#58 - Miles Grimshaw

4 Sep 2025 · 1 h 8 min

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LaBossiere Podcast Episode #58 - Miles Grimshaw

Overview In this episode of the LaBossiere Podcast, host Alex LaBossiere interviews Miles Grimshaw, a Partner at Thrive Capital. The discussion revolves around investment strategies in technology, the transformative impact of AI, and the evolution of startup dynamics.

Key Concepts Discussed

Introduction to Miles Grimshaw

  • Partner at Thrive Capital, an investment firm focusing on technology-enabled companies.
  • Recently closed $5 billion in new funds; launched Thrive Holdings for long-term investments.
  • Significant investments led by Miles include companies like Airtable, Monzo, and recently, Cursor, which focuses on AI-assisted coding.

The Era of Doing

  • Transition from merely digitizing information to AI systems that perform tasks for users.
  • AI is viewed as a driving force behind startup innovation and market disruption.
  • Example: ChatGPT's evolution from a search tool to a system that performs tasks on behalf of users.

Startup Capital Intensity in the Age of AI

  • Increased ease of starting a business due to lower operational costs and advanced tools (e.g., AWS).
  • The role of AI in reducing engineering and design costs, leading to more accessible startup environments.

Rise of Trillion Dollar Companies

  • Discussion on market dynamics that lead to the emergence of trillion-dollar companies.
  • Strong market growth and sustained innovation by founders are key factors.
  • Example: Stripe's growth from processing $1 trillion in global e-commerce in 2014 to now processing the same amount as its own revenue.

Silicon Valley as an Idea

  • Shift from a geographic hub to a broader cultural and intellectual framework that encourages innovation globally.
  • The importance of authenticity and creativity in founding successful companies.

Physics vs Biology-Style Investing

  • Physics-style investing: Adhering to fixed laws and principles; seeks to identify immutable factors influencing markets.
  • Biology-style investing: Emphasizes adaptability and evolution; recognizes the dynamic nature of markets and industries.

Business Genetics and Compounding

  • Evaluating companies based on their potential for growth and the ability to adapt products over time.
  • Concepts of authenticity, high ceiling potential, and strong business genetics as crucial metrics for investment.

Multi-Product Strategy

  • Importance of companies being able to diversify their product offerings early on.
  • Companies that expand product lines early tend to fare better in the long run.

AI Application Layer and Defensibility

  • Transition from basic AI models to sophisticated applications that add significant value.
  • Emphasis on building full-stack teams that can leverage AI for creating differentiated products.

Venture Capital as a Capital Instrument

  • VC is appropriate for companies aiming to accelerate growth and innovation, particularly in dynamic markets.
  • Examples of successful companies that thrived without VC funding (e.g., Microsoft, eBay).

Thrive Capital's Investment Philosophy

  • Focus on partnering with a select few founders for deep, meaningful relationships.
  • Emphasis on delivering impact rather than merely managing a portfolio.
  • Continuous learning and adaptability as core principles in their investment strategy.

Key Takeaways

  • The need for innovation and adaptability in the age of AI.
  • Identifying authentic and ambitious founders is critical for investment success.
  • Understanding market dynamics and being open to new ideas can enhance investment strategies.
  • Concentration on a select number of investments allows for deeper support and partnership with founders.

Closing Thoughts As technology continues to evolve, the conversation between Miles and Alex emphasizes the importance of creativity, strategic foresight, and genuine partnerships in driving the future of innovation and investment in technology.

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Transcript

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0:00What looks late to some by absolute size is still really early relative to their product ambitions and the financial performance that will come from the genetics of those products. in those markets. When we first invested in Stripe in 2014, global e-commerce was about a trillion-odd dollars. And now Stripe, in their public letters, has talked about processing a trillion-odd dollars. So Stripe, 10 years since we first invested, is processing just it as a company the scale that the whole market was.

0:40That is Miles Grimshaw. He's a general partner at Thrive Capital, an investment firm that builds and invests in internet, software, and technology-enabled companies. Thrive recently closed up$5 billion in new funds and also announced Thrive Holdings, a permanent capital vehicle to invest in, acquire, and operate businesses for the long term with the strategic application of technology. During his time at Thrive, Miles has led investments in companies like Airtable, Monzo, Benchling, Lattice, and more recently Cursor, a code editor built for programming with AI, which you'll hear us chat about.

1:17That team raised a$900 million round at a$9.9 billion valuation in June. What strikes me most about Miles is what a student of his craft he is. He'll often reference some anecdote from a founder's life or partner letters from a family office you've never heard of. And he talks about investing not in the context of placing bets, but of partnering with a small handful of people who meaningfully inch the world forward in some dimension. We spoke about trillion-dollar companies, Silicon Valley as an idea, business genetics, practicing scales, and Swedish house mafia. This is the La Bossier podcast.

2:14um i just want to talk about the state of software for a minute um one of these larger tectonic shifts happening in technology is enabled by ai today is what i've heard you describe as the era of doing. We've gone from, you know, searching with Google to ChatGPT, searching for you. We aren't at this point yet where AI can do everything for you, but directionally it seems pretty clear where things are headed. I think an interesting question here is what that world looks like. So from an investor's seat, how do you think about that future and the types of companies that not just remain defensible, but really thrive in that new world?

2:51No pun intended. Yeah, yeah. So Thrive, we're really focused on being the most meaningful partner to category-defining companies, the few very special companies that we think can define those categories. And changes like the magnitude of AI, which we think is a really big change, obviously, can upend industries, can upend what's important, and create that space for new companies to come in and define the category. And as you alluded to, this idea of moving from digitizing to doing is a lens we're looking at a lot of experiences through, and it's right here today. You mentioned search, which obviously I'm sure everyone has habituated into, but Google digitized a lot of information or in many ways made searching that digital information easier.

3:45But I had to do the searching. I had to do the navigation. ChatGPT searches for me. whether you use it in normal mode or you use deep research, which is even more profound of a search for me experience. Take coding. I used to use, I was a mediocre engineer at best, but I would make fun apps on the side and use the idea yourself. I code it. I go to Stack Overflow and figure out that. Now with Cursor, Cursor will code for me in big ways. Driving, navigation, Google Maps, digitized a map of the world. Amazing. But now we have products that will drive for me. They'll just take me from A to B, Tesla and Waymo.

4:26And so I think as we look at new companies that are starting in the market these days, this idea of them doing more, doing the work for the user, for the business, I think is a profound paradigm to invent with for the future. And when we've met teams, we really gravitated to spending time with full stack teams in many ways. So over our journey, we've partnered at the model layer, the foundation model layer with OpenAI in a big way, which is manifesting in product experiences like ChatGPT and more to come. and we've invested and been lucky to partner with vertical model companies. So one in robotics, physical intelligence, and also in biology with CHI and isomorphic where the same paradigm of large models that are able to understand the world and understand how to navigate the world, et cetera, but apply to the verticals of biology and physics with robotics.

5:30But then in the application realm, on top of all of that, we've still focused on teams that are full stack, that can manipulate that intelligence in crafting a great product experience that does more for the user. Kars is obviously a prime example of that. They work with the foundation model companies, but they've also built some of their own models, like Tab in the product that everyone knows and loves and uses every day. and even another one, Doji, which is a fashion discovery app, consumer fashion discovery app. They're building diffusion models where you can try on clothes, try on outfits.

6:05And the team there, one of the co-founders did a lot of that work at Google and now is building a startup just to focus on bringing that to light in a very magical product experience. Yeah. So, I mean, talking about AI more concretely here, it's driving down the cost of engineering, as you spoke about. of design, of day-to-day operations. Tangibly, the cost of creating software itself is trending toward zero. In your mind, will the best companies become just less capital intensive, or are they just naturally going to expand to take on more competencies as a result of that shift? Yeah, I think we've seen the cost of starting a startup and the ease of it decline over time prior to even AI.

6:49So if you look at AWS and what it enabled for new companies, new startups in the 2010s to get created, Dropbox didn't have to run all of its own infrastructure to start. Stripe didn't either. That's made it so much easier than if you started a company in 2000. Likewise, you have things like RAM for running finances. You have things like Rippling for running HR. All of these have actually, in many ways, made the friction of some of the operations of a company easier and less intensive that has facilitated a great boom in innovation as well so that more ideas can come to life. If you look at just R &D, engineering costs of that, it was never actually the biggest cost for many companies.

7:36You look at the top 50, top 100, top 200 tech companies, public tech companies. R &D is almost universally last in sales and market in those companies. And so getting distribution, moving customers, moving businesses onto your product was always one of the most intensive, capital intensive aspects of the business. So I think engineering, writing software, getting easier is in some ways a continuation of that trend line for startups in terms of ease. And I'm excited for two things. One is I think it can open up software reaching new markets. It can really expand those markets. Software has been a sort of impenetrable, opaque language that you have to learn.

8:24And over the last 10 years, if you go look at any university, more and more students have taken CS, so more and more people are capable of writing it. But it's still opaque and hard and esoteric. And so I think that getting easier in the same way that getting a Delaware incorporation was made easier thanks to Stripe Atlas is going to open up software, reaching more pockets of the economy, more work, and be profound in that way. and I think can also make great companies able to do even more. And so the best companies that have worked on that distribution, the sales and market intensity, will be able to more easily build the next product and layer in more companies or adapt the product to more bespoke scenarios.

9:07And so I think we will continue to see market expansion from both those in a great way. An investor I really respect who is actually a former member of the Thrive team once told me that his biggest learning over the last decade of being an investor was knowing when to make the obvious trade, right? So mega cap tech stocks were one of the best places to invest over the last decade. And there was very like little thinking that you had to do to arrive at that conclusion. But as investors, we're prone to not fully understanding, it seems, how dominant market leaders can become. And people are often more interested in looking clever than making money.

9:45What do you think changed in technology markets from a macro perspective, anything else that led to companies with these trillion or multi-trillion dollar market caps? Even though much of this is inflationary, it seems like market winners have dominated in an even more commanding fashion than anybody could have expected. What's the fundamental shift that led to these outcomes in your mind? Yeah. It is amazing. When I first started the idea of who might be the first trillion dollar company was a question. Now the question we should partner is who's the first$10 trillion company. So in the last 10 years, it's an order of magnitude bigger for the potential winners.

10:25I think there are two big things here. One is extremely strong tailwinds. And then secondarily, the sustained inventiveness of the founders in many cases of these companies. And so to the really strong tailwinds, these markets, The depths of these markets, I think, are bigger than many imagined and still growing in a very impressive way. I'll give you a fun example that is very visceral to me. When we first invested in Stripe in 2014, global e-commerce was about a trillion dollars. And now Stripe, in their public letters, has talked about processing a trillion dollars. So Stripe, 10 years since we first invested, is processing just it as a company, the scale that the whole market was when we invested.

11:22I think the cloud businesses are going to be some of the best businesses of all time. Combined, you have, I think it's about$200 billion right now of revenue growing in the 30s. Take Azure, I think it's 80 odd billion of revenue growing high 30s right now. These are just massive, massive markets. Even Facebook impressively the other day has, I think, half the world's population almost as a DAU and is still growing that single digit. I think it was percentages year over year. It's just the whole world is truly there. So there's a really big secular tailwinds. But what's not to be overlooked in that is the sustained inventiveness of the founders of those companies and how hard and how impressive what they've done to not just earn once, but keep and keep advancing that market leadership and growth.

12:25And so you can look at what Mark obviously did in the mobile era for Facebook to stay in a commanding position. It's not heart surgery on a company, but it's pretty hard evolution that you have to go through. Famously saying things like, I don't want to see a product, Mark, unless it's mobile first. I recently I've never had the pleasure of spending time with Larry Ellison but but was recently in many ways studying the company speaking of sustained inventiveness him capturing the AI wave and he's 70s I think 80s I actually should look that up has been at the helm of Oracle for a long time, obviously, having founded it.

13:14And at his investor day, he was asked about vector databases very specifically, which is only startups are really kind of competing in. It is a small amount of revenue, if any revenue at all in the grand scheme of things. And he not only knew the names of one of the startups, but had pointed opinions as to why an Oracle database was better on this. and to keep up that level of inventiveness and competitiveness and focus at the helm of these is really impressive. And I think along with the massive tailwinds has allowed these companies to compound in a really special way. I think, though, I would emphasize, though, it is a great time for new startups in that one of the canonical questions is, can the startup get distribution before the incumbent can get invention?

14:12And the incumbents are in no way complacent. Look at what everyone has done in the last few years around AI. But at the same time, the magic that compute created right now is so compelling that the startups are getting distribution really fast. Case in point, OpenAI, obviously, with ChatGPT. I think as of this recording, high hundreds of millions of DAUs they've announced. Look at Cursor, which is an amazing story of four 24-year-olds, first company with hundreds of millions in revenue with no money spent on sales and marketing even. And so the greasing of the wheels of distribution for the startup's invention is really great right now.

15:01And so I'm excited for the competition that they are giving the trillion and who knows which one next$10 trillion company. You know, when we're talking about technology markets more generally, I think an often overlooked background shift here is that of demographics. If you look at the U.S. over the last near century, you find that specific industries tend to soak up a lot of the best talent across society during different moments in time. So through the Second World War and the Apollo program, it was government, you could argue manufacturing had its moment in finance. And it seems like more recently, technology has kind of taken the helm.

15:36And what you find is that over the last 15 years, doing a startup has gone from this path reserved for like misfit, otherwise unemployable people to like a pretty consensus career path for Harvard graduates. And of course, the other side of that narrow slice is that you now have, well, I think what I've come to believe quite strongly, which is that Silicon Valley has gone from being a place to an idea. and that you have these large swaths of the global economy interfacing with technologies in ways that they haven't meaningfully done so over the last number of decades. Do you buy that? Like, on the other side of this massive inflow of capital into private technology markets, is what we mean when we see a technology company changing now, too?

16:15It's an interesting question. I personally do really think that the act of creation here is still really critically important, the act of inventiveness. And so I think it is as great a time as ever for the authentic inventor, not just the business school graduate. And I think that authentic inventiveness, that misfit sort of characterization, but really that desire to create that broad-mindedness starts early and venture is a fantastic resource for powering, amplifying, supporting the ambitions and dreams of such people. And I think that starts early. So I have the fortune of working with Michael Trell, who founded Cursor.

17:10In high school, he was um fascinated actually with with deep learning uh the first uh alpha go uh case study had sort of come out lisa doll move 37 and everything else and he was sort of fascinated by these self-learning models and felt that classical gameplay chess uh go uh was almost not challenging enough of an environment that deep learning should be more profound than just learning the rules of go and so created this gaming competition this coding competition called highlight um that became a global competition um and and ran that for many years and so was thinking about training models in many ways and how to do reinforcement learning and self-learning of these models at 17 in high school.

18:03You can take Patrick Collison, who in his teens was on Lisp message boards, which is where he first met Paul Graham. And Paul Graham met him before he'd ever gone to college, had him come to Harvard Square. And there's a great story he tells online of meeting Paul Graham at, I think, 16 years old and sitting in the coffee shop before mobile phones waiting for him reading his book um you know his his desire to create and invent and build started early and and and has now obviously manifested through stripe in many ways josh meyer who we partner with who founded chai which is building a a bio model to be able to do de novo protein design and much more of a type he was in a stem cell uh research lab one of the very few that high schoolers could access in high school he had written some early papers in college that actually the open ai team found themselves and actually reached out to him and recruited him to open ai and he was at open ai i think it was about 2018 2019 time frame um uh working on starting to work on could you apply these models to to biology actually and so this the the opportunities for that authentic uh inventor that that personality that profile.

19:25I think the valley, I think technology as a, the sort of technology ecosystem is amazing for that to shape the world. I do think though your idea of Silicon Valley, so to speak, as an idea, not just a place, I think is really real. And I think one of the great in many ways cultural exports so to speak of uh of that has been this relentless focus on like customer obsession and sustained innovation and i think um amazon in many ways has probably shaped that for uh a lot of the world because they have touched a lot of the world's and markets commerce uh and shopping touches a lot of markets so you know every strip mall in america every brand in America and the world has felt, in some sense, the weight of Amazon's focus on customer obsession and invention, even the technology industry, which maybe it felt, software industry, which maybe it felt immune from that because it was just an e-commerce company felt that obviously through AWS.

20:30And I think there, there's a book actually called Working Backwards on Amazon's Culture, which I think is a sort of fantastic book and in many ways a great encapsulation of management and leadership that I think is important in a very competitive market to embrace. And I think is an idea that is permeated beyond the valley in a powerful way as an idea that came from a place, but now is default. Let's shift gears for a minute and talk about investing. You have this interesting lens on your work of drawing a distinction between physics-style investing, starting with these fixed laws in the world, versus biology-style investing, treating the market as this living, constantly evolving ecosystem.

21:25Break that down. How do you think through that? Where did this start? Yeah. It's a fun lens that I have to think about almost two different ways to look at the world and go about the world that applies to investing. And on one side, you have that the mindset of a physicist, which is trying to divine a set of immutable rules to operate by. And on the other side, you have the lens of a biologist, which is thinking about evolution and change and what is well adapted to today's environment. And as the environment changes, what will be future well adapted? And I think that curiosity for change in the world and being well adapted to the future of it is the lens I think about looking through.

22:13And you almost imagine being, you know, Darwin stepping off the HMS beagle and seeing new species for the first time and just being amazed and excited by them. And then wondering why that's the case and is that really well adapted and almost be a species that will endure for a long time. And you could think about this just every day in AI. That is change. That is market change. You have intelligent computing and the environment of what is best adapted for that future paradigm, what customers and businesses are getting in demand in that paradigm and that system and that ecosystem, that has changed.

22:54And so you wonder not what are the rules, but what's well adapted to that. And just being curious and excited by that is also just a joyful way and a privilege to get to doing the job and see out there. And so you see character AI, and regardless of being an investor or not, it's just fascinating that people are spending that much time talking to another character. You go look at Cursor as it's taken off. And it's just amazing that with no marketing whatsoever, consumers are flocking to such a product. That is clearly genetics, new evolution that's really well adapted to today. And so that's just exciting.

23:36And it was when we think about investing, I think approaching with that curiosity and wonder of the changing world order and what's best adapted for that change is a dominant mindset a slight variation of it i think about especially at the early stage is um there's this great scene in uh the ad jordan movie about uh uh you know michael jordan's uh early journey and i'm no sports fanatic so i'm gonna go i'm sure a lot wrong in this but there's this scene where the scout is trying to figure out who to sign and is watching footage and uh most people who looked at this footage of this um uh i think it was a college championship game and not really paid much attention to michael john even though he scored the game winning shot because the uh his teammate who passed him the ball was the star and was sort of known as being the star and the scout ended up looking at this differently than most people who looked at it And they realized that Michael was very relaxed and took the shot immediately.

24:43So he knew that the ball was coming to him. It wasn't a last-minute Hail Mary because the main player was got him. He knew that Michael was a freshman, and he knew that that coach doesn't really play freshman. It was one of the first freshmen that coach had ever played in their career. And he knew this was a critical game for the coach because it was a championship game. I think maybe one of the last games that the coach would actually coach. and so you don't play a freshman in a in a hail mary play uh in in a you know critical moment and and what other people had overlooked in there you saw as a moment of um genius at the beginning of an amazing star and so it's not the biology lens per se but you're looking trying to look at things always with an open mind always um uh not just in the same pattern as everyone else with that curiosity and excitement for that spark of greatness.

25:36So I think that sort of just persists the way in which you go out into the world. When we talk about this idea of business genetics, this concept of business genetics more concretely, you bring up that analogy that house cats or tigers or basketball players and your regular person are pretty similar, if not identical, when they're young. So telling the difference can be tough. So when you're evaluating companies, particularly early along, there's this set of questions I've heard you outline, which is, can we compound inside a customer? Can we compound externally in a market? And what allows us to compound layers of product potential?

26:15Can you give me some context on these and more practically how you approach them when you're looking at a business at the earliest stages? Maybe we can use Cursor or something as an example here. Yeah, absolutely. Um, when you meet a new company, a seed stage at series A company, um, you're seeing a fragment of their imagination in that product that they have today and that team that they have today, you are seeing a tiny manifestation of their dreams and ambition. And you're trying to project forward many years into the future. And so that idea that tigers and house cats look the same as kittens or five-year-olds, quite frankly, probably play basketball fairly similar and it's hard to discern them.

26:57That Michael Jordan moment in freshman year, you can start to see greatness, the spark of greatness on display in a really special way. You're trying to project that forward. And the sort of genetics, the inputs that one that I think about a lot and that we think about out a lot of Thrive. There are a few folks. One is authenticity. A second is high ceiling. And a third is strong business genetics. So to take those maybe in order. Authenticity, in some sense, we covered a bit earlier with the idea of that authentic inventor, Patrick Collison, Lennon Lespin Building, Michael Terrell, Tate Cursor, Michael Terrell have been working on deep learning and reinforcement learning in high school have been thinking about this.

27:47And the reason that authenticity and that depth of care, that depth of ambition matters is because the most exciting, the most scaled, the best successful companies, they will keep layering on a lot over time to a point of the sustained inventiveness early of some of the very best leaders that have led to the truly massive outcomes. You need that authenticity. You need that depth of, um, of, uh, love of it, of ambition to thrive in those moments. Because when you get to some of the first mountaintops in that journey, from there, you can see things that you can't even see necessarily, or you can't imagine fully taking on when you're just starting.

28:32And so the ability to build and, and invent more in year seven, eight nine ten and have the motivation to do that is when the true greatness the true category defining ends up happening and so you're trying to imagine that in this the person in that moment from today and so that authenticity um that that idea of almost um i really like as a frame of reference like life's work is really powerful and we talked a little bit earlier about josh meyer working on a stem cell research lab being at facebook and open eye working on buyer models and now doing that as an independent company. It's his life's work.

29:07He's been thinking about this for 10 years already, and he's not even 30, I think. The second, I think, that's really important, almost as genetic potential, is the high ceiling. And sometimes I'll frame that as the company will almost struggle more from indigestion than starvation of ideas. I'm imagining in five years, let's assume we're meeting the company, I'm imagining five years in when we're doing a board meeting, when we're catching up over dinner. What are we talking about as product talk? What are we talking about as product roadmap? And if that journey is still rich with ideas, almost to the point of indigestion still, there is a long, long potential ahead.

29:51Amazon, yes, started in books. But if you go look at some early Bezos interviews, the ambition was never just books. There was a long indigestion of what to tackle. and so I think that is powerful to building the very best companies because it allows you to layer on more and more and more obviously in opening up other markets but also making the core even stronger for that business which adds defensibility and strength and then I think the third idea authenticity high ceiling aka product indigestion long product arcs lots of depth the third one is really strong business genetics. That's sort of vague in many ways, but we all know that a retentive product experience, a product experience that doesn't require maybe as much sales and marketing to it, a product experience that has natural stickiness, a product that has a data mode that maybe will improve it, a product that has an ecosystem that will build around it, those will lead to better business performance.

30:55It's less competition, lower sales and marketing, you'll have retentive customers, you won't spend as much the next period, et cetera, et cetera. And so you don't know all of those early on in a product, but you can imagine the product in a category of what it would be like. Take Cursor, coming back to your point of Cursor on the business genetics. People don't want to switch IDEs willy-nilly. There's an amazing moment in time for AI where a new, wholly better product experience can emerge from the old classical ID. where it codes for you to the doing error. It is worth switching for that. It's this tool everyone lives in every day and habituates to.

31:32They don't want to run around trying the next one every week. So it's a naturally retentive product. There's natural ecosystem elements around it. And then businesses are going to pick one predominantly for their ingenuity, maybe two, let's say. But there's not going to pick many because it's going to be trusted with important data and the like built into the workflows of the company. And so I'll synthesize in some sense with Akasa. You have the authenticity in that, for Michael and Abundance. You have, in their case and Akasa's case, a long roadmap of development, lifecycle evolution that it can impact, right?

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32:18It's writing code for you, testing. They now have bug bot on PRs. There's a lot to the development lifecycle to writing the world software that they can do and work on, many aspects there. And very strong ultimate business challenge, very sticky product, a product that can get better. The leader's product can get better where product depth will compound. And so you see a small team of five, six people in the beginning with a few users, And you're trying to imagine what it can become, how much it can compound. And it's going to look the same as some other startup in some sense. At that point, it's hard to differentiate.

32:57But you're thinking about, in many ways, that genetic potential unexpressed to grow up in over the arc of time. To that earlier point on dying of indigestion, this sort of fear that after the first product crests, the organization can't absorb a second or third or fourth act. something I learned from an investor I really admire or his his sort of recollection at least is that companies that go multi-product tend to do so early and those that don't do so early tend to never do so at all I've heard you say something similar I think it was Lattice that began its second act so to speak at something like five million in ARR how do you know if or when to go multi-product and that's a bit of a broad question but yeah I think that whoever told you that is absolutely right which is i think the um the companies who do go multi-product um and in many ways is in the genetics early even if even if unexpressed obviously um not not realized um spacex obviously famously has starlink now as a second business they were thinking about that a couple years in you had to get rockets that could land themselves to make deployment of satellites cheap enough and have a strong enough cool business to do that but they were thinking about that and actually made the first few highs on that um very early on lattice we were at a few million of revenue when we laid in a second product hubspot which you know is a great public software company started in marketing but laid in crm a couple years in um sometimes these things also take a while to play out you come back around to them uh square had its first wallet app i think it was about two years in didn't work out square had to grow more come back around obviously that's cash app uh many years later but it was in the ambition it was in the eyes that that that those founders um that team early on and i think when um there's a danger obviously of of sometimes trying to do too much too fast.

35:05And I think momentum is really important. Small amounts of scattershot progress is not really progress. You need the, to use a rocket analogy, you need the first booster system to really work and to get you into orbit for the second one to be impactful and take you further. A few boosters all in the wrong direction. You didn't really go anywhere. So I think the momentum on the core is really important. And a momentum on the core does allow and does empower in many ways having the bandwidth, having the potential, but it has to be there in the founders to dream of that second, third act. And I think building that into the muscle, the strengths of the company early when that first boost is really working is really, really powerful.

35:55Okay. There was this narrative not too long ago that the vast majority of value in AI markets, whatever that means, would accrue to the base model providers of the world, right? Your Open AIs, your Anthropics, your Googles, and so on. And that anything built on top of them was sort of on thin ice. it seems like you saw something different, which has become quite a bit more obvious as of late. But as we move from, as you were talking about earlier, software that helps you work to software that does the work, defensibility in a business shifts too. I've heard you talk about this as going from co-pilot to command center.

36:29But how do you think about building out moats in this new generation of AI-enabled businesses? And how do they make that transition from co-pilot to command center. Yeah. Our investing has gone on the journey in some senses, the market has from starting with the base models and now partnering with many great emerging application companies. And as we focus on this application layer, we think there are a few things that are important that we've looked for. The first is we talked a bit about the full stack teams. We don't think that just being an API call to the underlying model is enough. And so I think we saw that in some of the marketing tools in the first wave.

37:16They were a thin wrapper on top of the foundation-based models. But I think that shaping that intelligence into a breakthrough and differentiated product experience is really powerful. And so Cursus, as we talked about doing that with some of their own model works doji's doing that uh with with the diffusion models obviously the vertical models chai are doing that there but even rogo's working on um directing uh the intelligence with its own fine-tuning rl and the like and much more to come for financial queries really complex longer running financial queries and workflows where the product experience is manipulating the intelligence and exposing the intelligence to get the best product experience and so we really think full stack teams in that sense are important.

38:02The other is that the experience that they come to market with is a really magical experience, is a, what I sometimes think of as a can't unsee it experience, which is once you've been exposed, once you've seen it, you're not going back. Once cost is code for you the first time, once you've written a Waymo for the first time, once you've done a deep research or financial analyst career for the first time, like, yes, some days you will be doing it the old school way, but like you really, you can't unsee how slow you're being, how inefficient that is. And so the ability to deliver a can't unsee it experience to this moment in time, like you can get distribution fast on that because it is such a breakthrough.

38:46And that that product experience a bit to the conversation we were having earlier around great genetics, that is a high ceiling. There's going to be a lot of depth to that, which is it's not just going to deliver you simple marketing copy as an API call, but it's going to be a holistic workflow. It's going to integrate with maybe the rest of your dev cycle or take on parts of that. It's going to change not just a piece, but holistically command center, how you do a lot of the work. And then lastly, as an ingredient that we think is important to the application layer companies they can pace the race these teams can move really fast um there's a there's a ferocity to their ambition because um everyone is trying to win here and so i think these full stack teams that can deliver that the first holy shit experience um that can really move at speed of shaping intelligence into a product experience and and meeting customer demand which is it's great when there's so much demand.

39:45It's also hard to sometimes serve it really well, right? There is a lot of demand so they can meet the moment in that way and keep sending the pace of what the product capabilities should be and market leadership and adoption. It's hard to do. And I think will lead to these breakout application layer companies that we're starting to see in Cursor and Rogo and others. You know, on the investing side, common wisdom tells us that Startups often have two types of teams, those that get from zero to one and those that get from one to 100. Some say the same is true for investors, right? That someone can't be great at both seed and growth and that they're fundamentally different skill sets.

40:27You seem like a walking counter example. You're primarily focused on early stage, but how do you think about the lens through which you look at a company at seed versus one doing hundreds of millions of dollars in revenue? It feels like quite a context switch. It's hard, but focused on being great at it every day. And I think there is a juxtaposition there. And as we build the team at Thrive and support each other in being our best selves, we really think about being analytical dreamers and combining that analytic side with the ability to dream. and when you meet an early stage team, if you're all analysis, no dream, you're probably gonna have a small outcome.

41:16If you're with a late stage team and you're all dreams, limited analysis, you may have a disaster. At the same time, there's the challenge of not doing something early can be very costly. Doing something late can be very costly. And so there is a marrying of these that is hard to get right. But that's a muscle in some sense back to our genetics. The environment we want to have create genetic adaptation inside the team at Thrive is that of being great at it and pushing ourselves to become great, to be able to do both, to be those analytical dreamers. And we want to be great because we think we can be the very best partners to founders when we do that.

42:03And by focusing that way, we don't want to just find and support a great Series A company. We want to be a great company. And the same way we just want to select and invest in a great Series D company. We want it to be a great company. And I think the very best founders think that way. They're not thinking about how do I get a good Series B. You need to pass through that gate sometimes, in many cases, to be a great company. But that's not the goal. And that's not our goal when we partner early. And so I want to tell you something we partner late. It's because this company is still a fragment, even of its ambition.

42:40And in some sense, it's still an early company. And I think that analytical dreaming, when you bring it to early and growth companies, really allows for hopefully a great unique perspective, which is when we partner with the early companies, we want them to go far, not just fast. We want them to build a really strong team, not just win the first customers to get a Series A. We're imagining what it's going to take to write the S1 with them. You're not trying to be premature on those things, obviously, but that's what you're aimed at together, building that strong company. And at the late stage, as we were talking about earlier, the very best companies, the ones that are that next trillion-dollar company, they're sustaining their innovation.

43:27they may go down so to speak to go up they may struggle with building acquiring the next product line that's messy and hard to work through they may be working on a stripe with stable coins or vlad were thinking about a credit card for a while and and just because you haven't cracked it yet doesn't mean you want to give up on it and having a partner who yes could think about what the business looks like today and do the spreadsheet exercise and everything else but actually can keep the purpose of that company alive in their work with them, can keep supporting the investment in that, in their second and third acts, and the dreaming of that, the soul of that company alive in its inventiveness, and fan that flame, I think for the most ambitious founders is the sort of partner that they want.

44:16And so we really focus to be the best partners, the very best company is the one that will be category defining. We think no matter what the stage, you have to combine this analytics and dreaming. Silicon Valley, if we're talking about just the state of venture as a whole, has probably self-servingly told us that raising VC is the best way to capitalize any company. Many of the greatest companies, Microsoft, Dell, eBay, WhatsApp, MidJourney, more recently, were bootstrapped early on. In decades past, that's kind of just what you had to do if you wanted to run your own company and not be ousted by investors.

44:52But the dynamic has changed and capital is so abundant today that this isn't as much of a problem anymore. In your opinion, when is VC a suitable capital instrument for companies and when is it not? Yeah. I don't think everyone should necessarily take venture capital. I think those are probably great examples of cases that maybe didn't need it and are better off for not having taken it. I think it can be powerful in two ways. One is when you really want to try and pull the future into the present. This is easy to understand if you think about all the customer acquisition costs that typically go into building a business.

45:38You know that that product can deliver great value to the customer, but it costs something to go and acquire them and to onboard them and the like. You want to, in some sense, pull forward what would otherwise be organic growth from customer profits as a limiting reagent at the rate at which you can growth and almost borrow from the future to take market share, win market share, when you have to invest today to reap the rewards over time. I think the same can happen in product development as well. There's a scale of which you can probably invest in R &D based on customer profits at any point in time.

46:18And if the surface area and the market change is vulnerable and open to more inventiveness, more disruption at that point in time, you want to pull forward from the future of what would otherwise be customer profits at that moment in time. and use them today to take on those initiatives that you plan have really high rates of return. And I think in times of change, the chance, the opportunities for really high rates of return on that invested capital is very high. And so borrowing to take that market share to invent that future is, in some sense, people would say venture capital is expensive. It's much more expensive than debt.

47:06But like it's absolutely worth it because the returns of on that invested capital are very high. So that's, I think, one lens. There's another that parallels that but is easy to understand in a different lens, which is there are just some endeavors that are going to be a while till they are profitable or take a lot of money. And I think that is in many ways more classical, like very risk taking venture capital. Can we invest in a way that clears the hurdle in many ways of this change in the world being achieved? SpaceX might be a prime example of that. OpenAI has a certain amount of that. There's just a lot that has to be built to realize that opportunity.

47:51Even Monzo, which had the fortune of serving on the board of, a bank is capital intensive. Ironically, as you grow, you need more capital in the bank for regulators. We had the fortune of Josh founding OSCO, which is a health insurance. You need a lot of capital sitting there to have the regulators, to have a customer trust that you're good for the insurance. It is important that you have that. And so there are these bigger endeavors that are also capital intensive in those ways that have extremely high returns on that capital invested. Monzo now serves over 10 percent of the UK population in a couple of years as a challenger bank.

48:33Oscar's an incredibly impactful health insurer. Obviously, you can look at what's happening with SpaceX, et cetera. And so I think those are areas that almost the beauty of classical venture capital is coming to bear in really exciting ways again right now. And people should not shortchange funding those. And in some sense, if everyone tried to bootstrap, we wouldn't have all of these. We would not have Starlink. You know, we would not have the incremental competitive health insurance. We would not have the competitive bank. We would not have Nudge, you know, which is going to get to work on ultrasound, you know, therapy and more.

49:18It seems like Thrive was able to tap into a couple core truths about technology markets that really allowed it to win. One, that a generalist lens towards investing could really be a forcing function for focus and that you could win while investing stage sector and geo-agnostically. And two, that the enterprise value distribution or the extent to which monopolies or market winners dominate those markets was underappreciated and that everybody else was structurally undervaluing and underconcentrating into those market winners. What else do you think I'm missing? And as the fund grows larger and the capital product evolves, Are there any core beliefs about the world that you think it's going to lean into?

49:56I think those have been two very strong truths of Thrive, generalist and multistage. And the reason being that technology tends not to move uniformly through sectors. and there are moments in time where certain industries are more vulnerable to change. The ACA emerging makes healthcare more vulnerable as a case study. Mobile being the important form factor after social has gone and wired up makes referral and mobile acquisition easier for financial services. Even Plaid as an enabling layer for account authentication is actually an important prerequisite for some of the fintech being able to grow as fast as it is because it makes onboard easier.

50:54And so some of these things take time to work through their industries and being able to be sector agnostic has enabled us to work with the companies that will define those categories as those categories have turned over, have been disrupted, as amazing founders have come into with their authenticity, the depth of their ambition to shape it. And so if we'd stayed in social network investing, you know, we had the fortunate partner with Instagram and Twitch very early on. And if we'd have stayed just focused on social network investing, we might not have done anything else since. And so it allows us to do what we want to do, which is partner with the category-defining companies.

51:43And so we have to move across categories with them. the other is being stage agnostic. And I think the element there is twofold. One is the thing that you highlighted is that we would do what otherwise people might think of as late-stage investments, and we'd be doing them very early on. Even in some of our very first funds, one of the largest investments we made was in GitHub, when about$2 billion was considered a very late-stage investment, And we thought that was still early in collaborative coding and the role that GitHub played in the arc of cloud infrastructure. And we've continued to do that.

52:25And I think our view is for these very special companies that have a high ceiling to them, indigestion as possible, founders with, long arcs with ambition. what looks late to some by absolute size of the magnitude is still really early relative to their product ambitions and the financial performance that will come from the genetics of those products in those markets take stripe as we talked about earlier today processing now the same size as the whole market when we first invested but i think what is equally as important is um a huge focus So still most of us still spend most of our time meeting early stage teams, teams of two to 10, 20 people just getting going.

53:13The first early set of customers who are just embarking on their journeys, because those handful of teams each year that we are fortunate to end up partnering with for a really long period of time at these periods of tectonic change, which AI gives us, all the ones who will define, go bend those next categories to define them. And so as we have become fortunate to be able to lead some big rounds in companies that are so early, we have just as much focus on the two to 10 people just getting started that are going to shape the future. You know, Thrive as a firm talks a lot about being the most meaningful partner to its founders.

54:03What does this actually mean in practice, right? There's a sort of a spectrum of belief sets here from just giving people the capital and getting out of their way to being there in total lockstep, both of which have their drawbacks and benefits. But in what ways have you found yourselves working with founders? I noticed some level of intentionality, even in the words that you use. It's not a bet or a deal, but a partnership or a commitment. How does that materialize in practice? Yeah, we model our investing after the nature of the relationships we want, which is to be really concentrated. And so we're very concentrated in the number of investments we make so we can have a depth of support and relationship with those few teams.

54:47And you point out words. I think it is really important. Venture classically says that you're not putting chips at a roulette wheel. like you're committing to the success, the full potential and doing everything you can to realize the full potential of that company who's taking you on as a shareholder. And it's a high trust and total fortune to get to do. That's a commitment. That's not being at Vegas with some chips. And to that end, to support, we invest a lot and have amazing colleagues here at Thrive who focus on what we call impact, not portfolio services, but we call it the impact team because they're not there to just respond to services, respond to requests, though that happens, absolutely, but they're there to impact those companies that were partnered with success, impact them on recruiting and find the next great executive or the next great engineer or the next great recruiter for them, work with them on marketing, and comms and storytelling.

55:53We even have some engineers and designers on the team. We have colleagues who spend time on finance so that we can step in and be a key part of them in tough times and good times and denting even those. I have some fun stories. Monzo, which we mentioned earlier, I had the fortune of being on the board of, being a loss-making bank when investors pull out funding, not us, but some other parties, pull out funding because COVID happens and regulators are worried about runs on the bank because hopefully COVID is a fear-inducing moment and a loss-making bank in a fear-inducing moment is not necessarily a recipe for success.

56:44There was a huge set of demands on that company. from capital raising to the lease structures that we had for the business in the market to regulator kind of management and comms around this moment in time. And many people from Thrive stepped in, and we probably had three calls a day with different people on the Monzo leadership team, from the CEO to the CFO, helping out. Another one, when GitHub had interest for acquisition, one of our colleagues spent a lot of time with the finance team there because they wanted to keep it small, working through model questions and structuring and everything else with them.

57:38So good times and hard times are here to be able to step in. And the only reason we can do that is because we don't make that many investments so that we can be concentrated in that support. As we start to wind down here, Thrive has this really elegant, I think, mantra of being concentrated in both people and ideas. If you could distill down the few ideas in work and life that you take the most seriously, what would those be? It's a fun question. one I think I've I talk about with my siblings actually which is be passionate about what you're working on so you'll work really hard and I've loved the the really multi-faceted challenge of trying to build amazing companies from the product work of that to the team building work of that and getting to do that with the founders that we work with.

58:42I've worked a day in my life, but I've never really worked a day in my life in that sense. I can fill all of my time with it because it is just so great. And so be passionate about you once you work really hard. I think to the ethos of team, Johnny Ive did a great talk with Patrick Collison recently. And one of the things he said really struck with me and I think about with my partners here at Thrive is, you know, really care for the people you work with because you'll be vulnerable to really listening to them. and when to our point of being a being that biologist mindset being curious for that spark of greatness um really caring about our team our partners such that you can listen to everyone's unique perspective to get to the very best decisions together i think it's just a magical a magical thing and so i really i really feel that and i think um as an ethos uh without johnny's words we've thought about in the culture and the team all along.

59:48I'd like to lead in to this next question with an excerpt from a section in the old Nomad Partnership Investment Letters talking about Amazon. You shared this like a long time back and it was kind of a nice little excerpt, so bear with me for a second. It goes, my mistake in not recognizing that these businesses share similar roots might be termed by psychologists as a framing error. When looking for an explanation to a situation, the brain tends to latch on to what can be easily found to frame the situation. And if what is easily found is also vivid, then the brain stops looking for another explanation.

1:00:21I had gone looking for what I thought ought to be there, a vivid smoking gun, such as a brand name, a location, a clever reinsurance contract, or a patent. However, there is no a priori reason why a comparative advantage should be one big thing any more than many smaller things. Indeed, an interlocking self-reinforcing network of small actions may be more successful than one big thing. What about venture, right? Like in an environment with, let's be honest, so many dollars and so relatively few category defining businesses is sustainably out competing as an investor or as a firm more about doing a few big things or a million little things.

1:01:00It's a great excerpt from from the Nomad letters describing Amazon, I think, in large part.

1:01:12What's powerful in that, that's sort of not quite said there in many ways, is Amazon was all about breadth of selection, price for the customer, and delivery speed. I think were the core three, I think. and the letter there talks about taking light bulbs out of the vending machine to save on electricity costs at the distribution centers which is going to be able to drive down price which is going to be more value to the customer and so a thousand tens of thousands I think even in one of Bezos's letters I think he talks about the idea of like a thousand things they've done in that past year that have laddered up into selection, price, delivery, which is ultimately value.

1:02:04And I think thinking about that adventure, for us, it's to be concentrated in the very few, we believe, category-defined companies. And we're always thinking about all the many little things. We don't have as many little things as Amazon does, obviously, but all our little things, laddering up to making that possible. That's everything from the impact team, being able to have the bandwidth to support the companies in recruiting and marketing and finance and everything else. That's on the investment team, making sure that we keep our calendars free enough that when that two-person, that five-person team gets in touch with us or we get in touch with on a dime, we can be there working with them.

1:02:54The number of times this year that we as an investment team have had Sunday afternoon calls talking about an investment or talking about a portfolio company and working through something together is plentiful. That's a cultural thing. It's a small thing that ladders up into being able to be really fast, being able to be a really great partner to those teams. The ability, I mentioned Monzo back in the day to be able to step in in a tough moment for firms. You know, we anchored when some prospective investors walked in COVID, like we stepped in and we supported them. And now they're the 10%, 15 % of the UK population bank.

1:03:34And so all of the things that we think about are constantly refining or in service of that singular goal for us in a way in which I think is true for many companies in a way in which I think the nomad letters in some sense brilliantly articulated of Amazon in that letter. People who excel at their crafts, I think you often find are students of its history, but also have some method of sharpening the blade. I think it's Tyler Cowen who has this great question he likes to ask, which goes, what is it you do to train that is comparable to a pianist practicing scales? What does that look like for you?

1:04:16I wish I had more scales, cheap music to practice with along the journey at Thrive. We've just learned together. In many ways, there's this great clip of Swedish House Mafia being in the recording studio producing. I think the song was One. and you just watch it evolve. Like it starts and you're riffing and you're trading thoughts and you're tweaking something. And it's so beautiful. And then you get the ultimate creation. And I think it's not solo practicing scales, but the group practicing scales, I think is a really powerful way to improve and hone one's craft and get better. And I'm fortunate to get to do that with an amazing group here at Thrive over 15 years now almost, where we didn't necessarily have sheet music from anyone else at the time.

1:05:25We were all building this together. We didn't have careers that we'd come from from anywhere else. But we were in that studio. This room we were recording in was the entirety of the office in 2013. and we'd often be here at 10 p.m. at night all together riffing, trading ideas. Our investment in GitHub came from a late night, 10 p.m., being in our studio, so to speak, together where we'd had the fortune. I'd been really excited to partner with some of these developer services. So Segment was one of them and Mapbox. And I said, why not GitHub? It's the ultimate developer tool. and off we went pursuing that.

1:06:10And so I think as a group, that's a really powerful feeling and a way I love to practice and get better, so to speak. Miles, I have one more for you. It's the same one I ask at the end of every interview. So inside or outside the scope of anything we've talked about today, what should more people be thinking about? Whatever they like thinking about. it's i don't know it um there's the where's the world going versions of those questions i think um uh there's it's a time of such amazing change from um to novo protein design which is crazy that we have to the best tutor you could ever imagine in chat gpt to um coding agents to GLP ones to stalling.

1:07:09So you can get internet connectivity wherever you want in the world to a car that can drive you. Uh, my son, I have a almost four year old son. And sometimes when he gets in the, when we get in the car, he says, data, come sit with me. Cause he doesn't get that. I have to sometimes be in the front of the car cause we've taken Waymos together. And so it's just an amazing time. And I think with this technology across really many industries, which I think is what's powerful about this moment, because it's so fundamental of a change. I think in many ways it's bigger than what the internet was, which allowed us to wire up more and disrupt middlemen.

1:07:49It's almost more, I think, like what electricity electricity is in terms of its impact to be able to change. It's fundamental in that way. And I think whatever someone is passionate about, they should be thinking more about that with a how do I use intelligent computing as part of it? How does intelligent computing change what I can do there, what we can think of and dream of doing, et cetera? Because I think such a wise swath can be vulnerable and open to change. This was so much fun. Thanks for having me. Thank you for coming. Really great to do.

From the publisher

Miles Grimshaw is a Partner at Thrive Capital, an investment firm that builds and invests in internet, software, and technology-enabled companies. Thrive recently closed on $5BN in new funds and also announced Thrive Holdings, a permanent capital vehicle to invest in, acquire, and operate businesses for the long term with the strategic application of technology.


During his time at Thrive, Miles has led investments in companies like Airtable, Monzo, Benchling, Lattice, and more recently Cursor, a code editor built for programming with AI, which you’ll hear us chat about. That team raised a $900 million round at a $9.9B valuation in June.


Prior to Thrive, Miles was a General Partner at Benchmark, where he led seed investments, most notably in LangChain.


We spoke about trillion dollar companies, silicon valley as an idea, business genetics, practicing scales, and Swedish House Mafia.


0:00 - Intro

2:14 – “The Era of Doing”

6:15 – Startup Capital Intensity in the Age of AI

9:14 – The Rise of Trillion Dollar Outcomes

15:11 – Silicon Valley as an Idea

21:04 – Physics vs Biology-Style Investing

25:41 – Business Genetics and Compounding

33:04 – Dying of Indigestion and Going Multi-Product

35:55 – Co-Pilots, Command Centers, and Defensibility

40:07 – Investing Stage Agnostically

44:29 – When is VC a Good Capital Instrument?

49:18 – Thrive’s Core Beliefs

53:57 – A Bet vs a Commitment

57:49 – The Few Ideas Miles Takes Seriously

59:47 – Doing a Few Big Things vs a Million Little Things

1:03:54 – Practicing Scales

1:06:22 – What Should More People Be Thinking About?


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