2024-04-11 | Lenny's Podcast | Hard Truths About Building in the AI Era with Keith Rabois

硅谷传奇Keith Rabois揭秘如何通过顶尖人才选拔与无情执行力打造超级团队

播客 科技 商业 管理
人工智能 组织建设 人才招聘 高绩效团队 商业洞察 执行力 深度背景调查 创业管理 产品思维 硅谷管理哲学 +6

媒体详情

上传日期
2026-04-14 22:08
处理状态
已完成
转录状态
已完成
LLM 提供商/模型
cursorhub/gpt-5.4 (reasoningEffort=medium)
音频播放器

转录

下载为TXT
speaker 1 [00:00:00-00:00:06]: The idea of a PM makes no sense in the future. The skill is more like being a CEO now, which is what are we building and why?
speaker 2 [00:00:06-00:00:08]: There's a lot of anxiety in the job market.
speaker 1 [00:00:09-00:00:25]: AI is going to radically reorient lots of people's careers, and maybe including mine. What I've noticed in some of the best organizations is the number one consumer of tokens is the CMO. They don't need to rely upon deputies and deputies and deputies to get actual work product.
speaker 2 [00:00:25-00:00:29]: I want to hit on some contrarian takes that you have. Your advice, you don't actually want to be talking to customers.
speaker 1 [00:00:30-00:00:33]: I hate talking to customers. I refuse to allow colleagues of mine to talk to customers.
speaker 2 [00:00:33-00:00:36]: You have this idea of criticizing in public versus in private.
speaker 1 [00:00:36-00:00:39]: High performance machines don't have psychological safety.
speaker 2 [00:00:39-00:00:44]: They're about winning. You're uniquely great at helping companies build world class teams.
speaker 1 [00:00:44-00:00:52]: If a founder shows the ability early in his or her career to assess talent ruthlessly and accurately, here she can go very far with no other abilities whatsoever.
speaker 2 [00:00:52-00:00:55]: It feels like it's never been harder to attract the best talent.
speaker 1 [00:00:56-00:01:10]: Really talented people. When things are going well, they're not. UM HAPPY THE MORALE ACTUALLY DOES GO DOWN WHEN PEOPLE ARE SKATING THE SINGLE ROLE FOR THE CEO IS OFFSETTING THAT COMPLACENCY TO BETTER YOU'RE DOING THE MORE THE CEO SHOULD PUSH.
speaker 2 [00:01:12-00:02:06]: TODAY MY GUEST IS KEITH RABOI KEITH'S RESUME BOTH AS AN OPERATOR AND INVESTOR IS ABSURD HE WAS AN EARLY INVESTOR IN STRIPE PALANTIR AIRBNB AND YOUTUBE DOORDASH RAMP AND DOZENS OF OTHER COMPANIES HE'S PART OF THE FAMOUS PAYPAL MAFIA WHERE HE WAS EXECUTIVE VICE PRESIDENT BUSINESS DEVELOPMENT AND POLICY HE'S ALSO BEEN CHIEF OPERATING OFFICER AT SQUARE VP OF CORPORATE DEVELOPMENT AT LINKEDIN HE'S ALSO CO-FOUNDED TWO COMPANIES AND HE'S CURRENTLY MANAGING DIRECTOR AT COSLA VENTURES. It's safe to say that Keith is in the ninety nine point nine percentile at identifying talent, building teams and operating world class companies. Before we get into it, don't forget to check out Lenny's productpass dot com for an incredible set of deals available exclusively to Lenny's newsletter subscribers. With that, I bring you Keith Raboy。 Keith, TH you so much for being here and welcome to the podcast.
speaker 1 [00:02:07-00:02:08]: IT's a pleasure to be with you.
speaker 2 [00:02:08-00:02:20]: OK, so when we were starting this recordingORD, you told me you're doing this from an iPad, which I've never H, and you shared a crazy fact that you havenVEN' used a computer in like years. Talk Talk about what'sS going on there.
speaker 1 [00:02:20-00:02:36]: Yeah, so when I started working at Square, Jack Dorsey was running the companyY off an iPad, and so I immediatelyVER in SeptemberBER 2010。 and have a look back. I haven't touched a computer since september two thousand and ten. Everything I do in my life is either done from my phone, my watch or my iPad.
speaker 2 [00:02:37-00:02:52]: What's so interesting about this as you were talking is just there's this trend of engineers starting to code from their phone, like at Boris Johnson and Simon Wilson, these two engineers that are like TDX engineers, and they're just like coding from their phone talking to AI. And I feel like you've been preparing for this for a long time.
speaker 1 [00:02:52-00:02:59]: Yeah, trying to be ahead of the curve. Jack's very good at being out of the curve. If you just watch what Jack's doing and follow, he's in pretty good shape in technology.
speaker 2 [00:03:00-00:03:03]: And just understand the benefit is it just avoid distractions?
speaker 1 [00:03:03-00:03:34]: Yeah, partially distractions, partially just the flexibility like taking an iPad with you anywhere is just super easy. You know, some laptops have improved since then, but like the screen flexibility angles, but like just the weight. Like I carry my iPad with me everywhere. So there's no reason there's nothing you can't perform unless maybe if you're doing heavy duty engineering, which obviously has not been my forte in life, although I may have to start. There's no reason to use. A MORE POWERFUL HEAVIER WEIGHT LESS FLEXIBLE MACHINE.
speaker 2 [00:03:34-00:03:36]: WOW IPAD MAXING KEITH RAVO.
speaker 1 [00:03:36-00:03:39]: Y SEE IF YOU GOT MY APPLE AS LONG AS IT'S AN APPLE PRODUCT OR WORK.
speaker 2 [00:03:39-00:04:41]: S SO APPROPRIATE THIS EPISODE IS BROUGHT TO YOU BY OUR SEASON'S PRESENTING SPONSOR WORK OS WHAT DO OPENAI ANTHROPIC CURSOR VERCEL REPLIT SIERRA CLAY AND HUNDREDS OF OTHER WINNING COMPANIES ALL HAVE IN COMMON THEY ARE ALL POWERED BY WORK OS. If you're building a product for the enterprise, you've felt the pain of integrating single sign-on, skim, RBAC, audit logs and other features required by large companies. WorkOS turns those deal blockers into drop-in APIs with a modern developer platform built specifically for B2B SaaS. Literally every startup that I'm an investor in that starts to expand upmarket ends up working with WorkOS, and that's because they are the best. Whether you are a seed stage startup trying to land your first enterprise customer or a unicorn expanding globally, Workos is the fastest path to becoming enterprise ready and unblocking growth. It's essentially Stripe for enterprise features. Visit Workos. com to get started or just hit up their Slack where they have actual engineers waiting to answer your questions.
speaker 2 [00:04:41-00:05:42]: Workos allows you to build faster with delightful APIs, comprehensive docs, and a smooth developer experience. Go to workos. com to make your app enterprise ready today. As I was preparing for this chat, there's just like so many directions we could have gone with this. You're so smart at so many things. i wanna focus on something that i think you're uniquely great at, which is helping companies build world-class teams. And I want to start in particular with attracting the best talent. And what's really interesting these days, from what I can tell, is there's just like a lot of people that are struggling to find a job. It's taking longer to find a job. It's just there's all these layoffs. On the other hand, it feels like it's never been harder to attract the best talent. There are so many amazing companies doing amazing things, so much money flying around these $100 million offers and things. And so from the companies that you are closest to that you see are best at attracting the best talent, what have they figured out? What are they doing differently?
speaker 2 [00:05:42-00:05:43]: What are some creative things they do?
speaker 1 [00:05:44-00:06:49]: Well, let's start with first principles. The most important lesson I learned when I was working at Square from my board was Vinod Costa was on my board, and he said the team you build is the company you build. And that adage is the most important thing when you're creating a startup. People get distracted with the market, with customers, with the product, with technology. Ultimately, it's a team. If you have the right people, everything else will be easy. And if you have the wrong people, everything else is going to be difficult. So I actually learned this Vinod distilled it, but I actually learned this back in my PayPal days. So you know, in the early 2000s, why was PayPal so successful? Why were there such a you know subsequent generations of successful interesting companies? For 2 5 years now,it is because Peter Thiel and Max Levchin marshaled an incredible density of talent,so it allowed PayPal to succeed where possibly we would not have,and these people went on with interesting ideas,ambition and talent to build epic companies,you know,in all kinds of verticals,so from day one,although he has been day one of my technical career。
speaker 1 [00:06:50-00:07:52]: Technology career,I've always been focused on how the importance of critical density talent,how do you identify,retain and promote people with that talent? Back in the PayPal days,when I first started my career in technology,I actually truthfully was not very good at this。 Fortunately,Peter and Max were so Max basically hired all the technical talent in the organization,Peter pretty much hired everybody else。 They use their network primarily, so it was very difficult to get a job at PayPal unless you had a first degree or second degree connection to the engineering team or to Peter through Stanford, which is a different type of recruiting model. It works really well if you have a strong network. I wouldn't recommend it for everybody, but if you have a network that has unique. Tell it there's no substitute interviews are not a great substitute regardless of how strong you already interview, but when I started back three years ago, I was mediocre at let's say hiring people probably 5050, you know some good people, some mediocre people that doesn't allow you to scale a team with an unfair advantage.
speaker 1 [00:07:53-00:08:50]: But what I learned to do is steal people from other people's organizations within PayPal very successfully. So I got feedback from David Sachs, who was the CEO at the time, that I wasn't going to get promoted again until I could demonstrate leverage like leadership leverage, which he had an equation for of one plus one has to equal three or more. So for every incremental person you hire, you have to show that you produce disproportionate returns, non-linear returns. And because I wasn't hiring that well, I wasn't really succeeding at that leverage. So when I went around, took the feedback into account and said okay, I really want to get promoted. What do I do? So I found people within the organization that felt had talent that were were not being leveraged to the highest potential ambition, and I recruited them to my team. And that was very successful, and then I did get promoted actually fairly quickly because the people actually up to speed they were able to run really fast and we produced a lot of really important results for the company.
speaker 1 [00:08:51-00:09:51]: The lesson though that I took away was well that's great because what it showed to me is I actually could identify talent, I just couldn't identify strangers with talent. So people that were in the building that I have lunch with or dinner with or go for a run around the PayPal campus with. I was accurate at diagnosing their abilities, I just couldn't do it, you know, in a 20-minute, 30-minute, 45-minute interview. So the first hand is just double down on people I know that doesn't scale perfectly, but learn to be excellent at if I had context assessing people's abilities, superpowers and you know weaknesses. Then over the next X years, try to identify ability a different technique for identifying assessing random people because ultimately if you're going to build an organization, ultimately if you're going to be a VC, you can't just invest in people you already know. So that took some years and requires some training. Anyway, i think you can teach some of this to a founder.
speaker 1 [00:09:51-00:10:53]: But one advantage a founder houses going to thrive is if a founder shows the ability early in his or her career to assess talent ruthlessly and accurately. Here's, you can go very far with no other abilities whatsoever. Hiring is like a muscle. You need to exercise it. You need to try learn what worked, which didn't what could you have known? What would you miss? Why? And, you know, riff on that and try to get better at it. There are tactics you can learn. I think the tactics work pretty well within the middle of a bell curve distribution of moving yourself, 10, 20 degrees within that bell curve. I don't think the tactics can really teach you how to identify call it like top 10 basis points, top 50 basis points of talent. There you have to deviate from the norm and i think that's actually true of most lessons in life. If you're going to be extraordinary in any skill, you can't follow a playbook. Otherwise by definition, lots of other people would be, you know, the top 10 basis points, but but you can get a lot better by learning techniques.
speaker 1 [00:10:53-00:11:23]: So for example, let's share a couple one thing. I think you can learn to do is is be excellent at references. It doesn't work for hiring people right out of college or something, because the reference context is going to be a little off. But I think without getting better and interviewing and assessing, if you just learn to extract the right information from ruthless referencing. So for example, ruthless referencing to me means Tony at Jordas does 20 references on every single senior hire 20.
speaker 2 [00:11:24-00:11:24]: Wow.
speaker 1 [00:11:25-00:12:32]: I bet you he is pretty good。 I bet she has been pretty accurate too。 So I think you can learn that that is like a skill that is teachable。 That being absolutely you know incredibly dedicated to your craft,you can just get better at back in the day。 There is an investor at Greylock who is on my board at LinkedIn,David Z,very successful investor,notable for both LinkedIn and Facebook investments。 He used to teach at Greylock, you couldn't stop reference being a founder until you hit a negative reference, so you would know you had exhausted the reference when you finally hit a negative reference. And so I think there are tactics there in muscle building: how do you get the right information from the right people? How do you frame the questions? Etc. That will lead you in the right direction. Now you have to be careful, like let's say I'll give you an example where this can go wrong. I've been a longtime investor from the seed round of company called Fair, founded by two of my colleagues at Square, Max Red and Jeff Caulfieldson worked for me at Square, and then the two other co-founders also worked at Square.
speaker 1 [00:12:33-00:13:16]: When people were reference checking Max, often most VCs asked the wrong question, which was Max was Max a good employee? The answer to that is very mixed. And so some venture capitalists, including some very good ones, were nervous about investing in Fair. If they framed the question slightly differently, which is Max capable of being a world class entrepreneur, the answer was yes. So again, it's like a tactic you have to understand like what exactly am I trying to extract? Same person wrong question wrong result and many people passed unfair and they regret it. And these are actually quite talented investors. They just didn't frame the question correctly when they were calling someone like Jack Dorsey up for the reference.
speaker 2 [00:13:17-00:13:20]: Any other questions you find really helpful in extracting the right information?
speaker 1 [00:13:20-00:14:10]: When I interview candidates for senior people and leadership positions. I always ask them, you know, look at whatever company they're out and say if you were CEO, what would you have done differently? And you get a feel for their strategic mindset of you know can they drive value creation because almost by definition they've come from a company that's had some traction success. So can they edit? So for your case, I would have asked you, you know, if you were CEO of Airbnb, what would you have done differently? And you learn a lot from that question. On references specifically, i think the a general arc that's pretty good is asking the person what would lead to this person being most successful. And if something were not to work out, what would be the primary root cause that you can identify if something going wrong? I think. generally probing on those two arcs leads to a lot of insight.
speaker 2 [00:14:10-00:14:13]: and that first question is for the candidate or.
speaker 1 [00:14:13-00:14:43]: is that for the candidate? that's for the candidate specifically got it,because it's not i don't want them to criticize airbnb in vienna,that i don't think that's that productive,but you can tell how much of the current business model have they absorbed. How much do they understand tradeoffs? And then they can they create an unfair advantage, you know? Because they have insights into afterburners. And then I have a follow-up question, which is usually gold, which is let's say I ask you this question about Airbnb and you give me this great answer. I'm like, well, why weren't you able to persuade Brian to do it?
speaker 2 [00:14:43-00:15:09]: So you made this interesting point that there's like tactics that can help you get better at finding and identifying talent. A lot of this is just the feedback loop of doing it a bunch, sounds like. I find the feedback loop is so like it's hard to actually like like most people interview hire and then don't really learn much from how it ends up going. Like there's this gut thing that happens, but they're not like really thinking about it. Do you have any advice for just how to make the most out of the lesson of seeing how something went?
speaker 1 [00:15:09-00:15:32]: So I've read some research on the topic and if you ask yourself thirty days after any hire, would you make the same decision? That 30-day loop is pretty, pretty useful, and it basically, it's as accurate as measuring it a year or two years out. So you got a pretty tight feedback loop, and you can ask the entire hiring team. So I think that is just a technique that every company should use.
speaker 2 [00:15:32-00:15:42]: I want to talk about this framework that you have barrels and ammunition because this. Is really mind expanding and helping people understand who to even hire.
speaker 1 [00:15:42-00:16:43]: So look, most companies raise money, they have some traction, they you know just see brown, they get launched, get some traction, then they raise a lot of money, whether it's a series A or series B, and then they hire a lot of people infallibly or at least historically, and then the CEO. Almost without exception gets frustrated because they've hired a lot of people, the burn rate has increased a lot, and they don't feel like that's more getting accomplished per unit of time, per day, per week, per month, per quarter. And they get frustrated, and so then they sit around at a dinner with other CEOs or people like me or one-on-one conversation with me and are incredibly unhappy and disappointed that I'm spending all this money on all these people but we're getting less done or the same done. And why? Why? Why? Why? After years of sitting through these conversations at dinner with other CEOs or COOs, I realized that the fundamental driver of this is that the number of people that can. Independently drive an initiative from beginning, from inception to success is very limited within any company.
speaker 1 [00:16:44-00:17:50]: And if you hire more people without expanding the number of what I call barrels that can drive from inception to success, all you're doing is stacking people behind the same initiatives. And so you're wasting time, energy and increasing your collaboration tax, your coordination tax. And so that's what causes the drag coefficient. So for example, at PayPal, we had about 254 people in Mountain View when we were acquired. Of those people, depending about how strict you really want to be, it is considered one of the best talent-rich networks of all time in technology. There is between 12 to 17 barrels in the organization, that's like an infinite number. I once asked Jack Altman on a podcast at Lattice, which is pretty damn good company. How many barrels of company? The answer was two. That's a more common answer. For a very good company, so you have between two and let's say 15 barrels on a company that defines unique number of things you can do in parallel versus sequentially, and just hiring more people is not going to change that, and many things just going to cause a collaboration or coordination tax, and you're going to have a traffic provision, you're going to do less.
speaker 1 [00:17:50-00:18:14]: So the key is to me is if you want to do more, need to do more, your market requires you to do more, your business model requires you to do more, VC's require you to do more, you need to have more barrels. Now the question is how and when and you know there's a lot of details there, but fundamentally the ratio of barrels to ammunition is what. Dictates the number of important initiatives that can be pursued simultaneously.
speaker 2 [00:18:14-00:18:20]: and you're not saying you don't want ammunition like it's valuable to make an impact. You need ammunition in addition to yeah.
speaker 1 [00:18:20-00:18:52]: you definitely need ammunition. And depends on what kind of project there are types of projects where an individual barrel may be able to succeed with very limited or no you know ammunition. Sometimes you may need a designer, an engineering team, a PM, a data analysis, blah blah blah. To depends on what the project is, what the problem you're trying to solve is, what's the proper amount of ammunition. But once you think about the ratios of ammunition to the problem, you can be much more constructive and deliberate and intentional about the team construction.
speaker 2 [00:18:53-00:18:59]: Most people hearing this assume they are barrels. What helps you understand if someone is truly a barrel?
speaker 1 [00:18:59-00:19:27]: Can they take an idea and make it happen? Basically, we're going up that there's a hill over there. That's the hill, get us over that hill in one way or the other. They will motivate. People if they need to, they will accumulate resources if they need to, they will measure what they need to, and they're going to get your company across that hill. That's a barrel. Anything less than that is not a barrel.
speaker 2 [00:19:27-00:19:34]: And so this is skills like internal polit org stuff resource like strategy like what yeah it's kind of the collection of all the things.
speaker 1 [00:19:34-00:20:29]: to get collection of all those things. And so basically there's an outcome CEO wants CEO founder wants an outcome. And come hell or high water, this person is going to deliver that outcome. Now the outcome can be fairly narrow and not that difficult in the beginning. And then you expand the scope, you know, the complexity, the difficulty that you basically entrust to your barrels. And sometimes they have no line of sight to how to solve it when you start. Sometimes you have a preliminary idea. So it ranges. But ultimately, it's that skill of I'm going to take this off your plate, you can fire and forget, and this is going to happen. And if it's not going to happen, I'm going to come back to you proactively with the issues I'm confronting, what I've already tried, the diagnosis of the root causes, and ask for your help with sufficient time for you to intervene and try to brainstorm with me to get us to the right answer.
speaker 2 [00:20:29-00:20:32]: Agency is the word that comes to mind when you talk about this role.
speaker 1 [00:20:32-00:20:41]: Yeah, I think agency is accurate. The problem I have with terms like agency is it's like a little bit like strategy because in one year a lot of people and out the other year and they don't really process the meaning.
speaker 2 [00:20:41-00:20:47]: Yeah, who are some examples of barrels that make this real to people can understand what you're talking about?
speaker 1 [00:20:47-00:21:49]: You know, I talked to my YC lecture in twenty fourteen about how to operate. They can be as simple as the now somewhat famous in technology smoothie test. Which is you know, we used to have engineers work pretty hard at square and pretty late, and I always wanted them to have like food so they wouldn't be famished, they wouldn't be distracted, and I didn't really want them to eat like junk food because I actually think junk food's bad for you, bad for your brain, etc. So settled on delivery and really wanted to provide like at nine PM like cold smoothies. And we had at that time a pretty substantial team at Square Office Team EAs, you know, this was not a lean mean organization, and so I tried through the Office Team. Yeah, and nothing we never got healthy delicious and cold smoothies delivered at 9 PM, just kept that one. It's getting frustrating because if the smoothies aren't cold, then no one's going to eat them.
speaker 1 [00:21:50-00:22:37]: They don't arrive at nine and no one can really bake on you know the refresher or refreshments. Everything went wrong,and then I had this intern named Taylor Francis,and I was explaining just my frustration。 It was like a second day at work。 And he's like, I'll solve it. And I was like, okay kid, good luck with that. Like I was like, sure, keep trying. Try anyway. Day goes by nine o'clock arrives. And lo and behold, smoothies show up at 9pm delivered on the standing desk table where the engineers would congregate. I sample them, they're cold, they taste great, and I'm like, oh my god, I found a barrel. And I later gave him almost everything to do.
speaker 2 [00:22:37-00:22:56]: I want to go back to actually the first question. We did you shared some amazing advice for how to identify great talent, but I'm still curious when you find that barrel, for example, when like everyone's throwing money at them, there's all these amazing teams to join. What are some things that companies do to attract and convince them to join their team?
speaker 1 [00:22:56-00:23:55]: There's standard stuff is still true. Mission selling the vision of mission is indispensable. Most people have proven talent anyway, at least in the current world, are going to attract offers for multiple opportunities. And so you've got to convince them that your opportunity is very special. I think one way to do that that's a little bit more nuanced is convince them that their particular skill. Overlaps with the critical blockers to the current company, meaning they're betting on themselves. So for example, if they are superb at let's say marketing, if the biggest blocker of the company in the company's current success is not technology, not the product, but we believe it's marketing. It's really easy to go to a world class marketing person and say, not only is this great company building something really cool and interesting that you'll be proud of, but your particular ability. Is very unique and differentiated, and you can solve this.
speaker 1 [00:23:55-00:24:51]: This is actually how I wound up at Square back in 2010. I was actually... I had just been aqua hired into Google and was planning on being a VC actually next after I was kind of like vesting whenever Google is going to compensate us. And then the investors in Square called me up, and they said, hey, we've been looking for almost a year now for someone who knows something about financial services yet is still an entrepreneur. And they're like, hey, there's only three of these at the time 2000s, like there's only really two or three of you in the world, you know? So would you be interested? And I said, well maybe, but that was the argument to me that made me. Leave Google early, like after two weeks and infuriate everybody and bypass venture for another three years, which had been my plan was because they made the argument that hey, I was one of three people in the world that could actually do this job.
speaker 2 [00:24:51-00:24:55]: So there's like a... I don't know if it's ego, but it's also just like impact.
speaker 1 [00:24:55-00:25:48]: Yep, well exactly impact. Like you have talent, you want to use them and you want to feel that you're challenged every day. And that what you're doing really, really matters. So I think that can be extremely helpful. My more important arc in this is I think you have to build a company on undiscovered talent. Like I don't think you really want to compete for the people that everybody else wants. And I learned this at PayPal. Peter taught me this literally the first day, first week of my job at PayPal that the way to build a company, we were jogging around the Stanford campuses, you've got to find these undiscovered talent. That's the only way to scale organization against these large incumbents with infinite money, et cetera. And you know, I've been on a crusade for twenty five years. For those who are interested, you can link to it. I gave a speech at Ramp, you know, how to hire, but talks in detail. I also recommend Eric, CEO of Ramp's speech, which is fairly similar. Both videos are online.
speaker 2 [00:25:49-00:25:58]: That's such interesting advice and makes so much sense. You're not going to be able to afford the people that have done the thing at. TopOP CO companiesAN, AND ALSO THEY' JUST probably NOT THE P peoplePLE TO JO it EAR.
speaker 1 [00:25:58-00:26:19]: W, THEY'RE AL also not maybeBE THE peoplePLE YOU W THERE'SVER SE selectionCTION, BUT YOU know, IT'S LIKE a salary CAP. M SP THESE daysS HAVE SAL CAP. AND WHEN YOU'RE START, NOT only do you HAVE A SAL CAP, YOU PRO probablyBLY HAVE ONE tenthH SAL CAP OF THEEOPLE you'RE competing WITH, SO you'VE got TOIGURE OUT HOW TO LEVER YOU KNOW L assetsS to more SUCC.
speaker 2 [00:26:19-00:26:27]: What's just one tip when you're looking at when you're looking for and discover talent, that's a sign of. Okay, this person is really special. I know you have a lot to talk about here, but just like what's one tip?
speaker 1 [00:26:27-00:27:26]: I think it's basically isolating why? Other people aren't going to process them correctly. Like most recruiting at large organizations becomes sort of a homogeneous function. And so if you understand why this person is going to get thrown into this black box kind of thing and not get processed accurately, it's pretty easy. So I always think about, you know, let's say this person was interviewing at Meta or Google or Block these days or Coinbase, what are they going to miss? And then why and then that leads to oh perfect. So sometimes it's just lack of information. Like one of the reasons why you know sometimes it's controversial say this but one of the reasons why the net impact of by higher undiscovered talent is you wind up skewing younger. It's not because you need young people. It's that younger people have by definition less data. It's like a, you know, we use credit scoring fico scores. It's the same thing for employment.
speaker 1 [00:27:26-00:27:47]: By the time you're over 30, some out of things there's so many data points about you that this black box machine is usually going to process you like many other people. If there's no data points, it's very hard for a black box machine that does homogeneous evaluation to evaluate you. So there is alpha, so to speak, by definition for people who have like no data points.
speaker 2 [00:27:47-00:27:51]: It's interesting how this is the same skill as being an investor picking startups to invest in them.
speaker 1 [00:27:51-00:27:53]: Yeah, absolutely.
speaker 2 [00:27:53-00:28:15]: Okay, I want to talk about something else. I asked a few people that know you well that work with you at various companies what to talk to you about. And one person said that when asked him what to talk about, he said my immediate reaction is that he is a bar raiser. No matter what kind of numbers we put up, he pushes us to do more. In fact, often it seems like the better we do, the harder he pushes. Does that resonate?
speaker 1 [00:28:16-00:29:15]: Yeah, I think that's true. I mean, I think look ultimately, I'll channel someone else's feedback, but it's the same thing. A friend of mine is a CEO once asked Mike Moore, it's like what's the most common denominator of the best CEOs ever? And he said it's the relentless application of force. Quote, I think that's the job of the CEO. People eventually get comfortable, complacent. The more success you have, the more complacent the organization tends to get. And the single role for the CEO is offsetting that complacency. So for the point, the more success you have, the better you're doing, the more complacency naturally kicks in. And unless you've erected a network effect, you do not want to get complacent. And even then, you debate whether you should. But fundamentally, most businesses are not network effect businesses. They are not going to run on their own for a long time. So I think that's one insight is the better you're doing, the more the CEO should push.
speaker 1 [00:29:16-00:30:16]: Secondly, it's a little bit like sports when you're growing up, people when they're winning take advantage of feedback better than when they're losing usually. Like so for example, you know now what I do is mostly mostly VC, mostly a board member, mostly I could considerate a founder. And when the company is struggling, maybe what's less intuitive and you may have picked up on this in your research and you know, interviews of people who know me when a company struggling, i'm actually usually a very non-critical in more like a coach and supporter because the company, the founder knows they're struggling being critical doesn't really help themselves a problems. That's when being supportive can actually. Somewhat counterintuitively more important, but when the company's thriving, it's really important to be critical and isolating things that will eventually be problems while everybody in the company is really happy and borderline complacent. So you kind of want to be the opposite as a default.
speaker 1 [00:30:16-00:30:29]: And that's like a really good sports coach. When you're winning is when to polish everything and really master the details. When you're losing, you definitely also have to be exciting people and embracing the future and selling the future.
speaker 2 [00:30:30-00:30:40]: So is the advice say someone is listening a founder or product leader. The advice here is just keep pushing harder set the bar higher as things even if you're doing great.
speaker 1 [00:30:40-00:31:32]: Yeah, if you're doing great. Well, also you have to remember like i remember giving a speech once it's where is like. You get to a certain threshold, creates inflection momentum, gets you a certain valuation, all these like attributes, but it's kind of like winning a Super Bowl. You get the last year was great, last four quarters wonderful. It's like winning the Super Bowl. You got to come back next year and start your record zero zero again. And you remember that actually adventures like that, you know? I'm only as good as my last investment. I've had like 13 years or whatever pretty damn good investments, but like truth, they have to wake up every day. And find some undiscovered founder that's going to change the world. And if I don't do that, it doesn't matter what I've done the last thirteen years. And a company's kind of like that. The company can skate on autopilot for a while. Venture, you really can't ever skate.
speaker 2 [00:31:33-00:31:52]: I definitely saw this with Brian Chesky. He just felt like things were going great. And we just shipped amazing products and growth is up. And he's just always like pedal to the metal no matter what. Just like, come on, when are we going to take a little break? And it's interesting because when we did have little breaks here and there, Morales actually went down because people were like, 'What am I working on? I don't know.
speaker 1 [00:31:52-00:32:37]: ' It's not that exciting. Brian and I are usually in sync a lot. There's a really good interview where I interviewed him also at the same conference of how to hire when he talked mostly about founder mode, but I generally subscribe to virtually all of Brian's views. He even taught me some of these things himself. But the more important point I think you identified, which is very subtle. Is really talented people or like superb athletes. And when things are going well, and people are really kind of coasting, they're not happy. They have an internal clock tempo, they just want to create things and create value and drive drive. And like, you know, that the morale actually does go down for the best people in the world when people are skating.
speaker 2 [00:32:37-00:33:15]: Okay, so actually along those lines, there's a lot of anxiety in the market, in the job market about the future of careers, are I going to have a job? Am I going to like where things go in? And it just feels like people are working very, very hard. There's just putting a lot of hours, especially the most AI pill people. It just feels like they're working harder than ever. I don't know if you saw this thing Tyler Cohen put out of just like. Work harder. Now is the time to work harder because AI is eating away at your value. You know, you probably talk to a lot of people looking for career advice of just like this feels scary and I feel like I'm working too hard. What should I do? I don't know. Do you have any just like advice for folks?
speaker 1 [00:33:15-00:33:48]: Well, do you think AI is going to radically reorient, you know, lots of people's careers, maybe including mine? So I think that's actually true, and I think the way to thrive in a rapidly emerging technology world is to be intellectually curious. So for example, you know, I'm a business person historically, you know, I did actually code when I was really young, but like basically professionally just a business person. what i've noticed in some of the best organizations is the number one consumer of tokens is the cmo.
speaker 2 [00:33:49-00:33:49]: See.
speaker 1 [00:33:49-00:34:28]: i'm people are intellectually curious. And so they're like, wow, there's all these cool things i can do now with my hands. Either i had to rely on other teams or never got access the way i wanted and blah, blah, blah, and they just do it. This is actually true at open door. It's true in another great company than all of the board of that's incredible. And so I think you can be intellectually curious and future proof yourself more than just yes, you can work harder and a big subscriber to like no days off and working all the time and all that stuff, but fundamentally the intellectual curiosity is able to learn new things and that is how you embrace the future.
speaker 2 [00:34:29-00:34:30]: So and he said cm is.
speaker 1 [00:34:30-00:34:47]: who's gmo both these two companies hosting both massive, you know, awesome companies with lots of engineers. And i think that's that's very encouraging. Um, you know, for the executive particularly like this, this definitely like the best executive in the company.
speaker 2 [00:34:47-00:34:51]: And what are they building? Is it like landing pages and pay tests?
speaker 1 [00:34:51-00:35:14]: It's not. Sometimes it's like more like we would have thought of analytics. Sometimes it's actually campaigns, like actual campaigns. It's just like they don't need to rely upon deputies and deputies and deputies to get actual work product. And so they're just like shipping things and like or shipping drafts of things or giving the CEO insights into things themselves.
speaker 2 [00:35:15-00:35:29]: I want to get your take on the future of specifically the product triad. You work with a lot of product people, engineers, designers, everyone's always wondering what the hell is going to happen in my career thoughts on just the future of those three specific roles.
speaker 1 [00:35:30-00:36:30]: Well, I saw this podcast or listen to this podcast that Peter Fenton did, and he convinced me that the idea of a PM makes no sense basically in the future. If you think about decomposing the logic, is what does PM usually do? They take these inputs from customers, they create this sequential roadmap that's well organized over the next year blah blah blah blah. That world is like ridiculous. Like right now, the capabilities of foundation models or companies like Lovable and you know things like that are just so improving such a rapid rate. That it makes no sense to have a year-long roadmap, and they just like incoherent. There are things that were impossible to do in November that are actually pretty easy to do right now in March. And so I think you need to build an organization that's incredibly adept at people say nimble and all this stuff, but incredibly adept at changing the roadmap almost on the fly.
speaker 1 [00:36:31-00:37:01]: And i think intermediaries like conventional pms, don't make a lot of sense versus being prepared, intellectually embracing and exploiting noticing. So someone needs to notice that. Oh wow, we can actually do this but then exploiting it this week. Is the future of a very high growth stellar startup will notice that something is now possible this week. And create new features and new value for customers next week.
speaker 2 [00:37:01-00:37:39]: That's such an interesting area of discussion. A lot of people is anything is RPM, so I want to try to defend that role just to see if you see if I can convince you otherwise. And by the way, I will say Mark Andreessen had this really good visual of just what's happening here is like every all those three functions. It's like the standup where they're all like I'm going to take the future is my role, the future is design that's. ENGering is the future. So the way I see it is as AI makes it easier to build and kind of eatsAT the middle of the software developmentM process, just anyone can build detailed AI, here's what I want. UM The hard part, the gap at least for now is figuring out what to build and then aligningNING everyone around what to build.
speaker 1 [00:37:39-00:38:38]: I agree with that. I actually think like whether you talk about someoneOME who used to be a PM or someone used to be a designer or or called an engineer. The skill is more like being a CEO now, which is what are we building and why exactly? And to be a successful engineer, that trait's critical to be a successful designer because the tools and the ability to actually create the thing, an object is going to be easier and easier. But the art is knowing what to build, you know? Another competitor of mine, Alfred Lynn at Scoya likes to talk about being a chef. When you're a chef at like a prime restaurant, you're not actually cooking the dish; you're sampling, you know, your colleagues and editing their work a little bit. But fundamentally, it's half a commercial role being a chef in a famous restaurant. Is what's our value proposition? How do we differentiate ourselves? How do we brand ourselves? What's our segment? What's our pricing? You know, et cetera? What's our location even? That's what makes, you know, a famous chef.
speaker 1 [00:38:38-00:38:40]: It's not they're literally cooking the dish all the time.
speaker 2 [00:38:41-00:38:54]: Okay, I 100% agree. Interestingly enough, PMs are called mini CEO's often, and I think the important thing is it's not like what do you call this person? I think the question is what skill will be most like where are human brains still going to be necessary?
speaker 1 [00:38:55-00:38:57]: Business document. It's basically a business document.
speaker 2 [00:38:58-00:39:00]: Right? Like what will help this company grow and succeed?
speaker 1 [00:39:01-00:39:19]: And exactly, i understand the company's business equation where we're trying to go and what they inputs in connection outputs are and i can on my own. Create things that move the needle or potentially move the needle. It's very exciting because you know, you can actually drive impact like much more easily now as an individual.
speaker 2 [00:39:19-00:39:42]: My conclusion based on what you just shared is of the three roles, which role is best at that? And historically, it'd be PMs. Obviously, I think the important thing here is it's like the best, you know, it's like great PMs or great engineers, designers will do well. But I think interestingly, what you're describing to me is what it sounds like what a great PM would be really good at basically.
speaker 1 [00:39:42-00:40:07]: if they were exceptional, I think that's right. But I think the best, a lot of the best engineers I've worked with have commercial instincts like Max Levitin. Has this on steroids Jeremy Stoppleman, you know, he's worked with me very closely at PayPal before he started Yelp and got promoted to be engineering director and vice president of PayPal has commercial instincts, you know, back when he was an individual contributor. So I think there are great engineers who are technically proficient that have always understood the business building.
speaker 2 [00:40:08-00:40:13]: Yeah,I think that's like the ultimate unicorn is an engineer that is also very business minded。
speaker 1 [00:40:13-00:40:58]: It's going to put a premium。 I think this will at the age of AI will put an incredible premium on that because they're not going to need a large team,you're not going to be marshalling the forces。 Like you know,another example is a good friend of mine and is director of engineering at Raph。 He ships as much code personally, so he has a team of about 20 people. He personally ships as much code he has used to as an individual contributor while he's managing a team of 20 because the tools are so great and he's become a leading pioneer in the usage of AI. And he's basically using AI as a second team. He's basically like okay you're the team manager, you do this, you do this, you do this, stitch this together, check this out blah blah blah. And I think that is definitely in the future.
speaker 2 [00:40:58-00:41:07]: I 100% agree, engineers that are very good at that are just extra valuable. What's your take on design in the future of design? The value of design?
speaker 1 [00:41:08-00:41:33]: Well, you know, it's interesting. I design a code emerging, and it's not clear to me who triumphs of like is it code becomes design or. Design just translate automatically into code. I'll be some investments that bet on both in some ways, but i think they're merging in a way where they're not separate. You know, feuds anymore.
speaker 2 [00:41:33-00:42:33]: I am so excited to tell you about this season's supporting sponsor vanta. Vanta helps over 15,000 companies like cursor ramp, duolingo snowflake and atlantian earn and prove trust with their customers. Teams are building and shipping products faster than ever thanks to AI, but as a result, the amount of risk being introduced into your product and your business is higher than it's ever been. Every security leader that I talked to is feeling the increasing weight of protecting their organization, their business, and not to mention their customer data. Because things are moving so fast, they are constantly reacting, having to guess at priorities, and having to make do with outdated solutions. Vanta automates compliance and risk management with over 35 security and privacy frameworks, including sock 2 iso 27,001 and hipaa. This helps companies get compliant fast and stay compliant more than ever before. Trust has the power to make or break your business. Learn more advantage.
speaker 2 [00:42:34-00:43:12]: com slash lenny. And as a listener of this podcast, you get 1,000 off vanta. That's vanta. com slash lenny. What I'm seeing is something really interesting happening with design. On the one hand, I just did some analysis on the job market for design, and it's basically plateaued in terms of the number of open design roles over the past three years. It just hasn't gone anywhere. It's flat. We had the head of Claude Design Jenny Wen on the podcast, and she had this. A kind of insight that the design process, there's no time for the design, the traditional design process. There's like engineers are shipping 17 things a day, there's no time to sit there and help mock and prototype and all these things.
speaker 1 [00:43:12-00:43:50]: Well, let me give you a couple of concrete examples. So at shopify, the way they develop, they've developed, they've been doing this for over two years now. So this may seem normal, but they have not let pms provide like powerpoint or keynote presentations on product for like two years. Every presentation on product has to be a workable. Demo, and they just expectCT the PMMS to create theD, and does EX just refuse to look at static, you know, we're going to have this feature. No, I want everythingTH working. THIS is for two years. So I think that, you know again, like everything is just merging together.
speaker 2 [00:43:51-00:44:02]: That' so interesting. YOU would think though, because there are so many products LAU every single day, like there' just endless things to pay attention to. You think design would be a differentiator more and more.
speaker 1 [00:44:02-00:44:30]: I do agree with that, I do agree with that actually. I think the alpha is in design, just like in marketing. It's not the tools, it's not the channels, not the metrics, it's in storytelling. It's how do you cut through the clutter in the snappiest, most compelling possible way? There's kind of an NP problem. There's so many different words you can use to express the same concept. But the person who can say this is the way to frame it, you know, the proverbial thousand songs in your market is worth like all the tools in the world.
speaker 2 [00:44:31-00:44:48]: Yeah, so that's the other part of my insight recently is just as ai makes it easier to build, it's kind of expanding from the middle out. And what remains is figuring out what to build and making it iterating on the idea. And then it's at the other end of spectrum, which is distribution, getting anyone to pay any attention to what that you've done. Because again, there's so much happening every single day.
speaker 1 [00:44:48-00:45:26]: Yeah, cutting through the clutter. I mean, that's always been critical. I mean, one of the times when people are pitching me as an investor, it's one of the things I'm dialing into, you know, immediately is how the hell the hell is this going to cut through the clutter. It's one of the reasons why I don't like to take like customer feedback into account because by definition, when you put something in front of a customer, that's not a proxy for the real world. In the real world, you have to cut through the clutter while they're going to their berries boot camp, while they're doing their job, You know, et cetera, et cetera, a lot they're walking while they're on the subway like that, like you know an isolated fake experiment doesn't give you actionable insights and often is directly wrong.
speaker 2 [00:45:26-00:45:43]: Interestingly on that line, there's a few companies that are launching similarly as one that is simulating humans. I don't know if you heard about this company, they basically are building AI models of actual people so that you can simulate your marketing launch and your product experience with. People before you launch.
speaker 1 [00:45:44-00:46:01]: I don't know that I've seen that specific company. I have seen one or two sort of pitches. My general question as a refrain on those type of companies is: what are they training on? Because again, if they're not training on the right data, it's dangerous to say you're simulating humans.
speaker 2 [00:46:02-00:46:12]: Yeah, yeah, that is the question. Oh man, what a weird world. Along these lines actually have this. I don't know if you call it a hot take that ai content is going to surpass human content and that's just the future.
speaker 1 [00:46:13-00:46:14]: I have that's inevitable.
speaker 2 [00:46:15-00:46:26]: So it was i was talking to someone and she was saying in like the chinese tiktok app. It's just like all ai videos now and it's like very good. She like actually enjoys watching these videos and these stories.
speaker 1 [00:46:26-00:47:18]: I think it'll be like a binary sort maybe. I could see products and content thriving that is clearly still human generated, and that there's some desire for authenticity, just like for example, you know, this piece of art is a Warhol. Anybody could create this now high fidelity,but there's still an appreciation for this was created by Andy Warhol。 I think there's going to be a curated experience with a premium of provenance,you know that you know is human created,and then there's just going to be a sort of a rank filtering of what's the best content。 And whether it's AI generated or not, it's a little bit like the Ben Thompson trajectory thing of curation, you know, versus algorithm. There's going to be two poles and the curation may be for human created stuff, and then there's going to be the algorithm, which is just what's the best.
speaker 2 [00:47:19-00:47:43]: I one hundred percent believe that that makes so much sense. I was just thinking the other day, it's so interesting that AI is getting very good at video, like videos are actually fun to watch that AI generated. And then like images are getting really good, but writing is still really bad that is AI generated. And it's ironic that it's called a large language model. It's all context text text trained. And it's just like that's the thing it's least good at, which is really weird.
speaker 1 [00:47:44-00:48:17]: Well, I think part of it is economic decision of token rationing by the LLMs. Like they basically are. When you prompt, they're kind of trying to make their economics work within a bell curve distribution. And so for example, if you prompt an LLM to write something that's very short, the quality is significantly better than if it's a page paragraph, I mean page to chapter to book. I think it's token rationing versus versus actual quality.
speaker 2 [00:48:17-00:48:21]: You would think though, you know, like I don't know if it was Hemingway of just like if I had more time, I would have made it shorter.
speaker 1 [00:48:21-00:49:19]: Like it's more where they but then you have i think the rating right now, what works best is short, many short examples and then we humans basically picking editing reprompting. It's a little bit like when I used to be a litigator 25 plus years ago. The hardest part of writing a brief, all the art and all the magic was the first paragraph. If I could write that first paragraph really well, the chance I would win the case and convince the judge would go through the roof. So what I would actually do is I might have three weeks to write a brief. I may spend the first week or more walking around the office. thinking through how am i gonna nail the first three sentences? once i figured out how i wanted to frame those first three sentences, i could write thirty pages in like two days. But getting that right could take a week or two.
speaker 1 [00:49:20-00:49:35]: Sometimes it would occur to me in the shower, literally the you know shower or in the middle of a run. It's like, oh my god, here's how I distill it. Then I could just sit down and power through the rest of the brief. And I think it's a little bit like that, the power through the rest of the brief force well, you still need the first three sentences.
speaker 2 [00:49:36-00:49:39]: Is there a story from that time in your life that would be interesting to share? I didn't even know about that.
speaker 1 [00:49:40-00:50:38]: So yeah, not everybody knows, you know, I spent the first four and a half years of my professional career as a law clerk. But occasionally comes in handy truthfully, like sometimes trading off business risk against legal risk is a valuable thing to do. Sometimes it's not accidental that many of my best investments are in financial services in heavily regulated areas because I think I can sort of do the legal risk assessment in my own brain. This was definitely true back in the day when I invested in YouTube. But i think most things that lawyers learn are very inconsistent with being entrepreneur. So when you're graded as a lawyer, you learn every exam in law school virtually is issue spotting. So you get credit for identify, there's like a thought patterns and identify all the issues and then resolve them. So you learn to identify everything that can go wrong. Moderately useful, but very not useful as an entrepreneur.
speaker 1 [00:50:39-00:51:07]: I mean, sure you can identify all the reasons a company could fail, not that difficult to do. The art is you know solving those. So you know not the best training. And then you also measure your productivity by hours worked, you know literally you bill per hour. It took me two years and maybe a year and a half after converting to technology to stop tracking all my time. I used to literally write down in my notebook a half hour of this meeting, 20 minutes on this, you know blah blah blah. Just could get that out of my brain.
speaker 2 [00:51:08-00:51:11]: That is so funny and david sachs was a lawyer too. It's like interesting.
speaker 1 [00:51:11-00:51:22]: That's true. Peter peter. There's a lawyer peter were smart enough to quit after five months and four days. I think david never practiced to maybe even smarter than both of us.
speaker 2 [00:51:23-00:51:34]: Okay, i'm gonna hit on some hot takes contrarian takes that you have. You have a number of these. I heard you sharing a podcast recently. They asked you, why don't you have as many contrarian takes these days and you're like, well, they just all been proved, right?
speaker 1 [00:51:35-00:52:05]: And that's a problem is, you know, if you have good ideas, eventually you want them to be adopted. It's a little bit like, you know, when you're an investor, you want to be contrarian. So Airbnb, you start with a contrarian take, but eventually if the company's going to succeed, it has to become consensus. Like everybody in the world has to use it and believe in it and trust it. So you want that inflection. Like you don't want to just have contrarian takes and then nobody. So you do need a refresh rate, and then the question is how do you have or you know how do you find new ideas? But you want to actually exhaust them.
speaker 2 [00:52:06-00:52:17]: Okay, so one that I think people still would disagree with is that your advice is for unless you're building an enterprise company, you don't actually want to be talking to customers.
speaker 1 [00:52:17-00:53:20]: Yeah, I hate talking to customers. I refuse to allow colleagues of mine to talk to customers. You know, there's the the famous, you know, you can talk about the famous stuff and the Steve Jobs, you know, the horses and the or faster horses and all the stuff, but I think it's more important is it's often directionally wrong. Customers don't know what they want and they're very bad because it's a subconscious decision, especially for consumers. Like what I purchase, what I wear is not a conscious decision. And when you're. Consciously trying to answer a subconscious decision, you actually give misleading information even when you're trying. You know the proverbial example I like to use, but it's instructive is ask anybody who drives a super fancy car like a Porsche or a Lamborghini, like why they bought the car 百 分 之 9 9 of the time they will tell you every reason except the real reason. That once you realize that you're like, I'm never asking customers anything now. It's hardcore enterprise customer development does work because there is a decision maker and decision maker is mostly making utilitarian decision.
speaker 1 [00:53:21-00:53:35]: And yes, there's political forces within the organization and they may or you may or may now be able to tap into those, but fundamentally extracting that information is valuable. But a consumer SMB micro merchant product. Unmitigated disaster.
speaker 2 [00:53:36-00:53:40]: And so the implication here is you need to rely on your instincts and gut and experience.
speaker 1 [00:53:40-00:54:38]: Yeah, I mean humans are humans. I have this other line I like, which is everything important you need to learn about humans was written by Shakespeare. Just read Shakespeare. Like that's better than all the customer research. Now you are producing a movie and ultimately this movie doesn't just need to be critically acclaimed. You have to sell tickets. so if you're not selling tickets, you have to question, okay, is the trailer wrong? Is our distribution, you know, where we're trying to meet people to let them know about the movie? Is that wrong? Fortunately, unlike a movie, you can go back and say, have I casted this somewhat incorrectly? Is the script slightly off, you know, et cetera? But the goal is selling tickets, and that's what you want to optimize for. But if you don't sell tickets successfully, economically, efficiently, you definitely want to go back in a loop and try to reorient things so that if. You are selling tickets.
speaker 2 [00:54:38-00:54:49]: This is like cat LTV kind of stuff is what I'm hearing here. And so your insight here is just like it's not only like it's like it's not going to help you. You're saying more so it's actually harmful.
speaker 1 [00:54:49-00:55:46]: It's harmful. And then people will say, yeah, like I've signed so many meetings and this would infuriate me, but where people would be like, I talked to eight customers, blah, blah, blah, and I know that this isn't statistically represented, but then they pontificate for an hour. And then then they're like, oh, I know this is not you blah blah blah. And but once you hear this stuff, it's like you can't take this out of your brain. And then every other subsequent meeting is like this, this stuff is just locked in the customer's brain. So yes, in the enterprise when you have like I work with a company in AI that has 30 must win accounts. That's like the goal for the company over the next two years, make sure all thirty and we're doing really well again, all thirty using our product great. We actually can talk to all thirty customers and we can actually meet the decision maker, all thirty customers and we can influence the CEO at all thirty customers. That is a useful exercise. If you're targeting a billion people on the planet, you are not getting representative feedback.
speaker 2 [00:55:46-00:55:59]: Being a contrarian take, many people would not believe this is good advice. Do you have a story, maybe an example of just like wow, this like someone talking to a customer's going in the wrong direction for a while?
speaker 1 [00:55:59-00:56:57]: Oh, all the time, they're called failed companies. You know, there's a reason why I mean there's a Darwinistic efficiency to this too, which is just like. Hey, there are things you can that like is it feasible to do X Y Z? So for example, let's get like DoorDash. I don't, I don't, I don't think customers told us that we want a button on our phone to click to deliver food, but you could talk to restaurants and say, hey, would you put this placard here? So that people walking into your store know in the future that they can get delivered. Okay, yeah, maybe then could you run an experiment of how many deliveries per hour would you have to do to you know break even? And is there enough density you know within this like there are ways to improve the odds that you can make the business work. But they don't think launching the company saying hey we found ten people in Palo Alto, you know do you want this button on your phone?
speaker 1 [00:56:57-00:57:38]: So you know when Tony and Evan walked into my office originally, the epiphany I had was well they had a stat which is 百 分 之 9 3 of the restaurants the United States don't deliver. I was like okay. Seems like it should be a higher percentage than seven. Convinced. And then when they were describing what they wanted to create andrew mason of group on fame, had famously said these phones, these devices should have two buttons on board and i'm hungry. And i was like, oh my god, you're the alma, hungry bun. And then so just clicked in my brain and then it was like, okay, now we need to make it economically possible. To scalably do this, good luck guys.
speaker 2 [00:57:38-00:57:43]: And this advice is not just consumer. You're also like Jordash has like SMBish.
speaker 1 [00:57:43-00:57:52]: Yeah, like Square and things like that. Square, yeah, is Square is a good example. Like anything sub mid-market, I think is it's directionally dangerous.
speaker 2 [00:57:52-00:57:56]: And the advice here is basically trust your insights. Like you need to have the insight yourself.
speaker 1 [00:57:56-00:58:56]: You can't find it. I think typically the best companies, yeah, there's foundational insight. And you know people don't necessarily want to hear that, but like. There's logic you can acid test and pressure test the logic, like there are like you know to some extent, like when Brian first pitched me on Airbnb. there was some interesting evidence he already had that this was going to be successful. the number one that one stuck with me at the time. was he gave me the exact number of craigslist listings that said, I want to rent someone's bedroom,and it was actually a reasonable number,it was like thirty in the bay area,but given that you had to literally type it in,and you know sort of have the epiphany yourself,i was like that's a lot actually,that's like probably a real market there。 And I was already like as soon as he said that, I was already leaning in. And by the time he finished his three minute monologue, it was like this is the coolest thing ever. I need to invest.
speaker 2 [00:58:56-00:59:03]: Yeah, and I think Airbnb is a good example where he was solving his own problem, saw an opportunity, wasn't like talking to people, hey, would you do this or anything?
speaker 1 [00:59:04-00:59:18]: And people would have said, you know, if you'd sampled the wrong people, definitely would have got feedback that was like no, like very, very high risk. Like that's a good example where. You had sample 10 random people, good chance of 9 plus percent would say no.
speaker 2 [00:59:18-00:59:53]: I wouldn't do that. You know, it's really interesting. I was just watching Taylor Swift's acceptance speech at this award show, I heard media something rather, and she gave this really powerful speech that when she was starting out, she was just kind of at home working on songs, learning piano, just in a room on her own, and had thousands of hours to just iterate on learn and get better. Versus today, if you were to do this, you'd be posting it, sharing it, people giving you feedback constantly, and her advice is just like, find ways to just not expose yourself to people for a long time.
speaker 1 [00:59:53-01:00:54]: So, i have a couple of friends who are like in artists in the music industry, and i think what she's saying is one of the reasons why it's sometimes difficult for artists who had success. To recreate the success because the first success was not data driven, was not customer feedback driven. It was like I'm creating this and it's resonating. Then because they have an audience, someone either they or their manager or whoever, the label, blah, blah, blah, wants them to get feedback and it creates derivative, you know, sort of works, not strictly legally, but like derivative works. They're less inspired. There's a podcast that Jack Allman did with my friend Alex from the Chain Smokers. He actually talks about this at some length that they created this song that actually didn't resonate with their core, their normal audience, but actually resonated with a different audience, which is interesting. So I think you can get trapped with success.
speaker 1 [01:00:54-01:00:57]: If it's a good illustration actually.
speaker 2 [01:00:57-01:01:10]: There's also this concept of the ugly baby in creativity ink. I don't know if you read that book at Catmull about every idea, like every great idea starts as this ugly baby that no one wants to like help and pay attention to and just like get those out of here.
speaker 1 [01:01:10-01:01:37]: It's like a startup. I mean, that is actually the startup. Like I use this prism as an investor, which is when I make a seed investor or series A investment, let's say, I want half of my friends who are VC's to laugh at me. Like literally, because I I know mostOST of people I competeE with pretty well. and so I''m running this algorithm throughR my brain, are these peoplePLE going to laugh? If so, like this is a great investment, potentially great investment because it's an ugly baby. and ugly babies were the ones where there's real alpha.
speaker 2 [01:01:37-01:02:08]: That'sS so interesting you say that. I did some researchAR recently on what are signs WE interviewedW this ME and Terrence RohHAN, I don't know if you know VC WE interviewed early employee people that have joined early generational companies many times. And like they open openai, they join openai early before anyone knew about it palantir really early stripe, and so we asked them what did you look for? And there's three patterns, and one of them was exactly that the idea people laughed at them, they thought it was crazy, this is never going to work palantir for example openai for example.
speaker 1 [01:02:08-01:02:17]: yeah my parents used to laugh at almost all my jobs in tech um you know it used to be very funny they thought i was going to be homeless because most of them did not make sense to them.
speaker 2 [01:02:17-01:02:21]: That's classic parents, no idea what the hell people do in tech.
speaker 1 [01:02:22-01:02:30]: They did, they did appreciate Stripe though. My mom always appreciated Stripe and you know, always tried to lobby me to invest, and I finally listened.
speaker 2 [01:02:30-01:02:40]: Nice, good job, mom. She earned her keep. Okay, we just shifted perspective because Keith's iPad was dying. Classic. That's maybe the downside of the iPad.
speaker 1 [01:02:41-01:02:43]: The downside of the iPad is I use it too much.
speaker 2 [01:02:44-01:03:09]: It's like that's product market fit. Okay, I want to actually follow up on this discussion we're having about just finding great companies. A lot of people are starting AI companies now. There's so many launching. As an investor, I'm just curious what's a sign that this is a worthwhile idea considering the endless number of startups launching and maybe what are some just like flags that like, okay, maybe don't work on that idea.
speaker 1 [01:03:09-01:04:10]: Well, the existentialessential question everybody talks about these days is, you know, are the foundation labs just going to be so proficient that there's no oxygen, because if you're building a successful startup, you need to build for like eight to 20 years into the future. Like whether you just discount a capital flow analysis or some other prism, it doesn't matter. ultimately you have to build for something that's durable for decades. and the rate of progress at the foundational by the foundational labs, and not just one, multiple of them. Really does start creating questions about the sustainability of even companies that look like they're thriving in the short term. So that's one question. The second question I'd ask is very typical. I've always asked this question for like 25 years, which are what are the accumulating advantages of this startup? You do want to believe that over time you create an unfair advantage, and there are different species of accumulating advantages. You know, the one that people immediately gravitate to, but it's only one illustration of a set of options is network effects.
speaker 1 [01:04:10-01:04:17]: But you want something that over time makes the business better and better and better, arguably easier and easier at some point.
speaker 2 [01:04:18-01:04:22]: Do you see those sorts of things at the beginning? Like when you're seeing a seed stage startup?
speaker 1 [01:04:22-01:05:14]: Yeah, it's a great question because I think people can conflate two things. There's a difference between seeing it and understanding the potential. So what i'm looking for when i need a founder is, can they articulate where the accumulating advantages can be? In theory, conceptually, they don't have to have demonstrated it. Yes, there's an occasional example. Once every five years, you might find one where early you can see, you can actually point your finger on an empirically, but that that's way too strict as a bar for an early stage investor. But you read, I personally want the founder to articulate to me. Where they can build accumulating advantages and maybe even sequentially identify when they would start. Either taking advantage of them, leveraging them or measuring them.
speaker 2 [01:05:14-01:05:24]: So when you're looking at, when you're evaluating startups these days, i know this is like a very hard question to answer, but just what do you is there anything in particular you're looking for? They get really excited about.
speaker 1 [01:05:24-01:06:18]: i'm a founder driven industry. So the only thing I really care about is does this founder have a non-zero chance of changing an industry in the world? And if they do, for a seed or series A investment, I'm in period. Don't ask any other questions. That's all I need to identify. Not every investor who's been successful has the same algorithm they're running. There are technology driven investors, like I would say Mark Andreesen's probably like something like that. Beno's a mix, he's both founder driven and a technology driven investor. There are investors who are sort of product slash market driven investors. My colleague David, why didn't I say is that? I think Alfred Lynn and Sequoia is mostly that, so you can have different sort of approaches, mental models, paradigms, but for me, is this founder extraordinary? Do I have reason to believe that this founder is the next Brian Chesky?
speaker 2 [01:06:19-01:06:36]: You mentioned that you're an investor in all these companies you listed are doing incredibly well. And you work with a lot of you're on the boards of a lot of really successful incredibly good teams and companies. Is there just something they are doing the way they operate that is different from companies that are not as successful.
speaker 1 [01:06:36-01:07:33]: I think the subtle signal, let's say very early is speed and you know it's one of those things that's easy to say but let me try to be more concrete. there's a tempo, an operating tempo that a successful company develops that is very that develops very early in a company's trajectory and is incredibly impressive. i remember when roloff botto was on my board at square he and he led the series b. so he joined our board and. Six months in two more meanings and he said to me, he's like, i haven't seen this kind of tempo since our paypal days. And he'd been a vc at that point for nine years. And what i was curious, i said like, you know, what are you noticing? And he's like, At board meeting X,you guys identify an opportunity or problem,and by the next board meeting you've shipped。
speaker 1 [01:07:34-01:08:32]: Solutions addressed it feature just constantly consistently,and I think that's right,like so。 The time between the seed and series A affair was pretty tight, and I remember at the time my chief of staff was Delian Asper Roth, and Delian said to me after the second Fair Board meeting that he shadowed me at, he said if there's one company in Silicon Valley that would cause me to leave being VC, it'd be Fair, and I was like interesting why? Is like the pace of execution, and his answer was exactly the same as Ross. He's like there is something slightly off about the next morning meeting. Not only have they identified the root causes, but they've shipped and reacted and measured the impact of the solution, and that compounds that speed really does come out. So that's just one trait, but you see it. It did lead me to, for example, preempt the series A of Ramp.
speaker 1 [01:08:32-01:09:32]: So I led this seed in like Mayish of 2019 and gave a term sheet to preempt the A in September. So pretty quick. One of the two signals was how fast Ramp was able to be on the precipice of shipping the cards. I'd been working in financial services for a long time at that point, you know, 19 years or so. And there's just a lot of moving pieces to ship a card. You need these program managers, you need the sponsoring bank, and you need this and this and this. Usually takes nine to 12 months, best case nine. Ramp was on the precipice in like three months, and I was like, oh my god, like I'm just never seen that velocity. That was one of two maybe three inputs, and I was like yes, makes sense to double down already, even if we hadn't shipped anything yet. So I think that's one critical density of talent. You see companies just creating an unfair advantage. The team was excellent when you invested in it. It was now wow, this team is getting better, you know, deeper, better, et cetera.
speaker 1 [01:09:33-01:10:11]: So that's another signal. The third thing that I've noticed though, you know, is I think they have a different hiring philosophy ultimately. And maybe there's exceptions to this, but most of the companies I work with that are thriving. have basically skipped hiring senior people senior experienced people mostly internally grown talent. And I think that model has worked really well. It's definitely true of Ramp, definitely true of Trade Republic. It seems to be a mostly common ingredient, but there's probably exceptions.
speaker 2 [01:10:12-01:10:24]: Wow, that is an incredible answer instead of traits. Just to be clear what you're saying on that third piece, so it's not higher like fancy VPs from other successful companies and instead develop people internally as a.
speaker 1 [01:10:24-01:11:07]: trait internally and almost turned it into a competitive advantage, meaning your strategy like we're just not even going to interview people. We're not going to try, we're just going to promote from within. And I think in some roles, you know, it's not like you're hiring a GC, you know, typically right out of law school. But although we have done that once and it worked out pretty well, believe it or not, but I wouldn't recommend that. Yeah, you know, I have this blog post. Well, Delian wrote this blog post of lessons he learned from Keith, and one talks about hiring senior people, and the rough prism is. Are you hiring for value creation or value preservation? If you're hiring for value preservation, typically some experience is useful on the value creation side. It's probably not.
speaker 2 [01:11:07-01:11:24]: It's interesting how much of this comes back to just your initial point about hiring and the team being everything step. So number two was talent density and three is helping people develop and be, you know, into the role versus finding someone. And then obviously, Speed all trickles down from just who you're hiring.
speaker 1 [01:11:24-01:12:01]: Yeah, I mean, I've watched people use like even chief of staff roles to groom talent. One company board meeting I was out this week that's just phenomenal on any metric. And the last two his head, his CMO, who's who's fantastic, is performing. Miraculously, was his last chief of staff and his new head of product probably is his last chief, his current chief of staff and just like created this institution of factory where you can absorb ambitious talented people and over one to two years in osmosis train them to be senior successful leaders.
speaker 2 [01:12:02-01:12:18]: When you talk about speed, I think about ramp for sure. When Jeff was on the podcast, their CPO, he just like our title was velocity velocity velocity. And I know they have like days, if you go to days ramp com, it's like the number of days since they launched, and they're just always looking at that number.
speaker 1 [01:12:19-01:12:25]: How long is it? Oh yeah, every board meeting starts with that the first slide day day 1184.
speaker 2 [01:12:26-01:12:29]: And they're like, what are they worth? Like 100 billion dollars, not quite.
speaker 1 [01:12:29-01:12:31]: but they're probably not quite that much.
speaker 2 [01:12:32-01:12:33]: but it's a reasonable.
speaker 1 [01:12:33-01:12:34]: fraction of that.
speaker 2 [01:12:35-01:12:44]: Okay, that was incredibly valuable. Okay, one last hot take that I know you have that I want to make sure we share is this idea of criticizing in public versus in private. Talk about that.
speaker 1 [01:12:44-01:13:46]: Yeah, so this is a lesson I actually absorbed from one of the great founders I work with. Like many great founders, they have their own management philosophy, and one of the most important tenets is criticize people in public. And when you decompose the logic of it, it's so obviously true, but almost no one does this, and very few people talk about it, even if they do it. So if you think about it, when you give people feedback negative individually, you're optimizing for the atomic unit, not the system. The reason why to do it in public is it's more important for all the colleagues to understand that there's an issue, it's being addressed versus like they usually have suspicions, let's say, or concerns. And if you've channeled the negative feedback to the individual, they don't know that you're addressing this, that you're on top of it, you're aware you're addressing it. Now it's a collaborative. And then also it lets other people kind of raise their hand and say, you know what, I can kind of help with that or you know, et cetera.
speaker 1 [01:13:46-01:14:02]: And so it becomes like a team building exercise in some way versus like, oh, you have this deficiency, go fix it yourself. And then the rest of the company, you know, is nervous about why this problem is persisting.
speaker 2 [01:14:02-01:14:14]: When people hear this, they may feel like, oh wait, I'm just like it feels aggressive to be. Criticize everyone public call out any advice for just like how do you not make it this like I don't know scary environment or is that part of it?
speaker 1 [01:14:14-01:14:33]: Well, I think you want to win, you know, and there's probably an art to this. Like I would say, you know, some of the best coaches in sports probably do a bit of both. Like there's things they will say in front of the team and then there's things that probably you know channel to the individual player. So probably a mix, you know, could be very effective too.
speaker 2 [01:14:33-01:14:38]: It feels like you're not a focus on psychological safety as a core.
speaker 1 [01:14:38-01:14:59]: No, no, I don't believe in that at all. Like high performance machines don't have psychological safety, they're about winning. For those who want to, you know, a good book that's off central casting for you is read Jordan Rules or watch The Last Dance if you like, but like fundamentally read Jordan Rules. If you want to be Michael Jordan, you got to act like Michael Jordan.
speaker 2 [01:14:59-01:15:27]: Do you feel like that's negatively correlated? This idea of psychological safety with success, and it's just for the most part, yeah, interesting. I'm going to take us to failure corner, okay? So failure corner, so that you know you talk about all these things you've done that are incredibly well, all these companies you invested in, all these businesses you built, PayPal, all these things. People don't realize there's also a lot of failures along the way. Is there a story of a time you failed in your career or investing that might illuminate the doubt? You know.
speaker 1 [01:15:27-01:16:28]: when things don't go great. Well, I mentioned one, I alluded to one by action, and I talked about being aqua hired or whatever into Google and being stuck there. I'm so clearly not successful. Um, that was slide. So, you know, we did sell for like 187 million but not nowhere near the ambition, you know, didn't really achieve any of our goals product wise or company wise investing teaches you, you mostly about failures, you know, if you're a world world class investor in the early stages, 30 to 40% hit rate is great and golden. By definition, that's like 50 to 60, you know 百 分 之 7 0 failing。 there's a little bit like those old Nike commercials where there's the Michael Jordan one where it's like you know I missed 109 game winning shots in my career,or there's the tennis one,I think it's Federer that's like you know. I something like I win sixty percent of my coins. I just think I'm like the best tennis player ever, but I lose 40%, so there's a lot of that in venture.
speaker 1 [01:16:29-01:17:28]: You definitely have failures all day long. I think one of the arts is like not getting too caught up in failure. Actually, I think over on I actually gave this feedback in the board meeting recently, which is someone you know well mentioned well-meaning one or two board members are like, well let's do retros on our failures. And the company's doing really well, so I was like, you know what? Honestly, I'm not sure I would do this. I was like, I don't want to deter people from taking ambitious shots on goal. And if you overemphasize failures and you know, people think they're going to get criticized, this is where psychological safety maybe has some validity, which is. Be ambitious, be bold, don't worry about the failing part unless there's things you miss that you know could have been factored in, but you want people to take risk and you want people to be excited about raising their hands for very difficult problems and challenges because that's how you create value. And so I was like, no, let's really not do these retros, let's just focus on winning.
speaker 2 [01:17:28-01:17:36]: CONTR takes ALLROUND, Keith, IS THERE ANYING else YOU wantedANT TO SHARE ANYING else YOU WANT TO LEAVE LISTENERS WITH BEFORE WE get TO OUR very EXCITINGGHT roundUND.
speaker 1 [01:17:36-01:17:39]: I' EX excitedITED FOR yourGHTNING ROUND. THIS is USALLY LIKE ONE OF the BEST parts your podcastODC.
speaker 2 [01:17:39-01:17:43]: OKAY, FIRST QUESTION, WHAT are TWO or THREE booksS THAT YOU findIND yourselfELF R recommendingEND MOST OTHER P people?
speaker 1 [01:17:43-01:18:10]: SO THEUM number ONE ONE is CALLED THEIDE of STR UM BY KELL Kelly McDDles, PROFESSOR AT STF, AND B basically it AR argues in AH an IN incrediblyDI CO compelling way that IF YOU want to be happy, healthyALY or wealthyY, you need more stressESS in your LI, NOT L. SO IT's MAG, THE evidenceENCE SHE MAR marshals is. Effectively uncriticable at the outcome level, at the biochemical level, it is transformative to people to read this book. So highly recommend it.
speaker 2 [01:18:10-01:18:14]: Favorite recent movie or TV show you've enjoyed.
speaker 1 [01:18:14-01:18:54]: TV actually just watched Nuremberg Trial. Highly recommend Nuremberg. There's a lot of lessons there that are applicable to the modern world, so I won't spoil it all, but. Even I'm kind of a student of history and politics, and watching the movie, I probably learned five or ten things that I'd never knew before. So highly, it's extreme. I mean, obviously not an exciting thrilling movie, but it's an extremely well produced movie and incredibly useful to understand. you know some of the travesties of history and. How to prevent them in the future.
speaker 2 [01:18:55-01:18:57]: Where do you find? This is that one of the streaming services?
speaker 1 [01:18:58-01:19:00]: It's either on netflix or itunes or both sweet.
speaker 2 [01:19:01-01:19:07]: Okay, is there a product that you've recently discovered that you really love rarely?
speaker 1 [01:19:08-01:19:34]: You know, i do find i do find products that i'm addicted to like, you know, now this precise about eight sleep, which is another one of my conventions is, you know, you must sleep eight hours a day. You must prioritize sleep even when you're very busy. I am an investor in some somewhat biased in eight sleep, but it transforms people's lives. So I'm still addicted to that one. I don't know if there's like a new product that you know I've been fanatically addicted to recently.
speaker 2 [01:19:34-01:19:40]: Eight sleep counts. Do you have a life motto that you find yourself coming back to in work or in life?
speaker 1 [01:19:40-01:20:06]: No days off, hashtag no days off. I don't believe in taking days off from workout, I don't believe taking days off from work period. Derivation for those are interested is when Bill Belichick won the Super Bowl for like whatever billionth time with the Patriots as back-to-back Super Bowl wins. I think he started the championship celebration parade with this chant of no days off. So that's kind of my mantra.
speaker 2 [01:20:06-01:20:12]: And when you say no days off, are you saying like work every day, like you know, like work the weekend sort of thing or what do you?
speaker 1 [01:20:12-01:20:36]: That too. But so aside of the work outside, I believe I've missed seven days and seven years of working out and it still kills me like half of those I still am annoyed that I missed like I was working. If I really really had reoriented my schedule, I should have been able to hit at least four of those and I measure it and I post it at the end of every year. UMLastAST year I miss nun SO I WAS very HAPP, BUT I DON't B believeIE in excuses basically NO DAY off as a PROX FOR I don't B believe in excuses..
speaker 2 [01:20:38-01:20:39]: AND do you workK OUT EVERY day?
speaker 1 [01:20:39-01:20:53]: IS that the ruleLE? I mean, literally there' only sevenVEN daysS in the lastAST sevenVEN yearsARS IVEN workedED out. THAT includes all kinds ofLL, S, TRA travel, INTER international time zone travel, weddings. THERE's like no EX excuses.
speaker 2 [01:20:53-01:20:55]: like actuallyUALLY EVERY day. All right.
speaker 1 [01:20:55-01:20:57]: AND MORE TH once, TY typically MORE than onceCE a day.
speaker 2 [01:20:57-01:21:01]: BUT AND you'veVE T ME BE before we START recording, you hadAD a barARRY'sS CL this morning, you have another ONE later TO today.
speaker 1 [01:21:02-01:21:04]: I do and a.
speaker 2 [01:21:04-01:21:16]: lift okay, final question. So you were famously part of the PayPal mafia. I'm curious if there was someone there that's like overperformed someone that you worked with that you never thought would be that good.
speaker 1 [01:21:16-01:21:36]: Honestly, no, a lot of investing in you know most of most of the derivative companies and stuff. And so I think I had a good spidey sense of which people you know had had. Kind of at least founder level ambition and could potentially build something. Sorry, I wish I could give you a better answer.
speaker 2 [01:21:37-01:21:39]: Like they would have been mad at you anyway, so this is the.
speaker 1 [01:21:39-01:21:45]: safer answer. Wow, it's Pence. If they've been super successful, they're Senator H. Peter Thiel.
speaker 2 [01:21:45-01:21:59]: just kidding. Yeah, yeah, yeah. Elon Musk. Keith, thank you so much for doing this. I learned so much. This is going to help a lot of founders, a lot of people building stuff. Two final questions: where can folks find you online if they want to reach out? And how can listeners be useful to you?
speaker 1 [01:21:59-01:22:07]: yeah, so at x. com, i tweet prolifically. um, you mentioned my pin tweet, so that's probably the easiest way. sweet.
speaker 2 [01:22:08-01:22:10]: key, thank you so much for being here.
speaker 1 [01:22:10-01:22:12]: pleasure to be with you. thanks for the invitation.
speaker 2 [01:22:13-01:22:37]: thanks for accepting it. bye everyone. Thank you so much for listening. If you found this valuable, you can subscribe to the show on Apple Podcasts, Spotify, or your favorite podcast app. Also, please consider giving us a rating or leaving a review, as that really helps other listeners find the podcast. You can find all past episodes or learn more about the show at LennyPodcast. com. See you in the next episode.

最新摘要

生成于 2026-04-14 22:17

核心概览

这期对谈主要讨论四条主线:如何识别并组织顶尖人才、为什么多数公司扩招后反而变慢、AI正在如何改写岗位边界,以及高绩效组织应如何保持速度与压强。Keith Rabois的核心判断是:创业公司的上限首先由团队质量决定,而不是先由市场、产品或技术决定;真正稀缺的人,不是“能力不错的人”,而是能把模糊目标独立推进到结果的人。围绕这点,他提出了“炮管与弹药”框架,解释为什么很多公司人越来越多、产出却没有同步提升。

在AI部分,他的看法同样明确:传统岗位边界会继续坍塌,未来真正值钱的能力越来越像“CEO能力”——理解业务要去哪里、判断现在该造什么、快速做出可运行版本、并随技术变化实时改路。他尤其强调,AI并不只放大工程师,很多最先吃到红利的人,恰恰是愿意自己上手的业务高管。

在管理与产品判断上,Keith给出了一系列争议性但内部逻辑一致的主张:他主张通过高密度背调和非模板化判断去识别顶尖人才;反对把消费者或SMB访谈当作产品方向依据;认为高绩效组织不应把“舒适”当目标,而应持续对抗成功带来的松弛。这些观点都指向同一个底层逻辑:公司竞争的本质,仍然是少数高杠杆人才、足够快的执行节奏,以及对真实价值创造的持续逼近。

关键议题与详细总结

一、Keith认为:团队质量决定公司质量,人才密度是创业最重要的基础设施

Keith提到,他在Square从董事Vinod Khosla那里学到的最重要一句话是:“你建立什么样的团队,就会建立什么样的公司。”

他的判断链条很直接:

  • 很多创业者会把注意力优先放在市场、客户、产品、技术上;
  • 但真正决定这些事情最终是容易还是困难的,首先是团队;
  • 如果团队是对的人,很多难题都能被解决;如果团队不对,几乎所有问题都会被放大。

他把PayPal视为最典型的例子。PayPal之所以后来能持续产生一批标志性创业者和公司,不只是因为抓住了机会,而是因为Peter Thiel和Max Levchin在早期聚集了极高密度的人才。在Keith看来,人才密度一旦足够高,公司不仅当下更容易成功,还会在之后持续外溢出新公司、新网络和新机会。


二、识别人才是一种可训练能力,但Keith强调:标准流程只能提高基线,识别最顶尖的人必须偏离模板

1. 他早期并不擅长“面试陌生人”

Keith坦言,自己职业早期并不擅长招聘。真正让他意识到问题所在的,是他在PayPal内部的经历:他发现自己并不是不会识别人才,而是不会在短时间面试里准确识别陌生人才

他当时更擅长做的事情是:

  • 在组织内部观察已经共事过的人;
  • 判断谁被低估、谁没有被放到最能发挥的位置;
  • 再把这些人招到自己的团队里。

这让他意识到,自己对“有上下文的人”判断挺准,但对“陌生候选人”的识别能力很普通。

2. 招聘像肌肉,需要持续训练和复盘

Keith认为,招聘能力不是玄学,而是可以通过反馈循环持续提升。他建议公司采用一个极简单但有效的做法:

  • 在候选人入职30天后,回头问自己:如果再来一次,还会不会做同样的录用决定。

他提到,自己看到过的研究结论是:30天时的判断,和一年、两年后的判断相比,准确度并没有差很多。这意味着招聘反馈不需要拖很久,完全可以建立更短的学习闭环。

3. 他特别强调:识别顶尖人才,不能只靠“标准化playbook”

Keith把这个边界讲得很清楚:

  • 技巧、方法、流程,能帮助多数人把招聘判断从中位数往上拉一些;
  • 这些方法对提升“基线能力”很有用;
  • 但如果目标是识别 top 10 basis points、top 50 basis points 的顶尖人才,不能只靠标准流程。

他的理由是:真正非凡的人,本来就往往不符合模板;如果靠所有人都能复制的流程识别,按定义就很难持续识别出最稀缺的人。

换句话说,Keith并不否定方法论,但他认为方法论更多用于“减少低级错误”,而不是“机械产出顶级判断”。


三、在Keith看来,招聘里最容易被低估、但最可训练的能力之一,是高强度背调

Keith反复强调,很多公司背调做得远远不够,尤其是在高级岗位招聘上。

1. 高级岗位要做“狠背调”

他举了DoorDash联合创始人Tony Xu的例子:每个高级岗位做20个背调。在Keith看来,这种强度本身就说明了一件事:如果一个人愿意为招聘投入如此高密度的信息搜集,他大概率会比别人做出更准确的判断。

他还提到Greylock过去的一个做法:在给创始人做背调时,不碰到负面反馈就不算结束。意思不是为了找黑料,而是为了确认你已经真的把样本打透,而不是只听到礼貌性正面评价。

2. 关键不是背调数量,而是问对问题

Keith举了Fair创始人Max的案例。很多投资人在做背调时问的是:

  • “Max是不是一个好员工?”

这个问题会得到很混杂的答案,也因此让一些投资人错过了投资Fair。

但Keith认为,真正应该问的是:

  • “Max是否有成为世界级创业者的能力?”

同一个人,不同问题框架,得出的判断会完全不同。Keith的结论是:很多人不是没有获取信息,而是从一开始就在验证错误的问题。

3. 他常用的背调问题

Keith认为较有信息量的两类问题是:

  • 什么条件下,这个人最可能成功?
  • 如果这次不成功,最可能的根因是什么?

这两个问题的价值在于,它们会逼对方讲出更具体的情境、约束和边界,而不是停留在“不错”“靠谱”“挺强的”这种无效评价上。


四、Keith用一个问题判断候选人的上限:如果你是CEO,你会做什么不同?

对于高级岗位和领导岗位,Keith经常问候选人一个问题:

  • “如果你是现在这家公司的CEO,你会做哪些不同的决定?”

他认为这个问题可以看出几件事:

  • 候选人是否真正理解所在业务;
  • 是否能抓住价值创造的关键杠杆;
  • 是否有战略编辑能力,而不只是执行现状。

如果候选人回答得很好,他还会进一步追问:

  • “那你为什么没能说服现任CEO这么做?”

这个追问很关键,因为它把问题从“你有没有想法”推进到“你有没有组织影响力”。Keith想验证的不是纸面洞察,而是候选人能否把判断变成现实。


五、“炮管与弹药”是Keith解释组织失速的核心框架

这是整期对谈最有辨识度的组织观点之一。

1. 为什么很多公司扩招后反而更慢

Keith观察到,很多公司在拿到融资、获得初步牵引后,会迅速扩大团队。随后CEO常常陷入同一种困惑:

  • 人变多了;
  • burn rate上去了;
  • 但单位时间内完成的重要事情并没有明显增加,甚至更少了。

他认为问题不在于“招太多人”本身,而在于:公司新增的是更多“弹药”,却没有同步增加足够多的“炮管”。

2. 什么是“炮管”,什么是“弹药”

在Keith的定义里:

  • 炮管:能把一个目标从模糊状态推进到成功落地的人。这个人能拉资源、做权衡、推动协同、处理阻塞、主动暴露风险,并最终把团队带过那座山。
  • 弹药:重要且必要,但更多是在既定方向下提供支持、执行和补强的人。

他强调,弹药当然重要,很多项目没有设计、工程、数据、运营等支持也做不成;但公司能并行推进多少个关键项目,最终取决于“炮管”的数量,而不是总人数。

3. 如果没有更多炮管,只会增加协作税

Keith的核心逻辑是:

  • 一个公司真正能独立推进的关键事项数量,本来就很有限;
  • 如果你没有增加能独立带项目的人,只是往现有项目后面继续堆人;
  • 结果就是协调成本、合作成本、信息同步成本全面上升;
  • 最终表现为:人更多,组织更慢。

他举例说,PayPal被收购时大约有254人,但真正严格意义上的“炮管”可能只有12到17个。即便在优秀公司里,这类人也始终是少数。Jack Altman曾告诉他,Lattice里真正的“炮管”只有两个,Keith认为这反而更接近大多数现实。

4. 如何识别真正的“炮管”

Keith的定义非常具体:

  • 给这个人一个目标;
  • 不需要把路径事先铺平;
  • 他会想办法把事情做成;
  • 如果会出问题,也会提前带着根因分析、已尝试方案和求助请求回来,而不是让问题最后一刻爆炸。

主持人用“agency”来概括,Keith认可这个词,但觉得这个词经常被说空了。他更在意的是:这个人能不能被交付一个结果,并让你真正“fire and forget”。

5. “奶昔测试”:一个实习生如何暴露出炮管特质

Keith分享了自己在Square的一个小例子。当时他希望工程师晚上九点还能拿到健康、好喝、而且是冷的奶昔,办公室团队和行政资源不少,但一直做不好:

  • 时间对不上;
  • 温度不对;
  • 体验不好;
  • 结果没人愿意喝。

后来一个刚入职第二天的实习生Taylor Francis听完后说:“我来解决。”结果当天晚上九点,奶昔准时、好喝、且足够冷地送到了工程师聚集的地方。

Keith当场意识到:这就是炮管。因为问题本身不大,但足够真实,且此前很多人都没解决。这个实习生能把模糊要求转成稳定结果,说明他具备极强的独立推进能力。Keith后来把越来越多事情交给了他。


六、吸引顶尖人才,Keith认为不能只靠薪资,而要让对方相信:他的独特能力正好是公司当前最关键的解法

Keith承认,使命、愿景和公司前景依然重要,尤其是在优秀候选人同时拿到多份offer时,这些是基本盘。

但在他看来,更有效的说服方式是:

  • 找到候选人的独特能力;
  • 再把这项能力和公司当前最关键的阻塞点对上。

这样候选人感受到的就不只是“这是一家不错的公司”,而是:

  • “这家公司此刻最需要的,正好是我最擅长解决的问题。”
  • “如果我加入,我能直接改变结果。”

他自己加入Square就是这样被说服的。对方告诉他,当时既懂金融服务、又具创业者能力的人极少,而Square眼下最关键的瓶颈,正好需要这种组合能力。这种“你是少数真正能解这个题的人”的叙事,最终让他提前离开Google加入了Square。


七、Keith主张创业公司优先寻找“未被市场正确识别的人才”,而不是正面硬抢所有人都想要的人

1. 他的长期信念:真正的优势来自“未被发现的人才”

Keith说,这个理念是Peter Thiel在PayPal时期就灌输给他的:创业公司要想对抗资源更强的大公司,必须建立在发现未被正确处理的人才之上。

他的判断是:

  • 大公司有更强薪资、更成熟品牌、更系统流程;
  • 创业公司如果试图用同一套标准去抢所有人都知道的热门人才,通常没有胜算;
  • 所以更现实、也更有alpha的做法,是找到为什么这个人会被大公司误判或漏掉

2. 他如何思考“未被发现的人才”

Keith建议反向问自己:

  • 如果这个人去Meta、Google、Block、Coinbase,会在哪一步被错过?
  • 是因为简历不标准?
  • 数据点太少?
  • 背景不符合常规模板?
  • 风格不被同质化系统正确处理?

一旦能明确大组织会错过他的原因,反而更容易建立自己的招聘优势。

3. 为什么这经常会让你招到更年轻的人

Keith特别强调,这不是因为他“偏爱年轻”,而是因为:

  • 年轻人天然数据点更少;
  • 履历更短,黑箱筛选系统更难准确判断;
  • 信息少本身就意味着更高的错误定价空间。

他把这和投资早期创业公司做类比:越是数据已经充分、路径已经被系统消化的人,越容易被市场正确定价;真正的超额收益,往往来自别人还没能标准化处理的对象。


八、Keith认为CEO的职责之一,就是持续施压,对冲组织在成功后的天然松弛

Keith引用Mike Moritz的一句概括:顶级CEO的共同特征,是“持续施加力量”。

1. 为什么越成功,越要推高标准

他的理由是:

  • 组织一旦开始赢,就会天然变得更舒服;
  • 越成功,越容易出现“已经挺好了”的情绪;
  • 而绝大多数公司,并没有强到可以靠惯性长期赢下去。

因此在他看来,CEO最重要的职责之一,就是对冲这种自满。表现越好,越要继续往上推。

2. 公司困难时,他反而不主张继续猛批

Keith也区分了不同阶段的管理方式。作为投资人和董事,他说自己在公司表现不好时,通常更像支持型教练:

  • 因为创始人自己已经知道公司在挣扎;
  • 这时继续增加批评,并不能直接解决问题。

但当公司表现很好、团队士气高、大家都觉得“挺顺”的时候,他会更主动指出问题。原因是:真正危险的往往不是低谷期,而是高点里的松弛。

3. 顶尖人才并不喜欢“滑行”

主持人提到,Airbnb有时稍微慢下来,团队士气反而下降。Keith非常认同这一点。他认为真正有野心、能力强的人,像顶级运动员一样:

  • 他们有自己的节奏和内在驱动力;
  • 当组织处于“滑行”状态时,他们并不会更快乐;
  • 反而会因为缺少挑战、缺少创造感而失去兴奋度。

所以在Keith看来,持续拉高标准不是单纯施压,也是在保护最优秀的人不被组织惯性拖慢。


九、关于AI时代的职业焦虑,Keith的建议不是“别担心”,而是:保持智识好奇心,主动把原本依赖别人的工作拿回来自己做

Keith并没有淡化变化。他明确说:AI会重塑很多人的职业路径,甚至可能包括他自己。

但他认为,面对这种变化,最有效的策略不是只停留在焦虑,也不只是机械地更努力,而是:

  • 保持高度的智识好奇心;
  • 亲自上手;
  • 学会利用AI做过去必须依赖他人完成的工作。

1. 一个很有代表性的观察:最会消耗token的人,可能是CMO

Keith提到,他在一些非常优秀的组织里看到一个现象:消耗token最多的人不是工程负责人,而是CMO。

原因在于,优秀的业务高管一旦愿意上手AI,就能做很多过去需要层层代理才能完成的工作,例如:

  • 自己做分析;
  • 自己生成活动方案和草稿;
  • 自己快速形成洞察;
  • 直接把结果拿给CEO看。

这在Keith看来非常重要,因为它说明:AI带来的不只是岗位替代,更是“个人杠杆”的重新分配。最有竞争力的人,往往是最先把新工具转化为个人产出的那批人。


十、Keith认为AI正在打散PM、工程、设计的传统边界,真正稀缺的能力越来越像“判断力 + 直接交付”

1. 他对传统PM角色持强烈怀疑

Keith提到,他听完Peter Fenton的一次播客后更坚定了一个看法:传统意义上的PM在未来会越来越站不住。

他并不是否定“产品思考”本身,而是否定一套旧的工作模式:

  • 靠客户输入整理需求;
  • 制定一整年的路线图;
  • 按计划线性推进。

在Keith看来,这套方法在AI时代越来越不成立,因为底层能力变化太快了。去年11月还做不到的事情,今年3月可能已经变得很容易。如果环境是这样变化的,一年期路线图本身就很容易变成伪精确。

2. 未来真正重要的是“像CEO一样思考”

Keith和主持人最后基本达成共识:无论你原来叫PM、工程师还是设计师,未来都越来越需要具备类似CEO的能力:

  • 理解公司业务方程式;
  • 知道为什么要做这件事;
  • 判断现在做什么最能推动结果;
  • 把判断迅速转成可运行的东西。

在他看来,未来的核心技能不是“协调别人做”,而是自己能够更直接地推动价值落地。

3. 工程师中的商业直觉会被极大放大

Keith提到,自己合作过的一些最强工程师,本来就具备强烈的商业直觉,比如Max Levchin、Jeremy Stoppelman。AI时代会把这种复合能力的价值进一步放大,因为:

  • 工具让个人能做的事情更多;
  • 团队规模可能变小;
  • 于是“知道该做什么、为什么这件事有商业意义”的能力会变得更稀缺。

他还举了Ramp一位工程负责人为例:此人管理20人团队,同时自己产出的代码量仍接近过去作为个人贡献者时的水平,因为他把AI当作第二支团队来调度。

4. 设计与代码正在合流

对于设计,Keith的判断不是“设计会消失”,而是设计和代码正在快速融合

  • 要么代码工具越来越会表达设计;
  • 要么设计工具越来越能直接转成代码;
  • 两者之间的边界会越来越模糊。

5. 设计真正的alpha,不只是界面,而是“讲故事”和“穿透噪音”

这是他谈设计时一个非常关键的落点。

Keith认为,即使AI让制作界面和原型更容易,设计依然重要,甚至更重要的部分不在工具,而在表达。他把这点和营销放在一起看:真正稀缺的不是会不会用工具,而是能不能用最简洁、最有穿透力的方式把产品价值讲明白,切穿市场噪音。

换句话说,在他看来,设计在AI时代的高价值部分,更接近:

  • storytelling;
  • framing;
  • cut through the clutter;
  • 用最强叙事让用户立刻理解“这是什么、为什么重要”。

6. 组织会越来越要求“可运行的东西”,而不是静态文档

Keith举了Shopify的例子:过去两年里,产品展示不允许只做PPT或Keynote,必须给出可运行demo。管理层不再愿意看静态描述,而是希望直接看到“已经工作的东西”。

这说明在Keith看来,未来产品、设计、工程不再是清晰串联的三段式链条,而是越来越趋向一体化表达和快速验证。


十一、Keith反对把消费者和SMB客户访谈当作核心产品依据,因为他认为:这不只是样本小,而是方向性危险

这是对谈里争议最大的一部分,也是Keith表达得最坚决的地方之一。

1. 他的基本立场

Keith直说:

  • 他不喜欢和客户谈产品;
  • 也不愿意让身边同事频繁这么做。

但他也给了明确边界:大型企业客户开发例外;消费者、SMB、小微商户场景则通常不值得信。

2. 为什么他认为消费者访谈常常会误导

他的逻辑有两层。

第一层是:很多消费决策本质上由潜意识驱动。

用户并不是故意说假话,而是他们自己也未必知道真实动机。例如他举例说,如果去问保时捷或兰博基尼车主为什么买车,绝大多数人会给出许多解释,但通常不会说出真正驱动购买的核心原因。也就是说,用户即使真诚,也常常会对自己的行为给出错误解释。

第二层是:脱离真实分发环境的访谈或测试,不是现实世界的有效代理。

Keith特别强调,真实市场里产品不是被放进一个安静实验室里被评价,而是在:

  • 信息噪音中;
  • 注意力竞争中;
  • 用户正在通勤、工作、刷手机、做别的事时;
  • 与无数其他内容和产品一起竞争“被看见”的机会。

所以他认为,很多隔离式用户测试的根本问题,不只是样本少,而是它没有测试产品在真实世界中“穿透噪音、争夺注意力、完成分发”的能力。

3. 他为什么认为企业客户是例外

在大型企业场景中,Keith认为情况不同,因为:

  • 有明确决策者;
  • 决策更偏工具性和效用性;
  • 账户数量可数;
  • 可以直接接触关键负责人,并影响其决策。

他举例说,如果一家AI公司接下来两年的关键目标是拿下30个必须赢的客户,那么围绕这30个客户做深度对话、接触决策者、甚至影响客户CEO,就是非常有价值的。

4. 他更看重“行为信号”,而不是“口头反馈”

Keith拿DoorDash和Airbnb举例说明,他更看重的是:

  • 真实市场有没有行为迹象表明需求存在;
  • 这些行为是不是已经以某种形式发生,只是还没有被更好地组织起来。

比如DoorDash早期打动他的不是“很多人说想要这个”,而是一个更基础的数据:美国大约93%的餐厅不提供配送。这意味着供给侧存在巨大空白。

再比如Brian Chesky最初给他讲Airbnb时,提到Craigslist上有相当数量的人在发布“想租别人卧室”的信息。这个行为信号让Keith立刻意识到:市场可能已经在,只是产品形态还没被做出来。


十二、关于内容创作,Keith认为:AI内容超越人工内容几乎不可避免,但“人类原创”会因出处和真实性保有溢价

主持人提到AI生成内容未来会不会超过人类内容,Keith的回答非常直接:“这是不可避免的。”

但他的看法不是简单的“AI全面替代人”。他认为未来可能会分成两极:

  • 一类内容会明确以“这是人做的”为卖点,强调出处、真实性和创作者身份;
  • 另一类内容则完全按结果排序,不再在意是不是AI生成,只在意“是不是最好”。

他用艺术品做类比:即使AI可以生成非常像某位大师风格的作品,真正出自这位艺术家之手的作品依然会因为“provenance”(来源与真实性)而拥有额外价值。

他还补充了一个关于AI写作的观察:现在AI在长文本写作上表现不稳定,部分原因可能不是能力本身不行,而是模型在经济上做了token配给。越短的输出,质量通常越高。


十三、关于管理风格,Keith主张:很多负面反馈应该在公开场合说,因为组织优化比个体舒适更重要

1. 为什么他认为公开批评有价值

Keith说,这一管理理念来自一位非常优秀的创始人。他给出的逻辑是:

  • 如果你私下给一个人负面反馈,你优化的是这个原子个体;
  • 但很多问题本身并不只属于这个人,而是整个团队都在观察、感受、受其影响;
  • 如果问题被公开指出,团队会知道管理层已经识别到问题、并正在处理;
  • 其他人也可能因此参与补位、协助解决。

在他看来,公开反馈的价值不是羞辱个人,而是让整个系统知道问题已被识别、责任已被接住、修正正在发生。

2. 他不把“心理安全”视为高绩效组织的核心

主持人追问这是否会伤害心理安全。Keith的回答非常明确:在他看来,高绩效机器不是围绕心理安全构建的,而是围绕赢来构建的。

他用职业体育作类比,认为如果目标是达到Michael Jordan级别的竞争强度,就不能把“每个人都感觉舒服”当作最高优先级。

不过他也承认,实践上可能不是所有反馈都适合公开处理,现实中往往需要公开和私下结合。只是他的重点在于:现代组织往往过度偏向保护个体感受,而不足以优化整个系统。


十四、Keith看早期创业投资,最重视三件事:创始人、速度、可积累优势

1. 他的投资框架首先是“创始人驱动”

Keith明确说,对种子轮和A轮投资,他最核心的问题只有一个:

  • 这个创始人有没有非零概率改变一个行业,甚至改变世界?

如果他认为有,这对他来说就足够了。他也承认,不同投资人有不同模型:有人更偏技术,有人更偏产品或市场,而他自己的方法更偏创始人。

2. 对AI创业,他最先问的是:基础模型会不会把氧气吸干

他认为,现在评估AI公司,首先要问一个长期生存问题:

  • 如果底层模型实验室持续高速进步,应用层公司未来8到20年还能剩下什么可持续空间?

因为在他看来,创业不是为了抓一年热度,而是为了建立能够长期存在的业务。

3. 他非常在意“可积累优势”

Keith长期会问一个问题:这家公司会随着时间推移变得更强吗?

网络效应只是其中一种,关键是:

  • 是否存在会不断积累的优势;
  • 这些优势会不会让公司越来越难被复制;
  • 创始人是否能清楚讲出这些优势未来如何形成、何时出现、怎样被利用。

他并不要求早期公司已经证明这些优势存在,但要求创始人至少能清晰描述其形成路径。

4. 早期最强信号之一是速度

Keith说,优秀公司非常早就会呈现出一种不同的执行节奏。他用Square、Fair、Ramp举例,认为那种真正让人印象深刻的速度,不是“很忙”,而是:

  • 上次会议刚识别一个问题;
  • 到下次会议时,方案已经做了、上线了、开始测量了。

他在Ramp身上看到的一个强烈信号就是发卡推进速度异常快。对一家金融服务公司来说,三个月就逼近发卡上线,是非常不寻常的速度。这种速度本身,就是能力密度的外显。

5. 他观察到很多成功公司会把“内部培养”做成优势

Keith认为,许多优秀公司并不依赖从外部挖来一堆资深高管,而是更擅长:

  • 招到高潜力人才;
  • 让他们在组织内部快速成长;
  • 把Chief of Staff等岗位变成领导力培养管道;
  • 最终把这些人推成CMO、产品负责人等关键角色。

他用一个董事会见到的案例说明:一家表现极强的公司,前任chief of staff成长成了CMO,现任chief of staff又在走向产品负责人角色。Keith认为这类“内部人才工厂”常常比外部引进更有竞争力。

他还给出一个判断框架:如果是价值创造型岗位,经验未必比潜力更重要;如果是价值保全型岗位,资深经验通常更有帮助。


十五、关于失败,Keith的重点不是“失败值得复盘”本身,而是:不要因为过度复盘失败,打掉组织的冒险意愿

Keith承认,无论创业还是投资,失败都很多。他提到自己卖给Google的那次创业,虽然实现了退出,但离最初野心差得很远。

作为早期投资人,他也强调:

  • 顶级投资人的命中率本来就不高;
  • 大量项目失败是常态,而不是例外。

但他对“失败复盘”的态度有一个重要限定:如果公司当前整体发展很好,他并不一定支持反复做失败复盘。原因是:

  • 过度强调失败,可能让团队更害怕承担高风险目标;
  • 如果大家担心每次失败都要被反复审视,组织会自然趋向保守;
  • 而真正创造巨大价值,往往需要人愿意主动去接难题、冒风险。

所以在这件事上,他更强调:让团队持续愿意大胆出手,比把每一次失误都讲透更重要。


十六、Keith的个人工作方式,也和他的管理逻辑高度一致

访谈开头有一个细节很能说明他的工作风格:他自2010年9月以来几乎没再用过电脑,主要靠iPad、手机和手表工作。

他的解释包括:

  • 更轻;
  • 更灵活;
  • 更少干扰;
  • 随身携带成本更低。

这背后也是一种一贯的偏好:只保留真正提升产出的工具,不为“更重但更强”付出不必要代价。

在个人纪律上,他的口号是“No days off”

  • 工作不想停;
  • 训练不想停;
  • 过去七年只缺席过极少数锻炼日,且对此仍耿耿于怀;
  • 去年甚至是零缺席。

这套个人习惯和他对组织的要求是一致的:高标准不是阶段性冲刺,而是一种稳定节奏。

数据与关键信息点

  • PayPal被收购时约有254名员工,其中真正可视作“炮管”的人约12到17个。
  • DoorDash高级岗位招聘可做20个背调。
  • 招聘后30天复盘录用判断,Keith提到其有效性接近更长期回看。
  • DoorDash早期打动Keith的一个数据是:美国约93%的餐厅不提供配送。
  • Keith过去七年只缺席过约7天锻炼,上一年为0天。

对招聘、组织与产品决策的可执行启发

招聘与人才判断

  • 把招聘当成持续训练的能力,而不是一次性判断。
  • 建立30天录用复盘机制。
  • 对高级岗位提高背调强度,重点验证成功条件与失败根因。
  • 识别顶尖人才时,不要迷信标准化流程;真正非凡的人常常不符合模板。
  • 优先寻找“会被大公司筛选系统误判的人”。
  • 区分“炮管”和“弹药”,扩招时优先增加前者。

组织建设

  • 公司越顺,越要防止组织滑入舒适区。
  • 把速度当作能力密度的外显信号,而不是空洞口号。
  • 对价值创造型岗位,内部培养往往比外部空降更有效。
  • 必要时让问题在组织内被看见,系统优化通常比只做私下安抚更重要。

AI时代的岗位与产品

  • 减少对长期静态路线图的依赖,提升按周甚至按更短周期改路的能力。
  • 让更多非技术角色直接上手AI,提高个人杠杆。
  • 未来岗位竞争力越来越取决于:理解业务、判断优先级、做出可运行demo、快速迭代。
  • 设计的高价值部分不会消失,反而更集中到讲清价值、穿透噪音、形成叙事优势。

客户研究与市场验证

  • 对消费者、SMB和小微商户场景,要谨慎对待访谈结论。
  • 不要把隔离式测试误当真实市场反馈,真实世界里还存在注意力竞争与分发问题。
  • 大型企业销售是例外,因为存在明确账户、明确决策者和可验证的购买逻辑。
  • 相比“用户说了什么”,更应关注“用户已经做了什么”。

结论回顾

  • Keith的核心判断是:公司扩张的瓶颈通常不是总人数,而是能独立把目标推进到结果的人太少。
  • 在AI时代,传统岗位名称的重要性会下降,真正稀缺的是判断该做什么、为什么做、并迅速做出来的能力。
  • 他主张高绩效组织不以舒适为最高目标,而以速度、密度、直接反馈和持续提高标准来维持竞争力。
  • 无论是招聘、产品还是投资,他最看重的始终是同一件事:能否识别出少数真正具有高杠杆的人,并围绕他们建立能持续赢的系统。

相关推荐 (...)