In short
Podcast Notes: Uncapped #22 | Greg Rosen from BoxGroup
Episode Overview Host: Jack Altman Guest: Greg Rosen, Partner at BoxGroup Release Date: TBD
In this episode, Jack Altman converses with Greg Rosen about his journey in venture capital, the unique collaborative model of BoxGroup, and insights into early-stage investment strategies. Greg discusses his experiences, the challenges of venture capital, and the importance of building relationships with founders.
Key Concepts and Discussions
Collaborative Venture Model
- Definition: A model that emphasizes collaboration among investors rather than competition.
- Challenge: Scale can lead to reduced collaboration; funds that grow often begin to compete for leads.
- BoxGroup's Approach: Instead of leading rounds, BoxGroup maintains a collaborative nature by participating in syndicates with other investors.
Adverse Selection vs. Coverage
- Adverse Selection: The risk of investing in lower-quality deals when only focusing on a few opportunities.
- Coverage: The strategy of seeing a larger number of deals to identify high-quality opportunities, reducing adverse selection.
Seeing a High Volume of Companies
- Strategy: BoxGroup aims to review 5,000 to 6,000 qualified opportunities annually, investing in 70 to 80.
- Early Engagement: Importance of meeting founders before they have formed formal pitches or decks to capture early-stage opportunities.
Getting to a Yes
- Emphasis on creating a culture where the goal is to help team members and founders get to a "yes" rather than focusing on negatives.
- Single Trigger Decision-Making: Allows individual team members to make investment decisions without requiring consensus, fostering agility.
Calendar Auditing
- Importance of reviewing how time is spent in venture capital to minimize inefficiencies and focus on productive activities.
- Common Pitfalls: Networking events, meetings that do not yield results, and spending too much time on other investors rather than founders.
Depth vs. Breadth of Network
- The balance between having deep relationships and broad connections is critical for success in venture capital.
- Relationships with founders are prioritized to ensure strong partnerships and insights.
Pivotal Moments in the Episode
- Greg’s Background: Discussion of Greg's journey from engineering to venture capital, including his experience at Jim Pallotta's venture fund.
- BoxGroup's Unique Position: Insight into how BoxGroup's model has allowed them to maintain a unique stance in the competitive VC environment.
- Observation on Market Dynamics: Commentary on how the landscape of venture capital has shifted, with founder power increasing and the necessity for VCs to adapt.
Future Predictions
- Future of Code: Greg discusses the evolution of AI and coding tools, comparing it to the initial adaptation of mobile technology.
- Neuralink and Brain Computers: Speculation on the potential future developments in brain-computer interfaces and their implications for human capability.
Key Takeaways
- Focus on Relationships: Building genuine relationships with founders can yield better investment opportunities.
- See More to Win More: The model of seeing a higher volume of deals increases the likelihood of finding transformative companies.
- Adaptability is Key: The venture capital landscape is changing, and it is essential to adapt strategies accordingly to stay relevant and successful.
Conclusion This episode with Greg Rosen offers valuable insights into the collaborative model at BoxGroup, the importance of seeing a high volume of deals, and the ongoing evolution of venture capital in a competitive landscape. The discussions around future technologies provide a thought-provoking perspective for investors and entrepreneurs alike.
For more information about Greg Rosen and BoxGroup, visit [BoxGroup](https://www.boxgroup.com) and follow him on [Twitter](https://x.com/grosen). For more episodes of Uncapped, visit [Uncapped Podcast](https://linktr.ee/uncappedpod).
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00you are better off just focusing on the thing that you are a lyrin. And like, I think the biggest thing is just figuring out what that is. Which of the archetypes you are and then you click out? Which of the archetypes, like if you have like hyper networker, philosopher, and specialists, like, there's probably more, but like of those three, like, which one are you? Yeah. Where do you have an advantage? And then just focus all your energy and effort on being amazing there. All right, Greg, I am very happy to be here with you. And I'm going to give a little disclaimer that I could jolt you into doing this.
0:29and you normally wouldn't, but you're one of my best friends, and so you're doing this favor for coming on. So thanks for doing this. It's just like your first podcast. This is my first podcast. I heard this is like a small boutique. No one really knows about it, right? It's a small little thing, and you agreed to do it once, and then you're never again. Yeah, don't invite me back. Okay, so I want to start with one of the things that you've taught me a lot about, which is the idea of collaborative venture. What's interesting about it to me is it used to be the case in venture that funds were smaller and collaborative was like the nature of how the whole world worked and funds would like sort of like team up and like do rounds together.
1:06And then at some point in the last 10, 15 years, I think it's swung to a place where funds got huge, people got sharp elbows, people wanted lots of ownership and whatever. And so a lot of that went away. And so in some sense that declined. But box is like bigger than ever, doing more than ever. And so I wanted you to just start by hearing your overall view on this like collaborative adventure model. Yeah, collaborative venture is hard and almost by definition it has to be anti -scale in certain dimensions, right? And so for us like if we started leading seed rounds or series A rounds and certainly beyond that we would lose our collaborative Switzerland nature.
1:47So instead what we said is okay that is an easy way to scale capital is start leading rounds writing larger and larger checks. And that's what others have done and why it's like hard to stay collaborative. That's like usually what happens, right? That's usually what happens, right? Everyone starts a new fund or new firm and they say we're going to be super collaborative, we're going to work together. And then all of a sudden they start leading one, two, three deals. And the second that happens, it's this binary moment. You're going to make it a dog. Because if you're collaborative, right? We're a boxer.
2:19And then let's say we make 80 investments a year. And let's say we only lead two or three seeds of that. Now when I'm sharing a deal with you or anyone else in the market, you're going to be thinking in the back of your mind, is this fully being shared all the deals? Or is it the one or two deals that they're leading and actually most excited about? I'm not getting shared. I'm not seeing. And so it's this binary moment that like the second you start leading those rounds, you just can't be Switzerland. And for us, we have been, you know, since the beginning a box group, you know, 15 plus years ago to now, it is like, we are not doing that.
2:56We are Switzerland and, and that's, I think, what's enabled us to like, so just as like a little side, bro, on that, do that mean no matter how excited you are at a seed, you think it's amazing, crazy differentiated access. It's long term not worth it for you to break the model and just like lead a seed. Correct. It's why we like our check size from, you know, the beginning to now has gone up, but it's basically scaled directly with like the inflation of rounds. And so, you know, seed rounds a decade ago might be like a fully loaded seed round might have been $2 million. Now that's $5 million.
3:27And so our check size started at, you know, way back in the day, 50, 75K. Now I would say it's like $750 to a million. And the reason we do that is that we want to make it as easy as possible for a founder to say yes to us. And so that means if we get to a founder first, We can commit a million dollars or 750K and be like, hey, you don't have a lead. We are aligned with you. You're raising three, four, five million bucks. We're going to be your first yes. And let's go help you find an amazing lead. Or we could meet a founder and they'd be like, hey, we already have Jack Alman as a lead. And we're like, great.
4:02We can sort of round out a syndicate very quickly here and we can also get to yes. And so the design for us is making as easy as possible for a founder to say yes in whatever the round structure is. but it is not writing a $3, $4 million lead check. Why do you think that more people haven't scaled it up? Cause there's like a lot of funds out there that are 20 to 75 million that do 250K, 750K checks. But most don't scale it. Most basically get to this jumping point that you've talked about where you're either like, I gotta go lead rounds and like compete to lead seeds or not. Everyone wants to get like, anyone who's doing this is ambitious, right?
4:41and wants to get to scale. And so there's really only two paths that we've seen to scale the craft of what we are doing. One, scale AUM and then go further up the stack, start leading seeds and A's and B's right larger checks. Or, and sort of the approach that we have taken, is do more deals, right? Scale velocity in terms of early deals with this collaborative Switzerland structure. And why do more people choose the former versus the latter? It's really hard, right? Like if you took a look at anyone of the people who work at Box Troops Calendar, the sheer number of net new deals is ridiculous.
5:27It is ridiculous. And I think if you audited the average partner or general partner or managing partner of a lot of other firms and you looked at how many net new deals they are meeting a week, I think you would be shocked. Yeah, yeah, I truly shocked. I want to come back to the calendar on it because that's like one of my favorite topics with you and I think everyone gets this super wrong. But on the scaling, what is it like, I guess, first of all, I think I'm planning what you said is that one of the big deals here is not getting adverse selection, right? And like, I guess when you're thinking about scaling and what makes this work, to what extent do you think it's about you not getting adverse selection and to what What extent is it just about you seeing tons and tons of deals?
6:08Look, it's both, but it's primarily not getting on for selection. That's like the big thing to solve. That is the big thing, right? Every strength has a corresponding weakness in vice versa. The knock on that I hear from other people knocking on our model is you need to own a ton of the companies that work in order to make venture work. And for us, what we would say is that is true, but also you've got to be in the right companies and it's much harder to be in the right companies. And so what we do is we trade ultimate ownership percentage points for a more collaborative, flexible model that lets us just see better companies and hopefully get into more companies.
6:48And then the math basically is you've got to get into the $30 billion companies, not just the three, but by doing a bunch of companies, your odds of that go way up. Exactly. Like, we are, you know, the other thing that I hear sort of as a knock against our models, like, well, this is an index, right? And, you know, again, we are holding such a high bar. We are like always asking ourselves, is this going to be the most important company started over the next decade? But it's really hard. And so we take more shots on goal to try and get those outcomes. And then when we capture them, you know, it's our job, you know, to continue supporting them and piling money on.
7:23Gary Tann talked a lot about this. Like he said this on Twitter, I think we talked about it here, that he was like, basically if you look at all these funds that just do very big baskets of YC, they outperform like ridiculously. Yeah. And it's like hard to believe that it could work like that, but it somehow seems to work like that. Yeah. I mean, I don't know the exact statistics and, you know, someone from YC should correct me, but it was like the class sizes were about 100. And I think it was like, you would get two to three billion dollar companies per batch, actually, historically. And so let's call it whatever it is, one, two, three percent.
7:57Where else can you get one in a hundred, two in a hundred, three in a hundred chance of hitting a unicorn or a multi -billion dollar company? And that's what makes it so great because that pool is sort of a really elite pool. And that's sort of what we think about internally at Box Group. Now we have to sift through a lot more than a hundred deals to get there. But that's sort of the Basheur machine that we talk about in terms of trying to just see as many deals as possible. I think implied in your worldview about adverse selection is that at seed it is somewhat knowable what's good. In other words, you're saying you'd rather get to go alongside Sequoia than have to compete with Sequoia or whatever.
8:40There's other views that seed is super unknown and nobody can tell, but I think your view is that... Like some, it, some of this is a fair characterization. Something like picking is actually, you know, most people can see a good thing when they see it and you actually just have to like see the stuff and just like get in some way somehow. Yes, I would say especially as Ventura shifted from a cottage industry to like, you know, a machine industry with tons and tons of capital and tons of firms, I think there's no such thing really as a proprietary deal and if it is, it lasts for like literally a blink of an eye, like not even a day anymore.
9:20And so what that means is, is just like it's the whole, you know, inner workings of ventures, just way, way harder. Yeah, like competition has gone through the roof. And I think what's interesting to me is that most, most people, if not everyone, limited partners, general partners, employees, I think everyone would agree that venture has gotten more competitive, is gotten way harder, right? And what's interesting then is that if you look at the math formula of venture, the like seeing, picking, and winning a deal, and then equals enterprise value output, everyone says, like, okay, those are the three things, and venture has gotten harder.
9:59But if you don't change any of those variables, what are you accepting? You're accepting that returns are going to go down, like you're just going to perform worse as an investor. And so then what the counter is for most investors. We'll be better at picking. We're gonna be better at picking. It's gonna be hard. And we're just like, I'll think harder. Yeah, we're gonna exactly. We're gonna be thought -boys. And in reality, maybe I'm just not good enough at this job. I don't know how to be 50 % better at picking, let alone 2x, let alone 10x. I just think it's like a fool's errand to think that you're magically gonna become better pickers.
10:34And so for us, we've said, okay, venture has gotten harder. We don't know how to be better pickers. Let's take winning aside, we are going to be really focused on seeing. How do we see more in order to counteract how much more difficult it is? And then let's have a model back to making it easy for founders to get to a yes, to allow us to win more. And what I would call this is like, you know, Josh Coppeman came on your podcast and talked about the Venture arrogance score, I would say this is our like Venture humility score, which is we don't know how to have a basket of 20 companies in, you know, a fund or, you know, in a year and pick the most important ones given how competitive and hard it is.
11:23So for us, we're saying we need to do more. We need to see more. We see on average about five to 6 ,000 qualified or referred opportunities a year. And then we at Box Group end up making about 70 to 80 investments a year. And like that's our humility is like, if I could at the extreme make one investment, and I would know that that investment would be open AI, of course I would do that. I'd have the best performing venture fund of all time. We don't know. And so we take more shots on goal because it's much harder, so that we can counteract how much more difficult and competitive venture has become.
11:59So then the game is like, see a ridiculous amount. Exactly. So how do you see a ridiculous amount? Like, what is the body of work that goes into saying, we can't get better picking, but we can see a bunch more stuff. I would break it up into inbound and outbound. Inbound is like the icing on the cake that tastes really great. It's awesome, but you can't just eat icing, right? You need the actual body of the cake, and that is outbound. So we really focus on a bunch of great outbounding activities. that looks like running a ton of different events across the country. So in turn events, events on campuses, and engineering leaders.
12:38And again, these things aren't unique in terms of like, oh, we figured out unique alpha here. No one else is running events. But like quality matters here, right? Again, back to empty calories. It is very easy to do a bunch of events that return nothing because you didn't cure great, great people and do all the hard legwork. And I think our team does an exceptional job at running and doing these events. I think probably 25 % maybe slightly more of deals is from the sharing and Switzerland work that we do with other investors and people. And why do they share openly with us? It's because we're not going to snipe a deal.
13:19We're not going to compete with them for a lead position. And more so, they want to be preferred partners for, you know, when a company that we are fortunate to back in the preseater seed in Flex, we can, you know, say like, hey, we've loved working with Jack Altman. And so you should go take, you know, it's exactly his money for the series. You don't just have somebody for the most part who's just like reaching out to people like it is to some extent this inbound outbound mix where you're kind of like warming up groups of people that you think are interesting and you're talking to your network or are you also like really good?
13:52be reaching out and just machine gun pathways. Like we built some software to do LinkedIn scraping when someone changes their job title or whatever. It would be great if someone posted on Twitter, hey, I'm amazing and awesome and I'm starting a new company. That doesn't happen. And usually when that does, it's way too late. There's already probably been two rounds into the business. And so for us, we really think about, we have the saying internally, if there's a deck, it's too late. right? It means that not only has there been like a team co -less, but enough work has gone in to think to build an actual deck and that means we're late to the party.
14:31And so so much of our outbounding and work gets to like before there's a company, there's a human being. How do we get that human being oftentimes before they've even left the company and that's what earns us the right to be that first check, that first yes. How do you do that part? Because this is one of things I've and you invest mostly a lot earlier than I do, but I've always wondered, how do you get to people in some reasonable way that will make sense at the top of funnel? Because in my mind, you need to be talking to thousands and thousands of people, then hopefully someone's gonna leave at some point in some way, how do you do it?
15:04The almost tactics aside getting to the mentality, because I think that's most important here, back to the calendar audit, there is no substitute for your time, right? And most people, especially check writers, do not spend time with someone who hasn't left their job yet, who may never start a company. That's primarily how every single one of us at Box Group spends our time is trying to meet and create those people before they've even left their job. And so step one is there's no substitute for putting in the time and you have to be okay with taking a lot of really, I don't wanna say bad meetings, but bad meetings, and they can exist in different ways.
15:50It's not that it's bad people, it's that it's meetings with a director of engineering at a cool company and you spend an hour with them and it turns out they just love being a director of engineering. Exactly, we have different sort of verbiage internally when we meet unlike how we describe and talk about founders or companies and sometimes you get someone who is an amazing big company person who's not a founder. Sometimes you get an extremely technical founder who's not commercial. You get all these things. And by the way, you then have to line up those different archetypes with what are they working on.
16:22So like you can't make these blanket statements. But more so my point is when you go super early and nothing is formed, you cannot look for perfection. You cannot look for cohesion even in ideas, right? Like oftentimes we've missed and passed on companies because we were like, like we met this human, they were really interesting and amazing, but like they were all over the place. They're talking about 10 different ideas. And it's like, that's a feature, not a bug. That means we're getting to them before they've actually figured out exactly what they wanna work on. And ideas are not precious, you can work on anything.
16:55And so now we've sort of iterated away from that and said like, okay, that's actually a sign that we're doing our job and getting to there early. I guess that's also not just people leaving companies, You're probably getting people out of school and stuff like that too, which is another big body of work, I guess. Absolutely. Like the number and look, I think that has increased dramatically with the rise of AI. Mean. Because it favors younger founders. It favors younger founders. Like whenever you get new technology, right? Like it's always the younger generation that figures out the most native ways to use that technology.
17:27And even the old ways of building a company become less relevant. So the advantages of experience decline. Yeah. Like the rules get rewritten. And I've certainly felt that with co -gen and other areas. It just feels like every day something new comes out, some new piece of technology is what makes the job so great. But that favors young folks. And I think if you charted the number of 18, 19 year olds that we are funding now versus 10 years from now, I mean, I don't know off the top of my head, but it's at least one order if not two orders of magnitude higher. Wow. Yeah. When you're bringing people in or I don't know to the extent you like bring them in for a partner meeting, but like We don't do partner meetings.
18:08You don't do part. Yeah. I think partner meetings make no sense. Why? One like a partner meeting is designed so that you get multiple like partners or decision -makers to like give you an opinion on the person and what we found is one very few founders like doing that. Because you're just regurgitating the same thing. You're getting everyone's like super performative too. Exactly. But like that aside, which is like a huge waste of time on the founders part, for us at Box Group, it's like we've found that like there's three classes of deals that come in that we discuss as a group. Obviously great, obviously bad, everything in the middle.
18:51The obviously greats are easy. It's like, all right, let's go find a way to invest. Those actually interestingly as a basket perform worse. They're higher priced. Usually they're more likely to get acquisition offers. Obviously bad. We don't spend any time on. And then all the elf is in the middle bucket. But you do the obviously greats anyway. We do the obviously greats anyways. Looking back at your biggest hits, have any of them started in that basket and then in fact been obviously great or have most of your, or have all of your good, really good stuff? I don't want to say all but like most.
19:21Wow. And it's all for different reasons, right? But this sort of gets to my point, which is the sort of middle is where all the alpha is. And because it's so early, like oftentimes, the deals, deals that are there are pre -product, oftentimes pre -team, like there's nothing. And more often than not, we are discussing those deals as just like we're talking about the human being for 15 minutes, right? and like a little bit maybe two minutes on what exactly they're working on. So what are you talking about with the part when you're having a debate like that? What are the things you're debate? Like what are you talking about?
20:01We're basically looking at I hate the term spikiness because it's so annoying. But like maybe set a different way is like we're we see again five, six thousand opportunities a year. What is outlier? What is standing out? What is just different? What is making us likely to want to go quit our jobs where we get a portfolio and go work for them. When we see all these really interesting companies, and that's different. Sometimes that can look like their talent magnet. Sometimes it's like we're talking to an 18 -year -old and it feels like you're talking to a 30 -year -old. And they're like, mature beyond their years.
20:34Sometimes it's amazing technical prowess or expertise. Sometimes it's like jump off the page commerciality, right? But I guess my point is almost always in that bucket. It is not obvious. We're talking about it in an obvious way. But these are decisions that are so on the margin. And it's like if you wake up the wrong way and you're kind of in a grumpy mood, and that causes you to pass on the one great 100 billion dollar, $1 trillion dollar company that gets created either that year or that decade. that is extremely costly. And so instead, what we've found is that we should design a model that like we are trying as a team instead of sort of poking holes and trying to figure out all the ways that it can't work, which like I could do, by the way.
21:24I could have every single company that comes in even the good ones. I could find a million reasons why it's going to fail in network and be very negative in trying to talk all my partners and team out of it. We take the opposite view, which is we have to help the sort of person that's dreaming with the founder or squinting is sort of the term we use internally to sort of get to their own version of yes. And so what you hear is that the sort of individual stakeholder that's meeting the company will sort of talk about it as the group. And then all of us, instead of poking holes, and it's not that we're not critical, we try and pull on the thread on, hey, like you mentioned this language, that seems pretty outlier to me.
22:05like, can you expand on that on like what you saw in this founder? And so we're all trying to help them basically get to a yes in our model, which is very, very unique. And then we are, you know, single trigger. I feel like that's your whole orientation. Like even when I call you, which I do all the time about like a deal, you're often trying to help me get to a yes, when like almost the whole industry is trying to get you to a no in some weird way. Yeah, and this is the, you know, cost of omission versus, you know, commission. And it goes back to you doing a lot of companies per fund. Exactly.
22:36It's like you just the number one thing that matters is just being in the right companies. And you know, and I remember, you know, I won't mention the name of the company, but like you called me on a deal that you were looking at. And the first conversation, I was like, here's the critical pieces of the market and product and like the competitive landscape. And sort of I was like, you should think about that. And then I I remember you called me again later that week. And intuitively, I didn't realize I was doing it. We were just debriefing earlier than this. But then I swapped in that second meeting to like, oh, you now are seeing something.
23:12You're squinting and seeing something that's not obvious in the market. Let me like help pull on those threads to help you get to a yes and you ended up investing in the company. And I think that's what we aim to do as an entire team across the board. not just partners, but like a associate or analyst who just joins. It's like all everyone, that's the mission and ethos of like someone at Boshcher. So you've described now like a few attributes of doing like super early stage investing, which include like a big basket, an orientation of trying to get to a yes, not trying to get to a no. Yep. Looking for people, not ideas.
23:47Yeah. All of those things are like extremely different than everything about how like a big firm operates. Like those Those are opposites on all dimensions. I'm curious how you think about a big firm trying to do this, I don't know if you want to call it pre -seed or first round or whatever, but they're just such different sets of work. Everything about its opposite. Yeah, and it's, look, it's why I always ask myself why are they're not ventures so competitive, why are they're not more boxers? and it's so counter to how so many people run their business and do their work. I think for us, it's just the only thing we know.
24:28I come back to, if your ultimate goal and orientation is not how do we maximize ownership, and then hopefully we are in some really good companies there, and instead say, how do If we look at all the good companies that get started in a year, we think about how many of those did we see? And then how many of those did we actually get right versus wrong? And the way that we look at it, and I think my partner, David Tissue, started the firm, owns a lot of credit, like deserves a lot of credit here, which is like the failure mode is we didn't see it. If we made the wrong decision, okay, let's like figure out and debug that.
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25:11But what is unacceptable is like we didn't see this deal and if we didn't see it We got to figure out why and and what I would say is like most people I think would look at venture and say the most important thing Out of the sea pick win is pick yeah and for us the ethos of boxers is like we don't earn the right to pick or win unless we see it Yeah And by the way seeing it late versus early can be the difference of winning or losing and so So we are obsessed as an organization on seeing everything as early as possible. You mentioned a single trigger thing, which I think is, I don't know if it's completely rare, but it's less common than trying to get to some amount of group consensus.
25:49How structurally important is that? Incredibly. Consensus -driven decision -making at seed doesn't work, in my opinion. Back to the point on, it will just shift the level of risk that you're taking, right? If we had to vote as a team on every single deal, one, we would need to ask founders to come in and pitch everyone. By the way, our model then, it would be too much time -sync. What are we gonna have like a full day of like the 12 or 15 companies that are interesting that week coming in and pitching the partnership, it would break down. But more so, like it's again, back to that point, it's usually just one person who is like, or two people, or like in a pod.
26:25We usually operate in pods, or team size like 11 investors, 10 investors. And we operate in pods of like, like, you know, two or three usually. And it's like, that's, it's usually even one person within the pod that's like getting really excited. It's actually double because you've got both single trigger, but you also have a culture where people are trying to get you to a yes. Versus, you know, you have got consensus and it's like anybody's trying to block. You've got both things which makes getting a yes, obviously more frequent. Yeah, and I think because we are all obsessed with seeing deals, there isn't this concept of senior partners time is too precious, only loop them into a good deal.
27:05Right? Like something that we try and untrain sometimes is like, you know, we'll hire someone new, they're like starting as an analyst or an associate. They'll be like, oh, like I thought this was an interesting deal. I'd love to loop, you know, someone in to get another, you know, set of eyes. And the second meeting for whatever reason is not good. Right. And then they'll apologize. They're like, I'm sorry. Like, you know, it didn't, like your line of questioning, you know, made me realize that it's not a good fit. And it's like never apologize. None of us are too busy to take the meetings and like it's your job to go and try and surface those interesting ones.
27:39Now you can't always surface bad one and that deal tastes gets honed. But like there is this culture of no one's time is more valuable than anyone else's time. And like we are trying to see, you know, deals as early as possible, which means we're gonna take a lot of bad meetings and that's okay. Yeah, yeah. You've talked about how picking is like not the thing. Well, it is. It is. Well, I was just saying empirically, you're a good picker. Like you just, you just have to. And I guess my question is, is there anything describable about picking people or spotting, you know, I mean, we won't use spiky, we won't use taste.
28:15But is there anything about what goes into seeing something special about a person early that is describable or is it only learnable through lots of time or is it just not a learnable thing? I hate giving half answer, but the truth is it's half and half. Half of it is just, you can't teach taste. Certain people just have inherent deal taste. What is that? It's the human taste. Who do I like spending time with? Do I think can just do the impossible? I've actually always thought about that. People just have their preferences about who they like. For some people, that set of preferences is just going to overlap with super talented people.
28:51For some, it's just not. Talent clusters, by the way, always. And so, like, if you are a high -performing human, like, you are gonna spend time with other high -performing humans. So I think, like, there's a natural clustering there that, like, you just can't, you can't teach. The other is, like, you can get reps. You can practice, right? Like, you know, we both love playing golf. There are certain natural athletes, you know, in a big way. But there's no substitute for just lots and lots and lots of reps. Boxer is, like, I don't know how else you can get as many reps of seeing companies and across all different stages and sectors were generalists were not specialists.
29:31I think the other half of the equation. You mentioned something to me that I was really stuck with me, which is you said basically if you looked back, any time you took a third meeting with a founder, you should have done it. I thought that was a really interesting tidbit that basically one of the ways to get better is to simply be more observant of your own intuitions and the act of you continuing to spend time with somebody even if you're not sure is your intuition trying to tell you something. We're always updating our, we don't have like any rules, but like we have these like de facto sort of learnings and we're always updating them right back to the like, you know, okay, we did a good job, we saw, you know, a bunch of interesting companies, we passed why.
30:13And a big basket of, you know, one of them was More often than not, I would say the average deal is two meetings, right, in this market. First meeting, intro, we're kind of figuring out second meeting, both like Go Deeper, maybe have someone else come in and also sell the founder or spend a bunch of time and then invest, right? So that's like the average flow. There was a subset of deals where we were taking three, four, five, six meetings. And why are we doing it? It's because someone, again, was seeing something. It was almost taking more and more meetings, trying to make it obvious one way or the other, and it's like, it's not obvious.
30:49It's just, you gotta believe or not, and just do the deal. And so now it's like, if we're gonna take a third meeting, just do the deal. So that's like one, another one that sounds like obvious is that sometimes in really competitive processes, we will meet the CTO or co -founder in the first meeting instead of the CEO, or we bump into someone, and it's obvious, like always meet the CEO or sometimes the CEO, it's like two sort of equal co -founders, just like always meet the, you know, one CEO. And then I would say the last one that we've really thought about and I think like, you know, the mistake that we made and then how we corrected it was sort of not giving enough surface area to like ideas are imprecious and like we don't want to invest hoping for a pivot, but if the human's good enough, just like don't overthink the market.
31:37Like either we're gonna be wrong on the market because it's so early or the founders are gonna change and a buff and like, you know, just don't overthink that. I wanna talk about the calendar out of stuff. You and I have talked a ton about how like, people spend time the - Very dumb ways. In very dumb ways. A lot of them decalers. It's funny. I think I also, you know, when I was running a company, I also spent time in dumb ways but less and I think in venture, it's really possible to spend time in dumb ways because everything is amorphous. You don't know what's actually gonna lead to what, And so it leads to, I think, like, I think if you compared calendars across venture capitalists, you would see like a ridiculously different pie chart of how people are spending time.
32:16Absolutely. And look, like, everyone's running a different strategy, right? And so I also understand that, like, for you and the sort of craft that you're doing in, like, leading series A's and being an amazing board member, like, that is going to shift the amount of time that you're going to spend and take on like completely net new meetings. However, you are only as good. And this was like drilled into me when I was at benchmark, you're only as good as your last deal. Like you have it really hard where you have to both create incredible founder MPS as like a great board member, which is also anti -scale.
32:51But then you have to be always spending time on finding that the next great company. And what I find is that most people are not honest with themselves and they hide behind that. They're like, well, I'm on 10 boards. So like, I got to spend all my time doing board work. And I'm like, okay, but like, why are you spending, you know, all this time networking with like other investors? Totally. Why don't you go meet founders? Or like, why are you at this like event that's all VCs and no founders? I mean, that's of some massive waste time. Massive waste of time. And people think they're so busy, but like, there's always more outstanding.
33:24And it feels good. You feel like you're out and about. You think you're doing stuff. after meeting people and what did you do? Yeah, yeah. Yeah. And so. What are the other big time was? Like if you had to name the top time oysters, like I think networking events got a big thing. That's gotta be a top. That gotta be number one. Yeah. Basically anything that isn't, if again, you're in the boardroom doing board work, like if you're not helping your portfolio, you should be spending all your time trying to meet and find new companies. but again, really individuals and great, like, interesting pockets of people.
33:59Yeah. Like, if you want to find alpha, you have to be people focused, not company focused. There are many ways to do that. You know, there's, like, we do sort of a hyper -networked approach at doing it. There's sort of a philosopher tweeting media, very loud out there approach. I also think there's being a specialist, right? And, you know, this is the one area that basically I'm gonna know more than anyone else. Yeah, I'm like three different archetypes. So it's like it, so there's like, there's like, networks see everything. There's like, you know, media thought boy, like, is that you pouring out for me?
34:34So it's like, yeah, and then there's like a specialist. Yeah. Those are like the three ways you can go about it. Yeah. What can be a big problem. And venture in just in general is when you start trying to get caught up in other people's games, you like don't just make like no progress, you like go backwards. Yeah, you like, you spiral and waste a bunch of calories. And what's most dangerous is that it can look the tactics can be the same But the quality can be very different, right? And so like again, I don't I don't tweet. I don't do podcasts You know, I do this podcast. Right many other people have tried to create we just do this once a quarter Yeah, exactly But like many people have tried to create a bunch of other podcasts and like you know you came out and did an exceptional job and of quality and now this is probably going to hopefully lead to a bunch of really great interesting companies coming your way.
35:25If I tried to do the exact same thing, it wouldn't work and the time spent and all of that, but it's a learn to like, oh, totally. I could go and have the, and then everyone's going to come inbound to me and it's going to be so great. Or he's like, I mean, this is going to come off as a joke, so sorry, Sam, but like, you know, our friend, Sam, he's like an incredible, he's a good at all thing, but he's really good security investor. Really good at cyber. Really good at cyber. It's good enough to do a particular, particularly cyber. And, you know, if we try, like if I tried to go be a specialist in something, I'm gonna like fall over.
35:55It's just not gonna work. Yeah, exactly. Like he should be better at that one thing. But the trap that I think investors and especially like early investors in their career fall into is like you know the thing that you're good at and then you're like, well, this other thing over here. I see people doing all of that. I see people doing really well. But the trap is like you actually don't know how hard it is, right? And it's like you are better off just focusing on the thing that you are outlier in. And like I think the biggest thing is just figuring out what that is. Which of the archetypes you are in?
36:24Which of the archetypes? Like if you have like hyper networker, philosopher, and specialist, like there's probably more, but like of those three, like which one are you? Where do you have an advantage? And then just focus all your energy and effort on being amazing there. And there's probably some people who are like a major and wanted and a minor and others. But like even that, you need to like know what that is. Yes. Yeah. And back to like the calendar, like then audit your time and go back and look and be like, how many empty calories that I waste doing this thing. And like even if the inputs are good, if the outputs aren't there, right?
36:55Then like it all. It kind of goes back to your like inbound outbound thing where like inbound is icing. It's so easy to just get lost and you know, just inbound requests. Will you do this thing or that thing or come meet this person? And you know, One of the things always shocks me is you can just save 90 minutes by just, you know, saying a polite no, and then it's over. And people all the time just do stuff because they're like, I don't have something else planned so I can just do it. Say no all the time. Yeah. Like to come back on this podcast. Yeah. That's right. This is the last person last.
37:26One more question and then I want to wrap with a couple of your thoughts on just specific areas of tech. As you reflect over your last sort of 10 years of venture, I'm curious how you thought about deep relationships, broad relationships, the tight knit versus professionalized nature of venture. What do you see over your time doing this? It was really interesting. I feel like a decade ago, venture had clicks. Venturable had clicks, and founders had less power than they have now. What that meant is VC would invest at the series A, and then go tell their founder, like, hey, here's who's leading your beat, not always like in how I'm exaggerating a little bit, but like it was like that dynamic.
38:09And then what ended up happening is obviously founders got a lot more power, which is awesome. But then almost the playing field of like leads and new firms and everything, it kind of like spread out, right? It became more democratic, but that also meant that you were getting more sort of random people and sort of, more junior people doing deals and sort of investing in companies. It was a bit of a mess. You're talking like early Zerp. Yeah, exactly. Yeah. And now what's interesting is I feel like we are going back to like not clicks, but almost like who are the preferred partners? And what's cool is that founder sort of powers continued to go up.
38:49So what that means is that and we see this all the time and you know people that we like working with is we invest early. We sort of build founder trust and relationship. And then we say, like, look, we're not leading your series A, who's, like, here are series A investors who we really respect, who have done exceptionally well by, like, other portfolio companies and founders in our portfolio, they are our high rec. And what I would say is, like, when I started in venture, I always thought it was, like, bad to play favorites. And now it's like, I'm absolutely playing favorites on the recommendation.
39:27And then ultimately, it's on the founder to go and take that recommendation. And if we have high trust, hopefully it means a lot. And then ultimately, they're going to pick insurance. It looks best for their business. It's a very interesting observation, because it's like a similar net effect, but for opposite reasons and with an opposite power balance. We're like 10, 15, 20 years ago. It was like VCs had so much control that they could just say, this is the round you're doing. And then it became founder, power grew, venture capital dollars grew, and it became a bit of a mess. And what you're describing now is more a world where part of the job of the existing investors is to help the founder who does have all these cards, circumvent a lot of the messiness there and say, you know, these processes are really quick.
40:07We know people that are great and like here's options presented to you. Yeah, and there's so many ways that you can get sucked into a process that's either annoying a waste of time or like worse like a partner that has a great brand, but then in reality is like annoying to you. And I think that's part of venture funds are sort of becoming hyperscalers in their own way. And I'm asking huge billions and billions of dollars building platform teams, all this different stuff. And it's not saying that that's good or bad, but it just means that there's more noise. Yeah. And so for like us, one of the things, you know, I always say like, VCs love pitching magical value ad.
40:44Like we pitch zero, like founders of the reason why companies work non -investors. But the one thing that I think we can do a really great job at that is say, hey, across our 500 company active portfolio, here are the partners who have done exceptionally well by the founders that we've worked with. Yeah, all right, I'm gonna hit you with two quick future guesses and I'm gonna let you go. And then I can never go on a podcast together. One is Future of Code. I just posted this podcast with Vorkash. He dropped a really interesting stat, which I think has also been shared by one of the call -sins, Guillermo's talked about this.
41:20but basically it was about these tools are not yet that productive. Obviously, people are finding ways to be very productive, but they're not yet. You have made amazing early investments in cursor and warp, which are awesome leading products here. So you know more than average about the space. Where are we right now and where do you think this AI code Gen stuff is going? I don't think anyone knows and it's changing so quickly. So I'll caveat by no one knows. The thing that I feel strongly at is that whenever there's a new platform shift and I started my career With the rise of mobile right and I remember when mobile, you know first came out people were like taking HTML web views and taking their mobile website and saying There we go.
42:05There's our there's our mobile app right and that was the you know I always like talking to showing how old I am talking to young, you know AI founders and being like do you know when the app store came out with the number one app in the app store was for like the first two years Do you know? I remember like the beer drinking game. Was it that? No, that was that that was quick for like a day. It was Pandora, right? And the reason is like, that's what us humans do. We're like, ah, like an iPhone comes out. It's a supercomputer in your pocket. What's the most important thing? It's like taking the radio that's in our car, putting it on our mobile device, right?
42:38And what happens is it takes like two, three, four years for people to actually understand and the primitives that end up coming out of mobile, right? And then we get Uber, the remote control for, you know, the real world and Instagram and Snapchat and Discord and all these like amazing great native expressions of mobile. That exact thing is happening, bringing it back to AI and Cogen. But it's really hard, right? It's the reason why I think cursors done so well is that they took the IDE form factor that everyone knew and then built on it and made it a lot better. What warp is doing with like the ADE in the agenda development environment is like, hey, this terminal and Cloud Code and all these other components, we can just tell a computer what to do.
43:21And maybe the right native expression is not opening up a code file and then hitting tab 100 times because you shouldn't even be looking at an individual code file. You should just be telling the computer or machine what you want it to do and then sort of auditing all the thought and steps throughout it, throughout the process. And then eventually maybe you don't even need to do that. I'm always asking myself whenever a company is pitching us, what is the most native AI version of this? I don't know the answer, otherwise I would start the company myself, but that's our orientation. And that's been some of the, it's been cool to see the co -gen companies that we've invested in take different stabs at doing that.
44:01All right, one more just for fun, neural link, brain computers. What do you think about that? We were talking about this earlier, where I was like, you know what? I don't know if it's harder or easier, but like there's so much stuff that's happening in like robotics and you know humanoids and all all this amazing things maybe what's actually more fun and interesting is just like if we find a way to have input output to our human brain like then you just focus up and you know it's like matrix 2 .0 and that actually may be easier than having like a Westworld environment. So I don't know it's It's like a little futuristic, but I'm surprised that there's not more people that are like focused on instead of sort of changing and almost terraforming the earth and world as it exists right now.
44:51Just like putting the brain. Literally just simulate a much better one for ourselves and really what is the difference there? It's a little futuristic, but it's just a fun thought. It's like ultimately it's like what is the path of least resistance? I'm talking way out of my scope of knowledge. But the path of least resistance rather than that utopia on Earth might just be, we're all like hooked up to the matrix and, you know, we have perfect input output to our brain and that may actually be easier than sort of the utopia with robots running around and humanoids and all that stuff. I don't know.
45:22Sounds good. God willing. Greg, you're the best. Thanks for doing this. Thanks.
From the publisher
Greg Rosen is a Partner at BoxGroup. Greg was the first hire at BoxGroup outside of the founders, David Tisch and Adam Rothenberg. After moving to the West Coast to work with Benchmark and Bedrock, Greg rejoined BoxGroup and currently invests out of their San Francisco office. An engineer by training, Greg built iOS games in high school before dropping out of college at 19 to join Jim Pallotta's venture fund in New York City.
BoxGroup is an NYC-based seed stage venture capital firm that has invested in over 500 seed-stage startups over the last 15 years, including Plaid, Ro, Ramp, Clay, Scopely, Warp, Cursor, PillPack, Amplitude, Flatiron Health, Stripe, Warby Parker, Harry’s, Oscar, Flexport, Classpass, Vine, GroupMe, Airtable and more.
We covered:
Being collaborative at scale
Avoiding adverse selection
Getting to a yes instead of no
Venture calendar audits
Running the right strategy
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Timestamps:
(0:00) Intro
(0:47) The collaborative venture model
(5:47) Adverse selection vs coverage
(11:59) How to see a ton of companies
(14:44) Getting to founders early
(21:10) Helping teammates get to a yes
(23:25) Why there aren’t more BoxGroups
(27:57) What’s learnable about picking
(31:46) Calendar auditing
(34:39) Focusing on where you’re outlier
(37:25) Depth vs breadth of network
(41:03) The future of code
(44:00) Brain computers
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More on Greg:
https://www.boxgroup.com/
https://x.com/grosen
More on Jack:
https://www.altcap.com/
https://x.com/jaltma
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https://linktr.ee/uncappedpod
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