Uncapped #18 | Peter Fenton from Benchmark

23 Jul 2025 · 1 h 18 min

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In short

Podcast Episode Summary: Uncapped #18 | Peter Fenton from Benchmark

Overview In this episode of *Uncapped with Jack Altman*, host Jack Altman interviews Peter Fenton, the longest-serving full-time partner at Benchmark, a leading venture capital firm. Fenton discusses various topics including his insights on Darwinism in Silicon Valley, the implications of AI, and effective strategies for venture capitalists and board members.

Key Themes

  1. Darwinism and Silicon Valley
  2. Fenton emphasizes the concept of Darwinism as it applies to Silicon Valley, suggesting that the ecosystem undergoes natural selection similar to biological evolution.
  3. He identifies three key mechanisms:
  4. Random Mutation: Both planned and unplanned changes, with unplanned variations often yielding more significant results (e.g., ChatGPT).
  5. Selection: The forces that determine which companies or technologies succeed in the ecosystem.
  6. Inheritance: Knowledge and experience passed down through successive generations of entrepreneurs.
  1. The Role of AI
  2. Discussion on who benefits from AI advancements, with a focus on startups being better equipped to adapt and innovate compared to established incumbents.
  3. Fenton predicts the emergence of multiple trillion-dollar companies in the upcoming years due to AI's disruptive nature.
  1. Embracing Non-Scalable Approaches
  2. Fenton advocates for embracing strategies that may not scale effectively but are crucial for building meaningful connections with entrepreneurs.
  3. He stresses the importance of personal engagement and deep relationships over merely transactional interactions.
  1. Sourcing Methodologies
  2. Fenton shares insights into effective sourcing strategies for venture capitalists, emphasizing the need for curiosity and active engagement in identifying exceptional talent.
  3. He describes three successful sourcing strategies:
  4. Expertise-Based: Being a thought leader in a specific area.
  5. Human-Centric: The ability to recognize extraordinary individuals and their potential.
  6. Business Model Investment: Understanding and investing in viable business models that can disrupt existing markets.
  1. Being a Great Board Member
  2. Fenton outlines his philosophy on board memberships, focusing on understanding the founder's purpose and providing ongoing support.
  3. He highlights the importance of staying close to the team's vision and maintaining clarity about strategy and structure within the company.

Timestamps

  • (0:00) Intro
  • (0:23) Darwinism and Silicon Valley
  • (5:38) Silicon Valley vs everywhere else
  • (12:09) Highly adaptive ecosystems
  • (19:40) Who wins with AI
  • (26:22) Applying Darwinism to venture
  • (36:54) North Stars in venture
  • (42:22) Embracing things that don’t scale
  • (49:51) A young person's game
  • (57:10) Sourcing methodologies
  • (1:07:50) Convincing founders to choose you
  • (1:10:56) Not a winner-take-all game
  • (1:13:35) Being a great board member

Key Takeaways

  • Adaptability: Silicon Valley's strength lies in its adaptability and ability to evolve, which is critical for innovation and success.
  • AI as a Catalyst: AI is expected to drive significant changes in the startup landscape, presenting both opportunities and challenges.
  • Relationships Matter: Building deep, meaningful relationships with founders is essential for venture capitalists to support and amplify their entrepreneurial journeys.
  • Continuous Learning: Fenton's approach emphasizes the importance of ongoing learning, listening, and collaboration to navigate the complex and ever-evolving landscape of venture capital.

Additional Resources

  • More on Benchmark and Peter Fenton: [Benchmark](https://www.benchmark.com/), [Peter Fenton on X](https://x.com/peterfenton)
  • More on Alt Capital and Jack Altman: [Alt Capital](https://www.altcap.com/), [Jack Altman on X](https://x.com/jaltma)
  • Listen to the podcast: [Uncapped Podcast](https://linktr.ee/uncappedpod)

Conclusion This episode of *Uncapped* provides valuable insights into the evolving nature of venture capital, the importance of adaptability, and the essential role of strong relationships in fostering innovation within the startup ecosystem. Peter Fenton's experiences and philosophies offer a roadmap for both entrepreneurs and investors navigating the complexities of today’s tech landscape.

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Transcript

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0:00Six minutes in you're like, okay, there's 40 coding companies and this and that but there's one person who has this clarity totally and you just don't even have to finish like the five minutes in the meeting You're done, but then it's clumsy because you're like it's a relationship So you want to have it two way you want to have it. You don't want to just say oh my gosh Yes, you had me five minutes in Peter really excited to have this conversation with you. Thank you for making time for this girl to be here What a joy. So I asked you what ideas you've been thinking about lately. Yeah, and you shared that the idea of Darwinism, you think, is still underappreciated and how evolution applies to areas outside of biology.

0:36Can you just share a little bit about that idea? Well, I think that in the last 50 plus years, the biggest intellectual progression that maybe we'll look back and see in hindsight has been generalizing Darwinism. What does that mean? You know, we're in these complex systems. We're sitting at the center of the Silicon Valley, which is an interesting complex ecosystem that is undergoing the same mechanisms of Darwinism that I think you can see visible in evolution by natural selection, but also in cultural evolution and technology evolution. And it comes down to these sort of very base mechanics that I think generalize and give us insight into the systems that we work in, be they cities or companies or industries.

1:26And the three mechanics of evolution, we all know to be random mutation, but I'd call that planned and unplanned variance. And interestingly, unplanned being more important than I think we all have appreciated and take that for like even the unplanned mutation of chat GPT. Secondly, you have selection, which is some force that determines the reproductive or fitness or whatever is usually just what's the likelihood that that thing is going to be around an evolution by natural selection. It's a reproduction and surviving reproduce. And an ecosystem in a company, it's of course surviving and then creating more profits, more revenue, whatever more customers.

2:11And then the third variable in evolution is of course inheritance. And so there's this idea that things are all on the continuum and evolving through these three mechanics. And so why is that relevant to the world of the Silicon Valley? You know, I spent a fair amount of time in France and, you know, 10 years ago. And I really got to think, why hasn't the Silicon Valley been created somewhere else? And then you ask another question, was it, why is it most likely in probabilistic thinking that the next trillion dollar company will come out of the Silicon Valley. Why is the Silicon Valley the most likely ecosystem to identify, adopt, and scale the next disruptive technology?

2:53You look at the internet, it didn't have to happen here, but it did. Obviously, there's Amazon up in Seattle, but I think if you look at the supermajority of market cap, the gravity's here, social mobile here, crypto is interesting because it's sort of was not of a place, even though Coinbase got started here and you'd still say that it's rooted in the Silicon Valley. But the NEI, of course, is this is home. And I think one of those examples, any one of them sort of reveals the whole picture of like we have the most adaptive ecosystem in the Silicon Valley because it's evolved. And it has mechanisms of being able to tolerate mutations, identify and put selection pressure, which to me is like capital teams, entrepreneurs, and then the inheritances that each company is taking with it, the past experience of entrepreneurial success.

3:46So these things compound in the health of the ecosystem in Silicon Valley, we were in a malaise in 2021, 22, like, you know, we've sort of lost the epicenter. It's now like a Zoom world. Everything's distributed in what's come back, rocketing back, and I think you feel it every day when we walk in these streets is that this ecosystem is so vital and so adaptive that we will, I think, in 50, 100 years still be the epicenter. And, okay, there's what about, you know, New York, Austin, and so I'm not taking anything away from those ecosystems, but there's, I think, real health and understanding what's behind the evolutionary power, the adaptive landscape.

4:29I think the same model I've spent a lot of time in board meetings on on 15 boards, I'm challenging my companies to think about this idea of you have an evolving organism. And there are mechanisms of natural selection or selection that are at work. And either they're implicit and you're not tracking them or they're explicit and you can guide them. And when you learn about evolution, you think about if there's maladaptive things like cancers that emerge and there's adaptive things that increase the fitness of the organism. So, one of the really healthy things I think I'm looking at generalizing Darwinism is to ask in a company, in Adventure Fund, which we can talk about.

5:11You know, are you in a adaptive pursuit of maximum fitness and maximum flourishing, or are you doing things that are maladapted? And this whole feel, I think, of what's now broadly called prosocial systems have sort internalize this mechanism of Darwinism so that it's actually applicable and useful and you can actually apply it to say, okay, how do you think about constructing a company and a culture that is maximally fit? To ask you about a couple of these applications, do you think in 2021 or whatever the malaise moment was, do you think that the barrier was actually hanging in the balance or do you think it just seemed like that?

5:49In other words, like, are you pretty sure that the next two Revolutions will also happen here. Is there potential even for it to be somewhere else? Our partnership went to China about a month and a half ago. And it's for sure happening there. But what's different in China is that it's less of a place. It's more distributed. So, Hengzhou, Shanghai, Beijing, whereas I think in this market, the US, the Silicon Valley still is the epicenter. And so I'm comparing the two because I think what's interesting is that the Chinese model, as I have understood it, is far more between group competition. So one of the things about evolution that you learn is that to increase the adaptive fitness of an ecosystem, it's important to have multiple groups competing.

6:42And then you identify which one was most successful and then they become, you know, they win. They, you know, you inherit their adaptations, then you start all over again. The Chinese have a dozen plus driverless car companies. They have in their model development, which blew us away when we were there, is that by dance and ten cents, they all have multiple teams pursuing varying strategies towards the same objective for video models for audio models. And I think I think that's a mindset in China that is something we can learn from relative to the Silicon Valley. You think about the pressures of multiple group competitions, so anthropic and open AI, while we're not competing for the same prize, there's a really good pressure that gets put when the proximity of those companies, they're here.

7:30They inspire each other. And so the density of startups in the ecosystem, I think, is a major variable. And if you look at the, what's the backdrop of the Silicon Valley? it's this, it's our world. It's it's it's when you go to the restaurants that's what people are talking about when you go you know bump into people on the street or or in the underlying fabric is so rooted in entrepreneurship that's not the case in other cities and so could a city emerge that that sort of evolves in that direction it's possible but then you have all this history 50 plus years of embedded know -how of highly efficient capital markets.

8:10Information that we were talking before, we started about how in the 1970s, the way information was exchanged was over a steakhouse dinner between, you know, corduroy, pan -wearing, old white men. And that's shifted to this point now where it's just this high velocity of transparent information sharing reputation and all that. So I don't know. I would have a hard time believing that we are dislocated, except if there was some new basis of innovation. So for example, if it's like there's this history of like the Silicon Valley is that's the land of the quick and the deck. Like we have vent markers to have a belief that like nine months from inception to shipping product was a high -correl it.

8:57Nine months are less to success. So this is the narrative that we're in the high technology business when it turns out entrepreneurship is more about leverage, about pace, about clarity and focus, than it is about deep R &D. Interesting. That may have shifted a bit if you look at the nature of the recent successes of large capital research labs. Yeah. Well outside the research labs, what you said there might be completely true outside of those research labs right now, like most application layer companies, I would say probably do fit what you're saying. Well, and I think that velocity has been part of this system here, which is that we, part of adaptive landscapes being healthy is that you plan an unplanned variation so that there's high variance.

9:44So lots of experiments with the, I mean, the same like we don't know, I'm up here until we get into the market and we shift something. I mean, why see, of course, has really been a great, like, just build it and stop, you know, get out of your head and into the world. I think that that culture here requires you to then have a tolerance for the failure that comes with unplanned and planned variance, which is that you accepted as like, okay, that was, I learned something, is tuition. And I think that the fabric, I don't know. So the 2021 -22, and there was this San Francisco socks and like, we have so many problems in the civil society here and there was an exodus, it's unmovable to places like Miami and taxis.

10:27And I think it misses something, which is Jeffrey West wrote these great books on that the cities outlive pretty much everything. They're probably the best idea that we've had as humanity other than maybe language and fire. Cities endure far longer than the average Fortune 500 company, which is usually dead in about 50 years. But cities can go for hundreds, if not thousands of years. And part of that, in the logic of a city, I think is embedded in the Silicon Valley ecosystem, which is the highly adaptive, responsive to outside forces, not planned. Like, the idea of a top -down model, but it's also not chaos.

11:05It's not total laws, they fare, you know, anything goes. And so there's a, they're an evolving organism, and we're just part of it. What's interesting is I'm listening to you talk about this is I also think that Silicon Valley slash tech, the way that it competes with itself, is in a much more communal way than other cities and industries. I feel like in New York finance, people would never share all their best ideas on a podcast or people wouldn't go out to dinner with their competitors and talk about what they're thinking and learn from each other. Whereas here, I think there is, which you touched on, There's simultaneously somehow like a respect and competition at the same time which almost seems like the healthiest possible Well, and this is the father.

11:49It's not to say that our ecosystem doesn't go off of cliff at times and I think we're We're struggling with of course in AI understanding where Where might it go wrong? I think there's a real real sensitivity to that and obviously debate between Optimus before which I put myself in that camp and and doomer's if you want to call them that But one of the big insights in the last few decades, just in systems thinking has been this idea of what explains the success of certain ecosystems and the failure of others. And Lynn Ostrom got the Nobel Prize in 2009 on this, what she described as the core design principles of highly adaptive function ecosystems.

12:31So she looked at things like fisheries and forestries. Things where the tragedy of the comments could destroy the resource. Common shared resource wiped out by self -interest, the individual actor at the expense of the group. But some of these ecosystems are flourishing. And so she came up with these eight principles, core design principles that to me are like, they're somewhat obvious, but they're directly applicable to our startups. And so as we serve on a board, part of what I'm trying to reveal is that like the Silicon Valley actually embodies the core design principles. So the first one is, you know, common shared identity in purpose.

13:06I think that here, like, okay, is it to get rich? Maybe. But I think that the underlying tone that I sort of find in most of the Silicon Valley, which is not necessarily a great thing, is a dissatisfaction with the way the world is today. And a purpose, a desire to have a meaningful impact by organizing against some objective that's not a net worth target, it's not a fixed object, it's the true infinite game, right? So this idea of like, when you hear that what gets as excited when Brian Chesky talks about founder mode is that activation of purpose to sort of fully manifest the possibilities that we have as humans.

13:43I think that is like at the center of the Silicon Valley, that's what we all go down to places like, you know, Big Sur, Estolan, and it's like, yeah, it's the same energy. It's the sense of human possibilities manifest. The other design principles are pretty straightforward, like, you know, fast in a fair conflict resolution, monitoring agreed behavior. So transparency, other aspects of this are equitable distribution of gain and effort. And so as you go down the list of these design principles, they're rooted in the Silicon Valley. And I don't think it's like a meritocracy, which I think is ultimately a fallacy, because there's no, how do you really think about that systemically?

14:22It's much more of an adaptive organism where we know how to cooperate with others. When it starts to go off the rails, there is an immune system in the Silicon Valley where we self -correct. Part of evolution, this is the thing which also gets the root of the Silicon Valley, is that there needs to be extinction. There needs to be over time as large organisms build. they develop internal pathologies and some of those are cancerous. And we, as an industry benefit from the creative destruction, that's at the part of everything. Every big company here is a target for the next generation coming up.

15:07And while we can celebrate the success of MATA and Google and Apple, like, we all know that in 50 years, they get eclipsed. But it's the people here that believe that that are doing it. And I think in other industries, there's something nice about the, well, you know, it's been around for 400 years. If you're at LVMH, that's an attribute. I don't know, like I'm in the business of like those are juicy targets. And you know, great that they had their day in the sun. They rode their wave to the top. But we want that next generation to come up. And part of the evolving landscape is that you have extinction events.

15:46And that there's some branches on the tree where we can say the common ant trustees, but we evolved past that. And I don't know. I mean, I think it's sort of the ethos here. You also sort of need the like meta big ideas like AI to be able to suck the talent from other ideas that were good, but not as good. Yes. And so you kind of also need like the talent to get released back into the pool to push broad things like AI forward without question. And I think that this does the impact if you take a biologist perspective, there's punctuated equilibrium, there's points in time where you have dislocations that many companies that take Google as a good example.

16:25There's long conversations about debates. Are they going to go left behind? Will they devolves these assets? You know, YouTube, not to mention the whole G Suite, all the information they have on users. and yet the dislocation of AI, which came from many of the researchers inside of Google. And I think what happens is that companies' business models are also in an adaptive landscape. And they find their way through sort of an invisible hand to a peak, to a maximum optimization, the internal logic, the invisible hand, as I say, of like, you know, we're doing this thing every day a little bit better, and then you're on top of that peak.

17:06And then one of the things we learned in these punctuated equivalents, you have a shock to the system that requires to climb down that adaptive peak, which sucks. And that's like business model terror, because it's like some innovators to learn the type stuff. Yeah, but it is an innovator's slime up, but it's a little different so far as it's not, yes, you deny the new thing. Intervator's slime is partly like to serve the high end of the customer base, which then leaves you vulnerable for something that disrupted below. versions of this to me are like climbing down to go back up is an out -of -body experience.

17:39And so I think we have a ton of respect for companies that have been able to look at what comes to mind, who has done that kind of thing. Historically, it's done by founders who have the courage to start climbing a new adaptive peak. I think the best example of that, we look over time, the iPhone, AWS, where there was a new peak that was not the core business model. maybe in the core culture of like integrated products or the case of Amazon operational excellence applied to a new adaptive peak. But I can't think of a great example, perhaps Netflix is one where there's a we're going to go down.

18:13Yeah, we're going to rack our margins. We're going to we're going to go into the valley in the shadow of death and try and come out the other side because the culture you build, the internal systems, the resistance is so giant. So so part of what's required and I think what we were living in the last 15 plus years is an incumbent's world. The super majority returns The fact that our incumbents or network effect businesses growing at 30 plus percent, not slowing down, is scary. And in Adaptive World where you want to have lots of variants, lots of experiments, lots of petriogeneity, you start to get to these modelless.

18:45And the AI dislocation is the first real structural shift in business model that I've seen in over a decade, maybe over 20 years. I mean, SaaS is arguably a different business model like it's a subscription base, but when you have a business model dislocation, then you get giant companies. I don't know if you'd agree with this way of looking at it, but sometimes I think about like QQQ index versus aggregate VC returns. It's just like a way to think about who's winning right now in commons or startups. My guess is over the last decade, probably QQQ is probably one I would guess I haven't actually looked, but for sure from a, if you take paper marks as fiction.

19:28and which I think you have to. In terms of liquidity, no question. It's been in incumbents world for probably 10 plus years. That changed starting in 2022. Dude, now you feel like startups are more equipped. If you think about who gets the value for me, I obviously, like incumbents and startups are both going to get some. But do you think startups are better equipped now to get more of the value when you look at them versus bang? Well, I have a strong belief that we will see three to five trillion dollar market cap companies come out of this that didn't exist before 2022. Open AI is one of them so they did, but the idea being that business model dislocation opens up this field again, I completely knew adapt with landscape.

20:13So one of the things that's fun to watch is that a lot of it's unplanned. Our companies, we went to China, one of the big insights that we took out of it was product management as we know it actually doesn't apply right now in AI. In a sense of like, we're going to go talk to customers, find out what their needs are, develop a priority, stack for the roadmap, get the engineers to build it. Instead what's happening is that this world of discovery put it out there, see what they like, respond to it in terms of being maximally responsive in product transformation. Manus is one of our investments as a great example of this.

20:50They laugh at the idea of a product roadmap because we go in there and say, what's the roadmap? I'm like, for today. Yeah. Because we're shipping every day. So the reason I'm showing this with you is that the volatility in what a technology this disruptive can do, but this much potential, with this much human scale impact, requires the kind of work that the startups are doing, meaning fresh eyes with, you know, deeply committed cultures where people are trying lots of stuff, no one's afraid, and some of it takes. One of the interesting facts of evolution that I keep coming back to this point is that if you look at speciation, and I think there's a good debate that we might have actually had a speciation event with AI.

21:32Yeah. I think there's an argument which the only, the negative of that argument is that speciation events tend to create a new in logistics, you know, a new leaf on the tree. This is like a new root. Yeah, but they tend to have a common ancestor who's not around anymore. So if you go too far down the path that we've created, we're an inorganic wife for the first time, it's possible that that looks back on us as the common ancestor, but ancestors the afterward one will go there. So the point of making though about if you get to a Speciation event 90 % of the phenotype change occurs in the first 10 % of the species life.

22:13Why is that interesting? Well, you look at the iPhone. Okay, so for the first 10 % of the iPhones life 90 % of the change of course like that's when the camera gets out on the front That's when you have video and then it sort of goes to an asymptote So we're in a zone now. And this, I think maybe it's a three to five year period, could be seven, who am I to say, where we're having radical variance. And what will happen is we'll look back, I think in 2040, and you blur your eyes and say, it all kinda looks the same like it did in 2030. But from 2025 to 2030, it's gonna look so different every six months.

22:50So this is all along the way to say, I think startups are optimally suited to go pursuit out. Do you take the view that if that rate of change stops tomorrow and I, that we would already just be able to kind of harvest insane gains from what's available today? Yes, but I think we will have taken 10 % of the path up the hill to the adaptive peak, meaning I think there's so much more that we yet to even imagine. And what's more likely, if you take my worldview of unplanned variants, it's more likely that we trip over it. It's more likely that we look back and say, oh, isn't that obvious? You know, we're looking at those fields from, I'm extraordinarily interested in the application of AI to the language of life through biology.

23:39And where all that go? You know, it's one thing to look at protein folding. It's not a look at the whole cell itself as being a digital, you know, artifact that can then be experimented with and then you look at an organism. Of course, we talked about coding and there's the core applications for today, customer support, all these things. They're all undergoing a very almost systemic now sustained innovation, but I think there'll also be a whole field so we don't fully appreciate. The thing I was blown away in China is that because they're so proximate to robotics and manufacturing, they're on an adaptive path with embodied AI that hasn't really taken off here.

24:27That likely means that there's, again, unimaginable applications in our life from like, you have somebody that does your laundry all the way through to the whole spectrum of human needs being. Yeah, an embodied robot seems like that would be sci -fi in an amazing way, but it does seem to me like It seems like an oddity inevitable. I just have no idea what the timescale should be on that Yeah, and then and then timescales linked to Ultimately consumer price points, you know, so you're gonna come in at that 60k I know you know Tesla has their version of this, but then you know, is there a PC moment there that we're gonna go through so But I think I think you could say Toby said this to us and I tend to agree from Shopify that if you stop today You'd have like 20 trillion dollars of economic value created to go be harvested.

25:15And we're not stopping today. But is the incumbent world going to be extinct or eliminated? It seems unlikely. I think with my sense is that we had three to five trillion dollar market cap companies, they're likely to eclipse just as the past generation did the current. Yeah. And it seems unbelievable today, given the scale, network effect businesses all is free cash flow. The one sort of counter to this, which I think is real, is that you know, it's it's a such a capital intensive, you know, game at the foundation layer. Yeah. That how does that then, you know, include the startup opportunity?

25:53And I think we're We're in every new investment asking that question, which is if you took the models and you projected them getting an order of magnitude better Does your startup opportunity get better or worse? Yeah, and unfortunately, I think for like over 80 % of them And it's like, it's over. Yeah, like they swallow your invention. And so for some, you want to ride that wave and you stay in front of it and say, no, that's going to be a point of force multiplier for our success and enable more. But I think that's a good debate. How about Darwinism as it applies to venture? And so I'm thinking about over the last 15 years.

26:29In 2010, there were a lot more firms that looked like benchmark does today, where it's small partnership, medium sized funds, You don't know about the frills, the platform stuff. And a lot of them went through some process, which you could say was an unhealthy growth. You could say it was like a healthy Darwinian type of growth. Maybe there's elements of both. But I'm curious how you've maybe taken benchmark out of it, how you've observed the evolution of venture as sort of an industry. Yeah. I'm happy to talk about it with benchmark as being an example. Yeah, my belief is that we're in an ecosystem that's nutrient rich and in nutrient rich environments that are faced with low selection pressure and I think Ventures had relatively low selection pressure in the last decade Not sure why you know, I think it's broadly from the liquidity standpoint struggled to outperform the NASDAQ but it got institutionalized as an asset class.

27:34The LPs were sort of like sanctioned through Cambridge's associate to have this allocation to it to these funds. And so new trend rates, relatively low selection pressure. And I think there's been a incentive, which maybe is the selection pressure to raise more capital that's very real in some sense irresistible. And I think the outcome of that is inevitable that you scale and some of that scaling will have been cancerous, some of it will have been highly adaptive. So what we don't yet have is the culling effect of the going back through and saying, okay, what is the, who gets who survives? What's what is the inheritance?

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28:14And I have a tonne respect for firms that have likened reason for what it's in like Sequoia among others that have scaled the capital base and tried to do it with a really intentional, what does this mean to the entrepreneurs so that they have more, more, you know, capital, more resources more. But obviously, you know, we have a very different philosophy inside of benchmark. And my view has been, we have at benchmark the most adaptive organism in the venture ecosystem. What's interesting about benchmark is it started in the mid 90s and it was the top performing fund of that era. Got lucky, obviously, eBay.

29:00That's all luck anyway at the end of the day. Then with a completely different lineup, benchmark had the top performing fund of social mode. We were lucky enough to be early at Uber, Instagram, Snap, Twitter. or crypto is not our thing, that was the next wave that created trillion dollar market caps. And I think the question for us now is that do we have with a whole new lineup, me being the last, we said last piece of wood on the ship Athesias that the continuity, the common ancestry to prior benchmark, to be a top performing fun. And for me, top performing is not largest fun, it's very simple, it's the largest cash and cash multiple the poll for early stage venture.

29:44We don't need to win because it's not a game where there's a winner and a loser. It's a, you know, are we able to get close to and be, you know, deep partners to the best entrepreneurs of this generation? Arguably, the best entrepreneurs so far have come out of foundation models. Look at your brother, the whole team at OpenAI or Daria on the team and Anthropic. It's our belief that the next three to five years, we will create multiple trillion dollar companies in our industry. And that's how we wake up every day and think about, okay, can we serve those people, those entrepreneurs to their success?

30:19Well the other big funds do that too. I expect so, but different models. Our ideas that we serve as close partners to entrepreneur for a decade plus individually close partners, meaning serve on the board, build a close relationship, be there with them in good times and bad. And I think that five plus or minus, so four to six equal partners at the peak of their ambition, of their relevance, of their capacity to serve, which means young. Honestly, I think it means late thirties to mid forties. If you go back over the history of entry, that's when John Doors doing his investment in Google or Mike Britzes at his peak.

31:04And so So our adaptive model has been different than large funds, which is that we've accepted the fact that benchmark is completely ephemeral. Like the lineup is completely ephemeral. No names on the door. It is designed to be destroyed from within and reborn, but the mechanism is the same. The adaptive mechanism is all those things we talk about core design principles, shared identity. There's clarity across all the partners in exactly what we're doing. Fast and inclusive decision making. The idea that each of us is an owner gives us a sense of autonomy, another core design principle. And there's not quality control and overhead and processes and there's no memos.

31:48There's no, you know, so much shows us the data room we tend to laugh and like, oh God, I have an example of this big comeback in Hauntus, but we invested in a company called page in Joshua said at the end of the process, he's like, well, you know, we're talking a lot of other firms and they've all gone into the data room and we want to cross this threshold with you. We feel this is the full potential partnership for us, but you haven't gone to our data room yet. And, you know, our LPs may not like me saying this, but I said, there's nothing good that can come from that. It's like, because I'm going to go in there and ask a bunch of questions that undermine the commitment you're getting from us, which is to say that you, Joshua, at Hey Jen, with Wayne in your team are building a generational company.

32:34And that I've seen what I've seen from how you've talked about the product roadmap, probably brainstorming about where you're going to go with the next set of releases and

32:43whether or not you're retaining a learning and distance training, you know, user that isn't the long -term goal for business doesn't help me. And I think so that value proposition is different to entrepreneurs and it's somewhat it's a Not a rejection of these other models, but I do think the nutrient rich environment that ventures been in has created Cancer as growth where and how I think that One of the things that the cancers need to thrive Is they need to hide from the immune system my sister is facing a rare cancer which he's been fighting and as today free of it And but it gave me a window and to just how Darwinism and evolution and natural selection actually applies much to our pathologies as they do to our well -adapted things.

33:27And so one of the challenges and I guess this is a question for women and partners is that they should be the immune system. But they've been very patient. And I think at some point there's a question of like in the same way that ventrilo -sanctioned as an asset class because it has all these spectacular possibilities. A semesthetic return, you know, a dollar can become $10 ,000. So if nothing like it in the investment world, truly nothing. But it also has been underperforming the NASDAQ. Yeah. Well, and I guess part of what's going on there is just like we're all felible humans. The LPs are also felible humans that have their own incentives that are not perfectly rational on a broader scale too.

34:08So there's probably a lot of play there that through the whole pipeline that makes the whole system hard to change. And I've been struck by Humans have an ability to turn sound of systems and devise systems And I've struggled and I've gone through this myself in my own life, which is sometimes You look at the incentive of startup and One of the common themes of the really great entrepreneurs is that they play infinite games not finite games This is the James Carz book who's some I remember that Patrick calls and Toby both recommended I read it. I'm talking about reading that book. I guess this is, and their attraction to that, one of the things I guess we sort of see in the great entrepreneur is that their value system is first and the incentives that sort of flow from that sort of support it, but they're not the motivating factor.

34:58It's not maximized in that word. And I think this ecosystem we're in has had, we've slipped a bit in that we've taken incentives. It could be incentives of the fees that come from a larger fund and then try to create values based on those incentives. And the values then sort of are rationalized as a way of supporting those incentives. I don't know that's conscious. I don't think people are calculating that way. But one of the challenges of venture business is the incentives for a limited partner, allocation to brand name funds, having good marks. Venture Mark historically, we keep our valuations that we report to limited partners at a fraction of the last round price.

35:37And it's an interesting conversation with the woman. So like, because they're being evaluated based on the private marks. So I think our view has been that we want to always surprise and delight to the upside and that we have some sobriety perhaps. And if you look over the course of benchmarks funds now 30 years is that we've been grossly undervaluing our private companies. not we don't publicize any of this, but it's part of its the value of surprise and delight. Don't count it, don't count your chickens until they've hatched. But I don't know. I think we're in a different kind of ecosystem, but ultimately there's this long duration of selection pressure put in venture.

36:18Long duration is that, you know, maybe they're going to get lucky. And, you know, as one of my former partners said, there's high barriers to exit in venture. No barriers to entry. I mean, you start with a phone, which is going to kick ass and it's going to be, I mean, know this because you have value system that I can see of caring to serve entrepreneurs of having a long game in mind and all that. But the barriers to exit are also now sort of stuffed into multiple funds with multiple commitments. And so, I don't know what the selection pressure looks like. AI may hopefully make that a relevant because we create so much wealth out of this that nobody acts to ask that question.

36:53Yeah. Who knows? I have a question that is going to sound a little ridiculous, but you said that But the thing you're optimizing for is cash on cash returns, which I think is probably how the game was always supposed to be played. And that was all, you know, I feel silly for even asking it. But because in recent years, people have felt no longer embarrassed to admit that there's other games to play. I guess I want to just ask directly, like, why is that the metric that you care about? You know, it's a fair question. It's honestly not the motivating force in what we do. It turns out it's the outcome that it should create, the motivating force.

37:30The motivating force is to be early and really close with an entrepreneur on an average of 10 to 15 years of commitment where we, in a way, represent the most unconditional support for that founder. I have too many companies in my career where the founders moved on, but I didn't. And I'm on the board of Docker, which has been around now for 10 plus years. And Solomon, who's an amazing inventor, running another company, phenomenal human being, just, you know, fatigue moved on. And I have other examples where it's not the goal, believe me. but it's the idea that we're not conditioned on, is it work here or not?

38:17Because if it's not working, we're going to move on. Means that we're better off early, better off with enough commitment that in success, you know, we're able to, because of that long -standing commitment, have achieved the compounding effects of a long investment. So if you're getting an early and it's con growing, and that's different than saying buying a stock or having a position and we've deviated from that occasionally and it doesn't feel great. Meaning we've made investments that have been relatively low stakes and not on the board, low commitment, but you made a lot of money from it. And it feels wrong.

38:56Why do you think that is? Maybe ask differently. That value that you're now, it's the highest ideal of serving founders, being their partners through thick and thin. Why is that the center of all of this for you. Yeah, I've done this job for enough time to have been able to reflect on what brings joy. You know, we get into a career here in this now and you'll figure out, okay, this feels good, but sometimes it feels good stuff wears off. And then, you know, kind of looking back, almost like, you know, the obituary ethics mindset, like what was durable, what was deep, what was profound and sort of move my soul and spirit.

39:33For me, it always is the relationship of the founder. But that is it. If I'm one of many, I get in the sense of like there's 40 people helping me in more money and like this is great, we get together once every six months, that's different than a close deep relationship. So the motivational factor for me, which is what I'll be doing for as long as I'm conscious being, is to seek out the most creative dynamic people where I can be an amplifier to what they want to do. Where the relationship they come in, they say, I have more energy after I spend time with that person. And we both do. And that's what I were into.

40:07And what I found also is that depth is a constraint. It's a constraint, which is that, you know, in the same way I think about our personal lives. Like why did we stay married? And why do we build these deeper relationships? Well, they're iterative games. And there's something about like, you know, the next year of learning and experience, you make new mistakes in a relationship, you discover new distance and new trains, So there's this like infinite possibility that gets manifest in a few deep relationships that I've found I can't achieve in broad scale Superficiality. Yeah, so it comes back to how do you build a firm that orients against that my partner sure that value That that strong desire to have deep personal relationships and We can ask the question.

40:50I'll ask it for you. Which is like, how what hand? You know, like what do we really do at the end of the day? Was Amazon gonna be Amazon with throughout venture capital or or, you know, I'm close with Toby, a Shopify. We got very close to working together. We didn't, and I had to look at that and say, you know, he was gonna be just fine with out of me. So I'm humble enough to say, and boneble enough to say, I don't measure it if like, as like, did this, there's a score card of relationship justifies existence in the same way I don't think of my friends that way. Or my wife that way, like, unbalanced, because I don't view myself as being, There's this great insight that I think we've come to recently, which is that intelligence isn't in your head.

41:34In your head is a 80 billion neurons that have been wired into 107 billion humans who've ever lived that have created a collective intelligence that through language and other things that are not you, but that are us makes you bright intelligent, creative, and all that. Now you have endorphins and hormones, all these things, but the idea that we've localized intelligence in our head, so a lot of this, this, they sound like an abstraction, but it's in a company while it is an individual heroic move and courageous to get to go down that path. It's always the network. It's the system. It's the entity that is created as the organism.

42:16It's not the individual. And so I feel the same way in terms of how I work with a company. It's like I represent a part of the system that should elevate, amplify, inspire, and it doesn't scale, which is the big sort of fisher between our strategy at benchmark and every other venture firm, which is that we've reconciled, we actually embrace the fact that it doesn't scale. And that hard constraint means that the value system we have of depth and relationship is really at odds with. Yeah. And specifically what you're saying is that this relationship doesn't scale. Like fundamentally, it's the amount of time that needs to go into the relationship to get what you're talking about.

42:58Yeah. That doesn't scale. Like obviously the venture business can, you know, empirically scale, but those deep relationships from a board member at the early stages, there's just not enough hours in the day, basically. There's a fixed constant. And then I think two other things which I point to the dawn scale. If you can, you could say, very large corresponds to that. It's like scale the capital and then scale the people in a way that's, and I think if I were running a large venture firm, I would think about it as a between group competition game. Like scale, I have 20 partners or something. Yeah, but I would do it as a, we all know that like five to seven people is the optimal size.

43:30So I would do like multiple groups and I have them compete with each other. That's how it's scale firm and it'd be total coherent because it would be consistent with what we know about multi -level selection, which is one of the big ideas out of, there was a book that was very popular. Actually, real quick on that, would you have the movie generalist or would you have them be verticalized? I would have them do whatever they thought would allow them to generate better returns and then compete got it. So super driven in. Yeah, that's a completely cool. That's right. Arguably, that's what LPs were doing.

43:59And then they stopped doing that. And they started putting it into a few large megafunds. We can talk about that. But so the logic of that that Darwinian model, multi -level selection is a really disruptive idea that people don't actually understand. So so right now if you look at most people in biology, they're subscribing to the idea of the selfless gene is that it's all about genetic replication. So docins wrote a book called the selfless gene is very popular. Why is that relevant to this? Well, because if you think about the world as a bunch of individuals or genes trying to replicate and that that's where selection occurs.

44:31You completely bulldoze over the fact of how organisms evolve, how species evolve. And you can't explain things like altruism. Like why would anyone ever, so there's these like in the world we live in, there's these two competing narratives that we're seeing today. There's on the one hand, La Jaffaire, you know, individual first, homoeconomicus. And that's probably what you learn when you study economics at Princeton. Right. Yeah. It's like, you know, Milton Friedman maximized your individual utility. The other aspect that you have, like, you know, top down, planned communities, it's all like, you know, systemic, you know, it feels like communism.

45:07It's a very extreme on the other side. And I think what we learned is that there's a third way, which is you could actually have selection occur at multiple levels. And the individual is part of a group. And the group is in competition with other groups, which cluster together to form Silicon Valley. or so. So if I were running a fund, I would not have one large organism because then you have then what makes sense is within that group to compete and win, you get individual selection, not group selection, and you get cancer, you get people who serve. The best example is if you think about monopoly, like if they make it real multi -level selection.

45:47So let's say like we're playing monopoly with four people at the table. The game is to win. So you try and maximize the amount of money you have in Monopoly. But let's say there's like five other tables here and each table has four people. Now there's a new game. The game is your table needs to have the most wealth after the four hours of Monopoly play, which people lose the wealth to live at the end of an awfully game. And if the game is no longer to beat your competitors, but to have your table create the most wealth. Yeah. That's the benchmark. Yeah. And if you think about the nature of a five person partnership who wants the table to be most full means that you have part place.

46:22I'm going to give you some of my stuff here so you can give me some of your stuff there and then the table gets larger larger. And the group that they just can't operate that way. Yeah. If you have 40 people playing good luck coordinating. Yeah. So what we do know about human societies is there's breakpoints and I've learned at a benchmark. We got to eight nine partners. It stopped being fun and something happened because there was this bifurcation of the dynamic. There were different subgroups. there's cultural feature. So I think the only way to scale fun by view is that you still have the fixed gun.

46:52So why don't I do that? Why doesn't Benford do that? Because I want to be one of the players in the game. Like I want to be one of the sub funds because to me the substance of the work is in scaling the entity. And now there's Shares of Critique, which is like, are we less competitive as benchmarks? Because we don't have all these other entities and all these other resources and all this. My answer to that's very simple, which is that you do references. If you find somebody who says that we're anything less than the most powerful, deep, transformative relationship, if you find that in our ecosystem that we work with, we've fallen short of erratic.

47:28What would happen if you said, I'm going to take everything I just said, but instead of leaving A's, I'm going to leave series C's. And now I'm going to just write four times bigger checks. I'll have four times bigger fund. I'm still going to take a board seat. I'm still going to make that promise. I'm just going to do it later. I don't believe that works for one reason. I've trained my entire neural net, cosmology, et cetera, for that early formative stage. And what you'll find as companies is that what you've done with 15 employees or less, you probably found this a lattice in doors free -turned -in.

48:05And the impact you have at the beginning at that embryonic stage and being in the dialectic and getting close to the sources of energy that led to that person to do the irrational thing called starting a company. If I'm there at that beginning and section stage, my capacity is to be there for the duration or infinitely greater. And yeah, I've committed, I heard table had 25 people and I invested, Twitter had 27 people. They were a little later. or, but I find myself as wishing, wishing that I had been there earlier so that the systems that got started that became pathological. I can't take credit for, I mean, that I would have stopped them from happening, but I would have at least felt connected to them.

48:48And so it's sort of like, why am I not a public stock? I could take that to the extreme of why not invest in public stocks, why not invest in, and there's something as you know that's so at that liminal state at the beginning, When we don't know, the other thing which I found is really good about being there at the beginning, Olam is my most recent example of this, but there are many examples in the history of technology, Twitter, Instagram, Discord, where if we're there at the beginning, we really made that personal commitment. We're in a position to let the entrepreneur go and be free of what they were trying to do that didn't work to do the thing that might be much more successful.

49:27And Olamo was originally called inferred .hq. They didn't love that. They was security for Kubernetes. My God. I mean, sorry. And then AI happens in public open source LMS and I don't know. By not being 30 people locked into a strategy, series C, okay, we have a financial plan. We just, we have so much more freedom in. I don't know. Maybe that's that's an incomplete answer, but it's certainly how I live it. One of the other things you said earlier is that you really see the game you're playing and the way you play as like a younger person's activity. Yeah. Not incredibly young, but you know, why do you see it that way?

50:04And like what have you learned as you've observed sort of, you know, 20 years of benchmark? Yeah, I found that aging occurs in all parts of your life. And sometimes aging makes you better because you have wisdom and perspective. Other times it leads to ossification. to sort of like, well, don't do that because back then we did that and that was a mistake. And so you start to harden yourself. And I think one of the greatest challenges of being in the venture business is to continually blow up ossification, sort of, to let go, to be more, to be less certain, to be more naive. And why has it you look at other venture compared to, say, hedge funds or Stan Druckermelner we talk about it being home with this giant.

50:57But the absent for node, which is I think a completely different species, it is, then the venture, and he would probably not ever want to be called a BC, it's true, his credit. There are very few exceptions. Venture capitalist tend to get worse after the age of 50. And why? And so you say, okay, well, is that because their networks have atrophied? Yes. Is it because they've become too rigid in their thinking and too rooted in past generational technologies, yes. These are all causal factors. I actually think the biggest one is ego, because entrepreneurs that are at the beginning that are by definition operating an uncharted terrain where past success and old people and all their their stories.

51:50They're not why they're in the game. They're there to create the new future. And so our ego's tend to give us the sense of like we know better. We've seen there been there done that and believe me, I have all those experiences of many of them that I could tell stories about, but in a way that blocks you from the fresh eyes and the sense of possibility and wonder. And you know, it's why I'm in my last chapter at benchmark because I don't think that our firm is the best firm on Earth, unless we average our age closer to 40. And of really committed, at meaning some 30 -year -olds, late 20 -year -olds, and maybe some 40 -year -olds, because our center of gravity at that point is maximally attuned to the entrepreneurial wave coming up.

52:34What I'd love to do is support those people, you know, my future partners, well, as a limited partner. But, you know, there'll be others, and I'm sure if you talk to my peers in their 50s, I'll give you a different story, but I find that it sort of runs a foul of the history of the industry, which is the sort of the fresh energy of a young partner, just enough experience to be helpful, and really where you are in it. Because you're meeting young to put on where they are in their life. And you have a shared fabric. You probably have playlists that aren't that different. You have tastes that have been shaped in the same forces.

53:10And I think that that matters. It matters for the depth of relationship. It matters for the duration, all those things that mean this is an industry. I come back to this that wants to go through creative destruction. But, you know, John Doer, Mike Moritz, these giants, my former partner's Bob Kegel, Bruce Dunlady, don't run our industry. And I love that. And they moved on with grace. And, you know, they still play a vital role in different ways. But do you, like, as you're reflecting in the stuff I love, do you experience it as like I wish that I could do another 20 years but I think it's like best for me not to, for the firm and its longevity and just the ecosystem.

53:52Or have you also had your own evolution where you're like, I've done this for a lot of years and I'm also gonna have new chapters. Like do you have an evolution of your own that matches it to it feels natural? Or are you pushing yourself away from holding on? I was given two big gifts. Coming to Pinch Far. One is the brand. The represented this sort of mysterious possibility, all those energies, the positive stuff that I loved about Benchmark when I was at Excel or before I even got an adventure business. And I was given the ethic of the equal partnership where no one lays any claim. No one has any purchase or write or ownership.

54:38Everyone of my partners, founding partners, Bob Kagle, Bruce Dunlavy, Kevin Harvey, raised their hand and said, it's yours. No residual claim on economics, no piece of the management company. I share this with other people in the investment world to like, that's crazy to the point of being stupid. I'm like, no, no, no, it's genius because what they've enabled is that I honor the same thing. So they answer a question completely. Yeah, I think the Bill Gurley who left most recently and MacColor, they raised their hand and said, it's time. And what a beautiful thing to have none of the drama, none of the, like, where's my this or where's my that?

55:21And so my answer to this question is that I'm going to point in my career. I love the job. I'll make a few more investments that'll get my heart and soul. But then I got to add 10 years to having new commitment I make and say, okay, then I'll be in my 60s. And there's a point at which like, you know, and more importantly, I think more vitally, I want the energy of benchmark to be centered just as it did for benchmark one. And then bench, the benchmark seven, which was the social mobile fun with Uber and Instagram. I guess the you being handed the keys in a certain way makes you I'm sure that in view to certain duty to do it the same way.

55:55Yes. It also sets an example for your younger partners that they're going to watch you do it a certain way. And then that's how they're going to do it. It's the gift I was given. And I really feel as a you have to be able to say, man, it's so hard to create that gift from it. It must be so rare for the first group to make that gift because I can see how if you're handed it, you're like, I need to hand this on. Yeah. But while it's got to be rare for the first group to not just say I'm going to hold these economics. Well, Andy, it rockcliff and Bob Kegel and I remember when Bob told us things like, you know, I now feel like I can do this because he wanted to feel firm was at the point where he could move on and not have it.

56:32Yeah, and he was roughly where I am in my life. And what a beautiful thing. And that's consistent with creative destruction. The ephemeral lineup of benchmark is juxtaposed to the non -ephemeral value system. The non -ephemeral structure of great partners to the, and I actually believe, again, in an adaptive landscape, we inherit, we evolve, but it's not to say we won't, like, benchmark will experiment. We've experimented in the past. We had a European fund, we had a Israel fund, but it's usually against the backdrop of a very constrained core ethic of what the firm is. One of the things I wanted to ask you about is Mark Andrewsson, when he was on the pod, talked about this analogy of like the sushi boat back in the day, and when he started Andrewsson, that he experienced a lot of San Tils VCs is just like waiting for the sushi to come down the line, which was waiting for the startup to come pitch them, and they would just like swing at the fat pitch.

57:30They didn't have to work that hard and that has gotten dramatically more competitive over time and he saw that opportunity and everything. You've been doing the business for a long time, both at Benchmark and prior. I'm curious if you've experienced truth in that. What has been different in your experience from that, how much more competitive does it all feel over the 20 years of your time here? You know, my experience has been no one at the beginning ever called me. there was no sushi boat, there was no picking of, you know, warm dover, typically not good sushi on sushi boats. It was always, and still to this day is for me, are you nurturing your sense of curiosity?

58:13Are you really activated and identifying not just like trends, but like, who in this ecosystem is, you know, many standards of deviation more exceptional based on how they're showing up perfect day. And not to me as a constant. Like, you know, so you read a lot, you meet a lot of people, but then you're in a meeting and you're meeting's not going so well because there's a lot of those in the venture business. And instead of sort of like tuning out and thinking about like, oh, what am I going to do tonight for dinner? Fold that back into, what can I do to make this an interesting meeting for me in this entrepreneur?

58:48I'll typically say like, you know, okay, well, you, oh, I noticed you were at strike. Oh, that's okay. You know, who impressed you there? And like, If you think about people you most want to work with, so you're constantly sort of populating your awareness with the extraordinary opportunity potential and to meet as opposed to a sushi boat. And then 99 % of the time you're reaching out. You're not maybe cold calling, but you're going through your networks to get, and yeah, actually this is really good because I'm doing this without experience, partners teaching me how to do stuff. So what is sourcing done really well look like?

59:23I mean, you just gave a good example of it. you're meeting with somebody who you were that impressed you. But like, what's the body of work in your mind of really good sourcing? Yeah. That's prime. Well, I've seen younger partners come up, uh, you know, we worked, you know, talk about Victor today and is a great example on their competing strategies for sourcing. Ultimately, it had to manifest to you. So I'll give you one strategy being the expert, not my strategy, but I did play that game for a while, an open source where you say, okay, here's an area that I know will create great opportunities.

59:55And I'm gonna get in front of it and be a thought leader. And that strategy in certain cycles and certain, you know, sub -sectors can be the right strategy, but it has one major risk, which is that great entrepreneurs are gonna be more expert than you'll ever be. So you can, you get me. And so who's a good example that Fred Wilson was a great example of being an expert on social. Yeah. And he was blogging, he lived it. He was authentic. and he's sourced in a way that Tumblr, Twitter, and Fred was there. That's a great source in Strathees in New York. So the second strategy, which, and these are overlapping, granted, is to be a version of what I would describe by a phone, to have an ability to see and cultivate your capacity to see extraordinary human beings.

1:00:47And I think we're all extraordinary. Yes, every snowflake is unique. PG said this once in a while, He's like, how do you do your interviews? You say, I do 41, 42 interviews. Why do you see why I was doing those interviews? And more than that, it's not so fun. But I know pretty quickly, Michael, what is it? And he's like, yeah, you feel it. There's an authenticity. There's the idea this person's not taking someone else's eye concepts and mashing them up. They're manifesting it. And it may not be the right thing they're saying, but you see it in the clarity from which they come at there. And they're fearsome.

1:01:20And so you feel like you can't control them and all these other attributes. So the second model, which I think is highly recommended for someone like yourself is to put yourself in a position so that when somebody you meet first hand secondhand or pitches you that you can receive in an instant, like that's different. How do you do that? So I think about my thumb when I met Evan Speagle when I met Toby and I didn't invest in Toby Bell, I felt it, I mean, I fucking knew. It sounds really hard to put the word, but it's not just taste. It's not like when you hear a musician play, you think, wow, there's something there.

1:01:59But my experience of this is I become, and I really think this is a common theme that goes throughout, even when I met Jack Dorsey at Walt this way. It's an oceanic feeling. As crazy as that sounds. But you say, when Evan said, I am motivated to do this because of what has happened, with social media has taken away people's capacity to share without self -awareness. And when you share with self -awareness, it constrains what you do because you feel like all those mechanisms that you get at age 6, 7, 8 of shame and ostracists, I want to give that back to people. And there is like, again, ocean feeling, this person, once he starts to do this, it's going to compound and grow.

1:02:41and I, by the way, it's so real because I can look back over that last prior year. I don't remember a single meeting and it's going to happen, dude. Maybe it's hindsight bias. We'll say, that meeting stood out. I mean, for us, it was Alex, you know, from scale who came in presented him and Eric brought a bunch of companies in that year, but when Alex presented, it was like, and the one that stands out, you should always do it. Historically, it will lead you to some of your greatest fail. Yeah. And some of your greatest success.

1:03:11But that's a other side is equally damning, which is the, it kind of makes sense. It checks the boxes. I like the numbers. So by the way, that, so this is the second to that. Well, if you pursue that, my model of venture investing has been that, which is, I met how he knew, and like, I knew five minutes and like, there's something here that is oceanic that I want to be there. And like, we build an energy together, because it's self -selection too, like you're not going to respond to everybody who's great. And I wish I had spent time with Parker, honestly. I didn't. You know, you know, you know, the third, the strategy, which I think is one that works quite well as a compliment to the other two is to be a business model investor.

1:03:56And I think there are people who've been extraordinary at that. My partner Bill Gurley stands out of a course of the industry of saying He understood marketplaces and the systemic Network effect that gets activated and to me that's different to being an expert because he was never an expert in like you know Marketplaces for take your friend random topic restaurants, which is open table He was a business model investor. Yeah among other things he did all the other Aspects and there's certain people who can say like so today what would that look like a business model investor today would say we're going to disrupt two -thirds of the economy is going to be completely upended by AI.

1:04:33Let's pick the top 10 % that are vulnerable to margin expansion to the use of AI. So we're going to start with accounting firms, real estate often. You put on the list and to me that's a different model. And how do you source in that model? Well, you're kind of systemically looking through that category. And you could do all three. The biggest gift I haven't mentioned was I took not gift, whatever, But I responded to an open source investment, J -Boss, Mord Flurry, because the person was sort of, yeah, thermonuclear. And that then landed me on the shores of open source in 2003, and then I did 20 plus years of open source investing.

1:05:15So it turns out, once you build a little practice area, it gets a lot easier. You see things that aren't visible to other people, but it all comes back to that same personal thing. You mentioned like, you know, in their, you know, Jack Dorsey, Toby, Evan Speagle, which, I guess, as I'm listening to that, is the, is the rarer, harder, more valuable thing to do to notice greatness when you meet those people, or simply to have met those people, period. In other words, are there fewer people who could see greatness if they met that cast of characters, or are there fewer people who could get into the room with that cast of characters at the right time?

1:05:52It's a good question. and it gets back to the sushi boat. The sushi boat isn't full of Michael Torello. The sushi boats, if they're the sushi boats, are filled with the people around on that typically. So what I found is that people who have that density of excellence, of like, they're known. Yeah, like people don't meet Sam Altman and walk away inside just none of them. No, they meet an expert. And so you have to have a nerve, you're in your network for lack of a better term. Innovate your life with people who are likely to bump into those folks. And if you do innovate your life and then encourage them to tell you about them.

1:06:35So the fact is you're likely going to have to reach out to that individual. I remember meeting Michael Torell and like, Ditz is pretty fucking obvious. Six minutes in, you're like, okay, there's 40 coding companies. is this and that, but there's one person who has this clarity. Totally. And you just don't even have to finish like the five minutes in the meeting you're done. But then it's clumsy because you're like, you want to, it's a relationship. So you want to have a two way, you want to have a, you don't want to just say, oh my gosh, yes, you had me five minutes in because I think the next thing is it's one thing to be extraordinary.

1:07:08It's the others. Can you be amplifier for them? Yeah. And do they come out of the meeting saying like, oh, I want more of that. Yeah. And or Brett Taylor, who obviously are very close to you. Speak to him for 30 minutes, you know, you're not talking to a regular person. I met Brett five minutes in 2007, John Lilly, who is an awesome human, introduced me. And he's like, you got to meet Brett. That's a good example of like, I innovated my network. I mean, John knew that I was responsive to those kinds of people. At the time, he was at Mozilla. So John sent me, I met Brett. I'm like, yes. Like, what do we do?

1:07:42He became an entrepreneur residence. And this is before Google had built an immune system to stop good people from leaving. So I think I... Okay, so then you meet these people somehow. Then you're like, wow, this person's special. You met young Patrick Callison and like the rest of the world, you realized it's a special person, whatever. Now what? Like, how do you, what, what have you learned about convincing those people to work with you? I mean, obviously, listening to you talk, I can hear a lot in sort of the way you talk about partnership with you and I'm sure that's like a big piece of it.

1:08:16But like, are there any generalizable learnings you've had about one very simple thing? And I made a lot of mistakes early in my venture career when I was insecure. I still am, we all are. It was understanding, deeply understanding how could I be an enabler in amplifier? A positive force that's deep and real. And the mistakes I made early on was I thought that was throughout the produce. Let me tell you about this thing I learned about. And I learned that that wasn't something that you have the right to do until you've earned it over many years of seeing things and calibrating the way they see the world, the way you see the world.

1:08:57So the single most important thing, which I focus on early on, is deeply understanding what this person is trying to do. And if I really understand, not at some superficial level because it's a hot deal and we're all tempted to those momentum go do it, but understand it. The purpose really, for lack of a better term, not the objectives, the purpose. And to meet the entrepreneur at that point and then go further with them and to say like, that's interesting, but do you realize that there's another vista on the horizon? And so if in a way they feel real and deep understanding of what they're doing, Then there's trust.

1:09:37I love the answer because it's like the best sales people ever worked with that, you know, lattice and software sales in general. If you ask them, how do they do it? The first thing they'll say is, well, you have to be a really good listener. Yeah. And you have to see what your customer really wants and what they care about and what drives them and what are they afraid of and, you know, what do they need to accomplish? It sounds like the fact that you started with listening, that seems like that's pointing at the right direction. Yes. And then I think in a good relationship, there's tension. It can't just be saying yes to whatever they do.

1:10:09And so I think you have to, after you achieve understanding, through the dialectic, substancefully expand their thinking. And I mean, it could be around something as simple as, when do I hire the VPU engineering? Or how do I think about building a pro -social organization where it's high functioning at scale versus pathological, like most big companies. But you meet them at the edge of their understanding and then advance it in a way that they feel like, oh my gosh, I'm a better entrepreneur. I'm more likely to achieve success, but even at a higher level through this relationship. And it doesn't always work.

1:10:48There are cases where you try to do that in a fall short. And you know it, I'm really okay. One of the beautiful things about Ventures, it's never going to be a winter takes all game. We have a heterogeneous ecosystem of models of people and to recognize if you're forcing it, it's not for me. There's certain people who I know I'm not going to name names, but I'm like the great investments, but that would not have been a good relationship for me. There's others where it breaks my heart because I think that's the kind of person that, so my haunted, you didn't get to anyone ventures as long as I have, you have a list of like, oh my god, I shouldn't be allowed to practice because I didn't say yes to Toby and as an example and that haunts me.

1:11:31There are those that for whatever reasons like they wouldn't have activated me. Well, I feel like that one from the way you've been talking about it sounds like it haunts you because you feel like you would have really enjoyed the relationship too. It would have meant the world to me. Still we have relationship we talk we hang out and visit him in Toronto as much as I can. Yeah, no, but I know you mean where it's like there's certain companies even you know I'm so early into this but that I'll meet and I'm like that's a great company Yeah, and I have no way to help that company and so I shouldn't really force this yeah Oral see you know a different lens on the same thing is there's investors like you know when I spoke with the node Yeah, who I'm like this is a brilliant person and he is able to see things that I'm not gonna be able to see and so that's just a different type of thing where you can respect that kid.

1:12:20Even when I was hearing you talk about the thing that drives you of the relationship, the node would say something that I think is sort of like equally aspirational but totally different, which is like the technology. Totally. And that's cool. Yeah, it's just different. And I think he has built a system totally aligned with what motivates him. I've tried to do the same. And I think benchmarking it in bodies that, but then I'm also faced with the reality that There's this beautiful Buddhist self -imulation sacrifice that I'm about to go through, that we go through in the venture business. It's sublimating that and then finding a new form, but knowing that benchmark contains the hat value.

1:13:01And then there's this thing in the venture business, formal. And it's an awful thing. It's productive because like, oh my God, that's happening. I didn't see it and all that. And then it's an anxiety. And I would tell you, that's the one thing that I'm looking forward to letting go of. That etches you. In the sense that it's constantly your responsibility when you wake up to say, if the next Michael Turell gets going, what's not acceptable is that you didn't spend time with him. If you're not a value system fed, if it doesn't, okay, like, you know, and I don't even think like getting the investment wrong.

1:13:31Who cares? It's missing that opportunity for a deep partnership. Maybe it's like a closing question because we kind of talked about how to see great companies maybe winning sort of the last part of the job and I think this is probably very sort of central to you in benchmark is the sort of North Star of being a great board member and what should that relationship look like when it's done at peak performance and maybe if you can give the North Star of what that relationship is when things are going really well and then what's the North Star when things are going well. Being a great board member starts with this beginning commitment and we talked about it just really understanding the purpose and motivation of the founder.

1:14:15And if you're rooted and you're grounded in that, you serve that. And the organism that gets built that the board sort of, you know, is interfacing with carries the ambition of the then team, right? And the purpose and the motivations and all that. And so often, as you get going, that runs into trouble. You know, boards have these different roles. There's governance, there's advice, there's being a source of accountability. But ultimately, what motivates me in a board is when I see companies get oxidized with the stresses of being in the market, of scaling, of growing, of dealing with customer pains and product issues and team issues, the first ethic I have is to deoxidize them, to stay close to and proximate to the source of joy.

1:15:03Why do they do this in the first place? Because what we were talking about is not a rational thing to go start a company. It is, it's a eating glass, it's suffering, it's many days, weeks, months of feeling like you're on a groundless existence because there's no certain decent startups. By definition, that's what makes them so dynamic. So first thing that I think I have is to stay close and proximate to the purpose of the business because that is the sorting function. That's why we do it. Then the role I think as a director, you play and I'm about to go to a board meeting is to really have done the work.

1:15:35You do the pre -reads. One of the things I insist, and this is a bit of a crotchety old venture capitalist, hate slides, I think it's really healthy for companies to do pre -reads. For them, more than is maybe even for the board, to lay out for thinking in a crisp way, because I find that is a vehicle to make everyone better. So, do the work as a director, means you do the pre -read, you really understand as best you can, that gives you context. And then in the meeting itself, in the board dynamic, you're sort of looking at three layers. And for a lot of a better way of saying this, it's simplistically the strategy.

1:16:15To me, that's the purpose. Like, why are we doing this? What's the point of it? What are we doing here? And you can lose sight of that pretty quickly. It's part of it. You probably don't want to change that every board meeting. That's one that gets updated, but it's broadly, strategic and kind of. There's structure, which is what's the organism that you're building to manifest that strategy. and then there's staff, which are the people that then inhabit that organism. And oftentimes you flip the order and you're talking about people and not talking about structure or strategy. So as a director, I think the best we do is to sort of get clarity.

1:16:49So it feels like, okay, we're aligned with our purpose. And so when there's dissonance in the system, which is what a board member I think should hopefully identify, you can illuminate the awareness of the team and the leadership at the CEO to navigate around that. But a big part of that starts by listening and saying, okay, what's keeping you up at night, what are the things that haunt you? And so as a director, the North Star is, they come out of a board meeting. When we've done our job, they feel more energy, more aware, more conscious. And if I did anything at the end of the day, more curious.

1:17:22I love it. Well, I gotta let you go to your board meeting. This was amazing. Could have gone another hour. Thank you so much for this.

From the publisher

Peter Fenton is the longest-serving full-time partner at Benchmark, a renowned venture firm known for its artisanal approach and deep alignment with founders. Over the last two decades, Peter led investments in Twitter, Yelp, Elastic, Docker, Zuora, and many others. He also achieved one of the rarest feats in venture history in 2014 when two of his investments, Hortonworks and New Relic, went public on the same day. More recent investments include Sierra, Ollama, ClickHouse, and Airtable. Peter is considered one of the most successful tech investors of our time and is an incredible person to learn from.

We covered:

Darwinism and Silicon Valley

Who wins as a result of AI

Embracing things that don’t scale

Sourcing and winning motions

Being a great board member

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Timestamps:

(0:00) Intro

(0:23) Darwinism and Silicon Valley

(5:38) Silicon Valley vs everywhere else

(12:09) Highly adaptive ecosystems

(19:40) Who wins with AI

(26:22) Applying Darwinism to venture

(36:54) North Stars in venture

(42:22) Embracing things that don’t scale

(49:51) A young person’s game

(57:10) Sourcing methodologies

(1:07:50) Convincing founders to choose you

(1:10:56) Not a winner-take-all game

(1:13:35) Being a great board member

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More on Benchmark and Peter:

https://www.benchmark.com/

https://x.com/peterfenton

More on Alt Capital and Jack:

https://www.altcap.com/

https://x.com/jaltma

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Email: friends@uncappedpod.com

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