In short
a16z Podcast Episode Summary: Is Non-Consensus Investing Overrated?
Episode Overview In this episode, the a16z Podcast explores the heated debate surrounding non-consensus investing within the venture capital sector. Hosted by Erik Torenberg, the discussion features insights from a16z General Partner Martín Casado and Leo Polovets from Humba Ventures. The episode delves into the implications of consensus versus non-consensus investing and its impact on venture outcomes.
Key Themes
- Definition of Consensus: The episode seeks to clarify what consensus means in the context of venture capital and market efficiency.
- Market Efficiency: Discussion of how market efficiency shapes venture outcomes and the role of hot rounds and market signals.
- Risks of Non-Consensus Investing: Examination of the risks that founders encounter when straying too far from consensus.
- Impact of Fund Size and Ownership: Analyzing how the size of a fund and ownership stakes influence investment strategies.
Timecodes
- 00:00 - Introduction
- 01:04 - Defining Consensus and Market Efficiency
- 06:30 - The Role of Hot Rounds and Market Signals
- 10:25 - Founder Perspective: Risks of Non-Consensus
- 13:19 - Investor Perspective: Indigestion vs. Starvation
- 18:28 - Market Cycles & Sector Hype
- 23:55 - The Evolution of Venture Market Efficiency
- 26:29 - Case Studies & Personal Anecdotes
- 33:02 - Fund Size, Ownership, and the Impact on Strategy
- 51:40 - The Future of Venture: Multi-Stage vs. Seed Funds
Key Discussions
Consensus vs. Non-Consensus Investing
- Torenberg's Initial Tweet: The discussion is sparked by a tweet from Martín Casado, asserting that non-consensus investing can be dangerous and may lead to missing critical market signals.
- Market Dependency: Both Casado and Polovets stress the importance of recognizing consensus, particularly as companies rely on market capital for survival.
Founders' Perspective
- Founders must navigate the complexities of consensus while seeking to innovate. If they go too far out of consensus, they risk losing access to necessary funding, which can jeopardize their ventures.
Investors' Insights
- The podcast highlights that most businesses fail from "indigestion" (overfunding) rather than starvation, suggesting that raising too much capital can lead to inefficient operations.
Market Efficiency
- The conversation addresses how market cycles and sector hype significantly influence funding availability and pricing strategies in venture capital.
Case Studies and Anecdotes
- The host and guests recount various personal experiences in venture investing to illustrate the practical implications of their theories, discussing the impact of timing, market sentiment, and company potential.
Fund Size and Strategy
- Discussion on how the size of venture funds influences strategic decision-making, particularly in multi-stage vs. seed funding contexts. Larger funds can afford to take higher risks but may also face pressure to deliver higher returns.
Future of Venture Capital
- The conversation concludes with speculation on the future trajectory of venture investing, particularly with the rise of multi-stage funds and the changing landscape of market opportunities.
Conclusion The episode provides a nuanced view of the ongoing debate surrounding consensus and non-consensus investing. It emphasizes the importance of balancing innovation with awareness of market dynamics while cautioning both founders and investors against the risks of being too far removed from consensus.
Resources and Further Engagement:
- Social Media: Follow the hosts and guests on X (formerly Twitter) to stay updated on their insights.
- Feedback: Listeners are encouraged to leave feedback via ratethispodcast.com/a16z.
- Subscribe: Available on major podcast platforms, including Spotify and Apple Podcasts.
*Note: The content of this podcast is for informational purposes and should not be construed as investment or business advice.*
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:01It's dangerous to do non -consensus investing. Like, that's a dangerous idea. If you're alone in your view, you may just be missing something. Eventually, you have to get to consensus. If you're dependent on capital markets, it's very hard to keep the company alive if nobody wants to fund it. Peter Till once had a line which was like, the faster and higher the up -round, the more you should invest because it's working. Most companies fail from the indedestion not starvation. is non -consensus investing overrated or is it still the secret to venture returns. Today on the podcast, I'm joined by A16Z General Partner Marcin Casado and Leo Pullovitz from Humba Ventures to unpack a debate that lit up Venture X.
0:44Should founders and VCs chase consensus or run from it? They explore what consensus even means in practice, how market efficiencies shape venture outcomes, the dangers for founders for being too far outside of consensus, And why some of the biggest winners in tech history look non -consensus at first. Let's get into it. So, Martina, it looks like you've helped spark a little bit of an existential crisis on venture Twitter. And I thought we'd all come here to talk about it. Great, super. I'm still excited to be here. Why don't we recap, Martina, from your perspective. What were you saying in that tweet?
1:18What were you trying to say in that tweet? And then we can get into the great back and forth that you and Neo had and get into the conversation. So let me paraphrase the tweet. The paraphrase version of the tweet is it's dangerous to do non -consensus investing. Like that's a dangerous idea. The impetus of the tweet, which by the way, wasn't well thought out, which I think a lot of the viral tweets happened to be not well thought out, is, you know, I've been an investor for 10 years, I've done almost 200 investments, either as like running the fund or being directly involved. And it seems being blinker to how VCs view companies is actually quite dangerous because you're so dependent on follow on capital.
2:00And actually it reminds me a lot of being an academic. I survived a lot of papers and like you do all of this great research. But when you wrote the paper, if you didn't actually think about how the program committee would view it, like it wouldn't get accepted. Right? It felt very similar to that. And so that was the origins, but I want to be very clear. I did not say it, I would never say consensus investing is a good idea. I'm just saying not being aware of consensus is a bad idea. And I think the last thing I'll say on this, I think that my underlying belief is early markets are actually pretty darn efficient, a lot more efficient than people realize.
2:35And so if you're alone in your view, you may just be missing something. Leo, we're stoked to have you join us as a friend and fellow venture nerd. What was your reaction? Yeah, I mean, I actually agree with a lot of what Martin just said, which is eventually you have to get to consensus whether it's when you're investing or later because otherwise, if you're dependent on capital markets, it's very hard to keep the company alive if nobody wants to fund it. I would say like for me, and maybe we invest like a tick earlier, more like towards pre -seed and seed, but for me, a lot of my best investments have been more in the non -consensus side.
3:08not in terms of I had some crazy good insight and nobody else had it and like I'm just brilliant, but more like these companies often struggled in the early days because before there's proof points, it's not obvious that it'll be a good idea. And then once they get good, the valuation skyrocket so fast that like you could still get good multiples, but they're just much lower than it early stages. Yeah. And then there was sort of broader commentary on looking at a list of big winners over the last 15, 20 years and say, hey, what was consensus? Which were consensus? Which were non -consensus? And then Martin, will we kind of your reactions to that sort of broader commentary?
3:43Well, listen, I mean, again, it wasn't meant to be a technical tweet where like the wording was exact. And so like on the face of it, it's almost like an ill -defined statement because we don't know what consensus means, right? And so then everybody picks apart the consensus. But here's my reaction to the list of like the Airbnb's and this and that, which is, I think we need to be very careful not to conflate a company having a hard -browned with market consensus, right? Like if you look at the list like Keith Robwa put out, which is great, and I love Keith. I mean, these are like MIT founders known spaces.
4:22Like, I'll bet if you took like the median value of their raises over the lifecycle of the company, I'll bet they're way above market. Many of the companies were YC companies. And so I just think it's so easy to come up with these anecdotal, oh, this one company had a tough raise. When that's definitely not within the spirit of what I was trying to say, which is markets are actually quite efficient. If the market's efficient and it's a good company, the price is going to be high. And if you don't recognize that, then you're probably beating yourself as opposed to the market, right? And so like it really comes down to you shouldn't be looking for good deals with respect to other investors you should be looking for good companies and Price shouldn't sway you from that.
5:08I mean, that's really at the heart of this and so I just don't think that list Unless you actually run the numbers which we haven't done I just don't think it demonstrates that the idea of their consensus is important is wrong at all Yeah, I think there are a few quibbles I had with some of the names on that like some people put and drill and it certainly was a controversial investment, but you know, Palmer lucky, you know, I mean, second time founder, billion dollar exit tray, whose phenomenal, you know, this is in the shadow of Elon who shows that you can already create these defense tech companies.
5:40I mean, if that's our definition of non -consensus, it just shows how insular we are as a community. I mean, it's almost an indictment of us that we even make this list. And wasn't the seat around at like 100 or something like, I think it was a very expensive, or every, every round was super expensive. I'm not sure an ex unicorn founder would ever be not consensus, really. Yeah, it isn't interesting, because there's also sort of, there are rounds that are maybe not consensus at 10 million or something, but then become super hot rounds at 50 or 100, and then become 10 billion dollar companies or 100 billion dollar companies.
6:15And even if you invested at that consensus round, you 10X or 100X. And so it's sort of in the face of, hey, if it's a hot deal, that must mean it's not good. Peter Till once had a line, which was like the faster than higher the up -round, the more you should invest because it's like working. Yeah. I would love to do a correlation now. I was actually Leo and I had, I thought, a very interesting discussion. I'm trying to figure out how you'd actually measure this, how you'd actually throw some data at it. We actually have an analyst working on it now. Like, the data isn't ready yet. So I have a new one.
6:41Actio, another test is with Leo on a good thing to test. So I'll bet the best prediction of a, the best correlate of a high up -round outside of the business is the fact that the previous round was hot. I think that's probably true. And if that's the case, it would suggest that the market's actually pretty efficient because it's almost inductive that like the previous round knew that the next round was going to be hot. So I do agree with that. I think the question for me is like, where is there more opportunity? Right? Because if the five hot companies keep having great rounds and then there's like 10 ,000 not hot companies, but a hundred of them will become hot over time.
7:19Even though the odds are becoming hotter low, most of the hot companies that end up coming from the not hot batch. Right. Right. So the question comes down to, is it easier to spot the company nobody sees or get into the company that's obviously good. And maybe even further than that, which is, to what extent do even high price rounds under price hot deals? Because if the view is correct that hot deals are hot because they're good companies, not like actually the market is very efficient, and that drives the most of returns, then I think the next obvious question is, well, that's the case then the market isn't that efficient because it's underpriced the company, right?
8:09The majority of returns on high price rounds and the market has underpriced it, but I think risk adjusted, that's not necessarily true, which is it could be still price -right because there's still chances it goes to zero. So I guess my sense is until we run the numbers, we're not going to quite know the answer, but I think a lot of these theories prove out pretty anecdotally. And I think maybe that's the problem. There's kind of been anecdote for every theory. Yeah, I think the basket analysis, probably the most interesting one. I have like, how did this one company do? But how did this portfolio of companies that raised a really quick follow -on or had like 10 term sheets at this series A kind of does end up doing over time?
8:51There are even cases in my portfolio where a super hot company from an investor standpoint. So many term sheets. The business didn't work out at the level that you would kind of expect, but the outcome was still really good. And so in some level, even independent of the productive asset, like human opinion about it matters. So there's almost two ways you can slice this conversation. One of them is like, the asset is what's productive and produces the value, right? And the market will determine if that's valuable or not. Right, so that's kind of this productive asset view. And that's kind of the one that I hold, which I think that actually investors are very smart.
9:33I think that they know which companies are good and then they pay for those. That's kind of my view, but that's a productive asset view. But there's another view, which is independent of whether the company is good or not. There are things that people think are good. And so you're almost like playing to like the human perception of the company independent of the other life business. And I would say again anecdotally until we run the numbers we want to know that also seems to be a bit true. Yeah. So I've been in venture for like 12, 13 years now. I've definitely seen this in sectors where like sectors falling in out of favor.
10:04Right. We have like e -commerce was hot and then it was dead and then like dollar shaped clone got acquired and it was hot again. And it's like e -commerce. I think the fundamentals didn't change that much year to year. But like the valuations and the like appetite for investing and maybe starting companies change a lot year to year And so that to be sort of an indicator like it's not just the fundamentals There are all these other like forces as you mentioned Yeah totally one other part to your tweet my team that they think was underappreciated was Sort of the risks of founders of being seen as non consensus in the same way that Because founders need to raise money and they need to raise follow on funding within 18 to 24 months sometimes even sooner and so If everyone's passing on you, people are bragging about how other investors don't want to do your deal, that's not going to be super helpful to you in your next round.
10:50I actually think the most interesting aspect of the tweet was like the sociological study that followed of like how different people interpret it. Right? Like the tweet itself was pretty but all right. It's kind of non -statement. It's almost total logical. But like the like different constituencies viewed it very differently. So like I would say relatively inexperienced investors kind of used it as an opportunity to be like, oh, and Dresden Hortz consensus invests, which anybody that knows anything about our investment knows is just totally not true. Even my own portfolio, many of the top deals I've done, nobody else was in the deal, et cetera, right?
11:23So this is a statement about consensus investing. So that was one cohort. There was another cohort like Leo and Keith who have a lot of data, and they've had a lot of really interesting things to say, and they ended up in great discussion. I think there's still a lot more to do there, but most of the founders, And I got a bazillion DMs, you're totally right. So the founders clearly feel this tension that is dangerous to be non -consensus because they have to cater to VCs and they know it and they see the pattern match responses. They deal with this all of the time. And so from a founder perspective, it's like you almost have to be non -consensus to have alpha in the actual product market, but you have to look consensus when you're raising.
12:07And I think that's actually probably right. I think this is probably one area where I differ a bit. I think there's benefits to being non -consensus because from the company side, I think when the money's hard to raise, you tend to be more frugal with it. And then also if the next round is less certain, like I think there's less of a sort of like a curable at any moment aspect, right? Because I think when it is hot and you're raising sub -to -coat rounds very quickly, and that's the assumption that things will go perfectly. If anything slows down, it's like, that he can't raise any more capital all of a sudden, right?
12:36And I think if you're in the mentality of growing quickly and spending, I think that's pretty hard. On the flip side, if you're not consensus, it tends to be like, you tend to be more cash -efficient, to be more frugal, out of necessity. I think the other side depends on the form of consensusness, but sometimes there's also much softer diligence. I think the worst form of consensus I've seen is like, oh, Sequoia and recented this round. Let me just do a 2X markup in two weeks, because I want to be in the same company. And then there's no diligence there. It's just like, like, oh, this is hot, let me do it.
13:05But I think them, like, maybe we're looking like, is it actually a good business? Like, Sequoia and Andreessen, well, we all make good investments and bad investments. And so it's like, maybe this is one of the bad ones and you're just marking it up because you want to be in the hot deal. And like, that ends up, nothing good for anyone. I think this is a tremendously important and good point. I tend to believe now that most companies fail from indigestion, not starvation, which is they just raise too much money too easily. They don't listen to the actual market which is the customer base. And as a result, they just have a bunch of bad practices and end up running out of money.
13:41And I think that there's a lot to that. I actually think in 2021, if you just did a study of that cohort, the companies that had these met, you know, these billion dollar bees, if you remember that time, was totally crazy. That's probably one of the biggest wipeouts of capital. So I definitely think like consensus investing is definitely very dangerous. And only lineage of this founder is definitely dangerous. But I also think the flip side is true, which is you're totally blinkered to it. I think your life is pretty tough. And it's a big, broad question as to like, of the companies that do win, how many of them are sort of competitive rounds versus not competitive rounds and sort of what is the duration between them being non competitive rounds and then becoming non competitive and what percentage are really able to.
14:26And one question I have is like, is the market getting more efficient over time? a lot more investors, but we should be getting smarter as asset class on how to evaluate these companies. A lot more capital. Are we getting better? And if so, what does that mean? I'd love to hear Leo's view on this. It's something I'm thinking about for a while. My take would be that for non -consensus companies, it's getting more efficient because the more investors there are, the more likely you are to find at least one or two that like what you're doing. I think for the consensus companies, it's starting to get more inefficient, right?
14:55Which is like, when you have 10 terms sheets, you get five X to market, like what the, maybe the fair value should be. And then it's great for the founder and maybe again, a little bit more of a house of cars if things go south at all. But it's also like, it's not necessarily great for investors, right? Because you might have to pay two, three, four X over like the actual intrinsic value of a company, or like the future, like the like the future value of a company in order to get in. But that would be actually, but that would be actually efficient, right? It's just, it's the the prices actually approaching the return profile.
15:29From a market standpoint, that'd be efficient. I mean, it sucks from an investor standpoint because prices go up. Yeah, no, no, so I'm saying, right? For founders, it's getting hyper -efficient or maybe like, there's such an imbalance for the really hot companies that maybe your price gets bit up way past where it should be. And similarly, for non -consensus companies, it's the opposite. We're like, there's not enough investors so your price is lower than it should be perhaps, right? But I think there's like, for me, those two are kind of opposite of the spectrum. Yeah, this isn't great. This isn't great.
16:01I totally agree. This is a great question. So, I think we can all acknowledge that there's a failure mode where the consensus gets bubbly and then companies raise too much capital and then there's a bunch of wipeouts, right? So that has always happened, that will always happen. So that's just part of the market. I think it can also all agree that there's parts of the market where there's probably unnecessary pessimism. So for example, right now during this AI craze, in my area of traditional infra, a lot of the traditional companies that two years ago would be great. I can't even raise right now just because they're not in the sweet spot.
16:43And so I think that will always be an aspect of the market too. But in general, for the mean investment, I do feel like the market over time has gotten a lot more efficient, meaning we can deploy more dollars with more regularity and the price is converging on what will ultimately be a fair price. This is acknowledging both of these failure modes that I have decided. Yeah. We're seeing one right now. I mean, it's the reality. I mean, AI, there's AI companies that clearly are raising speculative money, where nobody even really understands the business model, and there's great companies that can invest in.
17:30So we're seeing this right now, but I will still say the reality is, as OpenAI has grown and Thropic has grown tremendously and Kirchner has grown tremendously. And so there is some underlying market signals to fuel the chaos. Yeah. I think part of it's like, if you ever look at vintage your data for venture funds, it's probably a good way to see if, you know, how consensus and not consensus do over time. Because we need to look at the .com bubble years. I think the median fund was terrible. And I think it's just like, hey, everyone overpaid, and then the companies weren't worth that. And so even though everything was high, I didn't do well and then a lot of the funds didn't do well.
18:11And if you look at the Airbnb Uber 2010 -ish era, it's kind of the opposite. I don't really like, I think the top quartile funds like Crush It, and it's because the market was pessimistic, and so if you were willing to invest and you had a different opinion, you did really well. And now it's probably kind of somewhere in the middle. I mean, maybe I'll just go through like kind of my own startup. just as kind of a single anecdote to frame the conversation a little bit, right? So, you know, I did my PhD at Stanford, I was a classic, you know, take the research to a startup. You know, we had so many term sheets before we had any idea of what we were doing, you know, and it was like the hottest thing ever.
18:51And it was great. And so we did a seed fund, actually, Andy Radcliffe, you know, benchmark Andy Radcliffe joined my board. And, you know, we rose at the time, which would have been a super, super high price kind of seed round, which is 10 million post. This is in 2007. Then the market tanked in 2008, and we still didn't know what we were doing. It was just a bunch of researchers. We couldn't raise any money at all. I mean, Sequoia very famously gave us a black eye and we couldn't raise. And then as we started to come out of the recession, Andreessen Horowitz, NEA, light speed, a few got very interested and then we had a pretty hot round again.
19:44We went and Andreessen was actually over the market price even though the business wasn't quite working, but it was science of life. If then we had an incredibly hot round because it started working. And then when we actually sold the company, I mean, it returned to fund. One of the highest acquisitions on multiples of revenue at the time in enterprise software. And so you kind of asked the question, was the initial flurry of interest warranted or not? Because it turns out like we were probably a month from going bankrupt. And we actually didn't know what we were doing. And the company definitely wasn't working.
20:18And then actually what we had pitched at that time didn't make any sense. Like we're like, we're going to change, you know, switch hardware, which didn't make any sense. And so there's one view that's like the market was over exuberant, you were lucky. There's another view that says, actually the initial conditions were there to do it. I just feel like if you run the data, just seems like the companies that have good outcomes did have sufficient interest along the way because there are enough signals to do it. I think at least on my side, for a lot of the precedes and seeds I've done, I went back, I think over my top like 10 investments, maybe six or seven or eight, took a month to raise a seed round and, you know, like a lot of times, like a lot of passes like they were all, you know, down to the wire.
21:03But then they ended up doing better over time. I think that transition from like non -consensus to consensus and it being really important, because if you never transition, it's really hard, right? And if you're always, you know, if you're always consensus, that's great for you. But like one thing I noticed that was interesting is a lot of the companies that struggled, obviously some of them just go to zero, right? Because they struggled because the business isn't that great, people recognize it. But the ones that did well, a lot of times the gap between like the seed and A or the A and B was literally like 20X or 50X, right?
21:37And so I think part of it's like as an investor, you can still get good returns at like the series A or B in those companies, but it's just, I think it's so different to invest at the seed where there's like a thousand acts versus like the A and a billion where now maybe there's still like a 10 x or 20 x which is very different. So I've got a question for you, Yulio, because I think that you play a bit of a different game than we do, which is, so if you have a seed, which is, let's call it non -consensus, and again, we're using this very vague definition of a consensus, but like, you know, they're having a tough time raising your, you're the only person putting money in.
22:08Do you have a theory on how it will be consensus or is your belief that the underlying productive asset is going to do very well in that by definition is consensus? Do you see the question? So the question is, is this is just true belief in the underlying business? Like the ultimate, I mean, the ultimate sign of success is just the business is really working. So are you like, for the next race, the business will definitely be working or do you have some other theory on what will attract the investors? Let's say it's off in the latter. It's especially true these days, investing more in deep tech companies.
22:47It's very rare to see there's an asset that's going to be working here at the Series A, because usually the asset's still going to be being developed at the Series A or maybe Series B. I think what I'm looking for is there's maybe not enough here for somebody to write a five or $10 or $20 million check, but the company has milestones that I think if they hit them, then it would become sort of consensus enough to merit a check of that size. And then basically turn it value, like, okay, if they come to you as these milestones, they think they can hit them or not. And also if they hit them, are they compelling enough?
23:20But I think that's sort of the big investment wager. Yeah. So in this case, you do think about like what the follow -on thing is going to want to see. You have reached a conclusion for the current round that is non -consensus. Yeah, and I would say like the consensus piece is part of it in that I definitely meet companies where they're like we're raising three right now it'll help us do these milestones and then we think we can raise 10. And then there's other ones where you know it's like we're raising three now we're going to hit these milestones and then we want to raise like a $50 - $100 million series A.
23:54And that's actually a much harder bet right because you're saying like you have to assume they're going to be consensus by the time the next, there is an X round and it's going to be like a top 5 % series A. And that's a hard bet to take. For the companies where the capital needs are more modest or they have like a more trans -road map planned, I think it's a little bit easier to, you know, to predict like, hey, would these milestones be enough to raise 10? Like a lot of times that I don't know if it'll be enough to raise 100, it's like probably not. But 10 feels like pretty feasible if you do the things you think you're going to do with this three.
24:23As you're kind of you on this shifted in the last, like do you feel find this AI waved to be different than previous waves or fairly similar? Probably a bad person to ask. I actually haven't invested much in AI because of the deep tech angle. So maybe like 10, 15 % of my companies are pure AI. Others obviously use it in some way, but that's not the product. How about deep tech then? Because I think that's also, you know, like pretty different than what we were all investing in five years ago. So maybe on the AI side and I'll touch deep tech next. I think AI is interesting to me because on the one hand I've never seen faster growth.
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25:03I like people talked about the like triple, triple, double, double, double thing for a while of getting from a millionaire to 105 years. And that seems so antiquated now, right? Like the bus company's doing like one or two years. I think in the flip side, the kind of the endurance, like how long those companies in during last -and -grow feels like much more of a question mark. Because in the triple, triple, double, double, double, like if you get 100 million ARR and there was no in the coast, you probably just keep growing. And now it feels like you could get a hundred or then you drop to 50 because something else would be better with the better product.
25:33So, you know, I think there's like the growth is amazing and then the modes are weaker. And so I think there's a counterbalance there. And I'm not sure how to evaluate it because I've invested that much of that stuff. I agree. On the deep tech side, I definitely see areas with a lot of hype from time to time. Like we, for example, we invested in defense a lot three, four years ago and then we kept working with basically pause for a year and a half or two because after Ukraine and Israel, prices just went up like two, three, four times. But the company fundamentals didn't change. And then it started being an opportunity cost of like, should I invest in this defense company up 40 when there's this really great energy company at 15.
26:11And so I think the fence was kind of like that. I think Bio has a lot of ups and downs. I think in robotics, humanoids are probably like one of the most hyped areas where the evaluations just get crazy before there's any revenue. So I think that I actually, I feel like it kind of lost the thread in the original question. But no, this is great. I mean, I was honestly just wondering like how you thought about this current way of you to do the great survey of the set of the waves. I actually agree. I would say like for the consensus areas like humanoids, like we end up, not explicitly avoiding them because once you have a few companies that are raised like hundreds of millions, whether they end up being great outcomes or not, I think it's pretty hard for someone to start something new with like, you know, near zero resources and team.
26:54Yeah, you know, it's interesting when you do the humanoid. So I think there's all sorts of types of investing and they're all pretty valid. One type of investing is humanoys are clearly interesting. Big companies are clearly interested in it. So why don't you back a bunch of good teams in worst case they get acquired? And I think that's totally legitimate, but that's not how I think at all. For me, the company has to make sense as a standalone business at scale. So things like humanoys are tough for that just because the unit economics right now or just so unknown, like competing with the human bodies a very, very hard thing to do.
27:33And then of course you can be like, okay, well, we'll put it where human beings can't go like a car factory, but then all of a sudden now, you're building a manufacturing company. So you've verticalized heavily, and the company has to look at kind of whatever sector that the robot's going into and it's more constrained. And I don't understand the competitive set, and yada, yada, yada. So I just feel like, from my standpoint, the idea that this is very buzzy and hot in the industry for big companies and it may have an M &A. I don't know how to invest that way. I just don't know how to handicap that.
28:09And so the way that I tend to view these things, I mean, like for AI, for better or for worse, like you actually have great unit economics. I mean, everybody knows kind of like, when we always talk about the open AI's and the anthropics, but do we talk like the 11 labs, for example, or mid -journey? I mean, these are just famously model companies where the unit economics are great, or grow very quickly. And so I understand that. But I think there's kind of been this weird, and this happens, you know, a lot where people take the example of these model companies and they apply it to totally different spaces where you don't have the proof points, you don't have the economic case and they kind of apply it.
28:49And that's one thing I don't know how to do. So certainly I don't believe, you know, we should all just follow like the common consensus around areas to invest in. But I do think that there's gonna be a pool of capital and it's gonna come to just look a certain way. And if you don't consider that when you're investing, I think life will be a lot more difficult. Yeah, I agree. I'm sort of on the side here on the humanoid stuff. I think what I've seen over the last 10, 15 years is if the market is big enough, it really distorts VC investing. Because it used to be that you'd look at a market. You're like, oh, it's a two billion a year market.
29:26if there's a 1 % chance they could capture, it'll be worth this much. So true. So let me justify a seed price. If the market's like $5 trillion of human labor or something, like any price makes sense, right? But then I think that really just starts with how much values are in this. The most boneheaded partner meetings were like, well, yes, it is cold fusion, but this is the largest market ever. So on the off chance it works. I'm like, this is an engineering man. This is like laws of physics. I'm not sure that a good software founder is going to bend the laws of physics. But yeah, I think I totally agree.
30:00I also feel like, I don't want to harp on this too much, but like, unit economics is so important. I mean, like, what is the story for autonomous vehicles? Right? The story for autonomous vehicles is that even after the industry's put a hundred billion dollars in it, a hundred billion, the unit economics are still, you know, let's call it on par with Uber. Let's Does that make sense for venture investment? It's really, really hard to build a stand alone business for those types of economics. I mean, Google can do it, sure, and Tesla can do it, sure, but can start up X to it, no. And so you're either playing for, this is a great company that got acquired, which a lot of that happened and people made good money, but like that's again, that's not saying that, you know, to start up, or you're building picks and shovels, like, like applied intuition where you're like, you're building software for this market.
30:56But I do think that a lot of investment dollars do follow these spaces where there really is no thesis on the ultimate new economics. And I think you're exactly right. I just think that there's this kind of market -tam sloppiness that says, well, if the market's invented it, then the expected payout is high. That's also invented it. That's also invented it, exactly right, yeah. Yeah. When I look at my portfolio, I see both. There were some, you know, of the winners, you know, pave and scale were non -consensus, non -competitive, you know, unproven, but very talented founders and then, and then on the work consensus competitive, Jack Altman and Kasser were.
31:38How is, how is scale non -consensus at, at, at seed? You know, Alexander Wang was 18. It's a total known space. He's phenomenal. The A was done by Volpe who's amazing. I mean, I just feel like this is a very narrow definition of non -consensus. For nearly most of the rounds, it was competitive. So yeah, I can agree that Dan Levine, Dan Levine was, I mean, come on. These are like the best investors in the world. I just mean to say that I brought the example to say that the castors' round was almost an order of magnitude more expensive. And I think what people have been late to really internalize and what Aisin Z was super early to internalize was just the outcomes are order of magnitude bigger.
32:27Maybe two orders of magnitude bigger and so you can get seeded like returns at order of magnitude or even two orders of magnitude more expensive. So remember YouTube, Instagram, we're considered very expensive acquisitions at just a few billion dollars. And a few years, we're going to have more trillion dollar companies. And so once we truly internalize the outcome expansion on the order of magnitude, I think it makes sense to Leo's earlier point that it would beg the argument of like, okay, but can you have 1 ,000 X -like returns? And not just what we used to consider seed pricing, but maybe at Series A or maybe even Series B.
33:02Well, this is a very interesting question because you actually do run into fun mechanics as an actual price modulator in this discussion, right? So you're exactly right. So again, I'll go back to my company. So my company is acquired for $1 .2 billion. We have, let's call it, you know, less than 10 million in ARR, right? So does that make any sense? And a lot of people are like, this is totally crazy. This makes no sense. Except for what I left, you know, the run rate of the three and a half years later, like the RenRate was, you know, $600 million within VMware who acquired the company. And then right now it's, you know, let's call it two billion, right?
33:39It was actually at one point in time, I think it was 40 % of the growth of VMware, like the business unit that I ran, that was part of the acquisition. So clearly it made sense to VMware. So as a result, you should say all the check sizes should be high for the winners because the outcome was so good. And this was, you know, this actually returned turned a lot of money to a lot of investors. The problem with that is I just think that that would mean fund sizes would be too large and you'd have to unlock different pools of capital, which by the way did start to happen during the soft bank and the tiger and the co -two era.
34:17So you could argue that all of their theseses were correct, right? Like soft bank was actually right and tiger was right and it was actually a macro issue that caused all the pullback and that's going to come back again. I mean, I think a very legitimate thesis, but I really feel the reason that prices don't continue to go up is more just access to LP capital. So, Leo, let me just try to make this a bit more concrete, which is I think what Eric said is correct, which is the outcomes are so big, it suggests that high prices, like the prices are too low that we actually pay. I think the prices, you know, the fact that we get the returns we do suggests the prices are too low.
34:55So the question is, is why are the prices too low? And I think the answer is, is like, we just don't have the dollars to place all of those bets. And a number of people have actually questioned exactly this, very famously. Soft -bank question this, tiger question this, and so they rose these, you know, raised these, you know, insight question this, they raised these huge funds, and they deploy a lot of capital. And those experiments had very mixed success. But I'm, it's not obvious to me that the reason they had mixed success is because the prices were too high. I mean, there's a lot of reasons why those could not have worked, including kind of macro cycles and also the fact that none of them were Silicon Valley insiders.
35:33None of them were, you know, traditional early -stage investors, et cetera. So there's a very reasonable question, which is, you know, maybe someone should just go run the Tiger Strategy again, but as a Silicon Valley insider. Well, in some ways, you know, there's the failure cases to some degree, but in some way, you know, I mean, thrive, raise bigger funds, founders fund raise bigger funds, we raise bigger funds. The winners are also multi -states raised bigger funds. It just could be that this is just a market being efficient. Actually, the reason that more money is going into this and the funds are getting larger is because the opportunity set is larger, and this is just a market working its way out.
36:10But Leo, you're very quiet. This is actually pretty controversial statement. So I want to make sure that. I guess I'm not sure what you mean by we should be paying more. Do you mean that like you think the current prices are still like well below where they should be? And I guess if so, like I'm horrific off the Varic statement, which I thought was right, which is, which is venture capital has been a top returning asset class. And you can look at individual investments. If you just take the top 10 % of funds, they return so much money. So there is an argument that even with these high prices, they're still underpriced.
36:52And put it differently, Leo, it's like a seed fund may say, oh, I'm not going to invest in something at 50 post or 100 post because I don't think there's a thousand ex potential. I don't think a thropic is going to be a hundred billion dollar company or open AI is going to be a hundred billion dollar company or whatever it is, but it turns out it is. Like it turns, you know, what we used to think about it. I think you're very not to say open -ass, going to be a hundred billion dollar company, right? Exactly. Yes. I mean, a few years ago, you know, and so it doesn't seem like we've sort of truly internalized that this is the norm, that there's going to continuously be a hundred billion dollar, you know, outcomes.
37:32If not. Or that the market just continues to grow. And therefore, it necessitates larger fund sizes. I mean, I would say probably the venture market was what, 100th to size 20 years ago? Probably something like that. It's kind of what I was going to think about. Yeah. And we did think a few years ago that there'd be a great contraction in the article. That 2021 was a blip and that, you know, it would sort of write size back to where it used to be. And it doesn't seem to be the case that it's going to 2010 levels. I'm not sure if you guys have the data on you, but when I talk to our team, when I talk to thrive, it seems that people think no more capital is just going to keep entering.
38:14That's just because companies stay private longer too. But I think the actual number of $100 billion plus companies in the last 20 years is pretty small. I don't know the exact number, but it's like 10 or 15 or maybe 20 or something. So it's like, you really betting you can get like the one every year or two that gets there. If you're, you know, let's say you're doing a series A like a billion posts or something right? And you want a hundred X even ignoring delusion. You'd have to bet that there's more of them and that more of them going to happen and that there are also more ways of getting liquidity from from them as well.
38:53But but also just but that also kind of suggests purely by the numbers that the most important and thing is just being in one of those and not... If you can, the most important thing is being in one of those independent of price. That's the higher -der -bit. So I think, I mean, I generally agree, right? Like, if you're in the best company of the year, I don't think ownership matters that much. I don't think the price matters that much. If it's gonna be the best company, it's like 10 years forward. I guess to your earlier point where, you know, if venture funds had more money, they'd do higher valuations.
39:26I mean, it sounds like then you could do the higher valuation today to the right because you could just be like, hey, if we just want to get in this one, we'll pay twice the price and get half the ownership or something, right? But you also need a diversified portfolio. You need enough companies. No, you need the fun size to run that. This is why I think a lot of this comes back to fun size. I mean, even in the Andreessen portfolio, I'm just thinking off the top. We have three companies that are at the 100, before companies at the 100 billion dollar mark, right? I mean, they're Stripe, Databricks, Coinbase, Opening Eye.
39:54And so they're not that rare. You guys have awesome coverage. I mean, like, like, I think I guess the course is like, how many more could you name though from the last, like, you know, 15 years? My guess is not every 15, not like 100, right? Yeah, yeah, yeah, yeah. I mean, 20 billion plus, there's a lot. And that used to be so rare. An enterprise software used to be an ad is that nobody ever broke, you know, 20 billion or 10 billion, right? And it all to networks was at 15 and we were like, this is crazy. Now there's so many of them that have. And so maybe with a hundred billion year right, but in the world that I live in, the amount of like deck of corn is probably an order of magnitude more than what it was 10 years ago.
40:36And on the face of it, that would argue for an order of magnitude higher, fun size. If you want to play the strategy of being in the winner, I mean, there's clearly multiple strategies. But if you want to, again, I don't know the, Yeah, for me, the key question, I don't know the answer. I wonder what the numbers is. If you take a dollar of earnings, like a dollar of earnings for a venture capitalist, did that come from a company that raised that high prices or not? And I would guess the answer is yes, just because the winners are so outsized. I mean, I'm like, I hope that there's like multiple ways to play it, right?
41:13Which is if the outcomes are 10x bigger, you can have a 10x bigger fund. And basically run the same playbook, keep the same ownership and like a big outcome still returns the same amount of the fund. You can also do like more investments that like you know a fraction of the ownership and then each investment maybe moves the needle less but you have a higher chance of hitting like you know the spike of the year or the uber of the year. Yeah yeah that's yeah so I think I think there's definitely different models I could work here. Yeah that's a good point. Yeah no you're right. I want to make a few few related points here.
41:42So one is I remember someone I don't want to quote tweeted, Martine's tweet and said, this is a sign that the asset class is dead, or the idea of a more efficient market. And I think what that really means is more that individual's firm is, if an individual firm can't compete and win deals in an efficient market, they're going to lose. And so I think my second point, which is, I think there's a lot of venture capital, Leventure Capitalist identity is tied in being non -consensus, in being able to see things that others can't see because it's hard to win against all these other much bigger, much more well -funded players.
42:25And for that reason, the less one used the terms, because that's the non -consensus, because it's so core to people's identity. And more one used the term like, either it's a hot round or it's not a hot, you know, it's competitive round or not competitive. And I think another way of framing that, it's not perfect, is the company working, or is not working at the point of investment. And let me add something to it, which is if something is working, then it's okay, it's like, what is the price and what is the potential return multiple, and how does it work with your threshold, et cetera. There's some things that are competitive and not working, but have an incredible founder or people, you know, whatever.
43:05It's early enough that people believe the division, and so you're still paying that price based on what you think. And then there's lots of things that are not working or not obviously working. But we've chosen to do less, I believe, consumer things that are pre -tracked. So it's basically it's like, do you wanna invest in things that are traction, or no traction? And there's failure modes with both. But it's a not every hype thing, not a competitive thing has traction, of course. But it's just another way of framing this to be I'm curious to feel free to quibble with my framing. I think I saw the same quick to eat.
43:39I probably somewhere in between. I don't think venture is dead. I think it gets a lot more fun if it's purely consensus. The reason is I think in a purely consensus world, like it all just comes down to the cost of capital. Right? And so if my LPs want 5X and yours want 2X, you could pay two and a half times higher prices. and the company's not better is just like, oh, like your cost of capital is lower, so you're gonna win all the time. But also, it's like, we all see the same value, it's the same value, it's like, who wants the smallest return that gets into business? And that just feels less exciting to me.
44:13Yeah. I mean, that's exactly right. I'm gonna, I'll get a little bit philosophical on this, but like the thing that I've always, that's always bugged me about PE investing and public market investing is it just doesn't care about productivity really. I mean, it does to some degree, but I just like, you know, if you're in a large public company, like I was, you realize that the public market's really care about predictability over innovation. For sure. I mean, and so innovation has stifled so much. And in fact, it kind of, It kind of causes large companies to protect themselves through kind of in -compensy and monopolistic practices and everything else just because they're not allowed to be aggressive on growth, right?
45:04So I feel like it's almost this negative force on progress and innovation. And I don't want to be too dramatic about it, but I just feel like, I'll bet if you draw a dollar at random that gets invested, 90 cents of that dollar goes into keeping incumbents alive and or predictability and not to growth. I'm a huge believer in creative destruction, man. I'm like, fuck, man, get him out of the way, less investment growth. So I love the idea of Ventra as an asset class getting more efficient. And I love the idea of more money going into it because the entire thesis is growth. you never invest in the I don't.
45:48I mean, I'm sure you don't. I never invest on downside laws. I don't care. You only invest on upside. And so to me, more dollars going into ventures, only a positive for humanity. And again, I don't think I'm just on two grand deals, but I do feel it's just a net positive. Well, so maybe on that front, I think it's a really interesting perspective. I feel like a lot of the more from a company perspective, the investor perspective, I feel like a lot of the most disruptive products for maybe non -consensus at the time. Totally. Where you start with no buttons on the iPhone or you got like Uber instead of taxi, it's a stranger driving.
46:25And those are the ones where I think if you're like, I'm going to build a taxi company, but it's like 20 % more efficient. Like, probably could be a big business, but not quite the same level of disruption and growth as like, you take a big bet and you might very high chance you're wrong, but if you're right, like you're going to be in a really good position. Yeah. And this is so critical. I'm glad you brought it out. I really believe the best companies themselves are non -consensus to customers. I just think that the investing market is different than that. They kind of understand that. And therefore, a comment on investors being consensus is very different than a product or being consensus.
47:05That makes sense. Investor sentiment, I think, is actually much smarter than people think. Like I think like the adage is VCs are dumb. Like, you know, they just, you know, Chase trends and all of that is true. But the reality is is as a group, we have identified a cohort of companies that are quite disruptive and invested in them and price them. And those, the companies themselves tend to be actually quite non -consensus to the actual consumer to the market. I do want to build, Martin, on your point, because I think it's so interesting just to comment on how not everyone's incentives are totally aligned here, especially between sort of what's good for the individual and what's good for the ecosystem.
47:47And so in the sense that, yeah, if you're an individual VC, you don't want more capital, or if you're a founder, you don't want more founders in your space. But to your point, competition is, and to people who are saying competition is bad, you don't want competition, but competition is what fuels incredible product. It's like the Darwinian process, like this is how we get a bigger startup outcomes, a startup ecosystem, having more value, incredible products for customers and users. This is how we solve cancer, man. More money goes into VC and we invest in companies and as opposed to investing in dying companies, this ability to retain their place, 100%.
48:24Like all the finance needs to change. And I think VC's are trying to straddle sort of, you know, LPN incentives, founder incentives, their own incentives and there is some overlap and there's magic there, but it's also just worth acknowledging that not every individual person is aligned and that's okay. I also do still very much believe in the in the barbell that there will be, you know, these big, these big, you know, sort of massive funds that continue to, to, to, to win an invest in compound value and also these, you know, smaller, focused, concentrated, expertise for the deeps who absolutely crush it.
48:58And we all work together. So, so Leo, we're going to run, we're going to run the numbers. I was trying to get it done by now, but there's a lot to do. that the numbers are fuzzy. I just want to walk through what we're going to be looking at and then maybe we'll schedule another podcast once the numbers are out to actually discuss it. So one of the numbers we're going to look at is if you look at, if you cohort companies into winners and not winners, call it, looking to whether on average for that company, the rounds were priced just above or below median for other companies at a similar stage.
49:39So this will say whether it's relatively high priced for winners or not. And then the other one, which is even more difficult to determine, is given actual returns, are the bulk of the returns from companies that were on average high priced or not. And I think these two numbers will give us a sense to whether the market is actually pretty smart about the value and the price. You should not look for price arbitrage if you're looking for returns. Is that sound fair? Yeah, I think that sounds fair. I definitely agree with the not looking for price arbitrage fees because I will say from me personally, my best investment's have been ones on average that took a while to raise their seat down.
50:26A lot of people didn't get it and like it. But on the flip side, some of the biggest misses are also the ones where it's like, we liked everything except the price. And like we thought it should be a 10 and some, you know, a sim big fund gave them a term sheet of 20 and we passed. And then now it's a 10 billion dollar company. Somebody that was like, maybe that was not a good fast. Yeah. You know, you know, honestly, as we go through this conversation, it does strike me that, uh, I think a lot of this is honestly just we have a bit different perspectives. I got, I have to deploy a lot more money than you do, right?
50:55I'm a, uh, series A investor who needs to basically cap out 30 to 40 million and in order to have a significant position. And so I may have to be a bit more concerned about this than you do at the early stage. And I'm sure stage does color this conversation quite a bit. Yeah, everything you're saying is totally sensible to me. So that's what I think there's any disagreement. It was definitely something I was thinking about, which is like I think if every check you write has to be at least 100 million, I think it's actually very hard to do on consensus. Right, because there's not a lot of companies that hit a stage where you do not sign a million, but it's still not clear if it's a good company or not.
51:30And I think the earlier you go, if it's like $30 million checks 10, 5, 1, I think you get more and more of a category. We're lucky you have the option and you could do either one assuming you have access to the consensus opportunities. Leo, I'm curious. And you know, you guys have absolutely crushed it at seed with some, you know, Robinhood and Flexport, etc. But I'm curious what you think of Romtons sort of thesis that multi -stage has one seed more or less in the last like 10 years that when you look at a lot of the big winners, they were done from multi -stage firms at seed. I'm curious one, if you agree with that sort of reading of history, and then two, if you think that's, well, definitely you probably don't.
52:08They get, they get, it's like they go forward. I actually thought this was an interview. It's our role. What's the difference between the question? And did multi stage win seed or more seed than seed firms win seed? Obviously, there's some, you know, first round sues that, you know, like lots of great seed firms. But when you look at the aggregate of, of, of, you know, of winners, do they have a multi stage of seed or not? That's what Rampton's argument is they had a multi stage seed. And that's why he co -invests with multi stage as a whole strategy. And then just, you know, passes and, you know, isn't the future necessarily.
52:42What do we think about the future? So, I mean, I haven't looked at, I haven't regressed the analyze like the $10 billion, $50 billion dollar outcomes for over the course of suicide, I think we've invested in like 10 or 12 unicorns roughly. Maybe like a third of those or quarter those had a series and investor at seed. And I'm not really counting like sometimes I was like, oh, this series and investor did a 50K check in the YC round or something. I like, I mean, like actually took half the round or more. So most of them still were seed only or like seed funds dominated at the early ground and then they went to Multistage very quickly after that.
53:20But so my experience, I think there's a subset of seed where I don't know if I'd say Multistage funds won, but they have a very strong advantage where if it is a founder that previously built a business that exited for a hundred million and they're in the space that they know super well, that's going to get done at 40 instead of 20 or 80 instead of 20 post. and chances are it's going to be a multi -stage and not like a boutique seed firm. So I think for that segment, like, multi -stage has not won, but I think it's probably like the predominant, like the majority of the time they have a big leg up.
53:52I think for the other ones where it's plus obvious, it tends to be much more seed -dominated. Or seed -fund -dominated. Yeah. Martin Leo, this has been a great conversation. Thanks for listening to the A16Z podcast. If you enjoyed the episode, let us know by leaving a review at ratethispodcast .com slash A16Z. We've got more great conversations coming your way. See you next time. As a reminder, the content here is for informational purposes only. Should not be taken as legal business, tax, or investment advice, or be used to evaluate any investment or security, and is not directed at any investors or potential investors in any A16Z fund.
54:30Please note that A16Z and its affiliates may also maintain investments in the companies discussed in this podcast. For more details, including a link to our investments, please see a16z .com forward slash disclosures.
From the publisher
Is non-consensus investing overrated—or the secret to venture returns?
a16z General Partner Erik Torenberg is joined by Martín Casado (General Partner, a16z) and Leo Polovets (General Partner, Humba Ventures) to unpack the debate that lit up venture Twitter/X: should founders and VCs chase consensus, or run from it?
They explore what “consensus” really means in practice, how market efficiency shapes venture outcomes, why most companies fail from indigestion, not starvation, and the risks founders face when they’re too far outside consensus.
Timecodes:
00:00 Introduction
01:04 Defining Consensus and Market Efficiency
06:30 The Role of Hot Rounds and Market Signals
10:25 Founder Perspective: Risks of Non-Consensus
13:19 Investor Perspective: Indigestion vs. Starvation
18:28 Market Cycles & Sector Hype
23:55 The Evolution of Venture Market Efficiency
26:29 Case Studies & Personal Anecdotes
33:02 Fund Size, Ownership, and the Impact on Strategy
51:40 The Future of Venture: Multi-Stage vs. Seed Funds
Resources:
Find Leo on X: https://x.com/lpolovets
Find Martin on X: https://x.com/martin_casado
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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
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