0:00
Microsoft, Adobe, Alphabet, IBM, Palo Alto Networks, even Starbucks, the CEOs of these companies were all born in India and immigrated to the US.
Search this video
0:08
A lot of CEOs have done well because they follow the “dharma” of the founders quite well.
0:13
“These are the principles that were given to me and I'm going to sustain this and make it even bigger.
0:14
” I want to keep talking about India and how it's different and how to build products that are successful in India.
0:21
No Indian has ever been paid an hourly salary in their entire life.
0:24
The concept of time is not the same.
0:27
What do you see as the biggest opportunity for Indian startups?
0:30
India is changing because now, for the first time, we are seeing founders being respected and unicorns being celebrated.
0:36
We have a National Startup Day, and probably the first generation that will have to prove ourselves to be very large profitable companies.
0:42
I wouldn't want to be anywhere else building.
0:48
Today my guest is Kunal Shah.
0:51
Kunal is one of the most well-known and respected entrepreneurs and product leaders in India and around the world.
0:58
He shares endless wisdom on Twitter and LinkedIn where he has over 1 million followers.
1:03
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.
1:16
Prior to CRED, he founded three other startups including Freecharge, which he sold for over $400 million to Snapdeal.
1:23
Kunal is a deep thinker, both about product and about life.
1:27
His background is actually in philosophy, which comes across very clearly when you hear him share his advice.
1:34
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.
1:46
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.
1:56
Also, why companies in India can quickly grow DAUs but not ARPUs, and what that means for building products in India.
2:03
We also talk about how to stay curious and open-minded and the power of second order thinking.
2:07
Also, stories of failure, lots of contrarian takes and so much more.
2:13
If you enjoy this podcast, don't forget to subscribe and follow this podcast on your favorite podcasting app or YouTube.
2:18
It's the best way to avoid missing future episodes and it helps the podcast tremendously.
2:23
A big thank you to Cyan, my ET, for making the connection to Kunal.
2:27
With that, I bring you Kunal Shah after a short word from our sponsors.
2:33
This episode is brought to you by WorkOS.
2:36
If you're building a SaaS app, at some point your customers will start asking for enterprise features like SAML authentication and skim provisioning.
2:45
That's where WorkOS comes in, making it fast and painless to add enterprise features to your app.
2:51
Their APIs are easy to understand so that you can ship quickly and get back to building other features, and hundreds of other companies are already powered by WorkOS including ones you probably know like Vercel, Webflow and Loom.
3:03
WorkOS also recently launched AuthKit, a complete authentication and user management service.
3:09
It's essentially a modern alternative to Auth0, but with better pricing and more flexible APIs.
3:15
AuthKit's designed is stunning out of the box and you can also fully customize it to fit your app's brand.
3:21
It's an effortless experience from your first user all the way to your largest enterprise customer.
3:26
Best of all, AuthKit is free for any developer up to 1 million users. Check it out at workos. com/lenny to learn more. That's workos. com/lenny.
3:39
This episode is brought to you by Orb.
3:42
As a business, you care about revenue, but as a product team, the last thing you want to do is delay a product launch or a pricing change because your team has to rebuild billing from scratch.
3:51
Orb is a flexible usage-based billing engine that lets you evolve your pricing with ease.
3:57
The fastest-growing product teams at companies like Vercel and Replit trust Orb to power their pricing changes and launches.
4:04
Use Orb to ship product faster, stop worrying about billing, and evolve pricing with ease and control. Check it out at withorb. com/lenny.
4:14
And skip the line for demo or Sandbox by using promo code Lenny, that's withorb. com/lenny.
4:25
Kunal, thank you so much for being here and welcome to the podcast.
4:29
Lenny, thank you so much for having me, and a huge fan of everything that you do.
4:34
And like I said before, India is a huge beneficiary of what you do.
4:40
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.
4:49
So kudos to everything that you do.
4:51
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.
5:03
Wow, I really appreciate that.
5:04
This is already feeling great to me. I have a huge..
5:06
so it turns out this podcast has a huge audience in India, as do you.
5:12
And so I feel like this conversation is going to be really special and really meaningful to a lot of people.
5:18
I wanted to start with something very tactical.
5:20
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.
5:24
And this is actually how I discovered you initially; I heard about this thing, and I'm like, who's this guy Kunal Shah?
5:34
And look at us now, chatting.
5:36
Could you explain this framework briefly and then just how you've used it or how you recommend people apply it?
5:43
Oh, and by the way, it's called Delta 4.
5:45
I don't know if I even said the name.
5:47
Yeah, it's called the Delta 4 framework, but I think it's actually quite simple.
5:51
If you think about it, a lot of people say that your product has to be 10x better and it's not very measurable.
5:57
You don't know if you are 10x better or not unless you're delusional.
6:01
And the trigger for me was actually, I'm the unusual tech founder in India.
6:05
I'm the only humanities/philosophy major founder in India who's got into tech.
6:12
And I often wondered if most people who were my peers, or people who were ahead of me, were significantly smarter academically or otherwise.
6:21
And why did I become successful with my first startup, Freecharge, which I exited in 2015 for nearly $450 million?
6:28
And I was like, “What would make this happen?
6:28
” Because I would not qualify into this super league of really top IIT rankers that exist in India.
6:38
And that got me onto this philosophical quest to find out what makes things successful.
6:43
So the simple framework is, an example I give often is that, imagine the old way of taking a cab ride and an Uber.
6:47
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?
7:00
Yeah, give a cab three and then Uber like a nine. Yeah.
7:05
So every time you see that the product efficiency delta is greater than or equal to four, three things happen. It is irreversible.
7:16
Second is that you have a very high tolerance for it to fail.
7:22
If Uber fails a little bit, will you say, “Oh my God, I'm going to really stop using it? ” No.
7:31
And the third thing is what I call the UBP, ‘Unique Brag-worthy Proposition.
7:31
’ Every time humans unlock a Delta 4 product or service, they cannot stop talking or sharing about it.
7:46
And therefore all Delta 4 products will naturally have lower CAC or sometimes zero CAC because people, humans..
7:49
and think about it, Lenny, how you discovered Google, definitely not through an ad, definitely not through some performance marketing here and there.
7:57
Somebody showed you the demo and you were like, “Oh my God, this is crazy.
7:57
” 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.
8:12
But failure is the real problem.
8:15
And making everything tech does not make things more efficient. Let's take an example.
8:21
Buying a suit for yourself online versus offline, all tech, cool stuff, all the features built in.
8:30
What would you say the efficiency of buying a suit online is versus, let's say, buying a suit offline?
8:35
I've actually done that and it was a terrible fit. It did not fit at all.
8:39
And so it's efficient, but the end result was not, it's probably often not great.
8:45
So it's probably- Overall efficiency score, what would you give? Of buying a suit online? Yeah, versus offline.
8:53
I'd probably give it five and five.
8:56
Offline is actually probably a better experience. I give it a seven.
8:59
That's crazy because you've broken the principle, this is a tech product, but the efficiency is better offline.
9:06
And therefore when the delta is less than four, what you will discover is that it is reversible.
9:15
You will not see people bragging about it and you have zero tolerance for it.
9:21
So you're never going to buy a suit online.
9:21
I can tell you that right now.
9:25
So I think it's a simple framework.
9:28
I believe that if many companies applied..
9:28
I know now many VCs in the US use this as part of the training program for analysts.
9:38
Somebody 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.
9:46
I think it's a simple framework to at least know.
9:46
You can apply this to features, you can apply this to products, you can apply that to business.
9:54
And oftentimes this is a longer concept.
9:57
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?
10:10
” It's a day long podcast on its own. So some other time. Okay.
10:21
We'll save that for a future follow-up, just diving in on the psychology of Delta 4.
10:24
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.
10:32
They may feel like this is better than.
10:32
The classic example, is a better Excel.
10:36
Look, this is so much better than Excel.
10:38
It can do all these things.
10:39
You don't have to learn all these formulas.
10:41
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?
10:48
It has to be four points higher, otherwise no one's going to pay attention.
10:52
And I think it's pretty simple.
10:53
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. Absolutely. Okay.
11:01
I'm going to go in a totally different direction.
11:03
I want to talk about Indian CEOs in the US. Okay.
11:07
So today the CEOs of Microsoft, Alphabet, Adobe, which is a $250 billion company it turns out, IBM, which is a $170 billion company, Palo Alto Networks, which is a $100 billion company, even Starbucks, also a $100 billion company, I was looking that up.
11:25
And then also Twitter before Elon took over Twitter.
11:25
The CEOs of these companies were all born in India and immigrated to the US.
11:32
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.
11:41
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.
11:50
And I'm most curious, just what can we learn from that?
11:53
What can we learn from their success? It's a great question.
11:56
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.
12:07
So there are a few things that pop out.
12:10
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.
12:18
First is in general, immigrants that get out of the country usually have a chip on their shoulder in a very different way.
12:26
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.
12:37
They came from very, very humble backgrounds and literally no money to start with.
12:42
So I think that this force is real.
12:46
You can say that for many immigrants in general as well.
12:46
But appreciation for math in general, or logic which came to society in a big way, kind of gave.
12:55
Let's say for example, lots of engineering graduates come from only a few countries because society was bent towards early exposure to mathematics.
13:04
And I think that kind of helps create status that will get appreciated.
13:10
For example, being an engineer, a doctor...
13:10
As a philosophy major, I was a write-off for society.
13:16
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.
13:25
So the filtering criteria on its own is big.
13:28
But there's another interesting framework altogether, which I have actually learned from this gentleman, Devdutt Patnaik.
13:33
He applies Indian mythology and management principles together.
13:39
And it's an interesting thing.
13:39
There are three major Indian Gods.
13:43
One is Brahma, the God of creation, Shiva the God of destruction.
13:49
I'm generalizing here, but that's the classification.
13:51
And the third is Vishnu, the God of sustenance.
13:54
And their avatars-the word “avatar” comes from Vishnu who keeps changing avatars.
13:59
So we have Rama, Krishna, all these Gods are avatars of his.
14:04
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.
14:19
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.
14:25
He was known to be the naughty God and he could actually create lots of things.
14:36
And there is Rama, who is known to be the one who follows principles and is obedient.
14:41
So they will follow ‘dharma’ and scale on that.
14:45
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.
14:55
So these are the people that you don't want to be.
14:57
And what you notice is that a lot of CEOs have done well because they follow the ‘dharma’ of the founders quite well.
15:05
They have not diluted the dharma of the founders who have started these companies, and managed to sustain that.
15:13
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."
15:25
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.
15:41
And therefore we have the characters of Brahma and Shiva, the founder and destroyer. That's the thing.
15:48
But sustenance is the harder one.
15:51
And therefore our avatars keep happening over time and different hurdles come and then different levels come.
15:57
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.
16:07
They can play this consistently, and therefore they keep evolving and keep making these companies bigger and bigger.
16:14
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.
16:22
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.
16:32
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. Wow, what an answer.
16:47
What I love about this is this combination of using a two by two and Indian mythology.
16:47
It is like the microcosm of you, which is philosophy and tech.
16:58
And so I love that and it makes a lot of sense that that's where your mind goes.
17:02
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.
17:08
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.
17:20
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.
17:33
” 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."
17:50
And that's where the creative destruction starts happening. Interesting. Okay.
17:55
So you said that there's this good balance between Krishna and Rama that happens.
17:59
Can you just summarize where they are in that two by two?
18:02
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.
18:17
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. Amazing.
18:29
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? It's a great question.
18:40
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.
18:51
For example, I believe all bad behavior in humans comes from being short-term, and being long-term is a big choice to make.
19:04
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.
19:26
They’re more long-term oriented and about building a family, building values.
19:30
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.
19:34
” 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.
19:52
The US could use a lot of that these days.
19:55
You mentioned this interesting fact about how in India, most startups fail.
19:55
You said, I think, the classic stat is 90%, and that the risk is a lot higher to start a company and then fail.
20:08
Can you just talk about what impact that has?
20:11
How do people try to avoid that?
20:12
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?
20:20
I think long-term societies are naturally more risk-averse.
20:20
And not all great CEOs can become great founders for the same reason.
20:32
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.
20:45
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.
21:02
We have a National Startup Day and so on and so forth.
21:04
So I think there is a thing that has changed this, but let's understand the core human behavior.
21:11
India still has a large number of arranged marriages.
21:16
And if you are a founder and a failed founder, your chances of getting a person to marry is still hard to achieve.
21:25
So if this is all true, then the appetite to take risk will be curtailed.
21:33
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.
21:49
The next CEO is like, “So what have you done in the last five years? ” He's like, "Nothing.
21:53
I just tried to launch it but failed."
21:55
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."
22:00
So the guy who stayed on this stable brand within the CPG company kept growing, but that has natural tailwinds.
22:07
All he has to do is nothing in that brand.
22:10
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.
22:16
So we do not celebrate risk-takers as a country yet.
22:21
And I think we'll change that.
22:23
I think it's changing already, but we have a long way to go.
22:27
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.
22:39
There is only one more category that is allowed- the explorers.
22:47
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.
22:55
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. Super interesting.
23:06
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.
23:15
I saw in a different interview, you talk about how there's this big difference between DAUs and ARPUs.
23:19
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.
23:30
Could you just talk about why this is the case?
23:32
Why is it so much easier to get DAUs versus ARPUs?
23:36
I think ARPU is a function of per capita income of a country.
23:41
You cannot make $100 per user from a country for a product when their income is let's say $2,500 per year as an average for the whole country.
23:52
So what happens is many global companies love to come to India because we have the cheapest data, and very high smartphone penetration.
24:01
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.
24:16
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 $3 or $4 per user per year monetization in India.
24:28
But if you look at the user growth in India, it is huge.
24:32
So a lot of times for global companies, India becomes a great MAU farm but very low on ARPU.
24:41
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.
24:52
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. Yeah.
24:58
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.
25:17
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.
25:37
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. Absolutely.
25:50
One more thing is the value of time as a concept.
25:53
So one of the things you'll notice, Lenny, is that no Indian has ever been paid an hourly salary in their entire life.
26:00
But let me ask you a question.
26:01
What was your first ever job and how were you paid?
26:03
My first ever job, I was tutoring women about computers and passing Microsoft certification tests.
26:10
And I was paid, I'm pretty sure it was hourly.
26:12
Now most likely you'll remember what the hour rate income was.
26:16
And even though you've started making a lot more, you still have the concept of what the value of your one hour is.
26:23
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?
26:29
” Nobody will be able to answer, no matter what their job is.
26:36
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.
26:47
So when you're not paid an hourly salary, the concept of time is not the same.
26:53
And when the concept of time is not the same, paying for time is hard to do.
26:59
And therefore you'll see a lot of Indians who make, let's say, I don't know, maybe $100 an hour, but still spend an hour to spend $10 on a flight ticket because that's what it is.
27:10
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.
27:29
That is really interesting.
27:31
And you're saying that comes from just the fact that people never get paid hourly?
27:34
It's always a salary, and so people don't write down- The concept of valuing time.
27:40
Many Indian languages do not have a word for “efficiency. ” Wow.
27:45
And that's true for many Asian languages, the word for “efficiency” does not exist.
27:50
So then how do you value it if it's not in the vocabulary? Fascinating.
27:56
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.
28:09
“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.
28:14
” And your advice is in India and Asian markets in general, it's the opposite.
28:22
And I think it's because you make so little per user.
28:24
Could you talk about that? Yeah.
28:26
I think one is you make very little per user, so you have to do many things.
28:30
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.
28:44
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.
28:51
In India, you're only worried about “I'm going to pay for my thing.
28:51
” You don't even think about suing the coffee shop or even hoping that you'll get any money for that.
28:58
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.
29:09
What happens is there is concentration of trust.
29:11
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.
29:24
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.
29:33
” The joy of trying new things is not so high in low trust nations.
29:47
Wow, I'm learning a lot here. I didn't know all this.
29:49
So essentially the brand is even more, exponentially more important in Indian markets.
29:55
It's funny, but the oldest brand in the world is a brand called Chyavanprash.
30:00
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.
30:14
And lots of Indian businesses still have the name of the person behind it.
30:19
Even the US is like that.
30:20
JP Morgan, all these guys are not some fancy name.
30:23
They're the names of people.
30:25
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.
30:33
I want to zoom out a little bit before we go in a different direction.
30:36
What do you see as either the most pressing challenges in India right now for tech and/or the biggest opportunity for Indian startups?
30:47
And then just generally where do you think things will evolve in the next few years?
30:51
Sometimes I wonder if the challenges and the opportunities are exactly the same.
30:56
For example, one of the biggest challenges we have is, we have very low female participation of labor compared to many markets.
31:04
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.
31:13
You can actually create very interesting businesses for that.
31:16
Number two is we are low on per capita income.
31:23
So what AI can do instead of taking our jobs away, is just make us brighter.
31:29
Satya talks about how expertise is now available in the air.
31:29
So you can actually just ride on that and really make the world very equal in many many ways.
31:40
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.
31:52
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.
32:01
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.
32:11
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.
32:22
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.
32:34
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.
32:43
And I hope we don't go into a shell after having these large scale failures that we have not seen before.
32:50
India is not used to layoffs.
32:53
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.
33:03
So we are stuck between being somewhat of a collectivist or somewhat of an individualistic society. We are somewhere.
33:12
India is a great remix of everything.
33:15
I love this line you just shared of “inefficiencies is the largest employer in the world”. I totally get that. Okay.
33:24
So let's talk about CRED for a bit.
33:27
So you had, I think three startups before CRED? Okay.
33:31
And then you've been building CRED for about six years now.
33:34
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.
33:45
I think CRED's insight was actually quite simple.
33:47
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.
33:56
And they are a lot more global in their approach versus the rest of India.
34:01
So you have to build for them very differently.
34:04
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.
34:19
So I think having that conviction that, “I'm going to build only for these folks and this large enough market.
34:22
” Thankfully I had one success for somebody to bet.
34:30
So our series A was $25 million.
34:32
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.
34:39
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.
34:51
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.
35:00
There are lots of different lessons to learn.
35:01
The founder has to evolve.
35:02
That’s the biggest thing that has to happen.
35:05
Most people at CRED are people who have not seen a bigger business than CRED, which comes with its benefits and costs.
35:12
So you have to gentrify the org every now and then to make people understand the value of many of these reliable things.
35:19
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.
35:38
But the kind of expectations keep changing at companies of scale.
35:41
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.
35:51
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.
36:01
So I think those are the few lessons that I've learned.
36:02
Talent, you start realizing that not everybody can scale into everything.
36:07
And you cannot expect that you can give up the 0 to 1 DNA just because you're building 10 to 100.
36:12
So how do you kind of coexist with those things?
36:15
How do you react to big changes in the market and not become this slow company?
36:20
And every company goes through that.
36:21
I mean if you look at what Zuck went through in the last three or four years was that.
36:27
I often say that he had to play the Shiva, come and do a lot of destruction to become big again.
36:34
So I think that's what founders can do, and it's not easy to do.
36:39
One of the things I've learned is that profit pools of a country tell you a lot about what the country values.
36:47
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.
36:59
In the thousand most profitable companies in India, the number of retailers would be probably two or three.
37:06
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.
37:19
India has a very low divorce rate, less than 1%, are arranged marriages.
37:24
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.
37:33
Everywhere else, it's probably five, 6x more for them.
37:36
So what happens is you start appreciating what the country values.
37:40
For example, I have noticed that many patriarchal societies have a very significant market cap in financial services versus consumption.
37:50
And these broad patterns, you start thinking about very, very differently. So many lessons there.
37:56
I love this idea of a founder being an uncertainty absorber.
38:00
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.
38:13
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.
38:23
Is there anything there that you've seen- Yeah, but that's the universe.
38:26
The universe goes through the exact same phases.
38:28
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. Beautiful. I see.
38:39
So this is just inevitable.
38:40
This is the circle of life. Absolutely. Amazing.
38:44
I love how this all just ties back to your philosophy background. I love it. It's beautiful.
38:49
This episode is brought to you by Dovetail, the customer insights hub for product teams.
38:54
Are you working in a feature factory building filler that nobody wants?
38:59
Probably, because the sad truth is that most SaaS features are rarely or never used, costing the industry billions every year. Let's change that.
39:08
Product managers, Dovetail is holding their first industry conference, it's called Insight Out, and they want you to come over one day in San Francisco.
39:18
The product community is coming together to learn how to better leverage customer insights and build products that people actually love to use.
39:25
It's on April 11, and you can hear from product leaders from Uber, Twitch Meta and Netflix as they share their strategies for driving innovation, thriving in uncertainty and balancing customer centered work with business needs.
39:39
And here's the kicker, it's absolutely free for online tickets. Just go to dovetail. com/lenny to register.
39:47
This is thanks to Dovetail, the best way for product teams to get the most out of customer insights.
39:52
Check it out at dovetail. com/lenny. Okay. So, on CRED.
39:57
So here's a funny thing that happened.
39:58
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?
40:02
” 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.
40:14
So I'm just curious, why is that such a common question that comes up? It's fascinating. It's fascinating.
40:21
As a country, most businesses were of trading, you buy something at low cost, sell at a higher price and you make profit.
40:30
Most of our businesses, most of our family businesses were trading.
40:35
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.
40:47
So when they see these large numbers of losses, there's a shock.
40:51
“Why would somebody give you this kind of money?
40:51
” And by the way, my own dad wouldn't respect me till I was building a profitable company.
41:01
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.
41:22
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.
41:39
Let's understand one thing.
41:40
In the US, maybe 27-30% of the US market cap is now tech companies.
41:46
In India tech companies would probably make less than 2- 3% of the market cap.
41:51
So we are mostly, and I'm not saying India has this fabulous history of building very, very profitable tech companies.
41:57
We are probably the first generation that will have to prove ourselves to be very large profitable companies.
42:02
But we are still figuring out what this means.
42:05
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.
42:15
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.
42:29
But I find it fascinating as well.
42:32
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.
42:42
So if you see any founder in India, they'll post something about the thing, the comments will rarely have appreciation.
42:50
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.
43:01
But I think when it comes to...
43:01
and I believe envy is hyperlocal.
43:07
We do not envy Elon Musk for all the stuff he does because he's so far away.
43:13
But we envy our own because they were just like us not many years ago.
43:19
And therefore envy is like wifi.
43:23
It's like a hyperlocal service.
43:25
How do you stay positive and focused and not let that stuff bring you down?
43:31
And do you have advice for founders in India that are dealing with the same sort of feedback?
43:35
It's funny the number of calls I've got from founders who start getting hate.
43:35
I’m the go-to person to get these call because they've seen me get it for many more years.
43:45
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.
43:58
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.
44:08
And I seek feedback all the time from people.
44:11
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.
44:19
But let's say somebody commenting about your business, who does not understand the nuance of it, you can't be reacting to everything.
44:27
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.
44:38
That's over my head, but I love it anyway. It's so interesting.
44:43
I love all these elements you're pointing out of how different building in India is.
44:45
I think people in the US have no idea about it.
44:49
And so I appreciate you getting into all these little elements.
44:53
Is there anything else around the Indian market that may surprise people before we go in a different direction about building a startup there?
44:59
For all the challenges, India remains the most promising market that one can be building for right now because everything is going our way.
45:07
We have all sorts of digital public infrastructure, government support, all these great people doing extraordinary things, apart from the Twitter noise.
45:17
And Twitter is designed for outrage getting likes.
45:21
So I wouldn't read too much into it.
45:23
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.
45:34
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.
45:43
However, I often wish that I could get a one month internship with Brian and learn how to do things.
45:51
And I've never had the luxury.
45:53
I can only watch his podcast with you to learn a few things, but what if I got a chance to be there?
45:58
And I miss that part where I've never been really trained by these extraordinary product brains or even observed them make decisions.
46:08
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.
46:22
And there's so much joy in seeing somebody do their action.
46:26
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.
46:42
I think we could benefit so much from that.
46:44
And unfortunately it remains in very small circles.
46:47
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.
46:54
But there is so much more that we all could learn.
46:57
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.
47:04
We had to figure out everything on our own. Wow.
47:10
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.
47:21
I think though people will find, “Holy shit, one, this is how decisions are made, what is going on?
47:21
” And two is , “I don't want to work for this person.
47:29
This sounds very difficult and stressful.
47:29
” Those are probably some takeaways that will emerge.
47:36
Kind of along these lines, something that comes up a lot in your talks and work is curiosity.
47:43
You have a show called CRED curious.
47:46
You often talk about the power of curiosity.
47:48
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?
47:57
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.
48:17
And therefore a lot of people stop growing because they want to constantly demonstrate their expertise versus demonstrating their curiosity.
48:27
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?
48:37
” 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.
48:52
And I think that slows down the compounding growth and I think it keeps you from being very good at adapting.
49:02
So it's funny, I was recently.
49:02
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.
49:12
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?
49:22
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.
49:34
So three distinct traits were, one, ability to reduce metabolism at will. It's fascinating.
49:45
I can bring down my metabolism by 1:20 or a crazy, crazy scale that they can bring the metabolism down.
49:55
By the way, ancient yogis have demonstrated this as well.
50:00
It comes from the same yogic practice.
50:02
The second thing is about, and if you think about companies, the context is the same.
50:06
If COVID came, you could slow down your metabolism and survive, right?
50:12
Or you burned your way out and disappeared.
50:16
The second thing that was interesting was the very high conversion rate on every attempt to secure food.
50:25
They don't go around chasing randomly and doing things.
50:27
They have a very high conversion rate, which means high judgment and the deadliest bite.
50:35
So they'll not chase many options, but if they chase something, they will have the biggest bite and they'll convert it.
50:41
And the third thing that was more interesting was that they have survived all sorts of crazy environmental changes, just adapting.
50:47
And adaptation comes from curiosity.
50:56
And you could see those people.
50:57
In COVID, there were two sets of people, who were completely gone into a shell and there were those who were curious.
51:03
“Okay, so what do I do with this? ” “What happens now?
51:05
” “Do I need to change something?
51:06
” “Do I need to tweak something?
51:07
” So the ability to change very quickly.
51:14
I often feel that curiosity is that demonstration of the ability to adapt and learn, and you only create more information asymmetry.
51:24
To me, wealth is nothing but information asymmetry.
51:27
All the best companies in the world have unfair information asymmetry.
51:33
And that comes from curiosity.
51:33
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.
51:48
And if you assume that “I have collected enough,” no human life is going to be enough to connect and connect all the dots.
51:56
We'll never be able to get..
51:58
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.
52:11
So your information asymmetry is growing.
52:13
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.
52:22
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.
52:35
Wait, this is really interesting, this list of what are the common traits of the most long-lasting animals?
52:41
They can lower their metabolism at will, they have a high conversion rate to get food, and they've survived many types of environments.
52:49
And I think there's a lot you can transform as you've done, to startups and leaders.
52:54
This could be its own… if you haven't written about this, this would be a cool blog post.
52:59
I'm curious who you look up to in business, either in India and outside India.
53:05
Who comes to mind where you're like, I really inspired, I'm inspired by these folks?
53:10
I often tell people that I hate the word ‘favorite’ because it tells me to become limited in my mind.
53:16
So I stay away from ‘favorite’, but I learn all the time from everybody.
53:22
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.
53:35
So I don't think I have a person.
53:38
I am this person who thinks about about: ”How did they solve this hard problem.
53:38
” 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?
53:54
” And it's very hard to come up with an answer.
54:04
And if you do this to the product leaders, just go around and ask, “What are the hard problems you solved last month?
54:07
” You'll realize that we all stay very busy and displacement is hard.
54:15
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.
54:35
And that's another thing that you cannot chase the big thing.
54:37
You don't see a crocodile being busy.
54:40
You see a crocodile just waiting patiently at the watering hole for that best meal and have the deadliest bite for that.
54:49
So the beautiful definition of predators I read was “one who burns the least amount of calories to earn the most amount of calories.
54:53
” So how do you become that?
55:00
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.
55:07
So in these meetings you have, are you judging people's success based on how many hard problems they solve?
55:13
Now that they've heard this, they're going to be like, I need more.
55:16
Because if you're a senior, what is the role of a senior person?
55:21
You have to be the chief problem solver. I love that.
55:24
I often think of leaders as professional firefighters who have just endless fires to put out.
55:31
Kind of along the lines of people and where you learn from, are there any sources of content?
55:36
This is actually an audience question on Twitter.
55:38
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?
55:43
” I wish I could think of an answer.
55:50
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.
56:04
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.
56:24
And then I asked GPT to come up with 50 people who did that and what were their vices?
56:30
How did they change the reputation by doing lots of philanthropy and all of that stuff? Then a thing happens.
56:37
And then I research in all sorts of directions.
56:37
And I have no boundaries if I go to chemistry or physics or human behavior to discover some universal principles.
56:48
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.
57:01
So I often tell people that every book you read makes your brain poorer to read the next book.
57:10
That's the purpose of books, but that's true for every single thing we learn.
57:13
It makes our brain poorerfor the next thing that we are supposed to learn.
57:17
Is there a recent example of that where you got super sucked into some topic?
57:20
Well, it's my daily life.
57:22
I get sucked into topics every now and then.
57:25
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.
57:39
I got recently obsessed with what happens to lab grown diamonds if they become big? Does it kill diamonds?
57:44
Does it make diamonds bigger?
57:46
And then I looked at parallels.
57:48
So, the pearl industry was very big before culture.
57:51
Cultured pearls came and the high status of pearls disappeared because everybody could have pearls.
57:59
But not too long ago, pearls were a very royal thing .
57:59
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.
58:13
So then I think should I be shorting or going long on diamonds thinking about what happens?
58:19
But there'll be a temporary period of making a lot of money on lab grown diamonds, which will kill...
58:23
it'll become parasitic on the status of diamonds and destroy all of the profit pools.
58:31
You heard it here first, time to buy some diamond futures.
58:35
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.
58:43
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.
59:00
So I think the world is going to be unfair to people who will ask great questions. Interesting. Okay.
59:06
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?
59:14
Whenever somebody has many choices and they make the right choice in whatever domain they have.
59:21
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.
59:28
Everybody has many choices to make.
59:32
How do they make choices for that domain of expertise?
59:38
And I think that is the most, and many times they're not going to be able to explain how they make great choices.
59:43
They'll have to really go into that because they don't really have their mental models figured out.
59:49
They cannot articulate, they cannot coach, they cannot explain.
59:51
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.
1:00:01
The other good question to ask is about second order thinking.
1:00:06
What do they think will happen to the world and why did they come to that conclusion?
1:00:11
And you see that full chain of thoughts is very powerful.
1:00:15
For example, second order thinking is known to be the most powerful trait to predict the success of somebody.
1:00:22
But I often wonder what happened in the childhood of people who became great at second order thinking.
1:00:30
And that question is not fully discovered or discussed yet.
1:00:34
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.
1:00:48
And if you had both, you could do really well in general because you have discipline and second order thinking together.
1:00:55
Then did you ever have an exercise of looking at history?
1:01:01
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.
1:01:14
For example, “Why do humans wear jewelry” and ”Why is something a certain way?
1:01:14
” And let them go into the full depth of history and find out.
1:01:29
Why is it so expensive to advertise in the Super Bowl? And so on and so forth.
1:01:33
You just take one question.
1:01:34
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.
1:01:47
Or another question about origin stories that “How did elevators come into being?
1:01:49
” and "what made your phones happen?
1:01:49
” “What made microphones happen and why is it called microphone and why is it called a phone?
1:01:54
” 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.
1:02:14
But that's a broad range of things that I think people should be asking.
1:02:17
I'm looking forward to Kunal’s children's raising book, like a book to help you raise kids.
1:02:23
This could be your future.
1:02:24
I don't have kids so I can run experiments on everybody else's kids.
1:02:27
So it's a great thing to do.
1:02:29
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- Actually it's not bad.
1:02:36
I think you should encourage it because we have to assume that we are going to be all co-pilots of AI now.
1:02:42
What you have to do is derive the second order insight that, “Okay, this is true.
1:02:46
Where is the similarity of this in somewhere else?
1:02:46
” Give me an example of this found somewhere else, and so on and so forth. Amazing. Okay.
1:02:56
I have just a couple more questions before we get to our very exciting lightning round.
1:03:00
First, let's visit the contrarian corner. I'm curious.
1:03:03
What's something that you believe that very few other people would agree with you on and why do you hold that belief?
1:03:12
Our understanding of wealth and what wealth is, is flawed.
1:03:16
To me, wealth is nothing but storage of energy.
1:03:20
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.
1:03:28
We are the only species that has managed to convert all forms of energy to our advantage.
1:03:32
Kinetic energy and fuel and sound and solar.
1:03:35
No other species has done this.
1:03:37
And therefore, since the industrial revolution, our wealth has gone like this and continues to be like that.
1:03:42
AI and nuclear fission and all this stuff will kind of take us right there.
1:03:47
So I have a strong view that we will never, never have equality of wealth.
1:03:55
In fact, chasing that is actually a bad idea.
1:03:58
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.
1:04:06
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.
1:04:16
It'll always be concentrated.
1:04:18
You change these mediums, companies, countries.
1:04:23
To me, wealth is nothing but an entropic complexity that'll keep changing its form and shape.
1:04:29
You can keep fighting it or accept its physics and reap the benefit of that physics.
1:04:34
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.
1:04:49
No, but the nuance that is important is that you can actually increase the database size infinitely. That's true.
1:04:55
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.
1:05:04
And all the species that are managed to collaborate and cooperate to create wealth, for example, let's define wealth as biomass.
1:05:12
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. Wow.
1:05:24
I love all the directions we've gone.
1:05:27
Probably the last question, is there a story of failure in your career that would be interesting to share?
1:05:34
Something that taught you an important lesson?
1:05:36
It's a series of failures.
1:05:39
I think there is no escape for anybody who's done anything in life, not failed a lot, like every day, every thing.
1:05:46
But I would say that many initiatives, many products, companies that I've built have absolutely failed, hirings that have failed, trust broken, betrayals.
1:06:01
So I think there is no end to it.
1:06:04
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.
1:06:22
For example, COVID has literally no memory for me.
1:06:24
I just don't remember what was COVID.
1:06:27
It's just a blank in my head right now.
1:06:30
And I think that humans are great at forgetting the memory of failure, but remember the lesson from failure.
1:06:36
But I think I'm constantly learning, and I often believe that life is too short to make all our mistakes ourselves.
1:06:43
So we should be learning from other people's failures as well.
1:06:46
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.
1:06:55
I would say that my life started from a failure.
1:06:58
My family went through a severe financial crisis.
1:07:01
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.
1:07:10
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.
1:07:21
And although we are significantly far away from that, the feeling is exactly that.
1:07:27
Circles back to one of our first few questions about the chips on shoulders driving a lot of motivation.
1:07:33
There's this phrase, ”Chips on shoulders drive chips in pockets. ” That's interesting. Yeah.
1:07:40
Is there anything more you want to share about that early challenge you ran into or is that something you've shared often?
1:07:46
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.
1:07:53
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.
1:08:11
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."
1:08:17
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.
1:08:32
There are so many people in the world who've done extraordinarily well because they had the gift of struggle.
1:08:37
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. Wow.
1:08:46
I think about that a lot.
1:08:47
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.
1:08:57
Before we get to a very exciting lightning round, is there anything else, Kunal, you wanted to share or leave listeners with? Anything?
1:09:02
Any last nuggets of thoughts?
1:09:04
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.
1:09:22
And I believe that a lot more could be contributing.
1:09:25
And a lot of your listeners are really bright people.
1:09:28
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.
1:09:40
With that, we've reached our very exciting lightning round. Are you ready? All set. Let's do it.
1:09:47
First question, what are two or three books that you've recommended most to other people?
1:09:53
It keeps changing a lot, but my books are usually around understanding human behavior.
1:09:58
And I keep changing based on the person, but I think it's the biggest subject.
1:10:03
All our customers, all our investors, all our employees, all our relationships are all humans.
1:10:08
And the subject that we are weakest on is human behavior.
1:10:11
And how do we live this life?
1:10:13
We are playing life on extremely hard mode if you don't learn human behavior.
1:10:17
So I would say that's one thing.
1:10:18
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.
1:10:28
So that's another one I would recommend.
1:10:30
And I don't want to make a recommendation because I can barely finish a book to be honest.
1:10:36
So I believe in drifting and getting deeper into topics.
1:10:39
So understanding the topics versus trying to say, give me these three books and I'm going to be good.
1:10:43
And the last one I would say, is that anything that can make you learn something about their journey versus their success.
1:10:53
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.
1:11:11
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?
1:11:21
I absolutely don't believe in reading over and over because I believe that we are evolving.
1:11:29
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."
1:11:35
But I think we tend to become believers, and it becomes too religious if you repeat. Yeah.
1:11:49
Next question, do you have a favorite recent movie or TV show that you've really enjoyed?
1:11:54
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.
1:12:05
Do you have a favorite interview question that you like to ask candidates that you're interviewing?
1:12:11
I like to ask a hypothetical second order thinking question.
1:12:15
For example, if everybody who has taken a COVID vaccine dies tonight, what happens in 12 months from now?
1:12:23
Can you explain the world- from what happens to money, what happens to law?
1:12:28
What happens to countries?
1:12:29
What happens to the military?
1:12:30
What happens to the stock market?
1:12:32
What happens to the order of things?
1:12:35
And I would say less than 10% of really smart people can have really good answers.
1:12:43
So it tells you how good they are at second order thinking.
1:12:48
But the questions can keep changing.
1:12:49
For example, if you said that, what if arranged marriages were banned in India, and you got capital punishment for doing arranged marriages?
1:12:57
What happens to the country?
1:12:59
How do we change from there?
1:13:01
Like some absurd scenarios, but then what happens after that?
1:13:05
Not to give away your secret sauce, but what do you look for in an answer that gives you a sense there?
1:13:09
The range of things that they could go into and think about- if this happens, B happens and then C happens.
1:13:18
The leaps they could make.
1:13:20
And just so people understand, when you're talking about second order thinking, what's the simplest way to describe that concept?
1:13:26
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.
1:13:37
For example, a lot of people in the stock market use that to say how stocks will go up and down.
1:13:44
There's something that has happened in the market.
1:13:46
“Oh, there is a war now with Russia, then what happens to the market?
1:13:46
” Can you be good at predicting that?
1:13:54
But in everything in life, if this happens, a lot of people hate this because it's very taxing to the brain.
1:14:02
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.
1:14:10
So you convert this into a hate versus a reward cycle, and that comes with probably doing it early on in your life.
1:14:19
Later on, people hate doing second order thinking. It is. Yes.
1:14:23
That sounds like a lot of work for the brain. Okay.
1:14:26
Just a few more questions.
1:14:28
Do you have a favorite product that you've recently discovered and that you really love?
1:14:32
I'm looking forward to my Vision Pro coming soon.
1:14:37
It's a future favorite product.
1:14:39
We have actually Boz from Meta coming on as the next guest in my recording.
1:14:43
I'm not sure when they come out in sequence, but we're going to talk about his thoughts.
1:14:48
The most fascinating thing that I saw was Zuck talking about the utility of Meta being better than Vision Pro and their product.
1:14:59
And that's exactly going to work well for Apple because when you try to make the product more utilitarian, it loses status.
1:15:08
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.
1:15:20
And therefore people who are known to buy a product that is wasteful will actually own higher status.
1:15:26
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.
1:15:35
We are not for everybody." Wow.
1:15:37
Just continue to blow minds even on our lightning round.
1:15:42
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?
1:15:51
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.
1:16:01
And all these struggles will mean nothing.
1:16:05
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.
1:16:16
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.
1:16:24
There's no good movie here.
1:16:25
You have not done enough interesting things." I love it.
1:16:28
And so he turned his lens of what to do in life, by thinking what would make a great story.
1:16:36
And so he just started to do a a great story, something where you overcome challenges and achieve something you wanted.
1:16:41
And so that became his life motto.
1:16:43
“I'm going to try hard things and overcome them.
1:16:45
And that's going to be my life. ” I love it. I love it. I love it.
1:16:48
I'll link to that book in the show notes.
1:16:51
Final question, do you have this series on Twitter that you call Monday Motivations?
1:16:56
I'm curious what's motivating you these days?
1:16:58
I find the internet is filled with all these people trying to give fake motivation and make money off that stuff.
1:17:04
And it's almost like a drug for people to feel, ”Oh my God, there's motivation, I'm going to do well.
1:17:09
” 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.
1:17:22
And so the Monday motivation post comes as the anti-motivation post because the world is filled with...
1:17:29
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.
1:17:39
And I think the best way to love yourself is to keep evolving.
1:17:44
So my motivation comes from evolution, connecting dots, solving harder problems than I've solved in the past.
1:17:51
And I think life is ultimately a game where you want to feel that your levels have changed and your skills have changed constantly.
1:17:59
Kunal, you are wonderful.
1:18:01
Thank you so much for being here. Two final questions.
1:18:03
Where can folks find you online if they want to reach out and follow up on some of this stuff?
1:18:07
And how can listeners be useful to you?
1:18:09
You can find me on social media.
1:18:10
Look for Kunal Shah, you'll find me everywhere.
1:18:13
I usually have a different personality on each social media.
1:18:16
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. Amazing.
1:18:28
Kunal, again, thank you so much for being here.
1:18:31
Thank you so much for having me. Bye everyone.
1:18:34
Thank you so much for listening.
1:18:35
If you found this valuable, you can subscribe to the show on Apple Podcasts, Spotify, or your favorite podcast app.
1:18:42
Also, please consider giving us a rating or leaving a review as that really helps other listeners find the podcast.
1:18:48
You can find all past episodes or learn more about the show at lennyspodcast. com.
1:18:53
See you in the next episode.