In short
Podcast Summary: Uncapped #16 | Mamoon Hamid from Kleiner Perkins
Episode Overview In this episode of *Uncapped*, host Jack Altman interviews Mamoon Hamid, a Partner at Kleiner Perkins, a prominent venture capital firm. Mamoon shares his insights on the evolution of the tech industry, innovation cycles, investment strategies, and the future of artificial intelligence and robotics.
Key Themes and Discussions
- History in Silicon Valley
- Early Career: Mamoon recounts his journey starting as an engineer at Xilinx in 1997, witnessing the rise and fall of the dot-com bubble.
- Innovation Cycles: He reflects on the different technology waves such as semiconductors, computers, software, and the internet.
- Investment Insights
- AI's $60 Trillion Opportunity:
- Mamoon highlights the significant economic potential of AI, suggesting it could transform labor markets fundamentally.
- Discusses how 60% of current GDP is labor, making AI's impact substantial.
- Investment Strategies:
- Emphasizes the importance of timing and market readiness when investing in new technologies.
- Shares his philosophy on assessing founders and startups, indicating a focus on product-obsessed founders who demonstrate commitment.
- Future of Robotics
- Mamoon discusses the challenges and potential of robotics, noting that while advancements have been made, achieving true autonomy in physical tasks remains a complex issue.
- Kleiner Perkins and Its Revival
- Reinvigoration of the Firm: Mamoon explains how he and his team worked to rejuvenate Kleiner Perkins, returning to its roots of focusing on early-stage investment.
- Investment Philosophy: The firm aims to be the first call for founders wanting to make history, and this mission drives their investment strategy.
- Talent Management and Growth
- Mamoon shares thoughts on nurturing talent within the firm versus hiring externally, emphasizing the importance of cultivating a strong internal culture.
- Personal Values and Balance
- Faith and Family: Mamoon discusses the significance of his family and faith in shaping his approach to work and life.
- Empathy in Business: He expresses the importance of treating founders with respect and empathy, acknowledging their hard work and sacrifices.
Key Takeaways
- Timing Matters: Successful investments often depend on recognizing the right moment for a technology or product to thrive.
- Founders Matter: A strong alignment with passionate, product-focused founders is crucial for investment success.
- AI and Robotics: The evolution of AI is seen as a transformative force, while robotics presents both challenges and opportunities for the future.
- Cultural Importance: Internal culture and values play a significant role in talent management and firm success.
Timestamps
- (0:00) Intro
- (0:29) The dot-com bubble
- (7:12) Web 2.0 and cloud
- (16:03) Early days of mobile
- (17:51) AI’s $60 trillion opportunity
- (21:48) Where to invest in AI
- (28:39) The future of robotics
- (32:35) Reigniting a storied firm
- (41:36) Growing vs recruiting talent
- (46:42) Win rate aspirations
- (49:16) Investing in Box, Slack, and Figma
- (54:36) Assessing founders
- (57:14) Kleiner Perkins’ strategy
- (1:00:52) Family and faith
Additional Resources
- [Kleiner Perkins](https://www.kleinerperkins.com/)
- [Mamoon Hamid on X](https://x.com/mamoonha)
- [Alt Capital](https://www.altcap.com/)
- [Jack Altman on X](https://x.com/jaltma)
- [Uncapped Podcast Links](https://linktr.ee/uncappedpod)
Contact Information
- Email: friends@uncappedpod.com
This episode provides a rich exploration of Mamoon Hamid's insights as a seasoned investor, highlighting the importance of innovation, strategic investment, and the values that inform business practices.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00Cliner had made history from the days of semiconductors to then computers to software to the internet. Those four big technology waves. If you look at the list of companies in each one of those major waves across decades, we pretty much nailed every single dominant company in those waves. And so how could we make history again? All right, Mammun. I'm super excited to have this conversation with you. Thanks for making time for it. Thank you for having me, Jack. Really good to see you. So I want to start by talking about your kind of history over the last couple of decades or 25 years in Silicon Valley.
0:37And if you could just sort of take us back to when you came to tech in Silicon Valley and maybe sort of the experience you had through the different innovation cycles. I was really fortunate to come to Silicon Valley as a first time engineer, first job out of college in 1997, working for a semiconductor company involved things that was coming called Zionlinks, actually a Cliner Perkins back company, that was the underpinnings of lots of switching and routing equipment that was the backbone of the internet. And so I got to really see from that lens the rise and the fall of the internet and see my stock appreciate and then depreciate a lot.
1:21And so I look back at that sort of first few weeks in my cubicle at Zionlinks in San Jose in 1997. I'm 19 years old. I'm very influenced by all the things that were happening around me. And I've got a sun workstation and I'm running the Netscape browser, buying books on Amazon for my grad school classes at Stanford. And turns out just that a new structure engine has just come out called Google. And so these are the kinds of influences that I had in those early years in Silicon Valley. And turns out actually all of those companies Zionlinks, Netscape, Sun, Google and Amazon were all companies back by Cliner Perkins at the series A.
2:08So, which also got me thinking about who are these venture capitalists? That seems pretty interesting as a job. 1997, 1998, 1999 were like these boom years. It felt a lot like probably today, but a lot more parties maybe at the time. And people forget that that was a time of like felt like a time of excess actually. Was it way different feeling than now? Like on that front. It's slightly because I think we still have mostly builders today. And by 1998, 99 nonbuilders had arrived to help monetize the internet. And a lot of interesting business models were sitting on top of the internet hype bubble.
2:47And so I feel like we're still a few years removed from that today here. So they still builders. Did it all feel like smaller than in a sense? I mean, the whole industry I got was smaller. So did it feel like more of an insider club or did it feel like everyone's here? And this is a huge deal in the whole world. I think it felt like everyone here actually. It felt like all around everywhere you went. Just like the museums had parties at night. And you know, like the folks were hosting like dot com parties. And they were a real thing. And folks were up and down from San Francisco down to San Jose.
3:20It was it was a palpable feeling of progress, momentum, excessive. And it was for someone I gone to college in the Midwest at Purdue. And so to come from Indiana to Silicon Valley in 1997 and be sort of on the peripheral, or periphery of that felt very different for one. But it did feel like a palpable energy of exuberance and excitement. To me, I would think that it was closer to the AI moment than the dessert moment because there was a real thing happening. But I'm curious if that's how it felt to you and to people who were here during it. Like was it clear that it was overinflated, but there was something very substantial or when the bubble popped, was it like, oh, we were all crazy?
4:08Yeah, I think it started to feel pretty crazy. And I think all of us at the time, you know, I was an engineer with the group of 20 other engineers, part of my cohort that got recruited from college. And so, you know, things that we were doing, we were obviously on the internet, but we were also like day trading stocks. Like we were all had date tech accounts, each trade accounts, and show how accounts. Because some of the stuff was so silly that was going on in the markets, a company would go public, it would have a 10x in that day. And then that's crazy. You sell the next day. And I mean, I learned a lot of hard lessons in trading public equities in those few years or the young person, but it felt silly.
4:49It took like you could not equate what was your buying and explain what it actually did. And what kind of value it provided to people and humanity and the customers. And so, I mean, these are companies with no revenue and tens of billions of market cap. And so, you cannot connect reality to the prices for these stocks. Since you've lived through many of these cycles, and we'll go through sort of the journey of them, but since you've lived through many of them, do you feel able to point to one word in one now, or do you feel no more able to point to one than somebody who's not been through a bubble?
5:27Part of the calculus of my brain is that you keep an open mind and some naivete and not be the old guy who looks at, well, I saw that happen back then. It was going to fail. And because if you have that mentality, you're going to miss everything. You would have missed the 20 teens, I guess. Absolutely. I mean, a lot of people did because it just kept going. And you would just have this sort of, you know, you got to have classful here. So look at a half -classful and imagine the possibilities, the optimism of the technology shifts that are occurring in front of us. And rather than like looking at it in a way of like, well, pets .com didn't work.
6:04So, you know, the next chewy is not going to work. Well, chewy really did work. And so, you have to keep an open mind and think about the why now and is the time right for this to happen now. And I think that is the lesson is the takeaway is the timing of it. A lot of the stuff that happened that calm boom, the timing was just off. There weren't enough eyeballs or enough people ready to adopt these products and technologies. And it took a good five to seven years later for them to become a bit more mainstream behaviors. So, timing matters so much in what we do. And I think that's probably the takeaway is how do you have take all the inputs of like how technology is making and impact the products we can build with that technology.
6:45And how many people can those products reach? And then I think is it the time now? Right. Or is it three, four, five years from? Yeah, some even 15 years later, right? Like, there were some like grocery startups that tried to do it in .com and that took 15 years later to get going. Yes. You know, Webman is a, you know, it took 15 years for that to happen. It turns out, I think the same investor invested in both. Yeah. Because you realize, like, kept the open mind and the mic more it's kept the open mind. It's very impressive when you think about that is not going burned. And so, so after dot com burst, actually, I'm curious, 2000 to like 2005, like kind of like before cloud, like what was happening then?
7:20What was happening then is and nobody could get a job. So the reason why I stayed for six years at the company I stayed at Xilinx was because I was on a visa. And then eventually I get to get a green card. But, but in 1999 2000, if I wanted to go get a dot com job, I pretty much the the window was short and you could not transfer your visa. And so you stayed at your job. And so I was fortunate to keep my job. But I also realized that things were kind of slow in the valley. And it felt like, I was looking for the next thing. And the next thing for me actually was a great opportunity for me to leave the valley for two years and go to business school.
7:54I left to go to business school. And went to Harvard because I wanted to one is leave, go somewhere new, different, but then also come back when things are more exciting again. And it was actually like the perfect time to have left in 2003 and come back in 2005. Right. You didn't miss much. Didn't really miss much. And actually, that was right. It's sort of interesting. I was at grad student Stanford when Google got started. And I was doing at Harvard when Facebook had started. So the timing of it seeing that was sort of the beginning of Web 2 .0 Web applications that were super cool consumer friendly user friendly, you know, and Facebook was kind of an innovator there on the lamp stack.
8:33And a lot came of Web post Web 2 .0 starting 2004 or five onwards. And so I land back here in 2005. And in a job now in venture capital, actually trying to do semiconductor investments. But realizing like as a young person, semis is probably not where it's at. And the place to probably think about investing in is in Web based software or cloud software. And that was yet not a term Salesforce did exist, but there were not a lot of cloud software businesses or Web 2 .0 consumer app businesses. We're just emerging. This is a time of like you're just getting flicker and you've got Facebook, you've got my space.
9:16And so there's a palpable feeling actually if you were, you know, just a few blocks from here in Soma, a good friend of mine, who was my class manager at HBS was Jeremy Stoplin. And he started Yelp in 2004 dropping out from our class actually to start Yelp. And he actually told me like, hey, you want to come join me to do Yelp? And you know, I'm going to go back to second year business school and then get a VC job. And maybe I should have done that. But but that was Yelp was yet another one of those very early Web 2 .0 companies. And so with that lens, I got to see all this like amazing cool UI centric Web software get built.
9:50A lot of consumer stuff was coming out at the time. And I took a liking towards more of the software for businesses specifically around productivity. And if I look back at around just like, you know, growing up in the desktop software world, you know, I use as a as a kid growing up, you know, sure playing games, coding, all that. But one thing I remember is you always went back to the file explorer, you know, like you always were clicking around files, finding the executable or, you know, finding a document. And so I thought, okay, well, how do you take desktop software and moving into the browser?
10:30And what would be the application that would first end up in the browser? And the one that I sort of perseverated around and really obsessed around the file explorer and file sharing specifically, which actually sort of led me to my first investment in box in 2007. And so seeing those sort of cycles play out where, you know, was it time now to build stuff for the browser? Yes. And what was what were the first applications that would do really well inside the browser? And then specifically, what were those applications look like for productivity, for workplace type type products? And so which led, you know, to this first investment in box, at least in that telling, there was a very logical sort of, here's how the world's moving, here's what should happen next.
11:15Therefore, I need to find something that's doing this. How much was it like that versus was it meeting Aaron being like, this guy's awesome. I'll back whatever he wants to do. It was both actually. You meet Aaron for the first time and you like, I want to invest in him. And it was one of those first meeting instant, like I need to back this person. And it was, he thought about the product problem. He's 21, I believe at the time. He thought about it as if he's been working on this problem for 10 years. And he, and he really poked the holes himself before I could poke the holes myself. Yeah. I had him on the podcast.
11:51He's been on for, now it's 20 years working on it. So he really is, I mean, a deep interest in it, obviously, like a life -long interest. Yeah. It's a life, file sharing is a lifelong interest. And now I've been seeing with AI, they've got and it's been a boon for them. And I think they're overbilling a revenue. Yeah. Profitable. All -time high market cap. Those years, you know, 2006, 7, 8, 9, was it consensus in venture? People who were thinking all the time about this stuff that cloud was what was going on. And maybe could you compare it to today's level of consensus on AI? Yeah. It was not the consensus.
12:27I would say if you ask Aaron about is the round that I invested in, he would tell you like there were no other investors who wanted to invest in the company at the time. And people weren't believing in cloud. Yeah. Maybe like, can a young founder build an enterprise software business? Like you have to go sell to Fortune 500 companies. So that was one thing, one thing. I actually remember when my good friend Jeremy Stauberman was raising capital, it was like, you know, we'd be told like you're wearing t -shirt and jeans to partner meetings, pitches. Like how serious can you be about building a company?
13:02It's a bit like the whole zuck thing when he showed up in the extreme like pajamas or whatever it was and flip flops or the Adidas sandals. But that was new to the venture ecosystem. You have to remember like in 1999, 2000, a lot of business folks entered the VC world. And you know, they were like buttoned up, you know, the slacks and shirt and some jacket and investing in like, you know, networking and semi -conductors. And generally with not a lot of technical backgrounds, the point was more that you're investing like all this hardware stuff that is you being used to build out the internet. And all of a sudden, you're thinking about investing in the SaaS software.
13:45Like it's a, you know, you're going from chips and networking systems and selling hardware and hardware systems. That was where, you know, some of the biggest exits came, including for Client of Perkins at the time, you know, like Juniper, Serent, these were like Cisco systems was the highest market cap company in 2000 that almost half a trillion dollars. And that was the world that we lived in. And that was a consensus was hardware and networking and played for it a few years. It hadn't yet moved to software and cloud yet. And Salesforce was still like a, you know, I think sub billion dollar, you know, startup.
14:21I don't think it actually clips that billion dollar number until we went public in 2004. So it was certainly not consensus at the time that people would start adopting cloud software for business work in 2007, eight, nine. Yeah. Did it flip at some point? Like was there a moment that you remember where everyone was like, yeah. Yeah. Yeah. In the early 2010s, it took a while actually for it to flip where everyone became all about SAS. And, you know, Jason Lentkin from restorative company, EchoSign, I'm sure has a lot of ton of stories as well that he couldn't get his company funded. And he sold it to Adobe for a decent amount, but not like an incredible outcome.
15:04But that was sort of the era of like the obvious applications that should reside in the cloud for business, for work, we're not getting funded and ended up with small comes. And it was not until I'd say the 2010s or so that really like the, you know, it got a little hypey. So then, I guess, somewhere in there on top, there was mobile. And was that to do experience that as like a completely separate wave was it intertwined? Because I guess that was, you know, happening in these same years. Yeah. And so cloud happens, let's say, 2008, 910 is when, you know, AWS comes out in 2006, 2006, 2007 really.
15:41And you can now finally start to build software in the cloud truly in the cloud. I mean, box for the longest time was still racking and stacking storage systems. And even through like the late 2000, like 2010, even. So you didn't have, you know, all the Amazon storage products that they have offered today. So it took a while to get there. Mobile comes along. I would say, I don't know if you recall this, but in 2011, it's my graduated college. And if you remember using Facebook, it was not yet a mobile app. It was sort of an HTML5 wrapper. So that you have to remember, like even in 2011, 12, we were still doing like these wrappers and not a lot of folks had just yet built native iOS apps.
16:26There was still this debate around whether wrappers or native apps. And I think, you know, the likes of Uber being like a killer app. And I think a lot of gaming companies, like the Zingah games and a lot of the social gaming companies really made native apps that really got people. If you look at the leaderboards of the charts, the Apple, the app store, the early days were a lot of games. Mafia Wars. And and I think gaming really drove. And I think generally, like some of the fun stuff really drive the the development of technology. Yeah. Like pushes things forward. Even in the internet, 1 .0 days, a lot of the fun stuff pushed things forward.
17:10Even like multiplayer games, drove like how like graphics and use of bandwidth, et cetera. And I think the same thing happened mobile as well. Basically, then through the teens, we had cloud and mobile were dominating. Yeah. And sort of, you know, my experience in tech up until just recently, that was kind of my whole existence, was just like cloud and mobile. It's just like the thing. And obviously people were like, this is the top, vice evaluations are too expensive. It can't keep going. And it kind of just did. And it's just like ran for like a decade there or more, I guess. Yeah. Then we had obviously the pullback when everybody was sad.
17:44There hadn't been the thing. Mark Andrewsson recently just described that as like, there was like the wandering or searching phase. And then now we're climbing the hill. And so that brings us to AI. And we talked a little bit before. You mentioned that like, you know, out of your last 15 investments, they basically all been what you could describe as like an AI investment. Now putting AI in context of these, you know, these other moments in time through your career, can you talk about sort of your perspective on where we are? What's the same? AI is to us the, the super cycle of all super cycles.
18:16They're now that we're like two and a half years in. And when I say two and a half years, I like in the day zero to be the first time I saw a chat GPT when Sam was kind enough to give a bunch of us a demo of it in October 2022. That was like the light bulb moment is, oh my god, this stuff is real. And there's going to be really exciting stuff built like it with it with these models. We've been on that sort of quest to invest in what we think will be those generational companies. And maybe just to take a step back though, if you look back at the start of our firm, Client of Perkins in 1972, the overall GDP of the world was $3 trillion.
19:03And in the last couple of years, we've crossed 100 trillion of GDP of the world. And historically, sort of, it's like continued to rise as a percent technology has risen as a percent of GDP to about 15 % of that GDP. So about 15 trillion dollars. If we just grew at the rate that historically that tech has grown as a percent of GDP, it will grow from 15 trillion to about like 30 trillion over the next decade. And that's, you know, if the GDP grows from 100 to 150 trillion. And so we look at these really big numbers. So there's like a doubling. Like you're creating as much value in tech over the next 10 years as you did all of tech combined.
19:49But what if tech grows faster because of the tailwinds of AI? And maybe to frame that is, if you look at that 100 trillion of GDP today, 60 % of it is labor, human labor. And AI is not just a new way of working, new productivity technology. It's not a new way of consumer apps. It is a, there's a strong element of labor doing the job, doing the actual work autonomously. And that is a 60 trillion dollar opportunity. You could be as an opportunity or view it as like, oh my god, what happens to those jobs. I worry less about the jobs because humans are evolutionary and they figured out what to do with these tools.
20:38We did it 50 years ago, 40 years ago, 30 years ago, we did it in the industrial revolution. We do in the computer revolution, the software revolution. We'll do it in the AI revolution. We'll figure it out. But there is up for grabs all this jobs to be done, which are literally trillions of dollars. I love looking at numbers and historical charts. And if you look at the market cap, like tech as a percent of the overall market cap of the whole world, like you know, it's like also roughly actually close to 100 trillion is the overall market cap of all the stock markets. And tech is today about 30, 35 percent of it.
21:19And it's rising pretty actually fast because I think it's already starting to the effects of AI on how value gets allocated amongst enterprises is already shifting towards companies that are, you know, the in -videos and the meadows and the Googles and those are Amazon's that are benefiting from the AI tailwinds. And so I think the inevitable future is that a lot more of this, these trillion dollars is the opportunity for all of us in the venture world. I mean, we're talking about literally trillions. So I guess I mean, to state the obvious, your mindset right now is this is going to be an unbelievable period to invest.
21:56I'm curious how you think about structuring, you know, the way you're going to go about it. Like if you have to look over the next year, two years, five years, how are you logically approaching the situation to invest? Yeah. So we at the end of the day with the breakdown of the problem and then find places and people to invest in at the early stages. That is our business. And so what we looked at is that chat GPT moment happens. So okay, so how do we address this market? You can go after the foundation models. You can go after sort of the middleware infrastructure or there's the application layer.
22:34And a lot of us at KPR, pretty application centric and we took a point of view around let's go think about how we address the applications, the jobs to be done. That's $60 trillion. How do we go after the jobs to be done? We took a pretty simple point of view, which is we sort of created like a the job pyramid at the top of the pyramid are highly skilled workers who are highly paid, but they're also fairly scarce in nature. So those are doctors, those are lawyers, those are engineers. And if you look at a chart of the top 20 jobs in the US by pay, those are doctors, lawyers and engineers. And so we thought, okay, so how do we invest in co -pilots for these job types?
23:20Why co -pilots? Because at the time, two and a half years ago, they were still we're talking about like nascent in terms of what their capabilities were and over time become more autonomous. But co -pilots because there are parts of these jobs that are very nuanced and the human brain needs to process those parts of the job. But there's parts that AI is scribing or like taking notes as a as a physician when you're talking to the patient. You know, I saw my wife as a physician take chicken scratch notes and bring them home at night and then transcribe them into her EMR when she was at Sanford. And so it's, you know, every doctor does it.
24:00And I was actually a doctor was this week where doctors are still doing it. I told the doctor that could have you considered using ambience for your AI scribe. And so the point is that you and I could be having this conversation and this 20 minute conversation gets fully transcribed into the EMR with a diagnosis with the drugs potentially to describe to prescribe as well as all the coding that needs to be done for billing for insurance, all happening sort of in the background autonomously. But that's the job that you know, doctor doesn't really love doing. Yeah, I mean, in general, it seems like there's all these conversations happening throughout our days at work whatever.
24:38And we're just losing most of it to the ether. And I could see one day thinking that's insane that we had this conversation and I couldn't recall it or do anything with it because I just forgot about it. Yeah. And that's the magic of products like granola, right? Or and so what we decided was, okay, so we invested in ambience for doctors, for clinicians, we invested in Harvey, for lawyers, we invested in a Windsor for for engineers and sort of took that sort of layer by layer approach to the different job types. So that pyramid of like highly scaled highly, highly paid sort of making 200k a year or so or more.
25:13And let's go invest in some co -pilots to connect it to box way back in the day. The way you just described those again felt like you had a plan and you had a view on the world and something should exist. And then you went and found that thing. Is that an accurate sort of way that you go about doing your work and finding these companies? Or is it just they're coming to you? And they make sense. I think it's a bit about they both they come. So the technologists who understand technology and how to use it to build great products. And when the time is right for those products to exist because the technologies were finding of mature enough to actually use it for production environments.
25:52That's how I think how do you match technology that's readily available today and production ready to the markets that could exist. When parallel, founders are thinking the same thing. Great founders are. And they're timing the market just like we're trying to time the market. And I think you sort of match each other up. They are starting companies and we're looking for them out there. And I think in all those cases, those are founders came to the same conclusion that we did. And they started the companies when they did and we backed them because we thought the time was right. I guess the future looking version of the question I asked would be do you have a set of ideas right now that you are really eager to invest in.
Read the full transcript
26:30If you found the right entrepreneur, you'd be like very leaned in to invest because it's an idea that makes sense to you next. Taking that pyramid structure again, it's that invisible pyramid I'm drawing here is okay. So you go one layer below. Okay, what are the jobs that are like slightly less paid but still skilled. Okay, those are nurses. They're salespeople, they're financial analysts. They're jobs of that ilk still very qualified college educated. And we found that okay, well, now some of those parts of this job is actually just do them completely autonomously. For example, for nurses, we have a company called Hippocratic, which is an autonomous agent that does work that a nurse would do.
27:12Like make a bunch of phone calls. Like they're making thousands of phone calls today to patients to talk about either like a pre -op conversation, a wellness check, do like a post check -in. And by the way, when you, you know, turns out that patients like to respond to phone calls in the morning or in the evening, like 8am to 9am or before work or 5pm to 6pm. Well, guess what? Like if you tell a nurse, you can only call those hours. That's pretty hard. But if you can an agent can do it. You can agent, you can tell them call only those hours and 10 ,000 people simultaneously do it exactly. That's the beauty of when you create abundance through AI, you can do some pretty amazing things.
27:54And by the way, those calls today are probably made. They go to voicemail. And then you don't do a follow -up because you just don't have enough humans to make those phone calls. Yeah, we'll never give up. Yeah, I will never give up. Right. And then that hopefully, or in the fullness of time, creates the right outcomes that these protocols are suggesting why should these calls be made is because there's some protocols that suggest if you make the call, you increase the decrease of likely, you know, readmission by X amount. And so all this abundance in AI creates all these opportunities to just get to the asymptote of a better world.
28:26And so back to your question, man, like, you know, what are the things that, so this phase of like in the last year or so, like a lot of autonomous agents that are doing parts of the work just completely on their own. And I think the end state is if you go down, so what is the lowest paid work and lowest skilled, it's physical labor. And it's just the truth. It's like backbreaking work that people do and still do it. And that's probably the hardest place to attack today. And where I were thinking sort of much further out, which is like robots. Yeah, it's like humanoids. The beauty of our time was that, you know, the transformers, LLMs really were able to take all the corpus of the internet, take lots and lots of textual data, transcript data, and understand this corpus and do really well with factual knowledge based data.
29:18But when it comes to the physical world, there is so much more. And no one's fully, you know, digest every single piece of video to understand or actions, human actions, to solve and address robotics today. And I think that's a magnitude bigger problem to address that a couple of really cool companies are looking at doing. But the problem is bigger, bigger, much bigger, and the cost to actually accomplishing and magnitude is bigger. Yes. And I just think that's like further down the road for us. That one could be like investing in grocery in the dot com era instead of in 2015. And it's like an obvious outcome, but it's, you know, not there.
29:57Like you're even setting this room up this morning, like a lot of people had to move a lot of things around to the right place and set up stuff. Doesn't seem physically impossible that a robot could do that one day. It just doesn't seem like we're there quickly. Yeah, it goes back to the cost equation. I think you could get a robot that robot probably cost you half a million dollars to do the work that was done here today. And it would take the robot five times as long. Yep. Okay. And so it's all about the cost benefit or cost the cost equation. And I think we'll get there eventually. We always get there.
30:27Yeah. But it takes some time. It seems like that will be to me at least that seems like that will be like the biggest economic unlock. And maybe like sort of quality of life unlock imaginable to me. If you could really have humanoid robots doing all that. I mean, it seems like a fantastical idea, but this keeps coming up on the podcast. It's like the obvious eventual conclusion. I don't see why it wouldn't happen and why it wouldn't be like the biggest thing that ever happened. Yeah. I haven't thought of it that way. But just one is that I'm not sure that's the human informed factor that the, I don't know if you need a humanoid.
30:57Yeah. Yeah. Robot. But just a robot. Yeah. Robot like on wheels moving around, doing things that we would do. I think it's already, it's we're closer when it comes to moving vehicles, bringing things from point A to point B, you know, like Amazon deliveries, food deliveries, all that delivery tech stuff. Right. But but things like in factories where there's very confined jobs to be done, we have a company really, it's called Dixterity, which loads, unloads, boxes off of FedEx trucks or UPS trucks, you know, just like, which is again, like, you know, it does like, if you watch the videos, it does a perfect job of like squeezing boxes into crevices that humans would never think about squeezing a box into.
31:39And so if you break the job down into very specific things, I think you can already do it today. But I think the, you know, the very dexterous robot that does a random set of things in your house. Super far. Super far. Yeah, I agree. I agree. I'm just very interested in the idea of like how far can prompt and go. I think about what type of business might you be able to prompt into existence in five years? Like, could you prompt a simple e -commerce business? Seems like you could probably do that. Could you prompt like a SaaS business into existence, et cetera? And you can like go down the levels of complexity of like what is promptable into existence?
32:18But on the robot side, if like one day, 30 years from now, you could prompt build me a house. That'd be crazy. But it doesn't seem physically impossible at some point. I don't know. It does not. So I guess you're thinking through this kind of pyramid, and that's informing the way that you go about your investments. I kind of want to now shift over to you building the firm and sort of how you're now, you know, marrying the apparatus that you, you know, are leading to approach the situation where I wanted to start was the thing that I think is very impressive, rare and interesting is you came to Cliner in 2017 and Cliner has this unbelievable history back to the early 70s, super dominant, you know, like investing in unbelievable companies.
33:03Obviously, it was still like a meaningful thing, but it like went through like a trough relative to like those heights. It seems like it's pretty rare that new life gets breathed back into a really storied old venture firm. And I'm just curious to hear about what went into whatever you did to make that happen. Yeah, no, it's it's been the journey and on over lifetime to be a Cliner Perkins since when I joined almost eight years ago. It is the firm that really got me thinking about venture capital in the first place when I was a young engineer in Zilinx. And at the time, there were, you know, the equivalent of tech crunch or your podcasts were red herring and the industry standard.
33:48And whenever you pick up the magazine, the print version, you read about a company and it was like literally always backed by Cliner Perkins. It really got me thinking about what is it that these folks do? And it turns out most of the people that worked at Cliner Perkins, like John Doer and Minoed Kostla and Brookbuyers at the time in the early late in the late 90s were engineers who went to business school, usually one of two and got into VC. And so that's sort of set my sights on I have to go to business school to get into VC. And so, but the dream job coming out of business school was to go to Cliner Perkins.
34:25Quite literally I tried and tried and tried didn't work out, but eventually I did in 2017. And the point of telling you all this is that it was the most storied venture firm through the 80s, 90s and early 2000s. And it is the firm that I looked up to. And I think many of us in industry looked up to and folks like John, who I think is the the goat, the best venture capitalists of all time, two out of the six or seven trillion dollar companies or John Series A's. And so to have an opportunity to be at the firm and put our spin on it and sort of quit a refounding moment of the firm in 2017, which we did truly was and felt like.
35:09And it is what the folks who brought me in, John and Ted and Brook wanted it to happen. I'm just really curious because I know you've gotten a chance to learn from him. Can you share anything about John that you've been able to learn that like made him so good? Because it seems unbelievable to two Series A's are multi -trile like it just seems unbelievable. John has a drive and like no other went when he sees something, he is relentless. He will not shake it off until he gets it. And that's how we probably pursued, I don't know the exact stories of pursuit Larry and Sergei as well as Jeff. But I know that he went up to see Jeff and Seattle in his sort of makeshift loft like building like this and where Amazon was getting started and going to the Stanford campus where Larry and Sergei were.
36:04So once he saw something in those founders and he uniquely has worked with so many of the greats. So many hundred billion dollar plus companies and is still in the board of door dash, still in the board of alphabet. You know, he backed Scott Cook into it compact computer. The list is so insane with John in terms of like the number of hundred billion dollar plus companies. But I think he has a formula of identifying greatness and having this view of products and markets and people that will build probably the most insane companies in the space. John, I think I'm sure he's missed a few too but and he's told me about it.
36:43Some of his misses that would have made him even crazier in terms of what what John's accomplishments would have been. But I think his relentless pursuit of great founders is something I've learned from. So when you came into Clenar, what did you set out to what did you need to do and what were you sort of planning? First, you take stock of what's actually happening on the ground. You come in, I literally spent the first two months meeting with every single person all the way from the front desk person to our all my partners, including former partners, just to understand what made us great. What were the assets and what were the liabilities?
37:23Liabilities and you know, one of the things that didn't work or weren't working and having your own point of view on the things that weren't working. My takeaway was that what made Clenar so great and iconic and produce these epic returns were that we were early stage specialists who was a small partnership of early stage technical people, practitioners who cared about the craft, the venture capital, being in the trenches with founders, really being truly their first partners and their best partners. That was sort of the takeaway of if you talk to Kevin Compton or Doug McKenzie or Joe Lakeob, I mean, these are like the epic partners of the 90s at Clenar.
38:12You took away like there was just and they were all very different. If you meet any of these folks, they were very complementary different. It was a truly a partnership of people who wanted to be exceptionally great at early stage investing and we were not just early stage investing in 2017. So we had all kinds of different products, we had different geographies and so we brought it back to the core. We brought it back to the future moment and that was actually our tagline in 2019 when we raised KP18 was back to the future. So we went back to the future to a small lean team of early stage practitioners.
38:50We did add on a growth fund later on and there was a really good reason for that. But we went back to that. My partner, Ilya Fushman, who was one of the first people I brought on, because he and I saw the world very similarly, which is you want to be a small lean team doing early stage back in the best founders at the series A. And actually maybe just inside is we never had a mission statement. And so we actually created a mission statement. It sounds a little hokey, and the mission statement is that we want to be the first call for founders who want to make history. And the history part was that this firm had made history with its investments.
39:29And I think it was be hard for some other firm to say those those lofty words. But truly, Cliner had made history from the days of semiconductors to then computers to software to the internet. Those four big technology waves. If you look at the list of companies in each one of those major waves across decades, we pretty much nailed every single dominant company in those waves. And so how could we make history again with this our body of work, this this group of people. And especially now relevant to AI, how do we make history with our AI investments? And we sort of brought it back to its core and had a very distinct mission to us.
40:12And that informed what kind of people we wanted to have inside the firm, the partners investing on behalf of our LPs. There, we thought we wanted to have folks for technologies have some operating background. But truly want to be exceptional at investing. Like this is the craft and career they want to really excel at. Not like, you know, I was a founder. That was my peak. And this is like the next thing I do after I start a company. No, no, I I want to do this as my career. And which is why also we've groomed a lot of folks from within, even though I had many years as an operator as an engineer, so did Ilya.
40:50We really got an adventure pretty early on. And we got groomed by some really amazing venture capitalist. Ilya was a coastal event. I got to work with Benode and we got to work with Pure LeMonde. I got to work with Irwin Federman, who was my mentor at USUP. And you know, probably the most legendary semiconductor investor. So we all had mentors and we wanted to create a partnership where we could groom younger folks, associates, principals, also younger partners. And that's, you know, today, you know, some of my partners, Ev Randall and Lemary and Josh Cohen. And so who have really grown up in the business.
41:30And both Josh and Ev were associates back in 2017 -18, that I joined. How do you think about on that topic growing your own talent versus, you know, recruiting in people at the GP level directly, you know, like when I look around at a lot of at least in sort of my cohort of, you know, people in their mid -30s who I consider to be great investors, a ton of them started, you know, at the firm that they're currently at and rose into a, you know, GP level there. So, you know, obviously there's just both examples. How do you think about what you're trying to do as you grow the team? We typically add one person a year or so, maybe Max.
42:10And there's no heart set number about growing the team because we're not trying to necessarily grow fun sizes. And so, you know, at any given point in time, we have five to seven partners. Yeah. And that's in the Yankee years I call them of the final Perkins where every year they're winning championships. There's small teams. It was like seven partners. Yeah. And so I think there's also in terms of like you want to be able to sit around a table like this and have great debate and conversation around investments you're about to make. And at some point you go beyond the seven stuff starts to just be different.
42:48And there's actually research around it that suggests that there's a, the Goldilocks is probably six -ish. And so, you know, if you're five, someone's out that week, you know, you can't have a full conversation if you're seven, you know, maybe people aren't saying things that they want to really say because they want to upset someone. So there's a number. And I think we've continued to optimize for that number. And so, to your question, how do you create that partnership? It's inevitable that not everyone's going to have been home run portfolio. And so, those are the reasons usually why someone leaves.
43:21But how do you backfill or how do you have someone? And usually you sort of, you know, we've tried to grow from within. Yeah. And because that's so important because your culture, can you live the KEPI culture, which is a very much a servant culture. Like we're a servant leadership. We are here to serve our founders. And this is not about us as individuals. It's about our job to our founders, which is to work on their behalf tirelessly to help them become successful. How do you assess talent on the way up? Let's say somebody's been with you for three years and they've got a portfolio. Do you ever have situations where somebody, their investments are good, but you actually don't believe in their future performance or vice versa?
44:05Or do you sort of do you promote inside the firm specifically based on performance? Because it it seems both clear cut and the numbers are the numbers on one hand. And then on the other hand, there's quite a lot of like luck and randomness involved. And so as somebody who has now gotten the chance to see a lot of people develop, grow a lot of people, manage a lot of people and investing. What have you learned about how do you pick career path? There's the seeing. Are we seeing the right investments? Then are we picking the ones that we should be in? Then there's the winning. Are we winning the ones that we should be like if we decide we're going to invest, are we winning?
44:45And our internal goal is actually 100%. If we want to invest in a company, we have to win it. And we keep track of the seeing, the picking, the winning. And then the hardest one to actually, which takes the longest period of time to figure out is working, working in investment, meaning like how are you helping drive the success of a company? Which in many ways is the is a function of the founder and their team, but we're trying to help work it as well. If you're sort of three years in, you're, you know, you've been seeing and you've been picking. So we know how you see and you pick. And if you're just really good at like seeing stuff and some great founders and also then winning, like you're capable of winning what we think are the investments we should be.
45:32Like if you can do that whole cycle, then you're, you know, like, and you see that, you see that day to day, like you're bringing in great investments, who are great founders that we actually want to invest in as a group. And then you're actually winning them. You can win them. Yeah, that's a sign. Okay, then now that's great. It's awesome. But now it's time to show that you can work them. Are they producing revenues, profits, real iconic company status, or at least are you on, on track for that? And can you have, you know, per fun cycle, like one company that we all are really proud of, you know, you know, in a fun cycle, we invest in 35 companies and the math suggests that we need like two outlier type outcomes and a couple more.
46:14They're really great. And which means that every partner has to like deliver a company per fun that you look at. It's like, yeah, it's a really good company. And so that becomes more apparent over, you know, from year four to seven. You know, and so, but you get to have multiple shots on goal. And so part of it's really like, can you, yeah, see pick win, but are there true outlier outcomes that you're producing for the firm? You said it's important to win always if you want it. Yeah. Why is that? Like, why is it not okay? What? Why not aim for 70 % win rate? Like, why is it not even actually me to ask it this way?
46:53Why would you not prefer a 70 % win rate, which implies that there were some that you went for that were so good and got so competitive and whatever. We actually have a lower rate at the seeing. We don't need to see everything. We don't need to be fully exhausted at seeing. And internally, like our target is to see 60 % of all series A's that get done by a pure pure set. Series A is what you care the most about. Yeah. That's where we measure it religiously. Like, we look at it on a weekly basis. We look at our, like what series A's were announced, do we see it or not? And seeing means you actually met with the company.
47:25Not just like you heard of that. Yeah. You saw it. You spent time. You spent time on it. Yeah. And you deliberately decided to not do it. Like, there was a decision made by you as a partner, as a team. We all. And so that's what we really keep it looser because you don't want to be so exhausted that they're just chasing around right companies just because you heard someone's raising this series A. You want to have a real look at it and real assessment of the company and have a point of view on it. On the winning piece, we believe that, you know, and then you pick, you know, we decided to pick.
47:55We decided like we want to do this. Let's go win it. Let's go do the full team tackle. Let's use all of our resources to win and convince founders. We are best suited to help them win. And that comes via endorsements from our founders, you know, getting, and that's usually the biggest thing. It's endorsements from our founders. It is they see some of the work that we do for them with them. But we have to win because we have the wind in our back of like the brand of a client of Perkins. We have the resources of a client of Perkins. We have endorsements from founders like we there's a network like and we feel like we're best suited to be that series A partner.
48:37And if you decide to otherwise, we're going to look back and introspect on why we didn't do better for you. Why we can convince you better because we believe our track record from series A to success is very high. And why would you not want to work with us? That's how we believe. But if we don't pick us, we have to really introspect. And we actually keep a spreadsheet of all the losses at the and then we revisit them at every off site. And we look at like, okay, did we miss the good ones or the not so good ones? And what was missing in our playbook as to why we didn't win that investment? Does maybe takes me to one of the things I most wanted to talk to you about and try to learn from you is what I perceive around incredibly good picking over a lot of years into a lot of interesting companies.
49:28And you know, I'm sure I'm going to be missing something, but just like off the cuff, I can think of, you know, we talked about box, there's Figma, there's applied, there's Rippling, there's like, there's more, I know there's a lot more slack, slack, clean, good ones. Very good. Like past a point where it's like, looks lucky, you know, it looks like something's going on. You just talked about, you know, being able to win all the time. I guess the first place I'm curious to ask about is were those investments hyper competitive when you did them and was winning a huge factor in them or when you look back as the part that you're more proud of that you picked something very accurately?
50:05Like did everybody see that they were good and you just won or did you have an insight other people didn't have? Yeah. If I look back at box in slack, which chronologically were the first two that you mentioned, those were not competitive. I think there were no other offers at the time of investment. Box for sure because Aaron was having a hard time raising around slack. It was just too early for anyone else to take note of the early success. And maybe just to break it down a bit in terms of, for most of my investing career, I've really been excited about productivity. And that sort of goes back into my growing up in Germany where everything's so efficient, so productive and you're like constantly thinking about, okay, how do I make this more efficient?
50:52How do I make this more productive? So, and I always saw that software in the cloud, lots of way better experienced for productivity than desktop software and all kinds of other ways of doing work. And so, and I made the sort of kind of a major of mine is workplace productivity. And so, when you find encounter founder like Aaron around big categories of productivity, you sort of, they see the world the way you see it and you're back them. And so, you have what we call a prepared mind. You approach it with a prepared mind. So, you already come into the meeting with a bit more of a, you're leaning in before you've met them because you know what they're doing.
51:28In the case of Slack, just to give you a sense, like it was a, you know, a gaming company that had pivoted become this, this, this chat IRC thing. And we'd heard that a few of our companies were using it. And one of the founders we backed really like, hey, like we loved using this thing. And it was, you know, a few thousand users. But there are other, lots of other chat products. And by the way, like you could say, like, why not just use iMessage or why not just use gchat. And there are a few other products like it. So it was easy to dismiss it at the time. But what you couldn't dismiss was the level of engagement.
52:04And I think at the time, no one was asking some of these, this is like 2013. No one was asking like the engagement questions around like, you know, L28s or down, it was not a thing for enterprise software. The engagement there was insane, right? It was insane. It was like a 50 % down, out four hours a day instead of Slack. And I think just being a little bit early on into understanding what was really happening with Slack and not dismissing it. And actually someone overpaying and making an offer to come reviews. You know, at the time, like investing 25 million at 250 posts for a series A company felt insane in 2013.
52:42But what's, I would say across the board between Aaron at Fox or Stuart at Slack or Dylan at Figma or Arbineg they're on this general like workplace productivity category. But they were pretty product obsessive founders who had hooked so many holes at their own products. And as a product obsessed investor, I actually don't get product advice because if I've invested in a product obsessed founder, it'll be quite the insult to them to tell them where they should improve their product. But you're finding people who are way better than you at certain things, which is a product and building in categories and areas that you care about.
53:24So file sharing in collaborative design in workplace communications in enterprise search. And these folks all had like deep, deep ties into this for many years, even though they were fairly young when they started a couple of folks were very young when they started. Aaron was 21. I think Dylan was maybe all of 19 or 20 when he started Figma. And in the case of Figma, you know, it was also just sort of post launch product. And again, but not super competitive at the time. I think they had other offers, but they were a company that had been around five years. I have a history of investing companies that have been around for a while before I invest in them.
54:02But the next, the new thing or the product they launched way many years in is the thing that works. In the case of Figma, five years in, you launch in July of 2017 or something, it starts to take off a little bit. And but it's the end is so small. And if there's one learning I've had over my career, like, or one thing I've used a lot is small and high engagement is a really good signal to invest in a company and get early, get an earlier, not competitive, better pricing, all the things I come with it, hence better returns for our investors. And, you know, you ask like, so what are the things that unifying sort of archetypes here?
54:41I would say one is the product obsessed founder. And the other archetype is the Parker at Ripley, and Casder at applied intuition is visionary. But the one thing they're better at than being a visionary is just an execution machine and run through brick walls, will the future towards themselves like, like you think about what Parker's built with Ripley, like this compound startup beyond just an HRI asked to finance cloud to IT and literally like 25 different products now, is you kind of have to will that to your way, the world your way to do that. And the same thing with what Casder has done and applied to tuition, going into automotive and selling software and the the automotive industry is like, you say that's like a DLA.
55:33You don't even go there as a startup. And what he did with the vision and selling and being very methodical and surgical about how to pursue his customer base and becoming sort of a de facto solution for like almost the whole automotive industry. How do you figure out when you're spending time with a founder, whether they are one of these things? Like, is it intuition? Is it like you've been doing this for a long enough that you have a strong intuition? Is there some process to it? Do you just know it when you see it? Like is there anything learnable from you about finding these founders? Because obviously it's, we all know these people now, but at the time you did it, other people got to meet them too and not everybody saw the exact same thing.
56:13I'm looking for intentions, like true intentions. Like you really want to be doing this and doing this for the next decade of your life. How do you figure that out? Just when conversations and things that are said, even unsaid body language, what motivates you, what drives you, why you're willing to commit your life to this. You sacrifice family, other things in life to go do this. It's a bit of like the genocic law around like the person. You know, you've been, I'm an engineer by trade, but like I look for the EQ and like use the EQ I have to figure out some of those things of the other person.
56:55Yeah, like good people, moral compass, nor star. Like you sort of like, are you doing it for the money? Are you doing it for fame? Are you doing it for power? We talked about this earlier. Or do you just really want to solve problems that exist in the world and you're uniquely capable of solving these problems? You talked about how you know, series A is the thing you care the most about. Obviously, the context that you're running the firm in is both like storied firm with, you know, infinite sort of brand and access both to entrepreneurs and dollars. And you also have, you know, the sort of keys to do what you'd like with the firm.
57:34And so you could have run a lot of different strategies here. And you've picked a particular one. Can you describe the strategy that you, you know, would say you're running and why you picked that for KP? Yeah. As I mentioned, we have an early stage fund today that's $800 million. And the strategy there is we invest in about 35 companies per fund. And in order to return a five X on that fund, we need to have, you know, that be a four billion dollars, which means that that basket of companies has to be worth 40 billion in us own 10 % of it. Yep. Okay. For the math, the work for us. And the simple math out of the 35 companies need to have two fund returners that get you pretty close to the five X.
58:19So that's one part of the strategy. The other is we have a select fund, which is today, it's a billion, 1 .2 billion. And half the dollars typically go into our best companies like Figma, Ripling, and Glean, and Harvey and others. And so where we double down, use it as a vehicle to double down into companies, we're already on the boards of we're already heavily involved. All the resources of kind of Perkins are being applied to it. And we just see that this is just has greatness written all over it. And sometimes you can sort of preempt it and do it very easily with the founders where it's easy for them.
58:57It's easy for us. And we want to give them give them more. We've done that many times in the last few fund cycles. Like it's literally it's like half the fund is those companies. And that's the other half is then things that we missed at the series A or B. You know, we see a large swath of the companies, inevitably we're going to miss and not pick wealth at the A and the B. And if we really kick ourselves like we'll do like one to two of those a year where we we missed out on the A and the B and we're going to do it out of the growth fund. And so this allows the one partner group to do invest out of both funds.
59:33And it keeps it still very manageable. We all are based in one office. Well, two offices. Sam just going mental park. We all go to the office on Monday's and mental park for partner meetings. We all sit together and we get to see each other like multiple times a week. And that's by design. It's by like trying to use a table like this to make good decisions sitting around the table, debating, discussing making decisions together. I don't know if this is fair, but it almost seems like what I'm hearing is like as big and impactful as possible constrained by this one table situation. Yeah. And I think just to take that in the context of we're in San Francisco right now.
1:00:10And if we all know what's going on in San Francisco, in fact, like in this like five block radius of here, lots of incredible stuff is happening. And if even just half of all the amazing stuff that happened in tech still comes from San Francisco to San Jose and we're there, that's plenty of pie to eat. Yeah. You don't need a Europe office. You don't need to be all over the world. Yeah. To maybe to wrap up, I'd be curious to hear and I haven't gotten spend a ton of time with you outside of this. And so I'm just interested. What else in your life is important to you and like how that balances with, you know, your work, which obviously is of course very central to, you know, your life.
1:00:50Yeah. The only thing that's more important to the work that I do is obviously my family. I wife and for beautiful children. And I was telling you earlier, I got to go for Hodges this year. So the pilgrimage to Mecca that every Muslim is supposed to do once in their lifetime. And it was quite the the spiritual journey for me, especially in a time when a lot of life hit us in our family actually. And so faith is really important to me. And it's also deeply rooted into every encounter that I have with every person. Part of the beauty of Hodges that it is two million people who come from all walks of life.
1:01:31And they have all the different skin tones in the world. But yet in front of God, we're all one and we're all the same. And it's just roots you into how do you treat each other as human beings. And it is sort of the more compass that I have around like every interaction matters whether be with a six -year -old child or a 30 -year -old, you know, a billionaire founder. And how do you treat each other? How do you give them the respect, the dignity, and the attention in that moment in time. And so I've sort of tried to live my life. And it's a I get to remind myself of that, you know, through through faith every day that, you know, there's a there's a reason you're you're supposed to do things a certain way.
1:02:16And a decorum and an etiquette and a way of life that, you know, just shows gratitude but also, you know, shows up. And I think I try to bring the best version of me to every meeting. It's not possible. But it is part of like the I think of it put myself in the shoe of founder. Typically pitching to VCs is like a really it's like the biggest thing you could be doing in that moment in time. And it's intimidating. You're trying to raise capital. You're putting yourself out there. And if I can make them feel just a little bit more comfortable and more respected and acknowledge the work that they're doing and the all the blood sweat and tears that they're putting into this and the family sacrifice they're making.
1:03:03And just like empathize with that and have some humility around what they're trying to do. I think we can just make that experience a lot more. Just just better follow us. Yeah, well that's awesome. Well, thanks for sharing that and really appreciate making time for this again. This was this was great. Thank you, Jack.
From the publisher
Mamoon Hamid is a Partner at Kleiner Perkins. He has been an early investor in and served on the boards of some of the most innovative software companies of recent times including Slack, Figma, Rippling, Glean and Box. Prior to joining Kleiner Perkins, Mamoon was a Co-founder and General Partner at Social Capital. He started his venture career in 2005 at U.S. Venture Partners (USVP) where he eventually became Partner. Mamoon came to Silicon Valley in 1997 to join Xilinx, a Kleiner Perkins company, where he spent six years, initially as an engineer and later in product and marketing roles.
We covered:
Comparing innovation cycles
AI’s $60 trillion opportunity
The future of robotics
Reigniting a storied firm
Investing in Box, Slack, and Figma
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Timestamps:
(0:00) Intro
(0:29) The dot-com bubble
(7:12) Web 2.0 and cloud
(16:03) Early days of mobile
(17:51) AI’s $60 trillion opportunity
(21:48) Where to invest in AI
(28:39) The future of robotics
(32:35) Reigniting a storied firm
(41:36) Growing vs recruiting talent
(46:42) Win rate aspirations
(49:16) Investing in Box, Slack, and Figma
(54:36) Assessing founders
(57:14) Kleiner Perkins’ strategy
(1:00:52) Family and faith
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More on Kleiner Perkins and Mamoon:
https://www.kleinerperkins.com/
https://x.com/mamoonha
More on Alt Capital and Jack:
https://www.altcap.com/
https://x.com/jaltma
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https://linktr.ee/uncappedpod
Email: friends@uncappedpod.com




