 25 percent in venture as an asset class, it's still a tiny position.
Starting point is 00:44:29 And you could probably execute on this strategy. I don't think it will be a manager that does this kind of thing because the way the market works, it would be too hard to actually get to the underlying assets. But an allocator could actually do the indexing work and buy an indexed of venture. And they could say, we're going to get out of the manager selection business
Starting point is 00:44:47 in this asset class because we don't need to do it. What we really care about is actually just getting the underlying beta of innovation and capital formation in this space. Now, if somebody does that and you looked at that, then over time you could go, huh, maybe that could actually be a manager that accomplished that and said, hey, I have 500 million bucks a year. I just want to buy tiny pieces of all these companies. And you could show up at startups and do that. I think in some sense, the folks who in the early days of Y Combinator were just saying, well, backline every YC deal. We're sort of trying to do this in a way. Angelist, too. it. Yeah, and Angel List. Like there are angelist has tried to do it. I mean, the challenge is venture as an asset class in aggregate, it's not obvious that you'd want to own. The beta might suck. Right. The entire beta. But again, if you could pick the top half of it, you clearly want to own it. And I think that's a reasonable assumption to make that somebody's sophisticated could pick the top half.
Starting point is 00:45:40 I mean, it's such an interesting topic because in many ways it's the same topic of every kind of investing. Even if you look at public markets, indexing works and it's driven largely by a very small subset of stocks. So the returns come from, there's a power law distribution in public markets, just like in privates. The benefit of public markets is no one can stop you from buying those stocks. But if benchmark and Sequoia and Founders Fund and a few others have privileged access to that right side of the power law, and an index fund can't get those, then prospect of an index fund in venture sounds lousy to me. And so there's like a privilege of access problem that I think would be really hard to overcome because why would those firms give it up? I mean,
Starting point is 00:46:17 it's a completely fascinating idea. And probably is true for all of this stuff you were talking about in terms of making stuff legible and accessible and liquid. But it's, I think, an important topic for allocators. Well, and I think the really interesting thing is that in a typical market, you would go, that sort of access privilege, which you describe and I think is true, would disappear in the face of a capital flow because somebody would just push the price enough and say, yes, I understand that you, awesome entrepreneur X, you don't really want to sell to me because I'm not as cool as those other people. But what if I just pay you a heck of a lot? lot more.
Starting point is 00:46:47 Twice as much. Like, okay, now maybe I'll sell to you. But what's fascinating is that actually doesn't seem to work in the venture business. And we have a founder in our portfolio who took money from a venture firm at what he internally believed was a 40% discount to the market to get that firm's brand on his cap table. And it wasn't just getting the brand. He thought they were actually over the long run going to be more valuable. But what's fascinating about is before he did that, he picked up the phone and he called a bunch
Starting point is 00:47:15 of entrepreneurs that that that same firm. had also backed, and they all said, yeah, yeah, you're going to take a 40% discount here, but you'll make it up on the back end because you'll actually get a premium when you raise your next round of capital. Now, I sort of hear this story. It's obviously impossible to know whether this is true because there aren't good counterfactuals out there in the market because it's always going to be a single idiosyncratic story. It sounds probably not true to me, but the power of some of these brands is strong enough in the minds of entrepreneurs because it's not that transparent of a market, there's not that much liquidity, and you don't really
Starting point is 00:47:52 know whether somebody's adding value or not, that there's some durability to these franchises, even in the face of steadily increasing price. It remains to be seen, though, if that power will persist as the flows get bigger and bigger and bigger and bigger. And I believe we're still in that period, that the net inflows to venture are going to get bigger and bigger and bigger. And I think by analogy, if you imagine the private equity world in like the early 2000s, everyone did private equity time was like, wow, this thing's been really big. It's way bigger than we ever thought. And what's going to happen in sponsors or buying deals from sponsors and they're paying these crazy prices?
Starting point is 00:48:30 Fast forward to 2020 from 2001, 2001, 2002. And I was doing private equity back then. And it's way bigger than you could have possibly imagined at that point in time. all the limits that anyone would have said about there's no way private equity can get that big. It's bigger. And I think venture will do something similar. What other interesting verticals in fintech have you most interested or excited? For example, we haven't talked about really payments or something like that, more specifically a little bit about banking. What other verticals are super interesting to you today? Yeah. So we think about the landscape as sort of five categories, payments, insurance, capital markets and investment tech, personal finance, and then kind of banking lending credit. it. And then we would add margins to that, some things like e-commerce infrastructure, enterprise financial services, and things like that. At the big level, there's something happening in kind of all of those
Starting point is 00:49:21 categories. What tends to be more interesting to us are almost more horizontal themes that work across all these things. So one big horizontal theme that we think about is if you imagine 50 years ago what it was like to run a big company. And you think about the financial functions that were involved there. Fast forward to today, a lot of functions that used to be reserved for just really big enterprises have trickled down to small businesses and ultimately to gig workers and freelancers, which is this real big trend that we don't think is going to change. The future of work is going to continue to be a kind of atomization of jobs where you're never going to work for someplace for 40 years unless it's kind of your own thing, most likely. And people will move jobs more
Starting point is 00:50:07 and you'll see more and more consulting and freelance type things. And so the example we like to use is payroll. 50 years ago, there was a payroll department inside big companies, and there was sort of some warehouse full of people. And in the movies, you sort of picture all these women with big glasses, shuffling paper around. And you'd call the payroll department, and they'd send you paper checks. And like, this is complicated calculation.
Starting point is 00:50:29 Now it's like you can imagine that. You just software does it for you. And everyone can run payroll. It doesn't matter what size you are. As an individual, you can run payroll and do these kinds. things. But there are more subtle things like accounts payable. Corporations still have AP departments. Big companies do. And yet technology is making that easier, even at the level of a freelancer where QuickBooks can do this kind of stuff for you. So one of things we're cognizant of are like,
Starting point is 00:50:53 what are the functions that still exist only big corporates can do from a financial perspective that will eventually make their way down to individuals? Finance turns out to be one of those. Tax turns out to be one of those. That's kind of interesting. Big corporations have really sophisticated tax, and rich people have really sophisticated tax advice. And yet, TurboTax, which is an unbelievably good product and Intuit is a sort of a remarkable company, it's still not approximating the same degree of sophistication. Right. Just look at effective tax rates. It needs to be the evidence of that. Yeah, yeah, totally. And so there's all kinds of weird inefficiencies that exist because you've needed historically a degree of scale
Starting point is 00:51:29 to deliver these kinds of financial functions. And I think all that stuff will evolve. And we're invested in a bunch of companies that do this, like health savings accounts. is a good example of something that if you're a freelancer or a gig worker, that's been sort of difficult for you to set up those kinds of things. But now technology and startups will make things like that easy. So future of work and all the permutations as it rolls through all these kinds of things, all these categories is an area of interest for us. I think another area that we pay some attention to before you do that, just on the future of work, one of things we also think a lot about in regard to this idea of big corporates and so forth. I mentioned
Starting point is 00:52:05 payroll. So there's been a big thing in FinTech over the past couple years around essentially payroll advances. And you sort of go, okay, in investing, we can settle a complex derivatives trade at T plus four. And yet most of us settle payroll at T14. It doesn't make any sense. My trade with my employer is I'm giving them labor. They're giving me back money for it. And yet that settles T14. So I'm kind of giving them float and I'm taking some risk associated with that. but yet if I call up an investment bank and trade a sort of very exotic derivative, it's still like T3. And so there's been all these things that are created to try to advance money to you as a worker, a whole bunch of fintech startups that do this.
Starting point is 00:52:46 We're invested in one. There's something embedded in that that picks up a couple of these threads and in particular picks up payments of saying, how do we make faster? How do we make more real time a lot of transactions that historically have taken a couple days to clear? and to settle. And again, back to this idea of sort of central clearing. And payroll is a particularly interesting category of this, because it's such an important part of our universe. It's heavily regulated. It's massively protected. We have all these rules around employment that don't exist in any other part of society because collectively we've acknowledged it is hugely important to the way
Starting point is 00:53:22 the world works that people are going to go to companies and get paid that you get your health insurance through it in this country. And so we can't discriminate. And there's all these things. You can totally discriminate in your own house, but you can't, the people in your house work for you. You don't have to be friends with people from other religions and races and so forth if you don't want to. But you can't do that if you want to hire people. And there's very good reasons for that, by the way, that makes sense. But yet you don't have to pay people necessarily when you're supposed to. I mean, in theory, you could run a company if you wanted to and you chose to pay people T60.
Starting point is 00:53:58 It would be a weird state of affairs. I'm actually sort of surprised that some of the investment banks haven't tried to do this yet where they would just say, yeah, you make enough money. You can cover your call, like for the partners. We're just going to pay you once at the end of the year because why not? Anyway, all the stuff that happens at that moment of we're going to transfer your sort of earnings back to you. You could imagine a whole bunch of financial services that happened there at kind of the point where labor and value are actually exchanged. And I think Uber and gig economy is a really good example of how this works, where it's a much tighter transaction.
Starting point is 00:54:32 If I did the ride, I earned X, I can get paid faster. We know exactly what's happened. And now where I'm going to route that money becomes much clearer. For knowledge workers where it's like there's a much looser connection between, well, what is the work you did and what is the compensation you earned? It makes, it sort of doesn't feel as strange that it shows up randomly every two weeks in the bank because the hours I worked today, the things I did today as a knowledge worker are much less connected to sort of the value of my labor. But I think over time, and this perhaps connects to
Starting point is 00:55:03 some of things we're talking about earlier around legibility in markets, there's going to be more legibility around who's actually adding value in your company. And what are people doing on a day-in, day-out basis that's actually moving the needle? And all of these things have the potential to really change financial services. You can imagine a state of affairs where a company says, okay, we can actually figure out in real time who's driving our bottom line and we'll pay you much more tangibly in real time. And there's something about getting paid faster that people like. I mean, there are literally apps where you just get paid, you pay a fee to get your money faster, even though that's kind of irrational in some ways. And so you could imagine it changes
Starting point is 00:55:42 incentives in the workplace if you got paid a little bit faster. So payroll and the moment where labor and value kind of exchange feels like an area of focus for us. So that's one category. second thing I would say that we're interested in is what I would call emergent financial services. And so what I mean by this is you can imagine software, and we've talked a lot about software so far, that offers financial services almost as an ancillary thing within that context. And so a lot of what you're seeing in payments companies are I'm embedded in some enterprise for one reason or another. And then later I turn on a paying function. And so actually the payroll advance company that we're involved in mechanically does this. They sell software to
Starting point is 00:56:23 a particular category like restaurants and shift work things. And then they're paid SaaS revenue for that. And it's a beautiful piece of software. But then behind that, they can turn on some payments functionality and earn incremental revenue from managing payments. And there's a lot of that that's happening in FinTech right now. The last horizontal thing I'll mention is actually what I would characterize as almost a vertical play, which is this idea that you can create, through technology, more targeted affinity groups as customers. So one of the things I sometimes talk about is a bank for yoga instructors. So you could imagine that at any point, 10 years ago, 20 years ago or today, somebody at JPMorgan could say, we're going to go build a purpose-built bank for
Starting point is 00:57:03 yoga instructors. And whatever it is that the particular financial services needs of yoga instructors are, and they have bespoke needs. I mean, there's software packages that exist for yoga instructors. We're going to go build a bank that just serves yoga instructors perfectly. And you can imagine you spend a bunch of money, you build this bank. And then, over time, you get all the yoga instructors in the world to bank with you. Well, that's probably not a good business. The amount of money it would cost you to build that thing is not going to be recouped because the size of the yoga instructor market, while I'm sure it's growing very quickly, is still not big enough historically to have warranted what it would cost to build the bank of
Starting point is 00:57:41 yoga instructors. But what if by contrast it doesn't actually cost that much money to build the bank for yoga instructors? Because you can outsource the ledger that's going to take the deposits to a whole fleet of infrastructure companies that are being started. And you can outsource the marketing and the cat cost to a bunch of players that are really, really efficient at targeting yoga instructors. And you can outsource the user interface design to some firm that's going to cost you a little bit of money, but you kind of get the joke that if you can build that thing way, way cheaper today
Starting point is 00:58:11 than it would have cost a decade ago, which is absolutely true, maybe suddenly the bank for yoga instructors is actually an economically viable idea. And I think where this becomes conspicuous is you go, well, don't build a bank for yoga instructors, but build a bank for health care providers. That's a big category. Build a bank for first responders. That's a big category. Build a bank for military professionals, which, guess what?
Starting point is 00:58:33 That turns out to be a big category, and lots of people have done that. Or build a bank for venture capitalists, which has also kind of been done. And that worked out pretty well. Is that Silicon Valley Bank? Silicon Valley and First Republic. Yeah. Really First Republic. And so I think.
Starting point is 00:58:49 think this kind of idea, you'll see this happen more and more. And it changes a little bit of the risk profile, if you're City or Barclays or Chase or Wells, that instead of worrying about the big horizontal players that are going to come after you, now you have to worry about death by a thousand cuts sort of thing. And this is a little bit of a classic kind of innovator's dilemma approach. There's some small group that doesn't seem like a big deal where, okay, I can lose those customers. But then you realize that's happening at scale. And so you talked about investment management and our RAs and so forth doing a good job, this is a thing you could imagine where somebody says, I'm going to build an RIA that just serves police officers, a lot of police
Starting point is 00:59:30 officers in this country. You could imagine the marketing campaign that would work for that. And I don't even know what the investment strategies tailored to police officers would look like. I don't know if they're long gun stocks or short gun stocks. But you can imagine somebody spends time and figures this out and figures out how to market to that demographic at scale, how to serve that demographic get scale. And that kind of thing, I think, will be a lot of the future of financial service. Such an interesting set of thoughts. Maybe if I could summarize a lot of the things I've learned from technology investors over the last 150 conversations I've had is focus and this affinity group kind of crystallizes the thought for me, focus of the product and focus of the market that
Starting point is 01:00:08 they can be smaller seeming at first actually probably leads to better and bigger business outcomes than trying to cast a wide net, which is super interesting. Some of it's just a practical thing. too about how are you going to attract capital to keep going? Because you're not going to make money that fast necessarily. And if you start with something small and can show it's working, you can show faster growth a lot of the time, which then in turn unlocks incremental capital to let you kind of keep going down those paths. And so, yeah, very much. Things start small, and then there's this snowball that just starts compounding. And in some sense, the whole theory of venture capital is, look, we're going to allow some business to grow,
Starting point is 01:00:47 significantly faster than its kind of ROE would otherwise let it grow if it retained earnings and just kind of kept compounding at that rate by just pouring money on the thing to let it grow at not the ROE, but essentially the return on margin, the return on marketing margin, a very, very different kind of cost profile. And in some sort of venture capital fantasy, you don't change anything about the cost margin of a business and all you're doing with incremental money is just literally pouring it into top line growth and marketing funnel that then just runs through some economic waterfall at the bottom that if anything you're seeing improving margins to allow the business sort of effective ROE to go up on the business over time.
Starting point is 01:01:28 As a practical matter, what tends to happen with these things is you give them more money and actually the ROE goes down because they invest more and more in product because they're not optimizing for the bottom line. And that's very much a symptom of a surfeit of capital that exists in the world today. But yeah, if you start with a niche and you stay focused on it. it, you kind of figure out what the true economics of the business look like in that category. And then you go, hey, this worked in this thing. Maybe we can do something else. So we talked earlier about Landed. We started off focused on school teachers that makes sense there. But
Starting point is 01:01:58 you can imagine the adjacencies that start growing from that market. And the best entrepreneurs, the absolute best founders, have a way of almost speaking out of both sides of their mouth where they can sit across the table from an investor and say, I'm laser focused on this market. This is what I'm going to do. But by the way, if you just let your mind run a little bit, here's all the other stuff that once I've really crushed this thing, I'm going to take over. And that seems to work over and over again. I love it.
Starting point is 01:02:25 I feel like we could go on for hours, but I know we both have other appointments. So I'll ask my closing question for everybody, which is for the kindest thing that anyone's ever done for you. Kindest thing that anyone's ever done for me. Probably my wife for marrying me. A common one. It's hard to put like a specific moment on it as I'm kind of reflecting on it. I feel like I'm fortunate enough to have just been exposed to so many different successful people throughout my life, for lack of the better way of putting it, whether that's personally successful, financially successful, spiritually successful, whatever it is.
Starting point is 01:03:01 We've just been willing to kind of share advice on what's mattered to them and what they've learned that there's probably a constellation of these kinds of moments where someone said, hey, this thing you're doing, that's working or that's not working. And so I think there's probably a handful of moments I can think about where friends have been willing to say, let me step out of a comfort zone and tell you something that you don't, maybe no one's told you or maybe you didn't want to hear or maybe you didn't know about yourself or something you're doing. And I view that ultimately as a sort of act of kindness. I mean, kindness is kind of a funky work. What does it actually even mean to be kind? And one of things I sometimes say is you learn the real truth about people when you, ask them to do something and it costs them something, like it really costs them something. That's when you really know what somebody's about. Are they going to cost themselves something to help someone else? So maybe that's a good definition of kindness. If kindness costs someone something, you're putting something at risk, whether it's a relationship or some self-image, whatever it is.
Starting point is 01:04:04 And so I think most of the moments of kindness that I can reflect on have been people willing to put their self-image or our relationship at risk in some way. I don't know that I can come with a specific one on the spot, though. I love it. I don't think anyone's ever given a meta answer like that about defining kindness. So 156 episodes in or whatever this is. Really interesting take on it. I loved our conversation. Thank you so much for the time.
Starting point is 01:04:27 Yeah, thanks. Really appreciate it. Hey, everyone. Patrick here again. To find more episodes of Invest like the Best, go to Investorfieldguide.com forward slash podcast. If you're a book lover, you can also sign up from my book club at investorfieldguide.com forward slash book club. After you sign up, you'll receive a full investor curriculum right away, and then three to four suggestions of new books every month. You can also follow me on Twitter at Patrick underscore Oshag, OSHAG. If you enjoy the show, please leave a quick review for us on iTunes, which will help more people discover Invest Like the Best. Thanks so much for listening.

There aren't comments yet for this episode. Click on any sentence in the transcript to leave a comment.