Emergent: The AI App Builder for Everyone

1. 0:00 – 0:36

   The AI Reset: A New Era of Building

   1. MUMukhund0:00

      I think AI is a big reset, right?

   2. NDNicolas Dessaigne0:01

      Mm-hmm.

   3. MUMukhund0:01

      I feel that, like, uh, it's going to be-- the next 20 years is going to be about AI. It's just-- We're just getting started. I tell people that this is Bitcoin and dollar one right now. And so you should just be bold and, and, you know, uh, find a problem that you really like, and just go, go all in.

   4. NDNicolas Dessaigne0:16

      [ on-hold music] Today I'm joined by Mukund and Madhav Jha, the founders of Emergent. Emergent recently announced a crazy $15 million ARR just three months after launch. Before diving into that story, let's get to learn about, uh, Emergent. Can you tell us more about what Emergent is doing?

2. 0:36 – 1:02

   What Emergent Is & How It Works

   1. MUMukhund0:36

      Great to be here. Uh, Emergent is an AI App Builder. Uh, we allow anybody, uh, without any programming knowledge to come on our app and build a mobile app, web apps, websites with zero coding knowledge. You come in, you prompt, and you get a full production-ready, uh, launchable apps, um, with us.

   2. NDNicolas Dessaigne0:52

      So just describe what they want to do-

   3. MUMukhund0:53

      Yeah

   4. NDNicolas Dessaigne0:54

      ... with a prompt.

   5. MUMukhund0:54

      Just come in this way. Yeah.

   6. NDNicolas Dessaigne0:55

      You create the app.

   7. MUMukhund0:55

      Yes, yes.

   8. NDNicolas Dessaigne0:56

      Awesome. And can you tell us a little bit more of your scale? So we know $15 million ARR-

   9. MUMukhund1:00

      Yes

   10. NDNicolas Dessaigne1:00

       ... in three months. Uh-

   11. MUMukhund1:01

       All right. So-

   12. NDNicolas Dessaigne1:01

       How many

3. 1:02 – 3:10

   $15M ARR in 3 Months

   1. NDNicolas Dessaigne1:02

      apps?

   2. MUMukhund1:02

      So we launched three months back and have been growing pretty rapidly, probably one of the fastest growing, uh, AI startups right now in the world. Um, and we-- Uh, in three months, we have, like, roughly 1.7 million users on the platform. More than two and a half million apps have been built, uh, on the platform already. And, uh-

   3. NDNicolas Dessaigne1:17

      That's insane

   4. MUMukhund1:18

      It's insane to see the-

   5. NDNicolas Dessaigne1:18

      How many are actually live, like in prod, use it-- used every day?

   6. MUMukhund1:21

      Yeah, I mean, I think we, we don't, uh, have a good track 'cause a lot of people also deploy out-outside of our platform. We allow them to deploy on our platform, but roughly 20 to 30% people are able to deploy their apps on the platform today.

   7. NDNicolas Dessaigne1:30

      That's awesome. Tell me more about like how did you come up with that idea? Like, you were two brothers, right?

   8. MUMukhund1:35

      Yeah. [chuckles] Yeah. So we are twin brothers. We actually, uh, got started-- We came to US to do our PhDs. Uh, and then I dropped out of the PhD program, joined Google.

   9. NDNicolas Dessaigne1:44

      And you went back to India.

   10. MUMukhund1:45

       Yeah. I joined Google, then went back to India, started a company called Dunzo, which was one of the pioneers in quick commerce in the country.

   11. NDNicolas Dessaigne1:50

       And that was with-- with Jack. How many employees did you have?

   12. MUMukhund1:52

       We had like-

   13. MJMadhav Jha1:53

       Several.

   14. MUMukhund1:53

       Yeah, become like-

   15. NDNicolas Dessaigne1:54

       Sh-

   16. MUMukhund1:54

       ... two thousand employees-

   17. NDNicolas Dessaigne1:55

       Yeah

   18. MUMukhund1:55

       ... but like eighty thousand delivery, delivery people on the ground. Um, yeah. And, uh, so September 23 is when I left, uh, Dunzo, came back to US, uh, spent some time with Maddy, and, uh, we were thinking what to do and, and that's when sort of, you know, we thought of Emergent. And Maddy-

   19. MJMadhav Jha2:10

       So I finished my PhD in Computer Science and then moved to the West Coast, and, uh, got the breeze of the West Coast for, for doing startup. So joined Zenefits as an early employee and saw the rise and fall of Zenefits to some extent.

   20. MUMukhund2:20

       Mm-hmm.

   21. MJMadhav Jha2:21

       Yeah, and then, uh, went and joined Amazon, uh, was part of the-- their deep learning platform team, uh, built their SageMaker platform. And, uh, yeah, like, uh, last year, me and Mukund connected, and so we, we, we've been wanting to do a startup for a long time. It just happened that-

   22. NDNicolas Dessaigne2:34

       So is it to build together, like, as brothers? Like, is it a good thing or like-

   23. MJMadhav Jha2:38

       It's a lot of fun because-

   24. NDNicolas Dessaigne2:39

       How much tension?

   25. MJMadhav Jha2:40

       Because we are very tight. We are very tight as twins. Uh, we are very close. And, uh, yeah.

   26. MUMukhund2:44

       I mean, we, we have spent hours just chatting about ideas. Like, every time we get free, we'll call each other and say, "Hey, I have a new idea." And, uh, so it's-

   27. NDNicolas Dessaigne2:51

       So it's more like a dream come true than-

   28. MUMukhund2:52

       Totally. Totally.

   29. NDNicolas Dessaigne2:53

       That's it.

   30. MUMukhund2:53

       It's finally-- and, you know, like, we've been meaning to do something together for a long time, and finally we got a chance. And, uh, I think the best part is that, you know, like, we, uh, in most ways, it's just either one of us need to be there, and because we, we sort of know, know each other, uh, really well. So there's-
4. 3:10 – 4:46

   Building Together as Twin Brothers

   1. NDNicolas Dessaigne3:10

      idea itself, because you did YC in summer of '24, right?

   2. MUMukhund3:13

      Yes.

   3. NDNicolas Dessaigne3:13

      A little over a year ago. Uh, but you didn't start with this idea.

   4. MUMukhund3:17

      Right.

   5. NDNicolas Dessaigne3:17

      Tell us more about, like, the, the journey here.

   6. MUMukhund3:19

      Right. So when we came to YC, our first idea was, uh, that we wanted to build testing agents, which will-

   7. NDNicolas Dessaigne3:25

      Mm-hmm

   8. MUMukhund3:25

      ... actually go and test your web app, mobile app. We thought browsing agents were getting really good, and can people just na-- in natural language prompt what they want to test? And, you know, our agents would go in and-

   9. NDNicolas Dessaigne3:34

      Yeah

   10. MUMukhund3:35

       ... and test that. And from the beginning, we had this very, uh, strong belief that, you know, the AI exponentially is gonna continue, and you'll have a lot more autonomy, uh, a-a-and agents coming on. So even though at that point, like, copilots were, like, the popular trend, uh, a lot of people were building, uh, copilots. We were very focused on building agents which can do long-horizon tasks. Um, and when we started, like, we-- There were two, three things that's happened. One, like, we built out the entire tech and realized that, um, the general coding agent is a much bigger problem, uh, to solve, and we were a lot more excited by-- We felt that was a more ambitious idea that, that felt like something-

   11. NDNicolas Dessaigne4:05

       I remember, like-

   12. MJMadhav Jha4:05

       [chuckles]

   13. NDNicolas Dessaigne4:05

       ... it felt like that, kind of like when you were-

   14. MUMukhund4:07

       Yeah

   15. NDNicolas Dessaigne4:07

       ... were speaking back then.

   16. MUMukhund4:09

       Yeah, I think we went back and forth on multiple things.

   17. NDNicolas Dessaigne4:11

       Yes.

   18. MUMukhund4:11

       And, and, and fr-finally, we were still trying to find our way in, you know, NYC when we were there to, to, to see what would work for us. And we felt the general coding agent is, is a much more ambitious idea with sort of, you know, something that we will be excited about the next 20 years building as-

   19. NDNicolas Dessaigne4:23

       Uh, but then you, you focused on more the enterprise market for a while.

   20. MUMukhund4:27

       Yeah. Initially, our focus was enterprise market. So we built, uh, uh, one of the world's best coding agent at that point, uh, this, this benchmark called SWE-bench. And I remember texting you that, "Hey, we, we, we, we are on number one on that benchmark now." So we returned to that benchmark. It took us, like, about a month, month and a half to, uh, you know, crack that and become number one in the world on that benchmark. And,

5. 4:46 – 7:06

   From Enterprise Agents to the App Builder

   1. MUMukhund4:46

      and during that phase, like, I think we did a lot of, like, uh, research work between me and Maddy to sort of really figure out what would work, agent, how do you build lo-long horizon.

   2. MJMadhav Jha4:54

      Yeah, I mean, even with an API access, that's-- there's a lot of things that goes behind making those API access work-

   3. MUMukhund4:59

      Yeah

   4. MJMadhav Jha4:59

      ... for you in, in an agentic manner. Like, so you want the agent to have very autonom-autonomous work. And so one of the insights, early insights we had was that, uh, you want to give agent feedback and a very tight feedback loop. And so that was one of the genesis of Emergent, where we built all our infra in-house, right? So, uh, the entire, uh, infrastructure, be it like database, backend, everything, like, is built in-house. And, uh, that ensures we have a very tight feedback loop with the agent. And, uh, we did bun-bunch of other things around agents, like being-- make-making it multi, multi-agent tech and, and things like that.

   5. NDNicolas Dessaigne5:31

      So you were-

   6. MJMadhav Jha5:31

      Yeah

   7. NDNicolas Dessaigne5:31

      ... building all of that first for QA, then for enterprise.

   8. MJMadhav Jha5:34

      Right.

   9. MUMukhund5:35

      True.

   10. NDNicolas Dessaigne5:35

       And by the time you went to consumers, like, kind of more of a consumer-facing, uh-

   11. MUMukhund5:39

       Yeah. So we, we went to-

   12. NDNicolas Dessaigne5:40

       By building the app

   13. MUMukhund5:40

       ... we went, we went to an enterprise and, and found the feedback cycle to be really slow.

   14. NDNicolas Dessaigne5:44

       Yeah.

   15. MUMukhund5:44

       And I think in the, in heart, like, we are very consumer as a, as a, as a, uh, you know, like, uh, personalities, we-- having been a consumer company before.

   16. NDNicolas Dessaigne5:52

       Yeah, Dunzo was pure consumer, right?

   17. MUMukhund5:53

       Dunzo was pure consumer company. And, uh, so it felt like, you know, like-Uh, we were getting too tied up in, in, you know, like enterprise cycle, and, um, and we-- So and we were internally building a lot of apps using Emergent already, right? And so we thought, okay, you know, like, why, why not just go directly to consumer.

   18. NDNicolas Dessaigne6:07

       So in a way, like what you did for one year before launch is kind of what made you successful once you launched, kind of like you were more ready than ever.

   19. MUMukhund6:14

       Very much. I think, I think the foundation that we were able to set in the first like nine months of, you know, like just pure research-

   20. NDNicolas Dessaigne6:20

       Yeah

   21. MUMukhund6:20

       ... on our agents, uh, and, uh, really g-got us, you know, like, um, really into the problem and, and helped us understand like how to build really good, uh, high quality agent. And, and that's what's driving a lot of our growth today. Like, when people come to the platform a-and they can see the difference between other platforms-

   22. NDNicolas Dessaigne6:35

       So-

   23. MUMukhund6:35

       ... that we are able to build better apps.

   24. NDNicolas Dessaigne6:36

       That's cool. So let's speak about, about the product then. Uh, like, so after someone writes a prompt, what does happen in the-- like from the time they send-- click Enter-

   25. MUMukhund6:47

       Right

   26. NDNicolas Dessaigne6:47

       ... what does the product do?

   27. MUMukhund6:48

       Yeah, so behind the scenes, as soon as you enter the prompt, right? Like we spin up a dev box kind of environment, which is a virtual machine, uh, in the cloud for, for the agent. So the hypothesis is that agent should basically get the same set of, uh, environment as, as a developer would get, right? And, uh, in that environment, agent is able to install libraries,

6. 7:06 – 10:02

   How Emergent Builds Apps from Prompts

   1. MUMukhund7:06

      you know, uh, write code and then like anytime it runs some, some, some, like, let's say, write some files, we automatically run some lint passes ar-around it to give feedback to it. Um, and, and so, I mean, actually I skipped a step where like we, we do, uh, first understand what the, what the human wants, right? Because people come from all walks of life, and so we first have to like do, uh... So one of the unique things we do is we first interact with the-

   2. NDNicolas Dessaigne7:28

      See, you actually have like some conversation with the user-

   3. MUMukhund7:30

      Conversation with the-

   4. NDNicolas Dessaigne7:31

      ... before actually starting building

   5. MUMukhund7:31

      ... before starting, and also based on the conversation, we realize where to route the right, uh, request, right? It may be that this person is mostly interested in a pure front-end side of things, or this person is more interested in, uh, you know, like via mobile apps or, or any of those things. Um-

   6. NDNicolas Dessaigne7:45

      So, so today you are able to do both kind of like a web app, a mobile app, like different kind of, uh-

   7. MUMukhund7:50

      Yeah. We are the only vibe coding platform that supports web, mobile, backend-

   8. NDNicolas Dessaigne7:53

      Okay

   9. MUMukhund7:53

      ... everything integrated in, in one place today.

   10. NDNicolas Dessaigne7:54

       Okay. And so you're going to route towards the right agent. It's different agents-

   11. MUMukhund7:58

       Yes

   12. NDNicolas Dessaigne7:58

       ... depending on the tasks.

   13. MUMukhund7:59

       Yes.

   14. NDNicolas Dessaigne8:00

       I mean, there is a, a lot of vibe coding tools-

   15. MUMukhund8:03

       Right, right

   16. NDNicolas Dessaigne8:04

       ... out there. Like how do you, do you differentiate from them? Like what do you do differently?

   17. MUMukhund8:07

       Yeah, so I think the way we differentiate is that most, uh, platforms today like help you get a good prototype, right? So they'll give-- help you get, uh, front-end code really well. And, and, and our sort of goal has always been to take a user from an idea to a launched app that they can get usage on, get monetization done on that. And because we have, we have tightly coupled the infrastructure and, and a state-of-the-art coding agent and the product, like we've tightly built these things together. The overall experience of building, the overall quality of the app building is, is much higher on the platform because we have all the feedback loops tied up. We don't depend on third party for your backend databases, and that allows us to build really high quality apps on the platform.

   18. NDNicolas Dessaigne8:43

       And, and you do anything differently, like to get to that level of production readiness?

   19. MUMukhund8:48

       Yeah. So, so I mean, at the heart of it is, is a multi-agent architecture that we have built, like where different specialized agent will come in and, and-

   20. NDNicolas Dessaigne8:54

       Like including testing and-

   21. MUMukhund8:55

       Including tests. So we, we do autonomous t-testing for you. We have a design agent that will come and design your app for you. We have a security agent when before deploying, it'll do security checks for you and, and then there's a deploying agent which will convert all of your build steps into, you know, infrastructure as a code and deploy them into, uh, into our, our cluster. And, and that really p- uh, gives like a very, uh, like unified experience to, to people to sort of, you know, build-

   22. NDNicolas Dessaigne9:17

       Awesome

   23. MUMukhund9:17

       ... complex apps today.

   24. NDNicolas Dessaigne9:18

       What would be the limits today? Kind of like-

   25. MUMukhund9:21

       Yeah, so today, like, I mean, typical-- I mean, line of code is a bad, uh, metric, but, uh, you know, that's one, one metric of complexity. So today, like we typically see the apps built are roughly thirty-five thousand, forty thousand, two thousand-

   26. NDNicolas Dessaigne9:31

       Okay

   27. MUMukhund9:31

       ... line of code. Uh, most of the other platforms sort of cap out at like ten thousand, uh, ca- line of code.

   28. NDNicolas Dessaigne9:36

       Okay. So you think you are going beyond-

   29. MUMukhund9:37

       Beyond

   30. NDNicolas Dessaigne9:37

       ... those platforms.
7. 10:02 – 17:14

   Builders from All Walks of Life

   1. NDNicolas Dessaigne10:02

      apps you can tell us about?

   2. MUMukhund10:03

      Yeah, so I mean, lots of apps. Like I think when we talk to users, this is one thing that we do a lot is, is speak to a lot of our users and understand what they're trying to build and where they're struggling and, and that sort of drives our roadmap. Um, there was this, uh, microbiologist, uh, who had this problem for ten years that she, uh, whenever she had an audiobook and she didn't like the narrator, she couldn't finish the book. So she built this entirely, completely new experience of audiobook, where she can import a book, select different, uh, narrators from Eleven Labs, uh, voice, and then export a completely new experience on the platform. There's this, this jewelry owner, um, and she had this problem where whenever somebody would walk into the store to, uh, ask for a jewelry repair, she had to flip through manual books to figure out the pricing. She built this AI pricing engine where she just takes a photo and, and it tells her what are the prices. Um, we had this gardener who built this entire SaaS app to manage admin user and, uh, gardener for job allocation, real-time location tracking. Um, so I think what, what's, what we are really enabling today is like, uh, entrepreneurs who want to start a new idea.

   3. NDNicolas Dessaigne11:01

      Mm-hmm.

   4. MUMukhund11:01

      Uh, that's, that's some-- one, one category that we see a lot, and small business owners who want to digitize their business, solve a, solve a problem. And we think the software's like need is very personal. Like everybody has a very personal need for software and, and we today allow them to build that.

   5. NDNicolas Dessaigne11:14

      So like anyone who had a need to solve a problem one day-

   6. MUMukhund11:17

      Yes, and I think-

   7. NDNicolas Dessaigne11:17

      ... now is the time.

   8. MUMukhund11:18

      Yeah. We think, you know, when we launched, we thought like our product is gonna be largely used by semi-technical people, PMs, designers, but what, but we were surprised to see is that all walks of life, uh, you know, and lot, a lot of business people, a lot of like first time entrepreneurs are using us, uh, today.

   9. MJMadhav Jha11:32

      Yeah, today I was talking to some, like a couple of people who are in Spain, and they're filmmakers, and they are using our platform for like last three, four months. And they've built a-- Because they're arts-artsy people, they can bring their arts and-

   10. NDNicolas Dessaigne11:43

       Yeah

   11. MJMadhav Jha11:43

       ... to it, and like the, the website that comes out is phenomenal. Like we, we looked at the website and we were like, "How did they build this?" Right? And they have no technical like coding background and, uh, yeah, pretty amazing to see.

   12. NDNicolas Dessaigne11:53

       That's cool. How often do you speak with users? Like you have so many, you cannot speak to all of them.

   13. MUMukhund11:57

       Uh, no, we, we don't. I mean, we, we generally like... I mean, we do a lot of support, support ourselves, right? So I mean, whenever we see a support that looks interesting-

   14. NDNicolas Dessaigne12:04

       You end up like speaking with these users.

   15. MUMukhund12:05

       Yeah.

   16. NDNicolas Dessaigne12:05

       Like the more-- the most demanding one is probably most-

   17. MJMadhav Jha12:08

       Most demanding one, something that catches our eye, you know, and like-

   18. NDNicolas Dessaigne12:10

       That's cool

   19. MJMadhav Jha12:10

       ... and people are very kind on, on Twitter as, as well.

   20. MUMukhund12:12

       I, I remember the first week we launched, like I was just stuck to my computer answering support tickets, uh, for-

   21. NDNicolas Dessaigne12:16

       Yeah

   22. MUMukhund12:16

       ... for the first, you know, week and, and, uh-

   23. NDNicolas Dessaigne12:18

       Maybe let's speak about launching here because, uh, I mean, you got that crazy goals-

   24. MUMukhund12:22

       Right

   25. NDNicolas Dessaigne12:23

       ... in just a few months, like, uh, and I think you started with an invite only period, right?

   26. MUMukhund12:27

       Right. Right. Right.

   27. NDNicolas Dessaigne12:28

       Can you tell us more about how you approached launching?

   28. MUMukhund12:30

       Yeah. So I think we, when, um, when we were aboutTo launch, uh, just before we, we ran like a very small alpha, right?

   29. NDNicolas Dessaigne12:37

       Mm-hmm.

   30. MUMukhund12:37

       And, uh, just to test the part out. The-
8. 17:14 – 19:54

   Raising $23M and Scaling the Team

   1. NDNicolas Dessaigne17:14

      Uh, speaking of money, you also recently announced a big Series A with LightSpeed, right?

   2. MUMukhund17:19

      Yes.

   3. NDNicolas Dessaigne17:19

      Like twenty-three million. Uh, when did that happen? Like, did you have already a lot of traction when, when you, uh, closed that round?

   4. MUMukhund17:25

      Uh, it, it actually got closed pretty quickly, like once we launched. Uh-

   5. NDNicolas Dessaigne17:29

      Like shortly after launch-

   6. MUMukhund17:30

      Shortly-

   7. NDNicolas Dessaigne17:30

      ... you had some traction

   8. MUMukhund17:31

      ... two weeks, two weeks within the launch-

   9. NDNicolas Dessaigne17:32

      Okay

   10. MUMukhund17:32

       ... like we were able to close that. Um, and we, we-- I think at two, two and a half, three million ARR when we sort of raised that.

   11. NDNicolas Dessaigne17:38

       Okay. So there was like, there was like some strong signal already that things were working really well.

   12. MUMukhund17:42

       Yeah, I think people tried our product and, and, and, you know, saw that our approach to, to problem-solving was very different. They-

   13. NDNicolas Dessaigne17:47

       Even the investors tried-

   14. MUMukhund17:48

       The investors, yes.

   15. NDNicolas Dessaigne17:49

       Okay.

   16. MUMukhund17:49

       And, and, uh-

   17. NDNicolas Dessaigne17:50

       That's good to have a product that people can sensor.

   18. MUMukhund17:52

       I mean, that's the best thing. Like, you know, like when people tell us, we say, "Go try the platform." And you know, so-

   19. MJMadhav Jha17:57

       And you can also try the same prompt on multiple platforms.

   20. MUMukhund17:59

       Yes.

   21. MJMadhav Jha17:59

       And you'll, you'll-- you can easily tell, right, so which one is working better.

   22. NDNicolas Dessaigne18:03

       So they're, they're, they're, they're feeling it, like their appreciation of the product was pretty high.

   23. MUMukhund18:07

       Yeah. Yeah.

   24. NDNicolas Dessaigne18:08

       And that's what, uh-

   25. MUMukhund18:08

       Right. Yeah

   26. NDNicolas Dessaigne18:08

       ... led you to a high Series D. That's, that's awesome. Uh, what are you going to do with the money?

   27. MUMukhund18:14

       Uh, so a lot of the investment is gonna go in just building a world-class team. We already have, you know-

   28. NDNicolas Dessaigne18:19

       Mm-hmm

   29. MUMukhund18:19

       ... a really, really talent-dense team. Twelve engineers right now, and, and we're gonna just-

   30. NDNicolas Dessaigne18:23

       You just have twelve engineers.
9. 19:54 – 21:07

   The Billion Builders Future

   1. NDNicolas Dessaigne19:54

      Uh, I mean, a year ago none of that existed, right?

   2. MUMukhund19:56

      Yes. I mean, I, I mean, I feel like there'll be a billion builders-

   3. NDNicolas Dessaigne20:00

      Mm-hmm

   4. MUMukhund20:00

      ... uh, in, in the next couple of years, and we'll see this new explosion of ideas on, on the world. Great for YC because a lot of new entrepreneurs are gonna come online and, and, and build great things. And, and I, I think everybody has this desire. They have an idea in their mind that they want to explore, and, and I think truly platform like ours enable them to, uh, you know, break out.

   5. NDNicolas Dessaigne20:19

      Awesome. Any, uh, like parting advice for founders or aspiring founders?

   6. MUMukhund20:25

      I mean, firstly, like try Emergent because I think Emergent could really help you accelerate your, uh-

   7. MJMadhav Jha20:29

      Yeah, we have a lot of people-

   8. MUMukhund20:29

      ... company building journey

   9. MJMadhav Jha20:30

      ... from YC trying Emergent right now.

   10. MUMukhund20:31

       Yes.

   11. MJMadhav Jha20:31

       So like building their startup on, on Emergent.

   12. MUMukhund20:34

       Yeah, but I think in general I would say like I think AI is a big reset, right?

   13. NDNicolas Dessaigne20:38

       Mm-hmm.

   14. MUMukhund20:38

       I feel that like, uh, it's going to be the next 20 years is going to be about AI. It's just, we're just getting started. I tell people that this is Bitcoin and dollar one right now. And so you should just be bold and, and, you know, uh, find a problem that you really like and just go, go all in.

   15. NDNicolas Dessaigne20:53

       That's awesome. Mukund, Madhav, it was great to have you with us today.

   16. MUMukhund20:57

       Oh, thank you so much.

   17. NDNicolas Dessaigne20:57

       Thanks for sharing your story.

   18. MJMadhav Jha20:58

       Yeah.

   19. MUMukhund20:58

       Great to be here. Thank you. [outro music]

Episode duration: 21:07