Kunal Shah 论在印度的制胜之道、二阶思维、创业哲学及更多话题
Kunal Shah on winning in India, second-order thinking, the philosophy of startups, and more
LENNY RACHITSKY: Microsoft, Adobe, Alphabet, IBM, Palo Alto Networks, even Starbucks, the CEOs of these companies were all born in India and immigrated to the US.
KUNAL SHAH: A lot of CEOs have done well because they follow the “dharma” of the founders quite well.
“These are the principles that were given to me and I’m going to sustain this and make it even bigger.”
LENNY RACHITSKY: I want to keep talking about India and how it’s different and how to build products that are successful in India.
KUNAL SHAH: No Indian has ever been paid an hourly salary in their entire life.
The concept of time is not the same.
LENNY RACHITSKY: What do you see as the biggest opportunity for Indian startups?
KUNAL SHAH: India is changing because now, for the first time, we are seeing founders being respected and unicorns being celebrated.
We have a National Startup Day, and probably the first generation that will have to prove ourselves to be very large profitable companies.
I wouldn’t want to be anywhere else building.
LENNY RACHITSKY: Today my guest is Kunal Shah.
Kunal is one of the most well-known and respected entrepreneurs and product leaders in India and around the world.
He shares endless wisdom on Twitter and LinkedIn where he has over 1 million followers.
He’s the CEO and founder of CRED, a FinTech startup based in India, which was last valued at over $6 billion and as of couple years ago processed over 20% of all credit card bill payments in India.
Prior to CRED, he founded three other startups including Freecharge, which he sold for over $400 million to Snapdeal.
Kunal is a deep thinker, both about product and about life.
His background is actually in philosophy, which comes across very clearly when you hear him share his advice.
In our conversation, we get deep into what makes working and building in India different from the US markets and other markets, including why trust is so essential and why so many people are so much more risk-averse in India.
We talk about the biggest challenges and opportunities within the India market, why there are so many successful Indian immigrants in CEO roles across tech, and what we can learn from that.
Also, why companies in India can quickly grow DAUs but not ARPUs, and what that means for building products in India.
We also talk about how to stay curious and open-minded and the power of second order thinking.
Also, stories of failure, lots of contrarian takes and so much more.
If you enjoy this podcast, don’t forget to subscribe and follow this podcast on your favorite podcasting app or YouTube.
It’s the best way to avoid missing future episodes and it helps the podcast tremendously.
A big thank you to Cyan, my ET, for making the connection to Kunal.
With that, I bring you Kunal Shah after a short word from our sponsors.
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Kunal, thank you so much for being here and welcome to the podcast.
KUNAL SHAH: Lenny, thank you so much for having me, and a huge fan of everything that you do.
And like I said before, India is a huge beneficiary of what you do.
We are all people who have learned the art of product by just figuring it out, and watching some content here and there and reading some stuff.
So kudos to everything that you do.
And like I said earlier, you do a fabulous job of taking the information asymmetry of the art of product and making it accessible to many of us across the world.
So thank you.
LENNY RACHITSKY: Wow, I really appreciate that.
This is already feeling great to me.
I have a huge.. so it turns out this podcast has a huge audience in India, as do you.
And so I feel like this conversation is going to be really special and really meaningful to a lot of people.
I wanted to start with something very tactical.
There’s a product framework that you came up with that I absolutely love, and I’ve shared it with at least 30 founders over the last couple years. And this is actually how I discovered you initially; I heard about this thing, and I’m like, who’s this guy Kunal Shah?
And look at us now, chatting.
Could you explain this framework briefly and then just how you’ve used it or how you recommend people apply it?
Oh, and by the way, it’s called Delta 4.
I don’t know if I even said the name.
KUNAL SHAH: Yeah, it’s called the Delta 4 framework, but I think it’s actually quite simple.
If you think about it, a lot of people say that your product has to be 10x better and it’s not very measurable.
You don’t know if you are 10x better or not unless you’re delusional.
And the trigger for me was actually, I’m the unusual tech founder in India.
KUNAL SHAH: I’m the only humanities/philosophy major founder in India who’s got into tech.
And I often wondered if most people who were my peers, or people who were ahead of me, were significantly smarter academically or otherwise.
And why did I become successful with my first startup, Freecharge, which I exited in 2015 for nearly $450 million?
And I was like, “What would make this happen?”
Because I would not qualify into this super league of really top IIT rankers that exist in India.
And that got me onto this philosophical quest to find out what makes things successful.
So the simple framework is, an example I give often is that, imagine the old way of taking a cab ride and an Uber. And if I asked you to give me the score of efficiency on Uber and let’s say getting the old cab, what would you say, Lenny?
I’m curious.
Out of 10?
LENNY RACHITSKY: Yeah, give a cab three and then Uber like a nine.
Yeah.
KUNAL SHAH: So every time you see that the product efficiency delta is greater than or equal to four, three things happen.
It is irreversible.
Second is that you have a very high tolerance for it to fail.
If Uber fails a little bit, will you say, “Oh my God, I’m going to really stop using it?”
No.
And the third thing is what I call the UBP, ‘Unique Brag-worthy Proposition.’
Every time humans unlock a Delta 4 product or service, they cannot stop talking or sharing about it.
And therefore all Delta 4 products will naturally have lower CAC or sometimes zero CAC because people, humans.. and think about it, Lenny, how you discovered Google, definitely not through an ad, definitely not through some performance marketing here and there.
Somebody showed you the demo and you were like, “Oh my God, this is crazy.”
And that’s what I’m seeing right now, what’s happening with everything on OpenAI and everything that is happening around LLM feels like magic and it’s Delta 4 because the efficiency of doing things before and after is now showing that.
But failure is the real problem.
And making everything tech does not make things more efficient.
Let’s take an example.
Buying a suit for yourself online versus offline, all tech, cool stuff, all the features built in.
What would you say the efficiency of buying a suit online is versus, let’s say, buying a suit offline?
LENNY RACHITSKY: I’ve actually done that and it was a terrible fit. It did not fit at all.
And so it’s efficient, but the end result was not, it’s probably often not great.
So it’s probably-
KUNAL SHAH: Overall efficiency score, what would you give?
LENNY RACHITSKY: Of buying a suit online?
KUNAL SHAH: Yeah, versus offline.
LENNY RACHITSKY: I’d probably give it five and five.
Offline is actually probably a better experience.
I give it a seven.
KUNAL SHAH: That’s crazy because you’ve broken the principle, this is a tech product, but the efficiency is better offline.
And therefore when the delta is less than four, what you will discover is that it is reversible.
You will not see people bragging about it and you have zero tolerance for it.
So you’re never going to buy a suit online. I can tell you that right now.
So I think it’s a simple framework.
I believe that if many companies applied.. I know now many VCs in the US use this as part of the training program for analysts.
omebody in Sequoia mentioned this to me that they have this as part of the thing, but in India we are not still applying many of these things.
I think it’s a simple framework to at least know. You can apply this to features, you can apply this to products, you can apply that to business.
And oftentimes this is a longer concept.
We can talk about it in many ways because it’s derived out of some study around entropy and evolutionary biology, which is the root of how I discovered and thought about Delta 4, that “When does a species get disrupted ” or “what is entropy and why does low entropy require growth of high entropy?”
It’s a day long podcast on its own.
So some other time.
LENNY RACHITSKY: Okay.
We’ll save that for a future follow-up, just diving in on the psychology of Delta 4. Just to kind of summarize this, because I think it’s such a powerful framework and I find it useful to convince founders why their product isn’t taking off.
They may feel like this is better than. The classic example, is a better Excel.
Look, this is so much better than Excel.
It can do all these things.
You don’t have to learn all these formulas.
But the trick here that I love is just what people rate the existing solution 1to 10, what would they rate your solution 1 to 10?
It has to be four points higher, otherwise no one’s going to pay attention.
And I think it’s pretty simple.
People are busy, they have enough things to do, they have enough products and apps, they’re not going to take the time to really dig into something if it’s not that much better.
KUNAL SHAH: Absolutely.
LENNY RACHITSKY: Okay.
I’m going to go in a totally different direction.
I want to talk about Indian CEOs in the US.
Okay.
So today the CEOs of Microsoft, Alphabet, Adobe, which is a 170 billion company, Palo Alto Networks, which is a 100 billion company, I was looking that up.
And then also Twitter before Elon took over Twitter. The CEOs of these companies were all born in India and immigrated to the US.
And I might be wrong, but I think this is the largest ethnic group of CEOs of tech companies other than just white dudes in the US.
Okay.
So I’m curious why you think Indian immigrants are so successful in business and in tech in the US, especially in these very high positions.
And I’m most curious, just what can we learn from that?
What can we learn from their success?
KUNAL SHAH: It’s a great question.
I often wonder about it and I have had the good fortune to meet a fair bunch of these individuals, and had a chance to really explore with them what really went on.
So there are a few things that pop out.
And again, these are all conjectures, which I can’t prove in any way, but it’s a thought experiment to talk about these things.
KUNAL SHAH: First is in general, immigrants that get out of the country usually have a chip on their shoulder in a very different way. And the struggle that they have to go through to just get out and be successful, and that hunger that got them there. There was no privilege.
They came from very, very humble backgrounds and literally no money to start with.
So I think that this force is real.
You can say that for many immigrants in general as well. But appreciation for math in general, or logic which came to society in a big way, kind of gave. Let’s say for example, lots of engineering graduates come from only a few countries because society was bent towards early exposure to mathematics.
And I think that kind of helps create status that will get appreciated.
For example, being an engineer, a doctor… As a philosophy major, I was a write-off for society.
So the reason I’m the rare commodity over here, because you are not considered to be very bright unless you break into these very hard exams and do very, very hard things.
So the filtering criteria on its own is big.
But there’s another interesting framework altogether, which I have actually learned from this gentleman, Devdutt Patnaik. He applies Indian mythology and management principles together.
And it’s an interesting thing. There are three major Indian Gods.
One is Brahma, the God of creation, Shiva the God of destruction.
I’m generalizing here, but that’s the classification.
And the third is Vishnu, the God of sustenance.
And their avatars-the word “avatar” comes from Vishnu who keeps changing avatars.
So we have Rama, Krishna, all these Gods are avatars of his.
So what you notice is that if you take a two by two of people who are high on values and low on values, are high on obedience and low on obedience, you make an interesting two by two.
Now, Lord Krishna, who is one of the very popular avatars, which suits the entrepreneurial category, is high on values but very low on obedience. He was known to be the naughty God and he could actually create lots of things.
And there is Rama, who is known to be the one who follows principles and is obedient.
So they will follow ‘dharma’ and scale on that.
And then there are these notorious characters, there is Ravana who is low on values, low on obedience, and there is Duryodhana which he says that he is high on obedience but low on values.
So these are the people that you don’t want to be.
And what you notice is that a lot of CEOs have done well because they follow the ‘dharma’ of the founders quite well.
They have not diluted the dharma of the founders who have started these companies, and managed to sustain that.
And a lot of CEOs have this need to say, “Oh, I’m going to change the company forever and it’ll be my identity and I will change the logo and I’ll change the name and I will do all sorts of things.”
But maintaining ‘dharma’, where I will say that “These principles were given to me and I’m going to sustain this and make it even bigger,” comes from the humility of saying that there is something that was built with some pure form factor, and I think therefore that character stays on.
And therefore we have the characters of Brahma and Shiva, the founder and destroyer.
That’s the thing.
But sustenance is the harder one.
And therefore our avatars keep happening over time and different hurdles come and then different levels come.
But when you think about the archetype of, at least the Indian CEOs, I’ve seen that they are fabulous at moving between Krishna and Rama all the time.
They can play this consistently, and therefore they keep evolving and keep making these companies bigger and bigger.
And I think we’ll see a lot more of this in years to come, because now they have the role models of these individuals who have done well.
But the key principle is that if you ask the founders, they will love these CEOs if they’re around because they maintain the dharma.
For example, what Tim is doing is maintaining the dharma of Steve Jobs because if he had tried to change the dharma of Steve Jobs and the values of the company, it’s very hard to imagine it sustaining itself forever.
LENNY RACHITSKY: Wow, what an answer.
What I love about this is this combination of using a two by two and Indian mythology. It is like the microcosm of you, which is philosophy and tech.
And so I love that and it makes a lot of sense that that’s where your mind goes.
Something else this makes me think about is, I read this book a long time ago, Jim Collins ‘Good to Great’ or one of his early books about leadership, and he talks about level five leadership I think. Here level five leaders are ones where it’s not about them, it’s about the business and they can disappear in the future and things will work great.
Yes.
KUNAL SHAH: And I feel it is very hard if you believe that your identity needs to have its own position and legacy, and therefore a lot of time chasing status causes disruption because you will say that “Oh, this doesn’t have my signature in it.”
And therefore accepting the religion and trying to be the Pope of it or the father of it is better than trying to say, “Oh, I need to have my variant of religion.”
And that’s where the creative destruction starts happening.
LENNY RACHITSKY: Interesting.
Okay.
So you said that there’s this good balance between Krishna and Rama that happens.
Can you just summarize where they are in that two by two?
KUNAL SHAH: Rama is high on values and high on obedience, and Krishna is high on values and low on obedience, but they both are high on values, which means they’ll follow dharma, and they’ll change sides.
For example, let’s say Satya during the OpenAI crisis played Krishna and got things out, but he’ll switch back to being Rama and continue to keep scaling it up.
LENNY RACHITSKY: Amazing.
And just to close the loop on here, is your sense that they’re actually thinking about this and they’re religious, or is this just in the ether of growing up in India and this is just part of the culture?
KUNAL SHAH: It’s a great question.
I don’t think they consciously think about it, but I think if they ever heard this, they would agree with it, because that’s what they grew up with and value systems are much more long-term.
For example, I believe all bad behavior in humans comes from being short-term, and being long-term is a big choice to make.
And a lot of times a lot of people argue that we have a 95% arranged marriages and less than 1% divorce rate, comes from this whole long-term thinking that people are married through values versus attraction or lust and all of that stuff. They’re more long-term oriented and about building a family, building values.
KUNAL SHAH: Or low divorce rate is about “we’ll fix along the way” versus trying to say “I need to evolve” and “I need to move forward.”
So I think being long-term about that mindset, and that’s why some cultures last for thousands of years, because of this need for everybody to be more long-term versus short.
LENNY RACHITSKY: The US could use a lot of that these days.
You mentioned this interesting fact about how in India, most startups fail. You said, I think, the classic stat is 90%, and that the risk is a lot higher to start a company and then fail.
Can you just talk about what impact that has?
How do people try to avoid that?
Because that’d be amazing if you can reduce the risk of starting a company or is it just that it happens and people get super in debt?
KUNAL SHAH: I think long-term societies are naturally more risk-averse. And not all great CEOs can become great founders for the same reason.
In fact, I would say that it actually makes it very hard to be a founder if you’ve been a great CEO because you’ve turned into this sustainer versus destroyer or creator.
The nuance I’m talking about is when you are thinking about risk appetite, India is changing, but now for the first time we are seeing founders being respected and talked about and these unicorns being celebrated and our Prime Minister talks about startups quite openly.
We have a National Startup Day and so on and so forth.
So I think there is a thing that has changed this, but let’s understand the core human behavior.
India still has a large number of arranged marriages.
And if you are a founder and a failed founder, your chances of getting a person to marry is still hard to achieve.
So if this is all true, then the appetite to take risk will be curtailed.
Somebody gave me an interesting example that there’s a very large, let’s say CPG company in India, and let’s say you do a zero to one over there and the CEO changes in four or five years and your zero to one fails, but you were the best person, that’s why you were given the zero to one.
The next CEO is like, “So what have you done in the last five years?”
He’s like, “Nothing.
I just tried to launch it but failed.”
And you are neither given a promotion in the company, nor a new company will say, “Oh my God, I’m going to hire this talent.”
So the guy who stayed on this stable brand within the CPG company kept growing, but that has natural tailwinds.
All he has to do is nothing in that brand.
And then suddenly what you see is that he or she’s managed to do well and this guy has done a zero to one has not done well.
So we do not celebrate risk-takers as a country yet.
And I think we’ll change that.
I think it’s changing already, but we have a long way to go.
One of the beautiful things I often talk about is that when I was in Portugal once and I saw, I don’t know if you’ve ever been and seen this, but in the church normallyonly the Royalty are allowed to be buried or cremated. There is only one more category that is allowed- the explorers.
Vasco da Gama, all of these guys who explored the world and took risks and took the country forward, were given the same position as the royalty.
So when we give the highest status to risk-takers, the country appreciates it because ultimately we’re all looking for markers of social validation.
LENNY RACHITSKY: Super interesting.
I want to keep talking about India and how it’s different and especially what may surprise people about the market, both building there and then how to build products that are successful in India.
I saw in a different interview, you talk about how there’s this big difference between DAUs and ARPUs. In India it’s really easy to get DAUs, basically get lots of users, it’s really hard to make revenue per user, and that changes the way you build products broadly.
Could you just talk about why this is the case?
Why is it so much easier to get DAUs versus ARPUs?
KUNAL SHAH: I think ARPU is a function of per capita income of a country.
You cannot make 2,500 per year as an average for the whole country.
So what happens is many global companies love to come to India because we have the cheapest data, and very high smartphone penetration.
So if you look at a lot of global giants, they’ll have 500 million users from India, sometimes a billion users coming from Asia and they don’t have huge ARPUs, but they help you show the user growth which helps you in your public market and therefore improves your valuations.
For example, my guess is that, I don’t know if this data is public or not to talk about, my guess is that Meta would not have more than 4 per user per year monetization in India.
But if you look at the user growth in India, it is huge.
So a lot of times for global companies, India becomes a great MAU farm but very low on ARPU. Therefore a lot of Indian founders who tried to copy the Western market saying, “I’m going to have a few hundred million users” make a terrible mistake because they will need to then go abroad to find their ARPUs to balance the act.
LENNY RACHITSKY: You talk about how Netflix is a good example of that, where they launched in India, they got lots of users, but just couldn’t make a lot of money.
KUNAL SHAH: Yeah.
Because forusers to find relevant content, pay for content, when we have tons of free data, tons of free content all over the place, like short videos that are competing with time, so much going on over here, people actually paying for that by design is going to be less.
And I’m not saying that it’ll not change in 10, 20 years, but the expectation that many global companies come over here saying that, “I’m going to have these tens of millions of users who start paying me as soon as I come”, for Spotify, for Netflix, or Amazon Prime for that matter has not panned out.
LENNY RACHITSKY: So one of my takeaways here is just when you look at a startup as an investor especially, and you see “We’ve got 100 million users,” don’t treat that the same as say 100 million users in the US or other markets.
KUNAL SHAH: Absolutely.
One more thing is the value of time as a concept.
So one of the things you’ll notice, Lenny, is that no Indian has ever been paid an hourly salary in their entire life.
But let me ask you a question.
What was your first ever job and how were you paid?
LENNY RACHITSKY: My first ever job, I was tutoring women about computers and passing Microsoft certification tests.
And I was paid, I’m pretty sure it was hourly.
KUNAL SHAH: Now most likely you’ll remember what the hour rate income was.
And even though you’ve started making a lot more, you still have the concept of what the value of your one hour is.
KUNAL SHAH: But if you ask most Indians, and if you ever come to India and do this exercise when you meet them, ask them “What’s your income per day or income per hour?”
Nobody will be able to answer, no matter what their job is.
They could be staff, at the restaurant, to somebody who’s doing really basic work, to anybody in any fancy job, because we’ve never ever been paid an hourly salary.
So when you’re not paid an hourly salary, the concept of time is not the same.
And when the concept of time is not the same, paying for time is hard to do.
And therefore you’ll see a lot of Indians who make, let’s say, I don’t know, maybe 10 on a flight ticket because that’s what it is.
And if you discuss that with many of the Indians in the West also you’ll realize that this is a common joke that they will still fight for the $10 because the value of time is something that is harder to get used to unless from your childhood the unit of time was moved smaller and smaller.
LENNY RACHITSKY: That is really interesting.
And you’re saying that comes from just the fact that people never get paid hourly?
It’s always a salary, and so people don’t write down-
KUNAL SHAH: The concept of valuing time.
Many Indian languages do not have a word for “efficiency.”
LENNY RACHITSKY: Wow.
KUNAL SHAH: And that’s true for many Asian languages, the word for “efficiency” does not exist.
So then how do you value it if it’s not in the vocabulary?
LENNY RACHITSKY: Fascinating.
There’s something else along these lines of DAUs and ARPUs and efficiency that you talked about that I love, which is this idea that focus is a curse in Asian markets, that in the US there’s often this advice.
“Focus, build one thing that’s amazing that everyone loves, try to make that work, scale that, and then, only then, build a new product or build something, build a new big feature.”
And your advice is in India and Asian markets in general, it’s the opposite.
And I think it’s because you make so little per user.
Could you talk about that?
KUNAL SHAH: Yeah.
I think one is you make very little per user, so you have to do many things.
But also all low trust markets, and let me define low trust markets as where consumers are a lot more wary of trying new things because there are no institutions that protect you against bad behavior done by a company.
So for example, if I ever had a fall in a coffee shop in the US, I can think about suing them and making money off it.
In India, you’re only worried about “I’m going to pay for my thing.”
You don’t even think about suing the coffee shop or even hoping that you’ll get any money for that.
So what happens is in a low trust country, and all developing nations are low trust by design, because the institutions are not strong enough to really, really take care of many things.
What happens is there is concentration of trust.
So you will see that super apps, superstars, super companies all exist in low trust markets because the lack of trust creates concentration of trust, and therefore you will see one app can do 400 things.
For example, we have a company like Tata that can do salt to car to jewelry to anything and people will buy it because it’s a Tata brand, because it comes from a low trust society trusting the brand and not being, “Oh, I’m going to prefer this new brand.”
The joy of trying new things is not so high in low trust nations.
LENNY RACHITSKY: Wow, I’m learning a lot here.
I didn’t know all this.
So essentially the brand is even more, exponentially more important in Indian markets.
KUNAL SHAH: It’s funny, but the oldest brand in the world is a brand called Chyavanprash.
It’s a guy named Chavan who built a “prash” which is a sort of paste that you can have for good health, and it was built in India many, many, many, many centuries ago.
And lots of Indian businesses still have the name of the person behind it.
Even the US is like that.
JP Morgan, all these guys are not some fancy name.
They’re the names of people.
And therefore in India, trust still comes from a lot of names of people who had a lot of trust behind them and reputation behind them.
LENNY RACHITSKY: I want to zoom out a little bit before we go in a different direction.
What do you see as either the most pressing challenges in India right now for tech and/or the biggest opportunity for Indian startups?
And then just generally where do you think things will evolve in the next few years?
KUNAL SHAH: Sometimes I wonder if the challenges and the opportunities are exactly the same.
For example, one of the biggest challenges we have is, we have very low female participation of labor compared to many markets.
But I also believe it’s an opportunity because you can, let’s say, use AI and create many new types of business and opportunities because now work from home is not an alien concept anymore.
You can actually create very interesting businesses for that.
Number two is we are low on per capita income.
So what AI can do instead of taking our jobs away, is just make us brighter.
Satya talks about how expertise is now available in the air. So you can actually just ride on that and really make the world very equal in many many ways.
So that’s a massive opportunity and also a challenge, because I often make this joke that the largest employer of the world is ‘inefficiency’, and if you take that away too quickly, we’ll have a very, very jobless world.
So the thing is that it can be an opportunity for a country like India and also potentially a threat because if we don’t start becoming great at AI.
I was actually just telling somebody today that maybe all of our interviews should be about giving a task that they can only perform if they are very good at AI.
And no matter what the job is, you make that the minimum criteria that if they cannot use that, leverage that, they’ll become a liability in 5 years anyways.
And the last one is, we have a very young demographic, very well positioned with access to technology, access to smartphones and so on and so forth, a lot of hunger.
But our challenge is that it’s also the first generation that is truly learning what entrepreneurship is, what risk is, and we’ll make all sorts of mistakes to get there.
And I hope we don’t go into a shell after having these large scale failures that we have not seen before.
India is not used to layoffs.
Like the startup world is used to layoffs, but in India, if startups do layoffs, it becomes the national news and all sorts of discussions happen over here.
So we are not there yet.
KUNAL SHAH: So we are stuck between being somewhat of a collectivist or somewhat of an individualistic society.
We are somewhere.
India is a great remix of everything.
LENNY RACHITSKY: I love this line you just shared of “inefficiencies is the largest employer in the world”.
I totally get that.
Okay.
So let’s talk about CRED for a bit.
So you had, I think three startups before CRED?
Okay.
And then you’ve been building CRED for about six years now.
I’m curious just on this journey of CRED, what you’ve learned or changed your mind about, during this phase of your career versus previous phases.
KUNAL SHAH: I think CRED’s insight was actually quite simple.
We realized that unfortunately the value of time and per capita income is concentrated with 25 million families and therefore focusing on them is important.
And they are a lot more global in their approach versus the rest of India.
So you have to build for them very differently.
And I realized that the ability to focus on a customer set, which is not historically possible to do because every investor expected us to be the next China, and the only similarity of India and China was the population and nothing else was similar.
So I think having that conviction that, “I’m going to build only for these folks and this large enough market.”
Thankfully I had one success for somebody to bet.
So our series A was $25 million.
I would’ve not had that luxury if I had no success in the past because I had no product with any monetization to prove that I’m doing the right thing.
It turned out okay, but I think I could get a lot of people to take a risk behind my insight or my thesis because I focused on the right customer category and built on it.
But I think the few things I’ve learned differently is that companies that are very, very good at zero to one will not naturally become great at 10 to 100.
There are lots of different lessons to learn.
The founder has to evolve.
That’s the biggest thing that has to happen.
Most people at CRED are people who have not seen a bigger business than CRED, which comes with its benefits and costs.
So you have to gentrify the org every now and then to make people understand the value of many of these reliable things.
And I often tell people that entrepreneurs are uncertainty absorbers for everybody- for employees, for investors, for customers- and therefore they get rewarded for being those people who remove uncertainty from people’s lives.
But the kind of expectations keep changing at companies of scale.
For example, if you have, let’s say a seed stage investor, they are very used to very high uncertainty and they’re happy with some absorption.
But as you get a growth investor, and let’s say you have sovereigns on your cap table, the amount of stability you need to provide is significantly more, and therefore you need to evolve very, very differently.
So I think those are the few lessons that I’ve learned.
Talent, you start realizing that not everybody can scale into everything.
And you cannot expect that you can give up the 0 to 1 DNA just because you’re building 10 to 100.
So how do you kind of coexist with those things?
How do you react to big changes in the market and not become this slow company?
And every company goes through that.
I mean if you look at what Zuck went through in the last three or four years was that.
I often say that he had to play the Shiva, come and do a lot of destruction to become big again.
So I think that’s what founders can do, and it’s not easy to do.
One of the things I’ve learned is that profit pools of a country tell you a lot about what the country values.
And trying to copy somebody else’s profit pool to your country will not be a wise idea because the country’s values are demonstrated in what profit pools exist.
Let’s take an example.
In the thousand most profitable companies in India, the number of retailers would be probably two or three.
But if you look at the Western market, you’ll see a bunch of them because it’s a consumption market, plus a very high divorce rate which means you’re always peacocking again in the market, you’re trying to be fit and be cool and all of that.
India has a very low divorce rate, less than 1%, are arranged marriages.
Fashion spends, and because we have a lower female participation of labor, India is probably the only market where female fashion spends is less than men’s fashion spends.
Everywhere else, it’s probably five, 6x more for them.
So what happens is you start appreciating what the country values.
For example, I have noticed that many patriarchal societies have a very significant market cap in financial services versus consumption.
And these broad patterns, you start thinking about very, very differently.
LENNY RACHITSKY: So many lessons there.
I love this idea of a founder being an uncertainty absorber.
This other point you made about Zuck becoming the Shiva and destruction touches on something Brian Chesky and I chatted a bit about, how founders often start in control, very micromanaging, just driving the ship.
And then as the company grows, they delegate and empower and then things start to slow down and then they come back, play the Shiva and take control again.
Is there anything there that you’ve seen-
KUNAL SHAH: Yeah, but that’s the universe.
The universe goes through the exact same phases.
So if you study Indian mythology, you’ll see that there’s a Brahma, Vishnu, Mahesh cycles and every yugg As it’s called, goes through these three phases all the time.
LENNY RACHITSKY: Beautiful.
I see.
So this is just inevitable.
This is the circle of life.
Absolutely.
Amazing.
I love how this all just ties back to your philosophy background.
I love it.
It’s beautiful.
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Okay.
So, on CRED.
So here’s a funny thing that happened.
I asked people on Twitter what questions to ask you on this podcast, and one of the most common questions was “When do you think you’ll become profitable?”
Which is interesting because when I have other CEOs that are founding a company that is, and most companies aren’t profitable, nobody’s asking that question.
So I’m just curious, why is that such a common question that comes up?
KUNAL SHAH: It’s fascinating.
It’s fascinating.
As a country, most businesses were of trading, you buy something at low cost, sell at a higher price and you make profit.
Most of our businesses, most of our family businesses were trading.
But building a CapEx heavy distribution, monetizing it later on, focusing on high revenue growth rate versus trying to get profitability first, is not known to us.
So when they see these large numbers of losses, there’s a shock. “Why would somebody give you this kind of money?”
And by the way, my own dad wouldn’t respect me till I was building a profitable company.
So it’s not surprising that people in India have these comments, but it also comes from not understanding how businesses are built in the internet world, where VCs are giving you the capital to build distribution, unique product edge, brand, all of that stuff, and then monetize later on and monetize big and then have very large profit pools to go after.
But a lot of times this comes from not understanding this business, and I feel it’ll change because many internet companies are now getting very profitable and public listed.
So we’ll have a decade.
Let’s understand one thing.
In the US, maybe 27-30% of the US market cap is now tech companies.
In India tech companies would probably make less than 2- 3% of the market cap.
So we are mostly, and I’m not saying India has this fabulous history of building very, very profitable tech companies.
We are probably the first generation that will have to prove ourselves to be very large profitable companies.
But we are still figuring out what this means.
And the fact that this question, by the way, I can tell you one thing that, I have been asked this question by people on Twitter way more than any of my investors have ever asked me this question. This also creates an arbitrage for entrepreneurs who can actually build businesses and have the ability to raise capital and prove their business model with very high revenue growth rate and build large brands and so on and so forth.
But I find it fascinating as well.
Also, one thing we see fascinating in India is that there is an immense amount of trolling and doubt that will come in your comments no matter what you do.
So if you see any founder in India, they’ll post something about the thing, the comments will rarely have appreciation.
So it feels sad because, when you see global companies do stuff, Indians will lose their shit on Apple Vision Pro and all this stuff and Twitter will go gaga over it.
But I think when it comes to…and I believe envy is hyperlocal.
We do not envy Elon Musk for all the stuff he does because he’s so far away.
But we envy our own because they were just like us not many years ago.
And therefore envy is like wifi.
It’s like a hyperlocal service.
LENNY RACHITSKY: How do you stay positive and focused and not let that stuff bring you down?
And do you have advice for founders in India that are dealing with the same sort of feedback?
KUNAL SHAH: It’s funny the number of calls I’ve got from founders who start getting hate. I’m the go-to person to get these call because they’ve seen me get it for many more years.
And I tell people that we couldn’t have made it this far if we cared about criticism of everybody versus people who’ve done better than us.
If somebody who’s done anything better than me gives me any amount of criticism, I will absolutely flip and make all the changes and evolve.
And I seek feedback all the time from people.
But if I start taking feedback from everybody who does not understand the nuance and empathize with what I’m doing, I’m not saying that we should not take customer feedback, that’s very different.
But let’s say somebody commenting about your business, who does not understand the nuance of it, you can’t be reacting to everything.
And I often tell people that there’s a reason elements with lower valencies are called noble gases because they’re hardest to get reactions from.
LENNY RACHITSKY: That’s over my head, but I love it anyway.
It’s so interesting.
I love all these elements you’re pointing out of how different building in India is. I think people in the US have no idea about it.
And so I appreciate you getting into all these little elements.
Is there anything else around the Indian market that may surprise people before we go in a different direction about building a startup there?
KUNAL SHAH: For all the challenges, India remains the most promising market that one can be building for right now because everything is going our way.
We have all sorts of digital public infrastructure, government support, all these great people doing extraordinary things, apart from the Twitter noise.
And Twitter is designed for outrage getting likes.
So I wouldn’t read too much into it.
But I think all of us are doing well because we have an audience set, an evolved ecosystem that is fully supporting us and really taking it forward.
So I think I wouldn’t want to be anywhere else in building because of this extremely vibrant, crazy opportunity that one can learn from.
However, I often wish that I could get a one month internship with Brian and learn how to do things.
And I’ve never had the luxury.
I can only watch his podcast with you to learn a few things, but what if I got a chance to be there?
KUNAL SHAH: And I miss that part where I’ve never been really trained by these extraordinary product brains or even observed them make decisions.
So I recently posted one thing that the word ‘operation theater’ comes because operating used to be a public process and people used to pay money to watch surgeries and see all the bloody gory stuff and even before anesthesia was born.
And there’s so much joy in seeing somebody do their action.
And I wish there was a theater for Brian taking a product decision, Zuck taking a hard call on killing a product or seeing Tim rejecting all the ideas that they have before the GTM of a product.
I think we could benefit so much from that.
And unfortunately it remains in very small circles.
And like I said, the reason I said you do a fabulous job of removing some of the information asymmetry and kind of making it more democratic.
But there is so much more that we all could learn.
And I feel extremely envious of many people who have the opportunity to work with the best of the best because, many of us from India never had the luxury. We had to figure out everything on our own.
LENNY RACHITSKY: Wow.
How cool would that be just to have a camera in some of those meetings just as a learning experience, because very few people are in those rooms and there’s so much to learn.
I think though people will find, “Holy shit, one, this is how decisions are made, what is going on?”
And two is , “I don’t want to work for this person.
This sounds very difficult and stressful.”
Those are probably some takeaways that will emerge.
Kind of along these lines, something that comes up a lot in your talks and work is curiosity.
You have a show called CRED curious.
You often talk about the power of curiosity.
I’m just curious, why is curiosity so important to you and why is it important for other people to always stay curious and what value is there?
KUNAL SHAH: I think a curious person is somebody who is constantly demonstrating that they are not proud of their expertise, and they will demonstrate extraordinary amounts of excitement when they face a problem which they have no clue how to solve.
And therefore a lot of people stop growing because they want to constantly demonstrate their expertise versus demonstrating their curiosity.
Because, curiosity should come from security because imagine- I’m the founder, CEO of this company and this group of 60 people on WhatsApp, somebody posts something and asks a dumb question, “What does this word mean?”
You need to have the security to feel okay with it, but a lot of people out off insecurity try to demonstrate expertise and do it or Google to not ask these people.
And I think that slows down the compounding growth and I think it keeps you from being very good at adapting.
So it’s funny, I was recently. GPT is my favorite thing to keep asking random questions because now I don’t need to really worry about Google having those questions answered around because I can ask the GPT.
So I recently asked the question: which species or animals have survived for more than 100 million years without changing too much and what is common in all of them?
So GPT came up with an interesting answer which says that sharks, horseshoe crabs, crocodiles, and all of these animals have survived to do this thing.
So three distinct traits were, one, ability to reduce metabolism at will.
It’s fascinating.
I can bring down my metabolism by 1:20 or a crazy, crazy scale that they can bring the metabolism down.
By the way, ancient yogis have demonstrated this as well.
It comes from the same yogic practice.
The second thing is about, and if you think about companies, the context is the same.
If COVID came, you could slow down your metabolism and survive, right?
Or you burned your way out and disappeared.
The second thing that was interesting was the very high conversion rate on every attempt to secure food.
They don’t go around chasing randomly and doing things.
They have a very high conversion rate, which means high judgment and the deadliest bite.
So they’ll not chase many options, but if they chase something, they will have the biggest bite and they’ll convert it.
And the third thing that was more interesting was that they have survived all sorts of crazy environmental changes, just adapting. And adaptation comes from curiosity.
And you could see those people.
In COVID, there were two sets of people, who were completely gone into a shell and there were those who were curious.
“Okay, so what do I do with this?”
“What happens now?”
“Do I need to change something?”
“Do I need to tweak something?”
So the ability to change very quickly.
I often feel that curiosity is that demonstration of the ability to adapt and learn, and you only create more information asymmetry.
To me, wealth is nothing but information asymmetry.
All the best companies in the world have unfair information asymmetry.
And that comes from curiosity. Because you’re constantly collecting dots, connecting dots, collecting dots, connecting dots, and end up creating this unique edge for yourself and information asymmetry for yourself.
And if you assume that “I have collected enough,” no human life is going to be enough to connect and connect all the dots.
We’ll never be able to get..
And sometimes I envy the stuff that you do because you are efficiently connecting and collecting dots by having the luxury of all these people to talk to, and you are making more dots getting connected.
So your information asymmetry is growing.
LENNY RACHITSKY: Wait until you IPO, and then someday maybe leave CRED and then you could start this podcast with everyone like this and connect all the dots.
And I think that’s a reference to Danny Meyer who’s the founder of all these fancy restaurants and big on hospitality and has this phrase “Always be collecting dots”, I think ABCD, I’ll link to that.
Yeah.
Okay.
Wait, this is really interesting, this list of what are the common traits of the most long-lasting animals?
They can lower their metabolism at will, they have a high conversion rate to get food, and they’ve survived many types of environments.
And I think there’s a lot you can transform as you’ve done, to startups and leaders.
This could be its own…
if you haven’t written about this, this would be a cool blog post.
I’m curious who you look up to in business, either in India and outside India.
LENNY RACHITSKY: Who comes to mind where you’re like, I really inspired, I’m inspired by these folks?
KUNAL SHAH: I often tell people that I hate the word ‘favorite’ because it tells me to become limited in my mind.
So I stay away from ‘favorite’, but I learn all the time from everybody.
And there are so many people to learn from across the world and in history, in the recent past and every time you’ll discover fascinating, extraordinary things about them.
So I don’t think I have a person.
I am this person who thinks about about: ”How did they solve this hard problem.”
So one of the things that we started doing recently and not very ritualistic about it so far is, I ask myself and my key reportees every month, we go around the table and ask ourselves, ”What are the hardest problems we solved last month?”
And it’s very hard to come up with an answer.
And if you do this to the product leaders, just go around and ask, “What are the hard problems you solved last month?”
You’ll realize that we all stay very busy and displacement is hard.
But if you notice extraordinarily successful people, they’ll have a lot more content to talk about every month, every quarter because they’re obsessed with making that big displacement and it does not come by being busy.
And that’s another thing that you cannot chase the big thing.
You don’t see a crocodile being busy.
You see a crocodile just waiting patiently at the watering hole for that best meal and have the deadliest bite for that.
So the beautiful definition of predators I read was “one who burns the least amount of calories to earn the most amount of calories.”
So how do you become that?
And I think when I meet people who are extraordinary at that, and it comes in all shapes and forms, I learn something from them.
LENNY RACHITSKY: So in these meetings you have, are you judging people’s success based on how many hard problems they solve?
Now that they’ve heard this, they’re going to be like, I need more.
KUNAL SHAH: Because if you’re a senior, what is the role of a senior person?
You have to be the chief problem solver.
LENNY RACHITSKY: I love that.
I often think of leaders as professional firefighters who have just endless fires to put out.
Kind of along the lines of people and where you learn from, are there any sources of content?
This is actually an audience question on Twitter.
Anurag Verma asks this, “What are your favorite sources of content to learn from in terms of what’s happening in the world and what to pay attention to?”
KUNAL SHAH: I wish I could think of an answer.
My method of collecting information is mostly about, I come up with conjectures in my head and then I go all over the place to find out if there is proof if what I’m saying is true or not.
For example, I recently came up with a conjecture that everybody who has been successful in the history of business of vices, historically has done a lot of philanthropy to create a good image for themselves, and therefore is being treated as a respected citizen versus being treated as a person who did vices to make wealth.
And then I asked GPT to come up with 50 people who did that and what were their vices?
How did they change the reputation by doing lots of philanthropy and all of that stuff?
Then a thing happens.
And then I research in all sorts of directions. And I have no boundaries if I go to chemistry or physics or human behavior to discover some universal principles.
So my method of learning is to constantly come up with conjectures from the dots that you have connected and then absolutely work hard to find proof of it and then use that to connect to the next dot.
So I often tell people that every book you read makes your brain poorer to read the next book.
That’s the purpose of books, but that’s true for every single thing we learn.
It makes our brain poorerfor the next thing that we are supposed to learn.
LENNY RACHITSKY: Is there a recent example of that where you got super sucked into some topic?
KUNAL SHAH: Well, it’s my daily life.
I get sucked into topics every now and then.
For example, I’ve been thinking about second order effects of AI and what happens to countries and jobs and how to expect some of these things to change, not change, rate of change, rate of skill change.
I got recently obsessed with what happens to lab grown diamonds if they become big?
Does it kill diamonds?
Does it make diamonds bigger?
And then I looked at parallels.
So, the pearl industry was very big before culture.
Cultured pearls came and the high status of pearls disappeared because everybody could have pearls.
But not too long ago, pearls were a very royal thing . Every prince and princess used to have pearls around them, but as soon as it was easy to manufacture in a lab, it lost its value.
So then I think should I be shorting or going long on diamonds thinking about what happens?
But there’ll be a temporary period of making a lot of money on lab grown diamonds, which will kill… it’ll become parasitic on the status of diamonds and destroy all of the profit pools.
LENNY RACHITSKY: You heard it here first, time to buy some diamond futures.
I feel like there’s no one in the world ChatGPT impacted more than you considering how much you want to spend digging into random topics.
KUNAL SHAH: I often wonder, Lenny, that if you took the most serious people and made their GPT searches public, a lot of people will learn because the problem of GPT is now it’ll make the people with great questions do well, versus people who are looking for basic answers.
So I think the world is going to be unfair to people who will ask great questions.
LENNY RACHITSKY: Interesting.
Okay.
Well, I got to ask you, is there any advice you have for asking great questions that has helped you in your work and career and life?
KUNAL SHAH: Whenever somebody has many choices and they make the right choice in whatever domain they have.
For example, let’s say you could hire anybody but you hired great people, or let’s say you could have married anybody, but you married a great person and so on and so forth. Everybody has many choices to make.
How do they make choices for that domain of expertise?
And I think that is the most, and many times they’re not going to be able to explain how they make great choices.
They’ll have to really go into that because they don’t really have their mental models figured out.
They cannot articulate, they cannot coach, they cannot explain.
KUNAL SHAH: But if you can figure out how they make great decisions in general, in whatever domain of work they’re doing, you’ll find many interesting insights coming over there.
The other good question to ask is about second order thinking.
What do they think will happen to the world and why did they come to that conclusion?
And you see that full chain of thoughts is very powerful.
For example, second order thinking is known to be the most powerful trait to predict the success of somebody.
But I often wonder what happened in the childhood of people who became great at second order thinking.
And that question is not fully discovered or discussed yet.
And I’ve found some loose examples such as if you played strategy games or only physical games as a strong correlation to building
So rigor came from physical games, but second order thinking came from playing strategy games as a kid.
And if you had both, you could do really well in general because you have discipline and second order thinking together.
Then did you ever have an exercise of looking at history?
For example, one of the things I recommend for parents to do with their kids, I call it the ‘Whyfi school’, is ask them one ‘why’ question every meal and let them come back with answers the next day.
For example, “Why do humans wear jewelry” and ”Why is something a certain way?”
And let them go into the full depth of history and find out.
Why is it so expensive to advertise in the Super Bowl?
And so on and so forth.
You just take one question.
And if you train them on why, they evolve at a very different rate because how, what are the questions which do not evolve at a much higher rate, because ‘why’ is the deep question and it breaks a lot of things in your head.
Or another question about origin stories that “How did elevators come into being?” and “what made your phones happen?”
“What made microphones happen and why is it called microphone and why is it called a phone?”
And if you just want to go into this depth, you’ll see people build second order thinking automatically because either you go into history and see second order thinking coming along with that, or you play games that train your brain for second order thinking with the spectrum.
But that’s a broad range of things that I think people should be asking.
LENNY RACHITSKY: I’m looking forward to Kunal’s children’s raising book, like a book to help you raise kids.
This could be your future.
KUNAL SHAH: I don’t have kids so I can run experiments on everybody else’s kids.
So it’s a great thing to do.
LENNY RACHITSKY: I feel like with these questions, I think the rule has to be you can’t just ask ChatGPT for the answer if the block it-
KUNAL SHAH: Actually it’s not bad.
I think you should encourage it because we have to assume that we are going to be all co-pilots of AI now.
What you have to do is derive the second order insight that, “Okay, this is true.
Where is the similarity of this in somewhere else?”
Give me an example of this found somewhere else, and so on and so forth.
LENNY RACHITSKY: Amazing.
Okay.
I have just a couple more questions before we get to our very exciting lightning round.
First, let’s visit the contrarian corner.
I’m curious. What’s something that you believe that very few other people would agree with you on and why do you hold that belief?
KUNAL SHAH: Our understanding of wealth and what wealth is, is flawed.
To me, wealth is nothing but storage of energy.
And therefore the reason wealth is not zero sum is because energy is, and we are just finding ways to convert energy to our advantage.
We are the only species that has managed to convert all forms of energy to our advantage.
Kinetic energy and fuel and sound and solar.
No other species has done this.
And therefore, since the industrial revolution, our wealth has gone like this and continues to be like that.
AI and nuclear fission and all this stuff will kind of take us right there.
So I have a strong view that we will never, never have equality of wealth.
In fact, chasing that is actually a bad idea.
But if you let people do well and chase wealth, they have enough wealth for everybody else and we could help a lot of people out.
And I think it’s complicated because we can have all these democratic arguments that wealth is concentrated and all that, but that’s the physics of wealth.
It’ll always be concentrated.
You change these mediums, companies, countries.
To me, wealth is nothing but an entropic complexity that’ll keep changing its form and shape.
You can keep fighting it or accept its physics and reap the benefit of that physics.
LENNY RACHITSKY: I think Elon had this interesting point that wealth is just a database where everyone’s wealth I guess is just a row in the database and here’s how much everyone has and you’re just transferring numbers around and that’s the whole economy.
KUNAL SHAH: No, but the nuance that is important is that you can actually increase the database size infinitely.
LENNY RACHITSKY: That’s true.
KUNAL SHAH: And therefore his vision of the sun’s energy, if you really convert all the energy to our advantage, the amount of wealth we will create for humans is disproportionate.
And all the species that are managed to collaborate and cooperate to create wealth, for example, let’s define wealth as biomass.
So let’s say ants and bacteria and humans are the only few things that have the largest biomass on this planet because we figured out how to make energy work to our advantage.
LENNY RACHITSKY: Wow.
I love all the directions we’ve gone.
Probably the last question, is there a story of failure in your career that would be interesting to share?
Something that taught you an important lesson?
KUNAL SHAH: It’s a series of failures.
I think there is no escape for anybody who’s done anything in life, not failed a lot, like every day, every thing.
But I would say that many initiatives, many products, companies that I’ve built have absolutely failed, hirings that have failed, trust broken, betrayals.
So I think there is no end to it.
But I think entrepreneurs have this weird ability to forget about failures and almost turn that into a lesson that you hold, and you forget the story.
For example, COVID has literally no memory for me.
I just don’t remember what was COVID.
It’s just a blank in my head right now.
KUNAL SHAH: And I think that humans are great at forgetting the memory of failure, but remember the lesson from failure.
But I think I’m constantly learning, and I often believe that life is too short to make all our mistakes ourselves.
So we should be learning from other people’s failures as well.
And a lot of times we don’t do that because we believe that we are special, nothing like that will happen to us, but as humans, we should be learning.
I would say that my life started from a failure.
My family went through a severe financial crisis.
I had to start working from age 15 and I feel till date, I’m just trying to escape that failure that happened in the family.
So I think many of us are just fighting that initial large failure that we’ve had and don’t want to be anywhere near that.
And although we are significantly far away from that, the feeling is exactly that.
LENNY RACHITSKY: Circles back to one of our first few questions about the chips on shoulders driving a lot of motivation.
There’s this phrase, ”Chips on shoulders drive chips in pockets.”
KUNAL SHAH: That’s interesting.
LENNY RACHITSKY: Yeah.
Is there anything more you want to share about that early challenge you ran into or is that something you’ve shared often?
KUNAL SHAH: No, I mean I’ve shared that enough, but I used to not talk about it before because I used to think that I would get some sympathy for that.
And only in the recent past did I speak about it because I want people to realize that I was not some gifted kid who had some rich parents who made me extraordinarily bright and put me in great schools and colleges and I made my way through that.
I used to not talk about it earlier because there’s a lot of tendency to give sympathy to those people who say, “Oh, this guy had struggled.”
And I don’t want to be given any credit for playing that poverty card or this card or struggling for food card.
That’s not an excuse.
There are so many people in the world who’ve done extraordinarily well because they had the gift of struggle.
And I often tell people that this is the biggest curse of successful parents, that that’s the only gift they’ll not be able to give to their kids, the gift of struggle that they had.
LENNY RACHITSKY: Wow.
I think about that a lot.
We have a kid, he’s eight months now, and so I’m trying to figure out the balance of struggle versus making life easy and great, a new challenge for me to figure out.
Before we get to a very exciting lightning round, is there anything else, Kunal, you wanted to share or leave listeners with?
Anything?
Any last nuggets of thoughts?
KUNAL SHAH: Well, I would love for the listeners from different fields of product to share what you’re learning without being fearful of the judgment of your peers, because there are many, many people who are learning only because you share your evolution and your thoughts.
And I believe that a lot more could be contributing.
And a lot of your listeners are really bright people.
If they all shared, many people from many places in the world would learn and achieve some amount of success.
Thanks to your sharing.
Amazing.
LENNY RACHITSKY: With that, we’ve reached our very exciting lightning round.
Are you ready?
KUNAL SHAH: All set.
LENNY RACHITSKY: Let’s do it.
First question, what are two or three books that you’ve recommended most to other people?
KUNAL SHAH: It keeps changing a lot, but my books are usually around understanding human behavior.
And I keep changing based on the person, but I think it’s the biggest subject.
All our customers, all our investors, all our employees, all our relationships are all humans.
And the subject that we are weakest on is human behavior.
And how do we live this life?
We are playing life on extremely hard mode if you don’t learn human behavior.
So I would say that’s one thing.
The second thing, evolutionary biology, teaches a lot about how species evolve and how they make decisions and what are the core motivations that drive everybody.
So that’s another one I would recommend.
And I don’t want to make a recommendation because I can barely finish a book to be honest.
So I believe in drifting and getting deeper into topics.
So understanding the topics versus trying to say, give me these three books and I’m going to be good.
And the last one I would say, is that anything that can make you learn something about their journey versus their success.
So sometimes autobiographies are too celebratory in some ways, but if you can just kind of understand how… any book that can teach you about how people recover from a setback in great detail is a great book to learn from.
LENNY RACHITSKY: An audience member on Twitter actually asked a similar question along these lines, if there’s one book that you could read over and over and over, what would that be?
Is there one?
KUNAL SHAH: I absolutely don’t believe in reading over and over because I believe that we are evolving.
You might discover the same stuff coming from different books and you would say, “Oh, I can categorize this in my brain again and again.”
But I think we tend to become believers, and it becomes too religious if you repeat.
LENNY RACHITSKY: Yeah.
Next question, do you have a favorite recent movie or TV show that you’ve really enjoyed?
KUNAL SHAH: I love Oppenheimer because of the struggles and Nolan’s craft of making the movies, but nothing in the recent past that I feel is right up there.
LENNY RACHITSKY: Do you have a favorite interview question that you like to ask candidates that you’re interviewing?
KUNAL SHAH: I like to ask a hypothetical second order thinking question.
For example, if everybody who has taken a COVID vaccine dies tonight, what happens in 12 months from now?
Can you explain the world- from what happens to money, what happens to law?
What happens to countries?
What happens to the military?
What happens to the stock market?
What happens to the order of things?
And I would say less than 10% of really smart people can have really good answers.
So it tells you how good they are at second order thinking.
But the questions can keep changing.
For example, if you said that, what if arranged marriages were banned in India, and you got capital punishment for doing arranged marriages?
What happens to the country?
How do we change from there?
KUNAL SHAH: Like some absurd scenarios, but then what happens after that?
LENNY RACHITSKY: Not to give away your secret sauce, but what do you look for in an answer that gives you a sense there?
KUNAL SHAH: The range of things that they could go into and think about- if this happens, B happens and then C happens.
The leaps they could make.
LENNY RACHITSKY: And just so people understand, when you’re talking about second order thinking, what’s the simplest way to describe that concept?
KUNAL SHAH: I think the simplest way to think about this is being able to correctly judge the butterfly effect of an event as close as possible.
For example, a lot of people in the stock market use that to say how stocks will go up and down.
There’s something that has happened in the market.
“Oh, there is a war now with Russia, then what happens to the market?”
Can you be good at predicting that?
But in everything in life, if this happens, a lot of people hate this because it’s very taxing to the brain.
The brain absolutely hates second order thinking unless you’ve trained your brain with second order thinking all the time that it looks forward to it.
So you convert this into a hate versus a reward cycle, and that comes with probably doing it early on in your life.
Later on, people hate doing second order thinking.
LENNY RACHITSKY: It is.
Yes.
That sounds like a lot of work for the brain.
Okay.
Just a few more questions.
Do you have a favorite product that you’ve recently discovered and that you really love?
KUNAL SHAH: I’m looking forward to my Vision Pro coming soon.
LENNY RACHITSKY: It’s a future favorite product.
We have actually Boz from Meta coming on as the next guest in my recording.
I’m not sure when they come out in sequence, but we’re going to talk about his thoughts.
KUNAL SHAH: The most fascinating thing that I saw was Zuck talking about the utility of Meta being better than Vision Pro and their product.
And that’s exactly going to work well for Apple because when you try to make the product more utilitarian, it loses status.
And if you study animals, you realize that the one which gets the highest mating success is the one which can demonstrate the ability to waste resources and not be very efficient with resources.
And therefore people who are known to buy a product that is wasteful will actually own higher status.
And I think Zuck made it actually quite easy for Apple to demonstrate their superior positioning by saying that, “Oh, we are not as efficient, we are not as cheap.
We are not for everybody.”
LENNY RACHITSKY: Wow.
Just continue to blow minds even on our lightning round.
Do you have a favorite life motto that you often come back to share with friends and family, find useful in work or in life?
KUNAL SHAH: It’s not a favorite motto, but I think we truly are transient and we are very lucky to have this life that we have and we have to make the most out of it.
And all these struggles will mean nothing.
I often tell people that you should wish for your life to be so great that you have collected the highest amount of content when you are old, and you have no end to the stories that you can talk about.
LENNY RACHITSKY: That reminds me of a book I once read that really had an impact on me where somebody was trying to make a movie of their life and the producer was like, “There’s nothing.
There’s no good movie here.
You have not done enough interesting things.”
KUNAL SHAH: I love it.
LENNY RACHITSKY: And so he turned his lens of what to do in life, by thinking what would make a great story.
And so he just started to do a a great story, something where you overcome challenges and achieve something you wanted.
And so that became his life motto.
“I’m going to try hard things and overcome them.
And that’s going to be my life.”
KUNAL SHAH: I love it.
I love it.
I love it.
LENNY RACHITSKY: I’ll link to that book in the show notes.
Final question, do you have this series on Twitter that you call Monday Motivations?
I’m curious what’s motivating you these days?
KUNAL SHAH: I find the internet is filled with all these people trying to give fake motivation and make money off that stuff.
And it’s almost like a drug for people to feel, ”Oh my God, there’s motivation, I’m going to do well.”
I just wanted to remind people that all success comes from an extraordinary amount of pain and struggle and hard work, and there is no shortcut to anything material coming in life.
And so the Monday motivation post comes as the anti-motivation post because the world is filled with… I believe that the biggest profit making scheme that I’ve seen in recent times is to tell people to love themselves and they’ll pay you money for saying that.
And I think the best way to love yourself is to keep evolving.
So my motivation comes from evolution, connecting dots, solving harder problems than I’ve solved in the past.
And I think life is ultimately a game where you want to feel that your levels have changed and your skills have changed constantly.
LENNY RACHITSKY: Kunal, you are wonderful.
Thank you so much for being here.
Two final questions.
Where can folks find you online if they want to reach out and follow up on some of this stuff?
And how can listeners be useful to you?
KUNAL SHAH: You can find me on social media.
Look for Kunal Shah, you’ll find me everywhere.
I usually have a different personality on each social media.
And in terms of being helpful, keep tagging me on interesting things that you discover that gave you that moment of, ”Oh my God, I did not know this.”
I would love that.
LENNY RACHITSKY: Amazing.
Kunal, again, thank you so much for being here.
KUNAL SHAH: Thank you so much for having me.
LENNY RACHITSKY: 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 lennyspodcast.com.
See you in the next episode.
Glossary
| English | 中文 |
|---|---|
| ARPU (Average Revenue Per User) | ARPU(每用户平均收入) |
| Boz | Boz(Meta 高管 Boz 即 Andrew Bosworth,保留原文) |
| Brahma | Brahma(印度教创造之神,保留原文) |
| Brian Chesky | Brian Chesky(Airbnb 联合创始人兼 CEO,保留原文) |
| CAC (Customer Acquisition Cost) | CAC(获客成本) |
| cap table | 股权表 |
| Chyavanprash | Chyavanprash(印度古老健康食品品牌,保留原文) |
| CPG (Consumer Packaged Goods) | CPG(快消品) |
| CRED curious | CRED curious(CRED 旗下好奇心主题节目,保留原文) |
| Danny Meyer | Danny Meyer(美国餐饮企业家、待客之道倡导者,保留原文) |
| DAU (Daily Active Users) | DAU(日活跃用户) |
| Delta 4 | Delta 4(效率差值框架,保留原文) |
| Devdutt Patnaik | Devdutt Patnaik(印度神话与管理学研究者,保留原文) |
| dharma | dharma(法,印度哲学核心概念,保留原文) |
| Dovetail | Dovetail(客户洞察平台,保留原文) |
| Elon Musk | Elon Musk(特斯拉/SpaceX CEO,保留原文) |
| Freecharge | Freecharge(公司名,保留原文) |
| IIT (Indian Institutes of Technology) | IIT(印度理工学院) |
| Insight Out | Insight Out(Dovetail 举办的行业大会名称,保留原文) |
| Jim Collins | Jim Collins(管理学家、《从优秀到卓越》作者,保留原文) |
| JP Morgan | JP Morgan(美国金融机构,保留原文) |
| Mahesh | Mahesh(即 Shiva 的另一称谓,印度教毁灭之神,保留原文) |
| MAU (Monthly Active Users) | MAU(月活跃用户) |
| Monday Motivations | Monday Motivations(Kunal Shah 在 Twitter 上的系列帖,保留原文) |
| Nolan | Nolan(电影导演,保留原文) |
| Oppenheimer | 《奥本海默》(电影名) |
| Satya | Satya(指 Satya Nadella,微软 CEO,保留原文) |
| second-order thinking | 二阶思维 |
| seed stage | 种子轮 |
| Sequoia | Sequoia(红杉资本) |
| Series A | A 轮 |
| Shiva | Shiva(印度教毁灭与重生之神,保留原文) |
| sovereigns | 主权基金 |
| Tata | Tata(印度最大综合性企业集团,保留原文) |
| Tim | Tim(指 Tim Cook,苹果 CEO,保留原文) |
| UBP (Unique Brag-worthy Proposition) | UBP(独特炫耀命题) |
| Vasco da Gama | 达伽马(葡萄牙探险家) |
| Vishnu | Vishnu(印度教维护之神,保留原文) |
| Vision Pro | Vision Pro(Apple 空间计算设备,保留原文) |
| yugg | yugg(印度神话中的时代周期,即 yuga,保留原文) |
| Zuck | Zuck(指 Mark Zuckerberg,Meta CEO,保留原文) |
Reformatted by reformat_english.py
Kunal Shah 论在印度的制胜之道、二阶思维、创业哲学及更多话题
文字记录
LENNY RACHITSKY (00:00:00): Microsoft、Adobe、Alphabet、IBM、Palo Alto Networks,甚至星巴克,这些公司的 CEO 全都出生在印度,后来移民到了美国。
KUNAL SHAH (00:00:08): 很多 CEO 做得很好,是因为他们很好地遵循了创始人的”dharma”(信条)。
KUNAL SHAH (00:00:13): “这些是交给我的原则,我要守住它们,并把它做得更大。”
LENNY RACHITSKY (00:00:16): 我想继续聊聊印度,聊聊它有什么不同,以及如何在印度打造成功的产品。
KUNAL SHAH (00:00:21): 没有一个印度人在他们一生中领过时薪。
KUNAL SHAH (00:00:24): 时间的概念是不一样的。
LENNY RACHITSKY (00:00:27): 你认为印度创业公司最大的机会是什么?
KUNAL SHAH (00:00:30): 印度正在变化,因为现在我们第一次看到创始人受到尊重,独角兽公司被人庆祝。
KUNAL SHAH (00:00:36): 我们有了一个全国创业日(National Startup Day),而我们这一代人可能是第一个需要证明自己能成为规模巨大、盈利丰厚的公司的群体。
KUNAL SHAH (00:00:42): 我不想在别的地方创业。
LENNY RACHITSKY (00:00:48): 今天的嘉宾是 Kunal Shah。
LENNY RACHITSKY (00:00:51): Kunal 是印度乃至全球最知名、最受尊敬的创业者和产品领袖之一。
LENNY RACHITSKY (00:00:58): 他在 Twitter 和 LinkedIn 上分享无尽的智慧,拥有超过 100 万粉丝。
LENNY RACHITSKY (00:01:03): 他是 CRED 的 CEO 兼创始人,CRED 是一家总部位于印度的 FinTech 创业公司,最新估值超过 60 亿美元,几年前就处理了印度全部信用卡账单支付的 20% 以上。
LENNY RACHITSKY (00:01:16): 在创办 CRED 之前,他还创立了另外三家创业公司,其中包括 Freecharge,后来以超过 4 亿美元的价格卖给了 Snapdeal。
LENNY RACHITSKY (00:01:23): Kunal 是一个深度思考者,无论在产品上还是在人生上。
LENNY RACHITSKY (00:01:27): 他的背景实际上是哲学,这一点在你听他分享建议时会非常明显地感受到。
在印度工作与创业的独特之处
LENNY RACHITSKY (00:01:34): 在我们的对话中,我们深入探讨了在印度工作和创业与美国市场及其他市场有什么不同,包括为什么信任如此关键,为什么印度有那么多人在风险面前更加保守。
LENNY RACHITSKY (00:01:46): 我们聊了印度市场最大的挑战和机会,为什么有这么多成功的印度移民在科技公司担任 CEO 角色,以及我们可以从中学到什么。
LENNY RACHITSKY (00:01:56): 还有,为什么印度的公司能快速增长的 DAUs 却无法增长 ARPUs,这对在印度做产品意味着什么。
LENNY RACHITSKY (00:02:03): 我们还聊了如何保持好奇心和开放心态,以及二阶思维的力量。
LENNY RACHITSKY (00:02:07): 还有失败的故事、大量反直觉的观点,以及更多内容。
LENNY RACHITSKY (00:02:13): 如果你喜欢这个播客,别忘了在你喜欢的播客应用或 YouTube 上订阅和关注。
LENNY RACHITSKY (00:02:18): 这是避免错过未来节目的最佳方式,也对播客帮助极大。
LENNY RACHITSKY (00:02:23): 特别感谢 Cyan——我的执行制片人——帮我联系到 Kunal。
LENNY RACHITSKY (00:02:27): 接下来,短暂赞助商广告之后,为你带来 Kunal Shah。
赞助商:WorkOS
LENNY RACHITSKY (00:02:33): 本期节目由 WorkOS 赞助播出。
LENNY RACHITSKY (00:02:36): 如果你在做一个 SaaS 应用,迟早你的客户会开始要求企业级功能,比如 SAML 认证和 SCIM provisioning(用户供给)。
LENNY RACHITSKY (00:02:45): 这就是 WorkOS 的用武之地,它能让你快速、无痛地为应用添加企业级功能。
LENNY RACHITSKY (00:02:51): 它们的 API 易于理解,所以你能快速上线,回去继续构建其他功能。数百家公司已经在使用 WorkOS,其中包括你可能知道的一些公司,比如 Vercel、Webflow 和 Loom。
LENNY RACHITSKY (00:03:03): WorkOS 最近还推出了 AuthKit,一个完整的认证和用户管理服务。
LENNY RACHITSKY (00:03:09): 它本质上是 Auth0 的现代替代方案,但定价更优,API 更灵活。
LENNY RACHITSKY (00:03:15): AuthKit 的设计开箱即用就非常出色,你也可以完全自定义以匹配你的应用品牌。
LENNY RACHITSKY (00:03:21): 从第一个用户一直到你最大的企业客户,全流程体验都很轻松。
LENNY RACHITSKY (00:03:26): 最棒的是,AuthKit 对任何开发者免费,最多支持 100 万用户。
LENNY RACHITSKY (00:03:31): 去 workos.com/lenny 了解更多。
LENNY RACHITSKY (00:03:35): 就是 workos.com/lenny。
赞助商:Orb
LENNY RACHITSKY (00:03:39): 本期节目由 Orb 赞助播出。
LENNY RACHITSKY (00:03:42): 作为一家企业,你关心收入;但作为产品团队,你最不想做的就是因为要重新搭建计费系统而推迟产品发布或价格调整。
LENNY RACHITSKY (00:03:52): Orb 是一个灵活的基于使用量的计费引擎,让你能轻松调整定价。
LENNY RACHITSKY (00:03:57): Vercel 和 Replit 等公司中增长最快的产品团队信赖 Orb 来支撑他们的定价调整和新品发布。
LENNY RACHITSKY (00:04:04): 用 Orb 更快地发布产品,不再为计费操心,轻松自如地调整定价。
LENNY RACHITSKY (00:04:11): 去 withorb.com/lenny 了解更多。
LENNY RACHITSKY (00:04:15): 使用优惠码 Lenny 可以跳过排队直接获得 demo 或沙盒体验,网址是 withorb.com/lenny。
Delta 4 框架
LENNY RACHITSKY (00:04:25): Kunal,非常感谢你来做客,欢迎来到播客。
KUNAL SHAH (00:04:29): Lenny,非常感谢邀请我,我是你所做一切的超级粉丝。
KUNAL SHAH (00:04:35): 就像我之前说的,印度是你所做的事情的巨大受益者。
KUNAL SHAH (00:04:40): 我们这些人都是靠自己摸索学会了做产品的艺术,零零散散地看些内容、读些东西。
KUNAL SHAH (00:04:49): 所以为你所做的一切致敬。
KUNAL SHAH (00:04:51): 就像我之前说的,你做了一件非常了不起的事——把做产品这门艺术中的信息不对称打破,让全世界很多人都能接触到。
KUNAL SHAH (00:05:02): 谢谢你。
LENNY RACHITSKY (00:05:03): 哇,真的很感谢。
LENNY RACHITSKY (00:05:04): 我感觉已经很好了。
LENNY RACHITSKY (00:05:06): 我有一个很大的……原来这个播客在印度有庞大的听众群,就像你一样。
LENNY RACHITSKY (00:05:12): 所以我觉得这次对话会非常特别,对很多人来说也非常有意义。
LENNY RACHITSKY (00:05:18): 我想从一个非常实操的话题开始。
LENNY RACHITSKY (00:05:21): 有一个你提出的产品框架,我非常喜欢,过去几年至少分享给了 30 位创始人。实际上这也是我最初发现你的方式——我听说了这个东西,心想,这个 Kunal Shah 是谁?
LENNY RACHITSKY (00:05:34): 然后你看,我们现在在这里聊天了。
LENNY RACHITSKY (00:05:36): 你能简要解释一下这个框架,然后说说你是怎么使用它的,或者你推荐人们怎么应用它吗?
LENNY RACHITSKY (00:05:43): 哦对了,它叫 Delta 4。
LENNY RACHITSKY (00:05:44): 我刚才好像连名字都没说。
KUNAL SHAH (00:05:46): 对,它叫 Delta 4 框架,不过我觉得它其实相当简单。
KUNAL SHAH (00:05:51): 你想,很多人说你的产品要好 10 倍,但这并不是很好量化。
KUNAL SHAH (00:05:57): 你不知道自己是不是好 10 倍,除非你在自欺欺人。
KUNAL SHAH (00:06:01): 而我的触发点其实是——我在印度是一个不典型的科技创始人。
KUNAL SHAH (00:06:06): 我是印度唯一一个人文/哲学专业出身、进入科技行业的创始人。
KUNAL SHAH (00:06:12): 我经常想,和我同龄的人,或者走在我前面的人,是不是在学术上或其他方面明显比我聪明得多。
KUNAL SHAH (00:06:21): 那为什么我的第一家创业公司 Freecharge 能成功,而且我在2015年以近4.5亿美元退出了?
KUNAL SHAH (00:06:28): 我就在想,“是什么让这一切发生的?”
KUNAL SHAH (00:06:31): 因为我根本不够格进入印度那些顶尖 IIT 排名者的超级联盟。
KUNAL SHAH (00:06:38): 这让我开始了一段哲学探索之旅,去弄清楚到底是什么让事物成功。
KUNAL SHAH (00:06:43): 所以这个简单的框架是——我经常举的一个例子——想象一下以前打车的方式和 Uber。如果我让你给 Uber 的效率打分,再给老式出租车打分,你会怎么打,Lenny?
KUNAL SHAH (00:06:58): 我很好奇。
KUNAL SHAH (00:06:59): 满分10分。
LENNY RACHITSKY (00:07:00): 嗯,给出租车打三分,然后 Uber 打九分吧。
LENNY RACHITSKY (00:07:04): 对。
KUNAL SHAH (00:07:05): 所以每次你看到产品的效率差值(efficiency delta)大于或等于4的时候,会发生三件事。
KUNAL SHAH (00:07:14): 第一,它是不可逆的。
KUNAL SHAH (00:07:16): 第二,你对它出问题有很高的容忍度。
KUNAL SHAH (00:07:21): 如果 Uber 偶尔出点问题,你会说,“天哪,我真的要停用它吗?”
KUNAL SHAH (00:07:30): 不会。
KUNAL SHAH (00:07:31): 第三件事是我所谓的 UBP,‘Unique Brag-worthy Proposition’(独特炫耀命题)。
KUNAL SHAH (00:07:37): 每当人类解锁了一个 Delta 4 的产品或服务时,他们就无法停止谈论或分享它。
KUNAL SHAH (00:07:46): 因此所有 Delta 4 产品天然就会有更低的 CAC(获客成本),有时甚至是零 CAC,因为人们,人类……你想想,Lenny,你是怎么发现 Google 的,绝对不是通过广告,绝对不是通过什么精准营销之类的。
KUNAL SHAH (00:07:57): 肯定是有人给你看了演示,然后你就觉得,“天哪,这太疯狂了。”
KUNAL SHAH (00:08:01): 而这就是我目前看到的景象——OpenAI 上发生的一切,以及围绕 LLM 发生的一切,感觉就像魔法一样,它就是 Delta 4,因为做事情之前和之后的效率差距已经说明了这一点。
KUNAL SHAH (00:08:12): 但失败才是真正的问题。
KUNAL SHAH (00:08:15): 而且把所有东西都加上技术并不能让事情变得更高效。
KUNAL SHAH (00:08:19): 举个例子。
KUNAL SHAH (00:08:21): 在线上为自己买一套西装,对比在线下买——全是技术,各种酷炫的东西,各种功能都内置进去了。
KUNAL SHAH (00:08:30): 你觉得在线上买西装的效率比起线下买怎么样?
LENNY RACHITSKY (00:08:35): 我确实试过,完全不合身。一点都不合。
LENNY RACHITSKY (00:08:39): 所以它效率是高了,但最终的结果并不好,可能经常都不理想。
LENNY RACHITSKY (00:08:45): 所以大概——
KUNAL SHAH (00:08:46): 总体效率评分,你会给多少?
LENNY RACHITSKY (00:08:48): 在线买西装的?
KUNAL SHAH (00:08:50): 对,对比线下。
LENNY RACHITSKY (00:08:53): 我大概给五和五吧。
LENNY RACHITSKY (00:08:56): 线下体验实际上可能更好。
LENNY RACHITSKY (00:08:58): 我给七分。
KUNAL SHAH (00:08:59): 这就很有意思了,因为你打破了一个原则——这是一个科技产品,但效率反而是线下更高。
KUNAL SHAH (00:09:06): 因此,当差值小于4的时候,你会发现它是可逆的。
KUNAL SHAH (00:09:15): 你不会看到人们拿它炫耀,而且你对它完全没有容忍度。
KUNAL SHAH (00:09:21): 所以你以后再也不会在线上买西装了。我现在就可以告诉你。
KUNAL SHAH (00:09:25): 所以我觉得这是一个简单的框架。
KUNAL SHAH (00:09:28): 我相信如果很多公司去应用的话……我知道现在美国很多 VC 把这个作为分析师培训项目的一部分。
KUNAL SHAH (00:09:36): Sequoia 有人跟我提到,他们已经把这个纳入了培训体系,但在印度我们仍然没有大量应用这些方法。
KUNAL SHAH (00:09:46): 我觉得这是一个简单的框架,至少可以帮你判断。你可以把它应用在功能上、产品上、业务上。
KUNAL SHAH (00:09:55): 而且很多时候,这个概念其实更深入。
KUNAL SHAH (00:09:57): 我们可以从很多角度来谈,因为它是从围绕熵和进化生物学的研究中衍生出来的,这也是我发现和思考 Delta 4 的根源——“一个物种什么时候会被颠覆?“或者”什么是熵?为什么低熵的增长需要高熵?”
KUNAL SHAH (00:10:18): 这个话题单独就能聊一整天的播客。
KUNAL SHAH (00:10:19): 所以下次再说。
Delta 4 框架的总结
LENNY RACHITSKY (00:10:21): 好的。
LENNY RACHITSKY (00:10:21): 我们把这个留到以后做一期后续节目,专门深入聊聊 Delta 4 的心理学。我来总结一下,因为我觉得这是一个非常有威力的框架,而且我发现它在说服创始人理解为什么他们的产品没起飞这件事上特别有用。
LENNY RACHITSKY (00:10:32): 他们可能觉得自己的产品比原来的好。经典的例子就是,一个更好的 Excel。
LENNY RACHITSKY (00:10:36): 你看,这比 Excel 好太多了。
LENNY RACHITSKY (00:10:38): 它能做所有这些事。
LENNY RACHITSKY (00:10:39): 你不用学那些公式。
LENNY RACHITSKY (00:10:41): 但这里的关键在于——我特别喜欢这一点——就是让人们给现有方案打1到10分,再给你的方案打1到10分。
LENNY RACHITSKY (00:10:48): 必须高出4分,否则没人在意。
LENNY RACHITSKY (00:10:52): 而且我觉得道理很简单。
LENNY RACHITSKY (00:10:53): 人们很忙,有足够多的事情要做,有足够多的产品和应用,如果某样东西没有好那么多,他们不会花时间去真正深入挖掘。
KUNAL SHAH (00:11:00): 完全同意。
LENNY RACHITSKY (00:11:01): 好。
LENNY RACHITSKY (00:11:01): 接下来我要换一个完全不同的话题。
印度裔 CEO 现象
LENNY RACHITSKY (00:11:03): 我想聊聊在美国的印度裔 CEO。
LENNY RACHITSKY (00:11:06): 好的。
LENNY RACHITSKY (00:11:07): 如今微软、Alphabet、Adobe——这可是一家2500亿美元的公司——IBM,1700亿美元的公司,Palo Alto Networks,1000亿美元的公司,甚至星巴克,也是一家1000亿美元的公司,我刚查了一下。
LENNY RACHITSKY (00:11:25): 还有 Elon 接手之前的 Twitter。这些公司的 CEO 全都出生在印度,后来移民到了美国。
LENNY RACHITSKY (00:11:32): 我可能是错的,但我认为在美国科技公司 CEO 中,除了白人之外,印度裔是最大的族裔群体。
LENNY RACHITSKY (00:11:41): 好的。
LENNY RACHITSKY (00:11:41): 所以我很好奇,你觉得为什么印度移民在美国的商业和科技领域如此成功,尤其是在这些非常高的位置上?
LENNY RACHITSKY (00:11:50): 而我最好奇的是,我们能从中学到什么?
LENNY RACHITSKY (00:11:53): 我们能从他们的成功中学到什么?
KUNAL SHAH (00:11:55): 这是一个很好的问题。
KUNAL SHAH (00:11:56): 我也经常思考这个问题,而且我有幸见过他们中的不少人,也有机会真正和他们深入探讨到底发生了什么。
KUNAL SHAH (00:12:07): 有几件事很突出。
KUNAL SHAH (00:12:10): 再说一次,这些都是推测,我没有任何方式可以证明,但做一个思维实验来讨论这些事情是有意义的。
KUNAL SHAH (00:12:18): 首先是,一般来说,离开祖国的移民通常会有一种非常特殊的不甘心态。他们为了走出去并获得成功所经历的挣扎,以及驱使他们到达那里的那种渴望——他们没有任何特权。
KUNAL SHAH (00:12:37): 他们来自非常非常卑微的背景,几乎没有任何起步资金。
KUNAL SHAH (00:12:42): 所以我认为这种力量是真实的。
KUNAL SHAH (00:12:46): 你也可以把这说法推广到一般意义上的许多移民。但对数学的普遍欣赏,或者以重大方式进入社会的逻辑思维,确实起到了推动作用。比方说,大量的工程类毕业生只来自少数几个国家,因为那些社会倾向于让人们很早接触数学。
KUNAL SHAH (00:13:04): 我认为这有助于创造一种受人认可的声望。
KUNAL SHAH (00:13:10): 比如,成为一名工程师、一名医生……而作为一个哲学专业的学生,我在社会上是被判了”废人”的。
KUNAL SHAH (00:13:16): 所以我在这里反而成了稀缺品,因为除非你能通过那些极难的考试、做出极其困难的事情,否则你不会被认为是聪明人。
KUNAL SHAH (00:13:25): 所以这种筛选标准本身就是巨大的。
印度神话与管理框架
KUNAL SHAH (00:13:28): 但还有一个完全不同的有趣框架,我是从 Devdutt Patnaik 这位先生那里学到的。他将印度神话和管理原则结合在一起。
KUNAL SHAH (00:13:39): 这很有意思。印度有三大主神。
KUNAL SHAH (00:13:43): 一是梵天,创造之神;湿婆,毁灭之神。
KUNAL SHAH (00:13:49): 我在此做了概括,但大致就是这样的分类。
KUNAL SHAH (00:13:52): 第三位是毗湿奴,维系之神。
KUNAL SHAH (00:13:55): 而他的化身——“avatar”(化身)这个词就来自不断变换化身的毗湿奴。
KUNAL SHAH (00:13:59): 所以有罗摩、黑天,所有这些神都是他的化身。
KUNAL SHAH (00:14:04): 所以你注意到的是,如果你画一个二维矩阵,横轴是价值观高低,纵轴是服从性高低,就会得到一个有趣的四象限图。
KUNAL SHAH (00:14:19): 其中,黑天是最受欢迎的化身之一,他适合企业家这个类型——价值观高,但服从性很低。他是出了名的淘气之神,能创造出很多东西。
KUNAL SHAH (00:14:36): 还有罗摩,他以遵循原则、服从规矩而著称。
KUNAL SHAH (00:14:41): 他们会遵循”dharma”(法)并在此之上扩展。
KUNAL SHAH (00:14:45): 然后还有一些臭名昭著的角色:罗波那,价值观低、服从性也低;还有难敌,他说自己是高服从性但低价值观。
KUNAL SHAH (00:14:55): 这些是你不想成为的那种人。
KUNAL SHAH (00:14:57): 你会发现,许多 CEO 做得好,是因为他们很好地遵循了创始人的”dharma”。
KUNAL SHAH (00:15:05): 他们没有稀释那些创办公司的人所建立的法,并且成功地维系了下去。
KUNAL SHAH (00:15:13): 而很多 CEO 有一种冲动,说”哦,我要彻底改变这家公司,让它成为我的标签,我要换掉标志、改掉名字,做各种各样的事情。”
KUNAL SHAH (00:15:25): 但维护”dharma”——意思是”这些原则是前人交给我的,我要维系它,并让它变得更大”——这来自于一种谦逊,承认某样东西是以某种纯粹的形式被创造出来的,我认为这种品格会留存下来。
KUNAL SHAH (00:15:41): 因此我们有梵天和湿婆这样的角色——创始者与毁灭者。
KUNAL SHAH (00:15:47): 这就是关键。
KUNAL SHAH (00:15:48): 但维系是最难的那一个。
KUNAL SHAH (00:15:51): 因此我们的化身会随着时间不断出现,不同的障碍出现,不同的层级到来。
KUNAL SHAH (00:15:57): 但当你思考这个原型时——至少就印度裔 CEO 而言——我发现他们非常擅长在黑天和罗摩之间不断切换。
KUNAL SHAH (00:16:07): 他们能够持续地扮演这两种角色,因此不断进化,把这些公司做得越来越大。
KUNAL SHAH (00:16:14): 我认为在未来几年我们会看到更多这样的情况,因为现在他们已经有了那些做得很成功的人作为榜样。
KUNAL SHAH (00:16:22): 但核心原则是,如果你去问创始人,如果这些 CEO 还在身边,他们会很喜欢这些 CEO,因为他们维护了法。
KUNAL SHAH (00:16:32): 比如,Tim 正在做的事情就是在维护史蒂夫·乔布斯的法,因为如果他试图改变乔布斯的法和公司的价值观,很难想象这家公司还能持续下去。
LENNY RACHITSKY (00:16:45): 哇,这个回答太精彩了。
LENNY RACHITSKY (00:16:47): 我喜欢的地方在于,这个回答把二维矩阵和印度神话结合在了一起。它简直就是你这个人的缩影——哲学与技术的交融。
LENNY RACHITSKY (00:16:58): 我非常喜欢,而且你的思维自然而然就走到那里,这很合理。
五级领导力与长期主义
LENNY RACHITSKY (00:17:02): 这让我想到另一件事,我很久以前读过一本书,Jim Collins 的《从优秀到卓越》,或者是他早期关于领导力的一本书,他谈到了五级领导力。五级领导者是那种不以自我为中心、以事业为重的人,他们即使未来隐退,事情也会运转得很好。
LENNY RACHITSKY (00:17:19): 是的。
KUNAL SHAH (00:17:20): 我觉得,如果你认为自己的身份需要有属于自己的位置和遗产,那会非常困难。因此很多时候追逐地位会导致破坏,因为你会说”哦,这里面没有我的印记。”
KUNAL SHAH (00:17:37): 所以接受这个宗教,努力成为它的教皇或教父,比说”哦,我需要有一个我自己的宗教变体”要好。
KUNAL SHAH (00:17:50): 而那正是创造性破坏开始发生的地方。
LENNY RACHITSKY (00:17:54): 有意思。
LENNY RACHITSKY (00:17:55): 好的。
LENNY RACHITSKY (00:17:55): 你刚才说到黑天和罗摩之间存在一种很好的平衡。
LENNY RACHITSKY (00:17:59): 你能简要概括一下他们在那个二维矩阵中的位置吗?
KUNAL SHAH (00:18:02): 罗摩是高价值观、高服从性;黑天是高价值观、低服从性。但他们的价值观都很高,这意味着他们会遵循法,也会灵活变通。
KUNAL SHAH (00:18:17): 举个例子,在 OpenAI 危机期间,Satya 扮演了黑天的角色,把事情解决了,但他会切回罗摩的模式,继续扩大规模。
LENNY RACHITSKY (00:18:29): 太妙了。
LENNY RACHITSKY (00:18:29): 最后再确认一下,你的感觉是——他们真的在 consciously 想这些,他们有宗教信仰?还是说这只是成长在印度、在文化氛围中自然吸收的东西?
KUNAL SHAH (00:18:40): 这是个好问题。
KUNAL SHAH (00:18:40): 我不认为他们有意识地想这些,但我觉得如果他们听到这些,他们会认同,因为这就是他们从小耳濡目染的东西,而价值体系是更加长期的东西。
KUNAL SHAH (00:18:51): 比如,我相信人类所有的不良行为都来源于短期思维,而选择长期主义是一个重大的抉择。
KUNAL SHAH (00:19:04): 很多时候很多人争论说,我们有 95% 的包办婚姻、不到 1% 的离婚率,这源于这种长期思维——人们是基于价值观而非吸引力或欲望而结合的。他们更注重长期导向,着眼于建立家庭、建立价值观。
KUNAL SHAH (00:19:31): 或者说,低离婚率是关于”我们边走边修”的心态,而不是试图说”我需要进化”、“我需要向前走”。
KUNAL SHAH (00:19:38): 所以我认为就是要有这种长期主义的心态,这也正是为什么有些文明能延续数千年——因为每个人都更倾向于长期而非短期。
LENNY RACHITSKY (00:19:52): 美国现在很需要这种东西。
LENNY RACHITSKY (00:19:55): 你提到一个有趣的事实,在印度,大多数创业公司都会失败。你说的那个经典数据好像是 90%,创业的风险——创业然后失败的风险——要高得多。
LENNY RACHITSKY (00:20:08): 你能谈谈这带来了什么影响吗?
LENNY RACHITSKY (00:20:11): 人们如何试图规避这种风险?
LENNY RACHITSKY (00:20:12): 因为如果能降低创业风险那就太好了,还是说失败就是失败了,人们会背上巨额债务?
创业风险与社会惩罚
KUNAL SHAH (00:20:20): 我认为长期导向的社会天然更加厌恶风险。同样的原因,并不是所有优秀的 CEO 都能成为优秀的创始人。
KUNAL SHAH (00:20:32): 事实上,我想说的是,如果你曾经是一位出色的 CEO,反而会很难成为创始人——因为你已经从一个创造者、破坏者变成了一个维持者。
KUNAL SHAH (00:20:45): 我说的细微差别是,在风险承受能力方面,印度正在发生变化,但现在我们第一次看到创始人受到尊重和讨论,独角兽被庆祝,我们的总理也公开谈论创业。
KUNAL SHAH (00:21:02): 我们有国家创业日等等。
KUNAL SHAH (00:21:04): 所以我认为确实有些事情改变了这一点,但让我们理解核心的人类行为。
KUNAL SHAH (00:21:11): 印度仍然有大量的包办婚姻。
KUNAL SHAH (00:21:16): 如果你是一位创始人,而且是一位失败的创始人,你找到结婚对象的机会仍然很难实现。
KUNAL SHAH (00:21:26): 所以如果这些都是事实,那么承担风险的意愿就会被抑制。
KUNAL SHAH (00:21:32): 有人给了我一个有趣的例子:印度有一家非常大的 CPG(快消品)公司,假设你在那里做一个从零到一的项目,然后 CEO 在四五年后换了,你的从零到一失败了,但你曾经是最优秀的人,所以才被分配去做那个从零到一。
KUNAL SHAH (00:21:49): 新来的 CEO 会问:“那你过去五年做了什么?”
KUNAL SHAH (00:21:52): 你说:“没什么。我只是试着推出了一个产品,但失败了。”
KUNAL SHAH (00:21:55): 你在公司里既得不到晋升,也没有其他公司会说:“天哪,我要招揽这个人才。”
KUNAL SHAH (00:22:00): 而在 CPG 公司里留在那个稳定品牌上的人,却一直在升职,但那个品牌本身有天然的顺风。
KUNAL SHAH (00:22:07): 他要做的就是什么都不做。
KUNAL SHAH (00:22:10): 然后你会突然发现,他或她做得很好,而那个做了从零到一的人却做得不好。
KUNAL SHAH (00:22:16): 所以我们作为一个国家,还不庆祝冒险者。
KUNAL SHAH (00:22:21): 我认为我们会改变的。
KUNAL SHAH (00:22:23): 我觉得这已经在变了,但我们还有很长的路要走。
冒险者的社会地位
KUNAL SHAH (00:22:27): 我经常谈到的一件美好的事情是,有一次我在葡萄牙,我看到了——我不知道你去没去过、见没见过——教堂里通常只有王室才能被安葬或火化。只有另外一个类别也被允许——探险家。
KUNAL SHAH (00:22:47): 达伽马,所有那些探索了世界、承担了风险、推动了国家前进的人,被给予了和王室同等的地位。
KUNAL SHAH (00:22:55): 所以当我们把最高地位赋予冒险者时,这个国家就会珍视这种行为,因为归根结底,我们都在寻找社会认可的标记。
LENNY RACHITSKY (00:23:05): 非常有趣。
DAU 与 ARPU 的鸿沟
LENNY RACHITSKY (00:23:06): 我想继续谈谈印度以及它的不同之处,尤其是关于这个市场有哪些令人意外的地方——无论是在那里创业,还是如何打造在印度成功的产品。
LENNY RACHITSKY (00:23:15): 我在另一个采访中看到你谈到,DAU 和 ARPU 之间存在巨大差距。在印度,获得 DAU——基本上就是获取大量用户——非常容易,但提高每用户收入却非常难,这从根本上改变了你构建产品的方式。
LENNY RACHITSKY (00:23:30): 你能谈谈为什么会这样吗?
LENNY RACHITSKY (00:23:32): 为什么获得 DAU 比 ARPU 容易这么多?
KUNAL SHAH (00:23:37): 我认为 ARPU 是一个国家人均收入的函数。
KUNAL SHAH (00:23:41): 你不可能从一个国家每用户赚取 100 美元,而那个国家的人均年收入可能只有 2500 美元。
KUNAL SHAH (00:23:52): 所以发生的情况是,很多全球性公司喜欢来到印度,因为我们有最便宜的数据流量,以及非常高的智能手机渗透率。
KUNAL SHAH (00:24:01): 所以如果你看很多全球巨头,他们从印度获得 5 亿用户,有时从亚洲获得 10 亿用户,他们没有很高的 ARPU,但他们帮你展示了用户增长,这在公开市场上有帮助,从而提升你的估值。
KUNAL SHAH (00:24:16): 举个例子,我的猜测是——我不知道这个数据是否公开、是否可以谈论——我的猜测是 Meta 在印度每用户每年的变现不会超过 3 到 4 美元。
KUNAL SHAH (00:24:28): 但如果你看印度的用户增长,那是巨大的。
KUNAL SHAH (00:24:33): 所以很多时候,对于全球公司来说,印度变成了一个很好的 MAU 农场,但 ARPU 非常低。因此,很多印度创始人试图照搬西方市场说”我要有几亿用户”,犯了一个可怕的错误——因为到头来他们需要去海外寻找 ARPU 来平衡这个局面。
LENNY RACHITSKY (00:24:52): 你谈到 Netflix 就是一个很好的例子,他们在印度上线,获得了大量用户,但就是赚不到多少钱。
KUNAL SHAH (00:24:58): 是的。
KUNAL SHAH (00:24:58): 因为要让用户找到相关内容、为内容付费——当我们有大量的免费流量、到处都是免费内容,比如短视频在争夺时间,这里有太多事情在发生——用户为内容付费的设计本身就会比较少。
KUNAL SHAH (00:25:17): 我不是说这在 10 年、20 年后不会改变,但很多全球公司来到这里期望”我一进来就会有几千万用户开始付费”——对 Spotify、Netflix、或者 Amazon Prime 来说,这个预期并没有实现。
LENNY RACHITSKY (00:25:37): 所以我的一个收获就是,尤其是作为投资者看一家创业公司时,你看到”我们有一亿用户”,不要把它等同于在美国或其他市场的一亿用户。
KUNAL SHAH (00:25:49): 绝对如此。
时间的价值
KUNAL SHAH (00:25:50): 还有一件事是”时间的价值”这个概念。
KUNAL SHAH (00:25:53): 所以你会发现一件事,Lenny,没有任何一个印度人在他们一生中被支付过小时工资。
KUNAL SHAH (00:26:00): 但让我问你一个问题。
KUNAL SHAH (00:26:01): 你的第一份工作是什么,你是怎么被付薪的?
LENNY RACHITSKY (00:26:04): 我的第一份工作,我在教女性学电脑,帮她们通过微软认证考试。
LENNY RACHITSKY (00:26:10): 我的报酬,我很确定是按小时计的。
KUNAL SHAH (00:26:10): 现在你很可能还记得时薪是多少。
KUNAL SHAH (00:26:16): 即使你后来赚得多了很多,你依然有”自己一小时值多少钱”这个概念。
KUNAL SHAH (00:26:23): 但如果你去问大多数印度人——如果你有机会来印度,见到他们的时候做个实验,就问他们”你每天或每小时的收入是多少?”
KUNAL SHAH (00:26:34): 没有人能答上来,不管他们做什么工作。
KUNAL SHAH (00:26:36): 可能是餐厅服务员,做最基础工作的人,或者任何光鲜职位的人,因为我们从来没有按小时拿过薪水。
KUNAL SHAH (00:26:47): 所以当你不是按小时拿薪水的时候,时间的概念就不一样了。
KUNAL SHAH (00:26:53): 当时间的概念不一样,为时间付费就很难做到。
KUNAL SHAH (00:26:59): 因此你会看到很多印度人,假设他们可能一小时赚 100 美元,但仍然会花一个小时去省一张机票上的 10 美元,就是这么回事。
KUNAL SHAH (00:27:10): 如果你跟很多在西方的印度人聊这个,你会发现这是个共同的笑话——他们还是会为了那 10 美元去争,因为时间的价值是很难习惯的东西,除非你从小到大时间的单位被越缩越小。
时间、效率与语言
LENNY RACHITSKY (00:27:29): 这真的很有意思。
LENNY RACHITSKY (00:27:31): 你是说这仅仅是因为人们从来没有按小时拿过报酬?
LENNY RACHITSKY (00:27:34): 一直都是固定薪水,所以人们不会去——
KUNAL SHAH (00:27:36): 为时间赋予价值的概念。
KUNAL SHAH (00:27:40): 很多印度语言里没有”效率”这个词。
LENNY RACHITSKY (00:27:44): 哇。
KUNAL SHAH (00:27:45): 很多亚洲语言也是如此,“效率”这个词是不存在的。
KUNAL SHAH (00:27:50): 既然词汇里都没有,又怎么去衡量它呢?
LENNY RACHITSKY (00:27:54): 太有意思了。
专注是诅咒:低信任市场的超级应用
LENNY RACHITSKY (00:27:56): 你之前谈到了 DAU、ARPU 和效率,与此相关的还有一个我很喜欢的观点——专注在亚洲市场是一种诅咒。在美国,人们经常听到这样的建议:
LENNY RACHITSKY (00:28:09): “专注,做出一个大家都喜欢的出色产品,把它做好,扩大规模,然后,只有到那时,才去做新产品或新的大功能。”
LENNY RACHITSKY (00:28:18): 而你的建议是,在印度和整个亚洲市场,恰恰相反。
LENNY RACHITSKY (00:28:22): 我想这是因为你从每个用户身上赚得太少了。
LENNY RACHITSKY (00:28:24): 你能谈谈这个吗?
KUNAL SHAH (00:28:25): 是的。
KUNAL SHAH (00:28:26): 一是你从每个用户身上赚得很少,所以你必须做很多事情。
KUNAL SHAH (00:28:30): 但还有一个原因是,所有低信任市场——我定义一下低信任市场:消费者在尝试新事物时要谨慎得多,因为没有机构保护你免受公司不良行为的侵害。
KUNAL SHAH (00:28:44): 比如说,如果我在美国一家咖啡店摔了一跤,我可以考虑起诉他们,从中获得赔偿。
KUNAL SHAH (00:28:51): 在印度,你只会担心”我得自己付医药费”。
KUNAL SHAH (00:28:53): 你根本不会想去起诉咖啡店,甚至不会指望从中拿到任何钱。
KUNAL SHAH (00:28:57): 所以在低信任国家——所有发展中国家天然都是低信任的,因为制度不够强大,无法真正处理好很多事情——
KUNAL SHAH (00:29:09): 结果就是信任会集中。
KUNAL SHAH (00:29:11): 所以你会看到超级应用、超级明星、超级公司全都存在于低信任市场中,因为缺乏信任导致了信任的集中,因此你会看到一个应用可以做 400 件事。
KUNAL SHAH (00:29:24): 比如我们有一家叫 Tata 的公司,从盐到汽车到珠宝到什么都可以做,人们都会买,因为它是 Tata 的品牌,因为在低信任社会里人们信任这个品牌,而不会去想”我要试试这个新品牌”。
KUNAL SHAH (00:29:42): 在低信任国家,尝试新事物的乐趣并不高。
品牌与信任的根源
LENNY RACHITSKY (00:29:47): 哇,我学到了很多。
LENNY RACHITSKY (00:29:48): 我之前完全不知道这些。
LENNY RACHITSKY (00:29:49): 所以基本上,品牌在印度市场的重要性是呈指数级更高的。
KUNAL SHAH (00:29:55): 说来有趣,世界上最古老的品牌是一个叫 Chyavanprash 的品牌。
KUNAL SHAH (00:30:00): 它是一个叫 Chavan 的人做的”prash”,就是一种膏状的东西,吃了对身体好,很多很多世纪以前就在印度诞生了。
KUNAL SHAH (00:30:14): 很多印度企业至今仍以背后那个人的名字命名。
KUNAL SHAH (00:30:19): 美国其实也一样。
KUNAL SHAH (00:30:21): JP Morgan,这些都不是什么花哨的名字。
KUNAL SHAH (00:30:23): 都是人名。
KUNAL SHAH (00:30:25): 所以在印度,信任仍然大量来自那些拥有极高信任和声誉的人的名字。
印度科技的挑战与机遇
LENNY RACHITSKY (00:30:33): 我想稍微拉远一点,然后再换个方向聊。
LENNY RACHITSKY (00:30:36): 你认为印度目前科技领域最紧迫的挑战是什么,或者印度创业公司最大的机遇在哪里?
LENNY RACHITSKY (00:30:47): 然后总体来看,你认为未来几年会怎么演变?
KUNAL SHAH (00:30:51): 有时候我在想,挑战和机遇是不是完全同一回事。
KUNAL SHAH (00:30:56): 比如说,我们最大的挑战之一是女性劳动参与率比很多市场都低得多。
KUNAL SHAH (00:31:04): 但我也认为这是一个机遇,因为你可以借助 AI,创造很多新型的商业和机会,毕竟现在居家办公已经不是什么陌生的概念了。
KUNAL SHAH (00:31:13): 你真的可以为此打造非常有意思的业务。
KUNAL SHAH (00:31:16): 第二,我们的人均收入很低。
KUNAL SHAH (00:31:23): 所以 AI 能做的不是夺走我们的工作,而是让我们变得更聪明。
KUNAL SHAH (00:31:28): Satya 说专业知识现在已经弥漫在空气中了。你可以搭上这班车,在很多方面让世界变得更加平等。
KUNAL SHAH (00:31:40): 所以这是一个巨大的机遇,同时也是挑战,因为我经常开这个玩笑——全世界最大的雇主是”低效率”,如果你把它太快拿走,我们将迎来一个非常非常没有工作的世界。
KUNAL SHAH (00:31:52): 所以这件事对印度这样的国家来说既是机遇,也可能成为威胁——如果我们不开始在 AI 上变得出色的话。
KUNAL SHAH (00:32:01): 我今天刚好还在跟人说,也许我们所有的面试都应该布置一个任务,只有非常擅长 AI 的人才能完成。
KUNAL SHAH (00:32:11): 不管是什么岗位,你把这个设为最低门槛——如果他们不会使用 AI、不会借助 AI,反正 5 年后他们也会变成累赘。
KUNAL SHAH (00:32:23): 最后一点是,我们拥有非常年轻的人口结构,接触技术的条件很好,能用到智能手机等等,而且很有干劲。
KUNAL SHAH (00:32:34): 但我们的挑战在于,这也是真正学习什么是创业、什么是风险的第一代人,我们会犯各种错误才能到达那里。
KUNAL SHAH (00:32:43): 我希望我们不会在经历这些前所未有的大规模失败之后缩回壳里去。
KUNAL SHAH (00:32:50): 印度还不习惯裁员。
KUNAL SHAH (00:32:53): 创业圈是习惯了裁员的,但在印度,如果创业公司裁员,这会成为全国新闻,各种讨论铺天盖地。
KUNAL SHAH (00:33:01): 我们还没到那一步。
KUNAL SHAH (00:33:03): 所以我们卡在了一个既不像集体主义、又不像个人主义的社会之间的位置。
KUNAL SHAH (00:33:10): 我们处于某个中间地带。
KUNAL SHAH (00:33:12): 印度是一切事物的大混搭。
LENNY RACHITSKY (00:33:15): 我很喜欢你刚才分享的这句话——“低效是世界上最大的雇主”。
LENNY RACHITSKY (00:33:22): 我完全理解。
LENNY RACHITSKY (00:33:23): 好的。
LENNY RACHITSKY (00:33:24): 我们来聊聊 CRED 吧。
LENNY RACHITSKY (00:33:27): 你在 CRED 之前应该有过三家创业公司?
LENNY RACHITSKY (00:33:31): 好的。
LENNY RACHITSKY (00:33:31): 然后 CRED 你已经做了大约六年了。
LENNY RACHITSKY (00:33:34): 我很好奇,在 CRED 这段旅程中,相比于之前的阶段,你学到了什么或者改变了哪些想法。
CRED 的洞察与客户聚焦
KUNAL SHAH (00:33:45): 我觉得 CRED 的洞察其实非常简单。
KUNAL SHAH (00:33:47): 我们意识到,不幸的是,时间的价值和人均收入集中在 2500 万个家庭手中,因此专注于他们是至关重要的。
KUNAL SHAH (00:33:56): 而且他们在行事方式上比印度其他人群要全球化得多。
KUNAL SHAH (00:34:01): 所以你必须为他们打造完全不同的产品。
KUNAL SHAH (00:34:05): 我意识到,专注于这样一个客户群体在过去是几乎不可能的,因为每个投资人都期望我们成为下一个中国,而印度和中国唯一的相似之处就是人口,其他方面毫无相似。
KUNAL SHAH (00:34:19): 所以我觉得正是这种信念——“我只服务这些人,这个市场已经足够大了”。
KUNAL SHAH (00:34:27): 幸好我之前有过一次成功,才有人愿意押注。
KUNAL SHAH (00:34:30): 所以我们的 A 轮融资是 2500 万美元。
KUNAL SHAH (00:34:32): 如果我过去没有成功经历,我不可能有这种待遇,因为我拿不出任何有变现能力的产品来证明自己做的是对的。
KUNAL SHAH (00:34:39): 结果还不错,但我觉得之所以能让很多人愿意在我的洞察或论点上冒险,是因为我选对了客户类别并在此基础上构建产品。
从零到一与从十到一百
KUNAL SHAH (00:34:51): 但我认为我学到的另一点是,非常擅长从零到一的公司,并不自然而然就能擅长从十到一百。
KUNAL SHAH (00:35:00): 有大量不同的课题需要学习。
KUNAL SHAH (00:35:01): 创始人必须进化。
KUNAL SHAH (00:35:03): 这是最关键的事情。
KUNAL SHAH (00:35:05): CRED 里大多数人从未见过比 CRED 更大的企业,这既有好处也有代价。
KUNAL SHAH (00:35:12): 所以你必须时不时地对组织进行”绅士化”,让人们理解许多可靠做法的价值。
KUNAL SHAH (00:35:19): 我经常告诉人们,创业者是所有人——员工、投资人、客户——的不确定性吸收者,因此他们因为从人们的生活中消除了不确定性而获得回报。
KUNAL SHAH (00:35:37): 但在规模化企业中,期望的种类在不断变化。
KUNAL SHAH (00:35:41): 比如,假设你有一位种子轮的投资人,他们非常习惯高度不确定性,对一定程度的吸收就很满意。
KUNAL SHAH (00:35:51): 但当你引入成长期投资人,假设你的股权表上有主权基金,你需要提供的稳定性就要大得多,因此你必须以截然不同的方式进化。
创始人作为不确定性吸收者
KUNAL SHAH (00:36:01): 所以我觉得这是我学到的几课。
KUNAL SHAH (00:36:02): 关于人才,你开始意识到不是每个人都能跟着公司一起扩展到任何阶段。
KUNAL SHAH (00:36:07): 而且你不能因为正在做从十到一百就放弃从零到一的基因。
KUNAL SHAH (00:36:12): 那你如何让这些东西共存?
KUNAL SHAH (00:36:15): 你如何应对市场的重大变化,而不变成一家迟缓的公司?
KUNAL SHAH (00:36:19): 每家公司都会经历这个阶段。
KUNAL SHAH (00:36:21): 我的意思是,如果你看看 Zuck 过去三四年的经历,正是如此。
KUNAL SHAH (00:36:27): 我常说,他必须扮演 Shiva 的角色,来进行大量破坏才能重新壮大。
KUNAL SHAH (00:36:34): 所以我觉得这就是创始人能做的事,但这并不容易。
利润池与国家价值观
KUNAL SHAH (00:36:39): 我学到的另一点是,一个国家的利润池能告诉你这个国家看重什么。
KUNAL SHAH (00:36:48): 试图把别人的利润池复制到自己国家是不明智的,因为一个国家的价值观体现在它现有的利润池中。
KUNAL SHAH (00:36:57): 举个例子。
KUNAL SHAH (00:36:59): 在印度利润最高的 1000 家公司中,零售企业可能只有两三家。
KUNAL SHAH (00:37:06): 但如果你看西方市场,你会看到一大堆,因为那是一个消费市场,加上非常高的离婚率,这意味着你总是在市场上重新开屏炫耀,努力健身、变酷,诸如此类。
KUNAL SHAH (00:37:19): 印度的离婚率非常低,不到 1%,大多是包办婚姻。
KUNAL SHAH (00:37:24): 时尚消费方面,由于我们的女性劳动参与率较低,印度大概是唯一一个女性时尚消费低于男性的市场。
KUNAL SHAH (00:37:33): 在其他所有地方,女性的时尚消费大概是男性的五到六倍。
KUNAL SHAH (00:37:36): 于是你开始理解这个国家看重什么。
KUNAL SHAH (00:37:40): 例如,我注意到许多父权制社会的金融服务市值相对于消费要大得多。
KUNAL SHAH (00:37:50): 这些宏观模式,你会开始用截然不同的方式去思考。
LENNY RACHITSKY (00:37:55): 好多收获。
LENNY RACHITSKY (00:37:56): 我很喜欢”创始人是不确定性吸收者”这个说法。
LENNY RACHITSKY (00:38:00): 你提到的另一点,关于 Zuck 化身 Shiva 进行破坏,这让我想起 Brian Chesky 和我聊过的话题——创始人往往一开始掌控一切,事必躬亲,亲自驾驶这艘船。
LENNY RACHITSKY (00:38:13): 然后随着公司成长,他们开始下放权力、赋能团队,接着事情开始变慢,然后他们又回来,扮演 Shiva,重新夺回控制权。
LENNY RACHITSKY (00:38:23): 你对这种现象有什么观察吗——
创造、维系与毁灭的循环
KUNAL SHAH (00:38:25): 是的,但这就是宇宙的规律。
KUNAL SHAH (00:38:26): 宇宙经历的正是相同的阶段。
KUNAL SHAH (00:38:28): 如果你研究印度神话,你会看到 Brahma、Vishnu、Mahesh 的循环,每一个 yugg——他们是这么叫的——都会经历这三个阶段,周而复始。
LENNY RACHITSKY (00:38:38): 真美。
LENNY RACHITSKY (00:38:39): 我明白了。
LENNY RACHITSKY (00:38:39): 所以这是不可避免的。
LENNY RACHITSKY (00:38:41): 这就是生命的循环。
LENNY RACHITSKY (00:38:42): 完全同意。
LENNY RACHITSKY (00:38:43): 太棒了。
LENNY RACHITSKY (00:38:44): 我很喜欢你总是能把一切回归到你的哲学背景上。
LENNY RACHITSKY (00:38:47): 我很喜欢。
LENNY RACHITSKY (00:38:47): 很美。
LENNY RACHITSKY (00:38:49): 本集节目由 Dovetail 带来,面向产品团队的客户洞察中心。
LENNY RACHITSKY (00:38:54): 你是在一个”功能工厂”里做着没人要的东西吗?
LENNY RACHITSKY (00:38:59): 大概率是的,因为令人沮丧的事实是,大多数 SaaS 功能很少或从未被使用,每年给行业造成数十亿的损失。
LENNY RACHITSKY (00:39:07): 让我们改变这一切。
LENNY RACHITSKY (00:39:08): 产品经理们,Dovetail 正在举办他们的首届行业大会,叫 Insight Out,他们邀请你来旧金山参加这个为期一天的会议。
LENNY RACHITSKY (00:39:18): 产品社区汇聚一堂,学习如何更好地利用客户洞察,打造人们真正喜欢使用的产品。
LENNY RACHITSKY (00:39:25): 时间是 4 月 11 日,你可以听到来自 Uber、Twitch、Meta 和 Netflix 的产品负责人分享他们推动创新、在不确定性中蓬勃发展、以及平衡以客户为中心的工作与业务需求的策略。
LENNY RACHITSKY (00:39:39): 最妙的是,线上门票完全免费。
LENNY RACHITSKY (00:39:43): 只需前往 dovetail.com/lenny 注册即可。
LENNY RACHITSKY (00:39:47): 感谢 Dovetail 的赞助——Dovetail 是产品团队充分利用客户洞察的最佳方式。
LENNY RACHITSKY (00:39:52): 请前往 dovetail.com/lenny 了解详情。
LENNY RACHITSKY (00:39:56): 好的。
LENNY RACHITSKY (00:39:56): 来说说 CRED。
LENNY RACHITSKY (00:39:57): 有件有趣的事。
LENNY RACHITSKY (00:39:58): 我在 Twitter 上问大家想在这个播客里问你什么问题,最常见的之一就是”你觉得你们什么时候能盈利?”
LENNY RACHITSKY (00:40:06): 这很有意思,因为当我采访其他 CEO 时——大多数公司都不盈利——却没有人问这个问题。
LENNY RACHITSKY (00:40:14): 所以我很好奇,为什么这个问题会这么频繁地出现?
印度市场对亏损创业公司的质疑
KUNAL SHAH (00:40:17): 很有意思。
KUNAL SHAH (00:40:19): 确实很有意思。
KUNAL SHAH (00:40:21): 作为一个国家,我们大多数生意都是贸易型的——低价买入,高价卖出,赚取利润。
KUNAL SHAH (00:40:30): 我们大多数生意、大多数家族生意都是贸易。
KUNAL SHAH (00:40:35): 但建设一个资本开支密集的分销网络,之后再变现,专注于高收入增长率而非先追求盈利——这条路我们并不熟悉。
KUNAL SHAH (00:40:47): 所以当他们看到这些巨额亏损数字时,会感到震惊。“为什么会有人给你这么多钱?”
KUNAL SHAH (00:40:56): 顺便说一句,我自己的爸爸也是直到我创办了一家盈利的公司才开始尊重我。
KUNAL SHAH (00:41:01): 所以印度人有这样的评论并不意外,但这也源于他们不理解互联网世界的企业是怎么建立的——在这个世界里,VC 给你资金来建设分销网络、独特的产品壁垒、品牌,所有这一切,然后再变现,而且是大规模变现,然后去追逐非常大的利润池。
KUNAL SHAH (00:41:23): 但很多时候这源于对这种商业模式的不理解,我觉得这会改变,因为现在很多互联网公司已经变得非常盈利,而且已经公开上市。
KUNAL SHAH (00:41:36): 所以我们会有一个十年窗口。
KUNAL SHAH (00:41:39): 让我们理解一件事。
KUNAL SHAH (00:41:40): 在美国,可能 27-30% 的市值现在是科技公司。
KUNAL SHAH (00:41:46): 而在印度,科技公司的市值可能不到 2-3%。
KUNAL SHAH (00:41:51): 所以我们主要——而且我不是说印度有建设非常、非常盈利的科技公司的辉煌历史。
KUNAL SHAH (00:41:57): 我们可能是第一代需要证明自己能成为非常大规模盈利公司的人。
KUNAL SHAH (00:42:02): 但我们仍在摸索这意味着什么。
KUNAL SHAH (00:42:05): 而且这个问题——顺便说一句,我可以告诉你一件事——在 Twitter 上问我这个问题的人,比我的任何投资人问我的次数都多。这同时也为那些真正有能力创业、能够融资、并以非常高的收入增长率来验证商业模式、建设大品牌等等的创业者创造了一种套利机会。
KUNAL SHAH (00:42:29): 但我也觉得很有意思。
嫉妒是超局域的
KUNAL SHAH (00:42:32): 另外,我们在印度还看到一个很有意思的现象:无论你做什么,评论区都会涌来海量的喷子和质疑。
KUNAL SHAH (00:42:42): 如果你看印度任何一个创始人,他们发一条动态,评论区几乎不会有赞赏。
KUNAL SHAH (00:42:50): 这让人挺难过的,因为当你看到全球公司发布产品时——印度人对 Apple Vision Pro 之类的东西会兴奋得不得了,Twitter 上也会疯狂讨论。
KUNAL SHAH (00:43:01): 但我觉得当涉及到……而且我相信嫉妒是超局域的。
KUNAL SHAH (00:43:08): 我们不会嫉妒 Elon Musk 做的那些事,因为他离我们太远了。
KUNAL SHAH (00:43:13): 但我们嫉妒自己人,因为就在没几年前,他们和我们一模一样。
KUNAL SHAH (00:43:19): 所以嫉妒就像 Wi-Fi。
KUNAL SHAH (00:43:23): 它是一个超局域的服务。
创始人如何面对质疑
LENNY RACHITSKY (00:43:25): 你是如何保持积极和专注,不让这些东西影响你的?
LENNY RACHITSKY (00:43:31): 对印度那些面对类似反馈的创始人,你有什么建议?
KUNAL SHAH (00:43:35): 有趣的是,我接到过很多创始人的电话,他们一被网暴就来找我,因为他们看着我挨骂挨了更多年。
KUNAL SHAH (00:43:45): 我告诉他们,如果我们当初在意所有人的批评,而不是那些比我们做得更好的人的批评,我们走不到今天这一步。
KUNAL SHAH (00:43:58): 如果某个比我做得更好的人给我任何批评,我一定会彻底翻转,做出所有改变,实现进化。
KUNAL SHAH (00:44:08): 我一直在向人们寻求反馈。
KUNAL SHAH (00:44:12): 但如果我开始接受每一个不理解细节、对我的事情没有共情的人的反馈——我不是说不应该听取客户反馈,那完全是两回事。
KUNAL SHAH (00:44:19): 但比如说,有人评论你的生意,却根本不理解其中的细节,你不能对每件事都做出反应。
KUNAL SHAH (00:44:27): 我经常跟人说,低化合价的元素被称为惰性气体是有原因的——因为它们最难发生反应。
LENNY RACHITSKY (00:44:38): 这个超出我的理解范围了,但我还是觉得很妙。
LENNY RACHITSKY (00:44:42): 太有意思了。
LENNY RACHITSKY (00:44:43): 你指出的这些在印度创业的独特之处让我着迷。我觉得美国人对这些一无所知。
LENNY RACHITSKY (00:44:49): 所以我很感谢你分享这些细节。
LENNY RACHITSKY (00:44:53): 在我们转向其他话题之前,关于印度市场还有什么会让人意想不到的东西吗?
印度仍然是最有前景的市场
KUNAL SHAH (00:44:59): 尽管有这么多挑战,印度目前依然是最有前景的市场,因为一切都在朝有利于我们的方向发展。
KUNAL SHAH (00:45:07): 我们有各种数字公共基础设施、政府支持,还有许多优秀的人在做非凡的事情——抛开 Twitter 上的噪音不谈。
KUNAL SHAH (00:45:17): 而 Twitter 本身就是为愤怒获得点赞而设计的。
KUNAL SHAH (00:45:21): 所以我不太把它当回事。
KUNAL SHAH (00:45:23): 但我认为我们所有人都在做得不错,因为我们有一个成熟的生态系统在全力支持我们,真正推动着一切向前。
KUNAL SHAH (00:45:34): 所以我不想在任何其他地方创业,因为这里有极其活跃、疯狂的机会,让人可以从中学习。
KUNAL SHAH (00:45:43): 不过,我经常希望能有机会去 Brian 那里实习一个月,学习他是怎么做事情的。
KUNAL SHAH (00:45:51): 但我从来没有这个福气。
KUNAL SHAH (00:45:53): 我只能看他在你的播客里的访谈来学点东西,但如果我能有机会亲自去呢?
KUNAL SHAH (00:45:58): 而我遗憾的就是,我从来没有真正接受过这些卓越的产品大脑的训练,甚至没有观察过他们如何做决策。
KUNAL SHAH (00:46:08): 所以我最近发了一条帖子——“手术室”(operation theater)这个词的由来,是因为手术曾经是一个公开的过程,人们曾经花钱去看手术,看那些血淋淋的场景,甚至是在麻醉诞生之前。
KUNAL SHAH (00:46:21): 观看一个人施展技艺,其中有极大的乐趣。
KUNAL SHAH (00:46:26): 我真希望能有一个剧院,看 Brian 做产品决策,看 Zuck 做出砍掉一个产品的艰难决定,或者看 Tim 在产品 GTM 之前否决所有的创意。
KUNAL SHAH (00:46:42): 我觉得我们能从中受益匪浅。
KUNAL SHAH (00:46:45): 但不幸的是,这些始终局限在非常小的圈子里。
KUNAL SHAH (00:46:47): 就像我说的,我之所以说你做得非常出色,是因为你在消除一些信息不对称,让这些知识变得更加民主化。
KUNAL SHAH (00:46:54): 但我们能学到的还有太多太多。
KUNAL SHAH (00:46:57): 我非常羡慕那些有机会与最顶尖的人共事的人,因为,我们很多来自印度的人从来没有这种奢侈。我们必须自己摸索一切。
LENNY RACHITSKY (00:47:10): 哇。
LENNY RACHITSKY (00:47:10): 那该有多酷,如果能在那些会议里放一台摄像机,单纯作为一种学习体验,因为极少有人能进入那些房间,而有太多值得学习的东西。
LENNY RACHITSKY (00:47:21): 不过我觉得人们会发现问题——“天哪,第一,原来决策是这样做的,这是怎么回事?”
LENNY RACHITSKY (00:47:26): 第二是,“我不想给这个人工作。”
LENNY RACHITSKY (00:47:29): “听起来非常困难和有压力。”
LENNY RACHITSKY (00:47:33): 这些大概就是会浮现出来的收获。
好奇心的力量
LENNY RACHITSKY (00:47:36): 顺着这个话题,在你的演讲和作品中经常出现的一个主题是好奇心。
LENNY RACHITSKY (00:47:43): 你有一档节目叫 CRED curious。
LENNY RACHITSKY (00:47:46): 你经常谈到好奇心的力量。
LENNY RACHITSKY (00:47:48): 我就是很好奇,为什么好奇心对你来说如此重要,为什么对其他人来说始终保持好奇心也很重要,它的价值到底在哪里?
KUNAL SHAH (00:47:57): 我觉得,一个有好奇心的人,会不断展现出他并不以自己的专业为傲,而且当面对一个完全不知道如何解决的问题时,他会展现出极大的兴奋。
KUNAL SHAH (00:48:17): 因此很多人停止了成长,因为他们想要不断展示自己的专业能力,而不是展示自己的好奇心。
KUNAL SHAH (00:48:27): 因为,好奇心应该源自安全感——想象一下,我是这家公司的创始人、CEO,在这个60人的 WhatsApp 群组里,有人发了条消息问了一个很蠢的问题:“这个词是什么意思?”
KUNAL SHAH (00:48:41): 你需要有足够的安全感才能对此坦然接受,但很多人出于不安全感,试图展示自己的专业能力,或者自己去 Google 搜索而不去问这些人。
KUNAL SHAH (00:48:52): 我觉得这会减缓你的复利式成长,也会阻碍你变得非常善于适应。
KUNAL SHAH (00:49:02): 所以很有意思的是,我最近……GPT 是我最喜欢用来问各种随机问题的工具,因为现在我不需要担心 Google 上有没有这些问题的答案了,我可以直接问 GPT。
KUNAL SHAH (00:49:12): 所以我最近问了一个问题:哪些物种或动物在不发生太大变化的情况下存活了超过一亿年,它们有什么共同点?
KUNAL SHAH (00:49:22): GPT 给出了一个很有意思的答案:鲨鱼、鲎、鳄鱼,所有这些动物都靠以下几点存活至今。
KUNAL SHAH (00:49:34): 三个显著特征是:第一,能够随意降低新陈代谢的能力。
KUNAL SHAH (00:49:43): 这非常迷人。
KUNAL SHAH (00:49:45): 它们可以把新陈代谢降低到原来的二十分之一,或者以一个疯狂的、不可思议的幅度降低新陈代谢。
KUNAL SHAH (00:49:54): 顺便说一下,古代的瑜伽修行者也展示过这种能力。
KUNAL SHAH (00:50:00): 这来自同样的瑜伽修行传统。
KUNAL SHAH (00:50:02): 第二点是——而如果你联想到公司,道理是一样的。
KUNAL SHAH (00:50:06): 如果 COVID 来了,你可以降低你的新陈代谢活下来,对吧?
KUNAL SHAH (00:50:12): 否则你就会烧光一切,然后消失。
KUNAL SHAH (00:50:16): 第二个有趣的特点是,每一次觅食尝试都有极高的转化率。
KUNAL SHAH (00:50:25): 它们不会到处随机追逐、盲目行动。
KUNAL SHAH (00:50:27): 它们有极高的转化率,这意味着判断力极强,而且咬合力最为致命。
KUNAL SHAH (00:50:35): 所以它们不会追逐很多目标,但一旦追逐,就会有最大的咬合力,并且将其转化。
KUNAL SHAH (00:50:41): 第三点更有意思,它们挺过了各种疯狂的环境变化,靠的就是适应。而适应力源自好奇心。
KUNAL SHAH (00:50:56): 你可以看到这两类人。
KUNAL SHAH (00:50:57): 在 COVID 期间,有一类人完全缩进了壳里,还有一类人充满好奇。
KUNAL SHAH (00:51:03): “好,那我该怎么办?”
KUNAL SHAH (00:51:05): “现在会发生什么?”
KUNAL SHAH (00:51:06): “我需要改变什么吗?”
KUNAL SHAH (00:51:07): “我需要调整什么吗?”
KUNAL SHAH (00:51:09): 就是这种快速改变的能力。
KUNAL SHAH (00:51:13): 我常常觉得,好奇心就是那种展现适应和学习能力的表现,而且你只会创造更多的信息不对称。
KUNAL SHAH (00:51:25): 对我来说,财富无非就是信息不对称。
KUNAL SHAH (00:51:27): 世界上所有最好的公司都拥有不公平的信息不对称优势。
KUNAL SHAH (00:51:33): 而这源自好奇心。因为你在不断地收集点、连接点、收集点、连接点,最终为自己创造出独特的优势和信息不对称。
KUNAL SHAH (00:51:48): 如果你假设”我已经收集得够多了”,没有任何人的一生能够把所有的点都连接完。
KUNAL SHAH (00:51:56): 我们永远无法做到……
KUNAL SHAH (00:51:58): 有时候我羡慕你所做的事情,因为你有幸能与所有这些人交谈,从而高效地连接和收集点,你让更多的点被连接了起来。
KUNAL SHAH (00:52:12): 所以你的信息不对称在不断扩大。
LENNY RACHITSKY (00:52:14): 等你 IPO 了,然后有一天也许离开 CRED,你就可以开一档这样的播客,和所有人对话,把所有的点都连接起来。
LENNY RACHITSKY (00:52:22): 我觉得这让我想到 Danny Meyer,他是很多高级餐厅的创始人,非常注重待客之道,他有句话叫”始终在收集点”(Always be collecting dots),我想是 ABCD,我会附上链接。
LENNY RACHITSKY (00:52:33): 对。
LENNY RACHITSKY (00:52:35): 好。
LENNY RACHITSKY (00:52:35): 等等,这真的很有意思,就是那些最长寿动物的共同特征是什么这个清单?
LENNY RACHITSKY (00:52:41): 它们可以随意降低新陈代谢,觅食转化率极高,而且挺过了多种类型的环境变化。
LENNY RACHITSKY (00:52:49): 我觉得正如你所做的,这里面有太多可以迁移到创业公司和领导者身上的东西了。
LENNY RACHITSKY (00:52:54): 这完全可以单独成为……
LENNY RACHITSKY (00:52:55): 如果你还没写过这个话题,这会是一篇很酷的博客文章。
LENNY RACHITSKY (00:52:59): 我很好奇,在商业领域你崇拜谁,无论在印度还是印度之外。
LENNY RACHITSKY (00:53:05): 你脑海中会浮现出谁,让你觉得”我真的很受这些人启发”?
KUNAL SHAH (00:53:10): 我经常告诉别人,我讨厌”最喜欢”这个词,因为它会让我的思维变得局限。
KUNAL SHAH (00:53:16): 所以我尽量远离”最喜欢”,但我一直在向所有人学习。
KUNAL SHAH (00:53:22): 全世界、历史上、最近这些年,有太多可以学习的人。每次你都会发现他们身上迷人而非凡的特质。
KUNAL SHAH (00:53:35): 所以我不认为我有某一个特定的偶像。
KUNAL SHAH (00:53:38): 我是那种会思考”他们是怎么解决这个难题的”的人。
每月复盘:你解决了什么难题?
KUNAL SHAH (00:53:42): 我们最近开始做的一件事——虽然还没有形成固定仪式——是我让我自己和核心下属每个月围坐一圈,问自己一个问题:“上个月我们解决的最难的问题是什么?”
KUNAL SHAH (00:54:00): 而要给出一个答案其实很难。
KUNAL SHAH (00:54:04): 如果你对产品负责人也这样做,就挨个问:“你上个月解决了什么难题?”
KUNAL SHAH (00:54:11): 你会发现我们所有人都非常忙碌,但产生真正的位移很难。
KUNAL SHAH (00:54:15): 但如果你留意那些格外成功的人,他们每个月、每个季度都有多得多的内容可以谈,因为他们痴迷于制造那种大的位移,而这不是靠忙碌得来的。
KUNAL SHAH (00:54:35): 而且还有一点,你无法直接追逐那个大目标。
KUNAL SHAH (00:54:37): 你不会看到鳄鱼忙忙碌碌。
KUNAL SHAH (00:54:40): 你看到鳄鱼只是耐心地守在水坑边,等待那顿最好的猎物,然后用最致命的一咬来解决它。
KUNAL SHAH (00:54:49): 所以我读到过关于捕食者的一个精彩定义:“用最少的卡路里消耗换取最多卡路里收入的那一个。”
KUNAL SHAH (00:54:59): 那你怎么成为那样的存在?
KUNAL SHAH (00:55:00): 我认为当我遇到在这方面格外卓越的人时——他们以各种形态出现——我就会从他们身上学到东西。
LENNY RACHITSKY (00:55:07): 那在这些会议中,你是不是以人们解决了多少难题来评判他们的成功?
LENNY RACHITSKY (00:55:13): 他们听了这番话之后,肯定会想:我得多拿出点东西来。
KUNAL SHAH (00:55:17): 因为如果你是资深人员,资深人员的角色是什么?
KUNAL SHAH (00:55:21): 你必须成为首席问题解决者。
LENNY RACHITSKY (00:55:24): 我喜欢这个说法。
LENNY RACHITSKY (00:55:24): 我经常把领导者看作职业消防员,总有灭不完的火。
学习方法:猜想与求证
LENNY RACHITSKY (00:55:31): 顺着人和学习来源这个话题,你有什么推荐的内容来源吗?
LENNY RACHITSKY (00:55:36): 这其实是 Twitter 上一个听众的问题。
LENNY RACHITSKY (00:55:38): Anurag Verma 问的是:“在了解世界上正在发生什么以及应该关注什么方面,你最喜欢的内容来源有哪些?”
KUNAL SHAH (00:55:47): 我希望我能想到一个答案。
KUNAL SHAH (00:55:50): 我收集信息的方法基本上是,我会在脑海中提出猜想,然后到处去找证据,看我说的到底对不对。
KUNAL SHAH (00:56:04): 比如,我最近提出了一个猜想:在商业史上的所有恶行行业中,每一个成功的人最终都做了大量慈善来为自己塑造良好形象,因此被视为受人尊敬的公民,而不是一个靠恶行敛财的人。
KUNAL SHAH (00:56:24): 然后我让 GPT 列出 50 个做过这种事的人,他们的恶行分别是什么?
KUNAL SHAH (00:56:30): 他们如何通过大量慈善等方式改变了自己的声誉?
KUNAL SHAH (00:56:36): 然后就会有新的发现。
KUNAL SHAH (00:56:37): 然后我会从各个方向展开研究。我不设边界——不管是化学、物理还是人类行为,我都要去发现某些普适原则。
KUNAL SHAH (00:56:48): 所以我的学习方法就是不断从已经连接的节点中提出猜想,然后拼命去找证据,再用它去连接下一个节点。
KUNAL SHAH (00:57:01): 所以我经常告诉别人,你读的每一本书都会让你的大脑在读下一本书时变得更贫乏。
KUNAL SHAH (00:57:10): 这正是书的目的,但我们学到的每一样东西其实都是如此。
KUNAL SHAH (00:57:13): 它都会让我们的大脑对下一个该学的东西变得更贫乏。
钻石、珍珠与二阶效应
LENNY RACHITSKY (00:57:17): 最近有没有一个例子,让你深深沉迷于某个话题?
KUNAL SHAH (00:57:20): 这就是我的日常生活。
KUNAL SHAH (00:57:22): 我时不时就会沉迷于某个话题。
KUNAL SHAH (00:57:26): 比如,我一直在思考 AI 的二阶效应——对国家和就业会发生什么,如何预判其中哪些会变、哪些不变,变化的速率,技能更替的速率。
KUNAL SHAH (00:57:39): 我最近着迷于一个问题:如果实验室培育钻石做大后会怎样?
KUNAL SHAH (00:57:44): 它会摧毁钻石吗?
KUNAL SHAH (00:57:44): 还是会把钻石市场做得更大?
KUNAL SHAH (00:57:46): 然后我去找了类比案例。
KUNAL SHAH (00:57:48): 珍珠产业在养殖技术出现之前非常庞大。
KUNAL SHAH (00:57:53): 养殖珍珠出现后,珍珠的高地位就消失了,因为人人都能拥有珍珠。
KUNAL SHAH (00:57:59): 但在不久之前,珍珠还是一种非常王室的东西。每位王子和公主身边都有珍珠环绕,但一旦它可以在实验室里轻松制造,就失去了价值。
KUNAL SHAH (00:58:13): 然后我就想,我应该做空还是做多钻石,思考接下来会发生什么?
KUNAL SHAH (00:58:19): 但会有一段时期,实验室培育钻石可以赚很多钱,而这会变得寄生性的——它会寄生在钻石的地位上,然后摧毁所有的利润池。
LENNY RACHITSKY (00:58:31): 你在这里率先听到了,是时候买点钻石期货了。
LENNY RACHITSKY (00:58:35): 我觉得全世界没有谁比 ChatGPT 对你的影响更大了,考虑到你多么喜欢深挖各种随机话题。
好问题的力量
KUNAL SHAH (00:58:43): Lenny,我经常想,如果把那些最认真的人的 GPT 搜索记录公开,很多人会从中受益。因为 GPT 时代的问题是,它会让那些善于提出好问题的人表现优异,而不是那些只会找基础答案的人。
KUNAL SHAH (00:59:00): 所以我认为这个世界会对那些能提出好问题的人更加有利。
LENNY RACHITSKY (00:59:05): 有意思。
LENNY RACHITSKY (00:59:06): 好的。
LENNY RACHITSKY (00:59:06): 那我得问你,关于提出好问题,你有什么建议吗?在你的工作、职业和生活中,什么方法帮助了你?
KUNAL SHAH (00:59:14): 每当一个人有很多选择,而他在某个领域做出了正确的选择。
KUNAL SHAH (00:59:21): 比如,假设你可以雇佣任何人,但你雇到了优秀的人;或者你可以娶/嫁任何人,但你娶/嫁了一个出色的人,以此类推。每个人都有很多选择要做。
KUNAL SHAH (00:59:32): 在他们的专业领域中,他们是如何做出选择的?
KUNAL SHAH (00:59:38): 我认为这是最——而且很多时候他们自己也没法解释自己是如何做出优秀选择的。
KUNAL SHAH (00:59:43): 你必须真正深入去探究,因为他们其实并没有把自己的心智模型梳理清楚。
KUNAL SHAH (00:59:49): 他们无法表达,无法传授,无法解释。
KUNAL SHAH (00:59:51): 但如果你能弄清楚他们在各自的工作领域中,总体上是如何做出优秀决策的,你会发现其中有很多有趣的洞见。
KUNAL SHAH (01:00:01): 另一个值得问的好问题是关于二阶思维的。
KUNAL SHAH (01:00:06): 他们认为世界会发生什么变化,以及他们为什么得出那个结论?
KUNAL SHAH (01:00:11): 你会发现那整条思维链条是非常强大的。
KUNAL SHAH (01:00:15): 例如,二阶思维被认为是预测一个人能否成功的最强特质。
KUNAL SHAH (01:00:22): 但我经常好奇,那些在二阶思维上表现出色的人,他们的童年经历了什么。
KUNAL SHAH (01:00:30): 这个问题还没有被充分发现或讨论。
KUNAL SHAH (01:00:34): 我找到了一些松散的例子,比如你是否玩过策略游戏,或者只玩体力游戏——这与培养(特定能力)有很强的相关性。
KUNAL SHAH (01:00:42): 所以毅力来自体力游戏,而二阶思维来自小时候玩策略游戏。
KUNAL SHAH (01:00:48): 如果你两者都有,通常就能表现得很出色,因为纪律性和二阶思维结合在一起了。
深度追问与”为什么”的力量
KUNAL SHAH (01:00:55): 那你是否曾有过研究历史的练习?
KUNAL SHAH (01:01:01): 比如,我建议家长和孩子一起做的一件事,我称之为”为什么学校”——每顿饭问他们一个”为什么”的问题,让他们第二天带着答案回来。
KUNAL SHAH (01:01:15): 比如,“人类为什么佩戴首饰?“以及”为什么某个东西是现在这个样子的?”
KUNAL SHAH (01:01:23): 让他们深入历史的长河中去寻找答案。
KUNAL SHAH (01:01:29): 为什么在超级碗上打广告那么贵?
KUNAL SHAH (01:01:32): 诸如此类。
KUNAL SHAH (01:01:33): 你只需要提一个问题。
KUNAL SHAH (01:01:34): 如果你用”为什么”来训练他们,他们的成长速度会截然不同。因为”怎么做”和”是什么”这类问题不会带来那么快的提升——“为什么”才是深层问题,它会击碎你脑中很多东西。
KUNAL SHAH (01:01:48): 或者另一个关于起源故事的问题:“电梯是怎么出现的?“以及”你的手机是怎么诞生的?”
KUNAL SHAH (01:01:54): “麦克风是怎么诞生的?为什么叫 microphone?为什么叫 phone?”
KUNAL SHAH (01:01:59): 如果你就这样深入下去,你会发现人们会自然而然地建立二阶思维——因为你要么走进历史,看到二阶思维在其中自然显现;要么玩那些能从不同维度训练你二阶思维的游戏。
KUNAL SHAH (01:02:13): 但这些都是我认为人们应该去追问的广泛领域。
LENNY RACHITSKY (01:02:17): 我很期待 Kunal 的育儿书,一本帮你养孩子的书。
LENNY RACHITSKY (01:02:23): 这可能是你的未来方向。
KUNAL SHAH (01:02:24): 我没有孩子,所以我可以在别人的孩子身上做实验。
KUNAL SHAH (01:02:27): 这倒是一件好事。
LENNY RACHITSKY (01:02:29): 我觉得有了这些问题,规则必须是——你不能直接问 ChatGPT 要答案,如果——
KUNAL SHAH (01:02:34): 其实这样也不坏。
KUNAL SHAH (01:02:36): 我认为应该鼓励,因为我们必须假设,我们今后都将是 AI 的协作者。
KUNAL SHAH (01:02:42): 你要做的是从中推导出二阶洞见——“好,这是事实。
KUNAL SHAH (01:02:46): 那在其他什么地方也有类似的规律?”
KUNAL SHAH (01:02:49): 给我一个在别处也能找到类似案例的例子,以此类推。
LENNY RACHITSKY (01:02:54): 太精彩了。
LENNY RACHITSKY (01:02:55): 好。
逆向角落
LENNY RACHITSKY (01:02:56): 在进入我们非常精彩的闪电问答之前,我还有最后几个问题。
LENNY RACHITSKY (01:03:00): 首先,让我们来到”逆向角落”。
LENNY RACHITSKY (01:03:03): 我很好奇。你有什么信念是很少有人会认同的?你为什么持有这个信念?
KUNAL SHAH (01:03:12): 我们对财富的理解,以及财富到底是什么,是有缺陷的。
KUNAL SHAH (01:03:16): 对我来说,财富无非是能量的储存。
KUNAL SHAH (01:03:20): 因此,财富之所以不是零和的,是因为能量就不是零和的——我们只不过是在不断找到将能量转化为我们所用的方式。
KUNAL SHAH (01:03:28): 我们是唯一一个成功将所有形式的能量转化为自身优势的物种。
KUNAL SHAH (01:03:32): 动能、燃料、声音、太阳能。
KUNAL SHAH (01:03:35): 没有其他物种做到过这一点。
KUNAL SHAH (01:03:37): 因此,自工业革命以来,我们的财富就是这样增长的,而且会继续如此。
KUNAL SHAH (01:03:42): AI、核裂变以及所有这些技术,会把我们推向那里。
KUNAL SHAH (01:03:47): 所以我有一个强烈的观点:我们永远不会、永远无法实现财富平等。
KUNAL SHAH (01:03:55): 事实上,追求财富平等本身就是一个糟糕的主意。
KUNAL SHAH (01:03:58): 但如果你让人们好好做事、追求财富,他们创造的财富足以惠及所有人,我们可以帮助很多人。
KUNAL SHAH (01:04:06): 我觉得这件事很复杂,因为我们可以提出各种民主论点说财富是集中的等等,但这就是财富的物理学。
KUNAL SHAH (01:04:16): 它永远会是集中的。
KUNAL SHAH (01:04:18): 改变的只是那些载体——公司、国家。
KUNAL SHAH (01:04:23): 对我来说,财富不过是一种熵增的复杂性,它会不断改变自身的形式和形态。
KUNAL SHAH (01:04:29): 你可以一直对抗它,或者接受它的物理学,并从中获益。
LENNY RACHITSKY (01:04:34): 我记得 Elon 有一个有趣的观点,他说财富就是一个数据库,每个人的财富就是数据库里的一行,记录着每个人拥有多少,你只是在来回转移数字,这就是整个经济。
KUNAL SHAH (01:04:49): 不,但有一个重要的细微差别——你实际上可以无限扩大这个数据库的规模。
LENNY RACHITSKY (01:04:54): 这倒是。
KUNAL SHAH (01:04:55): 因此他关于太阳能的愿景——如果你真的将所有能量都转化为我们的优势,我们为人类创造的财富将是天文数字。
KUNAL SHAH (01:05:04): 而所有那些成功协作合作来创造财富的物种——比如我们把财富定义为生物量。
KUNAL SHAH (01:05:12): 那么蚂蚁、细菌和人类是这颗星球上仅有的几个拥有最大生物量的物种,因为我们搞明白了如何让能量为我们所用。
失败的教训
LENNY RACHITSKY (01:05:23): 哇。
LENNY RACHITSKY (01:05:24): 我喜欢我们聊到的所有这些方向。
LENNY RACHITSKY (01:05:27): 大概最后一个问题——你的职业生涯中有没有什么失败的故事可以分享?
LENNY RACHITSKY (01:05:34): 某个给你上了重要一课的经历?
KUNAL SHAH (01:05:36): 是一连串的失败。
KUNAL SHAH (01:05:39): 我觉得任何做成过事情的人都不可能逃过失败——失败很多,每天,每件事。
KUNAL SHAH (01:05:46): 但我可以说,很多项目、很多产品、我创办的公司都彻底失败了,招聘失败,信任破裂,遭遇背叛。
KUNAL SHAH (01:06:01): 所以我觉得失败是没有尽头的。
KUNAL SHAH (01:06:04): 但我觉得创业者有一种奇怪的能力——他们会忘记失败,几乎把失败转化成一条保留的教训,而忘掉那个故事本身。
KUNAL SHAH (01:06:21): 比如,COVID 对我来说真的毫无记忆。
KUNAL SHAH (01:06:24): 我就是不记得 COVID 是什么了。
KUNAL SHAH (01:06:27): 现在我脑海里就是一片空白。
KUNAL SHAH (01:06:30): 我觉得人类很擅长遗忘失败的记忆,但会记住失败带来的教训。
KUNAL SHAH (01:06:36): 但我觉得我一直在学习,而且我常常认为,人生太短,不可能所有的错误都由自己来犯。
KUNAL SHAH (01:06:43): 所以我们也应该从别人的失败中学习。
KUNAL SHAH (01:06:46): 但很多时候我们并不这样做,因为我们相信自己与众不同,那样的事情不会发生在自己身上。但作为人类,我们应该不断学习。
KUNAL SHAH (01:06:55): 我会说,我的人生就是从一次失败开始的。
KUNAL SHAH (01:06:58): 我的家庭经历了一场严重的财务危机。
KUNAL SHAH (01:07:01): 我不得不从 15 岁就开始工作,至今我觉得自己仍在试图逃离家庭中发生的那次失败。
KUNAL SHAH (01:07:10): 所以我觉得我们中很多人都在与最初遭受的那次重大失败抗争,不想再靠近它分毫。
KUNAL SHAH (01:07:21): 尽管我们已经离那很远很远了,但那种感觉依然如故。
LENNY RACHITSKY (01:07:27): 这又回到了我们最开始几个问题之一——肩上的”不甘”驱动着大量的动力。
LENNY RACHITSKY (01:07:33): 有句话是这么说的,“肩上的不甘带来口袋里的筹码。”
KUNAL SHAH (01:07:39): 有意思。
LENNY RACHITSKY (01:07:40): 对。
LENNY RACHITSKY (01:07:40): 关于你早年遇到的挑战,还有什么想多分享的吗?还是说这些你已经经常谈到了?
KUNAL SHAH (01:07:46): 没有,这方面我已经说得够多了。以前我不太谈这些,因为我怕会因此得到一些同情。
KUNAL SHAH (01:07:54): 直到最近我才开始公开讲,因为我想让人们意识到,我并不是什么天赋异禀的孩子,没有什么富裕的父母把我培养得特别聪明、送进好学校好大学,然后我一路顺风顺水走过来的。
KUNAL SHAH (01:08:12): 以前我不谈这些,是因为人们很倾向于同情那些说”哦,这个人曾经很苦”的人。
KUNAL SHAH (01:08:17): 我不想因为打贫穷牌、打这牌那牌、打挨饿牌而获得任何功劳。
KUNAL SHAH (01:08:29): 那不是什么值得夸耀的事。
KUNAL SHAH (01:08:32): 世界上有那么多人正因为拥有”挣扎的馈赠”而取得了非凡的成就。
KUNAL SHAH (01:08:37): 我常跟人说,这是成功父母最大的诅咒——他们唯一无法给予孩子的,就是自己当年经历过的那份挣扎的馈赠。
LENNY RACHITSKY (01:08:46): 哇。
LENNY RACHITSKY (01:08:47): 我经常想这个问题。
LENNY RACHITSKY (01:08:47): 我们有个孩子,现在八个月大了,所以我正在琢磨如何在”挣扎”和”让生活轻松美好”之间找到平衡,这是一个我需要去摸索的新课题。
LENNY RACHITSKY (01:08:57): 在我们进入非常令人期待的快问快答环节之前,Kunal,你还有什么想分享或留给听众的吗?
LENNY RACHITSKY (01:09:02): 有什么吗?
LENNY RACHITSKY (01:09:02): 最后的一点心得?
分享与学习
KUNAL SHAH (01:09:04): 我很希望来自不同产品领域的听众们,不要害怕同行的评判,大胆分享你们学到的东西,因为有许许多多的人正是因为你分享了你的成长和思考才得以学习。
KUNAL SHAH (01:09:22): 我相信还有更多人可以做出贡献。
KUNAL SHAH (01:09:25): 你的听众中有很多非常聪明的人。
KUNAL SHAH (01:09:28): 如果他们都能分享,世界上很多地方的人都能从中学习,并获得某种程度的成功。
KUNAL SHAH (01:09:38): 感谢你们的分享。
KUNAL SHAH (01:09:39): 太棒了。
快问快答
LENNY RACHITSKY (01:09:40): 接下来,我们进入了非常令人期待的快问快答环节。
LENNY RACHITSKY (01:09:43): 准备好了吗?
KUNAL SHAH (01:09:45): 准备好了。
LENNY RACHITSKY (01:09:46): 开始吧。
LENNY RACHITSKY (01:09:47): 第一个问题:你向别人推荐最多的两三本书是什么?
KUNAL SHAH (01:09:53): 这个经常变,但我推荐的书通常都是关于理解人类行为的。
KUNAL SHAH (01:09:58): 我会根据不同的人来调整推荐,但我觉得这是最大的课题。
KUNAL SHAH (01:10:03): 我们所有的客户、所有的投资人、所有的员工、所有的关系,全都是人。
KUNAL SHAH (01:10:08): 而我们最薄弱的学科恰恰就是人类行为。
KUNAL SHAH (01:10:11): 以及我们该如何度过这一生?
KUNAL SHAH (01:10:13): 如果你不学习人类行为,你就是在以极难模式玩人生这场游戏。
KUNAL SHAH (01:10:17): 所以这是我想说的第一点。
KUNAL SHAH (01:10:19): 第二点,进化生物学能教给我们很多关于物种如何演化、如何做决策、什么是驱动每个人的核心动机的知识。
KUNAL SHAH (01:10:28): 所以这是我想推荐的另一个方向。
KUNAL SHAH (01:10:30): 我不想具体推荐某本书,因为说实话我自己都很少能把一本书读完。
KUNAL SHAH (01:10:36): 我更相信在各个主题中漫游、深入探索。
KUNAL SHAH (01:10:39): 所以关键是理解这些主题,而不是说”给我这三本书,我就万事大吉了”。
KUNAL SHAH (01:10:43): 最后一点我想说的是,任何能让你学到别人的”旅程”而非”成功”的东西。
KUNAL SHAH (01:10:53): 有时候自传在某种程度上过于歌功颂德了,但如果你能理解……任何能让你详细了解人们如何从挫折中恢复的书,都是值得学习的佳作。
LENNY RACHITSKY (01:11:11): Twitter 上有位听众实际上问了一个类似的问题——如果有一本书你可以一遍又一遍地反复读,那会是哪一本?
LENNY RACHITSKY (01:11:20): 有这样一本书吗?
KUNAL SHAH (01:11:21): 我完全不相信反复读同一本书,因为我相信我们在不断进化。
KUNAL SHAH (01:11:29): 你可能从不同的书中发现相同的内容,然后说,“哦,我又可以在大脑里把这个归类一次了。”
KUNAL SHAH (01:11:34): 但我觉得,反复重复会让我们变成信徒,变得太宗教化了。
LENNY RACHITSKY (01:11:47): 对。
LENNY RACHITSKY (01:11:49): 下一个问题:你最近有没有特别喜欢的电影或电视剧?
KUNAL SHAH (01:11:54): 我很喜欢《奥本海默》,因为其中的挣扎,以及 Nolan 的电影制作功力。但最近没有什么我觉得特别出色的。
LENNY RACHITSKY (01:12:05): 你有没有一个最喜欢的面试问题,喜欢问候选人?
KUNAL SHAH (01:12:11): 我喜欢问一个假设性的二阶思维问题。
KUNAL SHAH (01:12:15): 比如,如果所有接种过 COVID 疫苗的人今晚都死了,12 个月之后世界会变成什么样?
KUNAL SHAH (01:12:23): 你能解释这个世界会怎样吗——货币会怎样?法律会怎样?
KUNAL SHAH (01:12:28): 国家会怎样?
KUNAL SHAH (01:12:29): 军队会怎样?
KUNAL SHAH (01:12:30): 股市会怎样?
KUNAL SHAH (01:12:32): 既有的秩序会怎样?
KUNAL SHAH (01:12:35): 我应该说,在非常聪明的人中,也只有不到 10% 能给出很好的回答。
KUNAL SHAH (01:12:43): 所以这能告诉你他们的二阶思维能力如何。
KUNAL SHAH (01:12:48): 但问题可以不断变换。
KUNAL SHAH (01:12:49): 比如说,如果在印度禁止包办婚姻,搞包办婚姻会被判死刑呢?
KUNAL SHAH (01:12:57): 这个国家会变成什么样?
KUNAL SHAH (01:12:59): 从那以后会发生怎样的变化?
KUNAL SHAH (01:13:01): 比如一些荒诞的场景,但之后会发生什么?
LENNY RACHITSKY (01:13:05): 不是要泄露你的独门秘方,但你在回答中寻找什么,能让你判断出对方具备这种能力?
KUNAL SHAH (01:13:09): 他们能进入和思考的范围——如果发生了A,B会发生,然后C会发生。
KUNAL SHAH (01:13:18): 他们能做出的跨越。
LENNY RACHITSKY (01:13:20): 为了让大家更好地理解,你说的二阶思维,用最简单的方式怎么描述这个概念?
KUNAL SHAH (01:13:26): 我觉得最简单的理解方式是,能够尽可能准确地判断一个事件的蝴蝶效应。
KUNAL SHAH (01:13:37): 比如,股市里很多人用这个来判断股票的涨跌。
KUNAL SHAH (01:13:44): 市场上发生了某件事。
KUNAL SHAH (01:13:46): “哦,现在和俄罗斯打仗了,那市场会怎样?”
KUNAL SHAH (01:13:52): 你能擅长预测这个吗?
KUNAL SHAH (01:13:54): 但生活中的方方面面都是如此——如果发生了这件事……很多人讨厌这样想,因为这非常消耗脑力。
KUNAL SHAH (01:14:02): 大脑极其讨厌二阶思维,除非你一直在训练自己的大脑进行二阶思维,以至于它开始期待这种思考。
KUNAL SHAH (01:14:10): 所以你把这种思考从一个厌恶循环转化为了奖励循环,而这可能需要你在生命的早期就开始做。
KUNAL SHAH (01:14:19): 到了后期,人们讨厌进行二阶思维。
LENNY RACHITSKY (01:14:22): 确实。
LENNY RACHITSKY (01:14:23): 是的。
LENNY RACHITSKY (01:14:23): 听起来对大脑来说确实很费劲。
LENNY RACHITSKY (01:14:26): 好的。
LENNY RACHITSKY (01:14:26): 还有几个问题。
LENNY RACHITSKY (01:14:27): 你有没有最近发现的、特别喜欢的某个产品?
闪电问答:产品与人生哲学
KUNAL SHAH (01:14:32): 我正在期待我的 Vision Pro 很快到手。
LENNY RACHITSKY (01:14:37): 这是一个未来的最爱产品。
LENNY RACHITSKY (01:14:39): 实际上,我的下一期录制嘉宾是 Meta 的 Boz。
LENNY RACHITSKY (01:14:43): 我不确定节目播出的顺序,但我们会聊他的想法。
KUNAL SHAH (01:14:48): 我见过的最有趣的事,是 Zuck 谈论 Meta 的实用性比 Vision Pro 和他们的产品更好。
KUNAL SHAH (01:14:59): 而这恰恰会对 Apple 有利,因为当你试图让产品变得更实用时,它就失去了地位感。
KUNAL SHAH (01:15:08): 如果你研究动物,你会发现交配成功率最高的那个,是能展示出挥霍资源、不对资源精打细算的能力的那个。
KUNAL SHAH (01:15:20): 因此,以购买”浪费型”产品而闻名的人,实际上会拥有更高的地位。
KUNAL SHAH (01:15:26): 我觉得 Zuck 实际上让 Apple 很容易展示自己的优越定位,因为他说:“哦,我们没有那么高效,我们没有那么便宜。我们不是面向所有人的。”
LENNY RACHITSKY (01:15:37): 哇。
LENNY RACHITSKY (01:15:37): 即使在闪电问答环节,你依然在不断震撼我的认知。
LENNY RACHITSKY (01:15:42): 你有没有一个最喜欢的人生座右铭,经常和朋友家人分享,在工作或生活中觉得有用的?
KUNAL SHAH (01:15:50): 算不上最喜欢的座右铭,但我认为我们真的是转瞬即逝的,我们非常幸运能拥有现在的生命,我们必须充分利用它。
KUNAL SHAH (01:16:01): 所有这些挣扎到头来都会变得毫无意义。
KUNAL SHAH (01:16:05): 我经常告诉人们,你应该期望自己的人生如此精彩,以至于当你老了的时候,你收集了最多的素材,你的故事永远讲不完。
LENNY RACHITSKY (01:16:16): 这让我想起一本曾经对我影响很大的书,里面有人想把自己的生平拍成电影,制片人说:“没什么可拍的。这里没有好电影。你还没有做过足够有趣的事。”
KUNAL SHAH (01:16:27): 我喜欢这个。
LENNY RACHITSKY (01:16:29): 于是他转变了自己对人生该做什么的视角,开始思考什么能成就一个好故事。
LENNY RACHITSKY (01:16:36): 于是他开始去创造一个好故事——那种你克服挑战、实现你想要的目标的故事。
LENNY RACHITSKY (01:16:41): 这就成了他的人生座右铭。
LENNY RACHITSKY (01:16:43): “我要去做困难的事情并克服它们。这就是我的人生。”
KUNAL SHAH (01:16:47): 我喜欢。
KUNAL SHAH (01:16:47): 我喜欢。
KUNAL SHAH (01:16:47): 我太喜欢了。
LENNY RACHITSKY (01:16:48): 我会在节目说明里附上那本书的链接。
周一激励与告别
LENNY RACHITSKY (01:16:51): 最后一个问题,你在 Twitter 上有一个系列叫 Monday Motivations?
LENNY RACHITSKY (01:16:56): 我好奇最近是什么在激励着你?
KUNAL SHAH (01:16:58): 我发现互联网上充满了这些人,试图给出虚假的激励,然后从中赚钱。
KUNAL SHAH (01:17:04): 这几乎就像一种毒品,让人们觉得:“天哪,有了激励,我要做出成绩了。”
KUNAL SHAH (01:17:11): 我只是想提醒人们,所有的成功都来自非凡的痛苦、挣扎和努力,生活中没有任何实质性的东西是有捷径的。
KUNAL SHAH (01:17:22): 所以周一激励帖实际上是反激励帖,因为这个世界充斥着……我认为最近我见过的最大盈利模式,就是告诉人们要爱自己,然后他们会为此付你钱。
KUNAL SHAH (01:17:40): 而我认为爱自己的最好方式是持续进化。
KUNAL SHAH (01:17:44): 所以我的激励来自进化、连接点、解决比过去更难的问题。
KUNAL SHAH (01:17:51): 我认为人生归根结底是一场游戏,你想要感受到自己的等级在变化,自己的技能在不断变化。
LENNY RACHITSKY (01:17:59): Kunal,你太棒了。
LENNY RACHITSKY (01:18:01): 非常感谢你来到这里。
LENNY RACHITSKY (01:18:03): 最后两个问题。
LENNY RACHITSKY (01:18:03): 大家如果想在网络上找到你、跟进这些话题,可以在哪里找到你?
LENNY RACHITSKY (01:18:07): 听众怎样能帮到你?
KUNAL SHAH (01:18:09): 你可以在社交媒体上找到我。
KUNAL SHAH (01:18:10): 搜索 Kunal Shah,你在哪里都能找到我。
KUNAL SHAH (01:18:13): 我在每个社交媒体上的性格都不一样。
KUNAL SHAH (01:18:16): 至于如何帮忙,看到有趣的东西时请继续标记我,那些让你产生”天哪,我之前居然不知道这个”时刻的发现。
KUNAL SHAH (01:18:25): 我会很喜欢的。
LENNY RACHITSKY (01:18:27): 太好了。
LENNY RACHITSKY (01:18:28): Kunal,再次非常感谢你来到这里。
KUNAL SHAH (01:18:31): 非常感谢你邀请我。
LENNY RACHITSKY (01:18:32): 大家再见。
LENNY RACHITSKY (01:18:32): 78:34 非常感谢大家的收听。
LENNY RACHITSKY (01:18:35): 如果你觉得这期节目有价值,可以在 Apple Podcasts、Spotify 或你最喜欢的播客应用上订阅节目。
LENNY RACHITSKY (01:18:42): 也请考虑给我们评分或留下评论,因为这真的能帮助其他听众发现这个播客。
LENNY RACHITSKY (01:18:48): 你可以在 lennyspodcast.com 找到往期所有节目或了解更多关于节目的信息。
LENNY RACHITSKY (01:18:54): 下期再见。
术语表
| 原文 | 中文 |
|---|---|
| ARPU (Average Revenue Per User) | ARPU(每用户平均收入) |
| Boz | Boz(Meta 高管 Boz 即 Andrew Bosworth,保留原文) |
| Brahma | Brahma(印度教创造之神,保留原文) |
| Brian Chesky | Brian Chesky(Airbnb 联合创始人兼 CEO,保留原文) |
| CAC (Customer Acquisition Cost) | CAC(获客成本) |
| cap table | 股权表 |
| Chyavanprash | Chyavanprash(印度古老健康食品品牌,保留原文) |
| CPG (Consumer Packaged Goods) | CPG(快消品) |
| CRED curious | CRED curious(CRED 旗下好奇心主题节目,保留原文) |
| Danny Meyer | Danny Meyer(美国餐饮企业家、待客之道倡导者,保留原文) |
| DAU (Daily Active Users) | DAU(日活跃用户) |
| Delta 4 | Delta 4(效率差值框架,保留原文) |
| Devdutt Patnaik | Devdutt Patnaik(印度神话与管理学研究者,保留原文) |
| dharma | dharma(法,印度哲学核心概念,保留原文) |
| Dovetail | Dovetail(客户洞察平台,保留原文) |
| Elon Musk | Elon Musk(特斯拉/SpaceX CEO,保留原文) |
| Freecharge | Freecharge(公司名,保留原文) |
| IIT (Indian Institutes of Technology) | IIT(印度理工学院) |
| Insight Out | Insight Out(Dovetail 举办的行业大会名称,保留原文) |
| Jim Collins | Jim Collins(管理学家、《从优秀到卓越》作者,保留原文) |
| JP Morgan | JP Morgan(美国金融机构,保留原文) |
| Mahesh | Mahesh(即 Shiva 的另一称谓,印度教毁灭之神,保留原文) |
| MAU (Monthly Active Users) | MAU(月活跃用户) |
| Monday Motivations | Monday Motivations(Kunal Shah 在 Twitter 上的系列帖,保留原文) |
| Nolan | Nolan(电影导演,保留原文) |
| Oppenheimer | 《奥本海默》(电影名) |
| Satya | Satya(指 Satya Nadella,微软 CEO,保留原文) |
| second-order thinking | 二阶思维 |
| seed stage | 种子轮 |
| Sequoia | Sequoia(红杉资本) |
| Series A | A 轮 |
| Shiva | Shiva(印度教毁灭与重生之神,保留原文) |
| sovereigns | 主权基金 |
| Tata | Tata(印度最大综合性企业集团,保留原文) |
| Tim | Tim(指 Tim Cook,苹果 CEO,保留原文) |
| UBP (Unique Brag-worthy Proposition) | UBP(独特炫耀命题) |
| Vasco da Gama | 达伽马(葡萄牙探险家) |
| Vishnu | Vishnu(印度教维护之神,保留原文) |
| Vision Pro | Vision Pro(Apple 空间计算设备,保留原文) |
| yugg | yugg(印度神话中的时代周期,即 yuga,保留原文) |
| Zuck | Zuck(指 Mark Zuckerberg,Meta CEO,保留原文) |
此文档由 AI 分片翻译(translate_long_document)