How I Built A $6.5 Billion App Called Duolingo | Founder Effect
CNBC Make It
0:00 carnegie mellon is an excellent university but it is a stressful place people
0:05 aren't happy they're just they kind of just it's not good it's not
0:10 a happy place one of the things that severan and i decided early
0:13 on when we were starting a company is like look whatever happens you
0:17 know our company should be a happy place by the time luis van
0:20 on turned 24 he was already a millionaire several times over the 43
0:25 year old may not be a household name but i'm willing to bet
0:27 you're one of the hundreds of millions of people who use this technology every
0:30 day lewis isn't your average unicorn tech founder he actually pays his drivers
0:35 to give feedback on their interactions
0:37 with potential executive level hires on their way
0:39 to and from the airport to weed out toxic personalities alright luis
0:44 thank you so much for taking some time out i appreciate it yeah
0:47 of course there are three numbers to look out for in lewis's story
0:50 42 000 the amount he made each week digitizing copies of the new york
0:54 times 183 million the total amount of outside investment he raised and six
0:59 and a half billion the total valuation after duolingo went public in june 2021.
1:05 here's how louis van on built duolingo one of the most popular educational apps
1:09 in the world while managing to keep it free for almost everyone who uses it
1:13 for cnbc make it i'm nate skid this is founder effect lewis grew up far
1:20 from the ivy leagues in guatemala his mother
1:22 was a doctor and made sure he learned
1:24 english at a younger age for many people that can be the difference between
1:27 a life of struggle and one of opportunity how big of a deal do you think
1:31 it was to go to an english program in terms of setting on the path
1:34 that you ended up that you ended up on i think it was a huge deal
1:38 in guatemala for example you could probably
1:40 double your income potential by just the fact
1:42 that you know english but you don't have to need it no anything else there
1:44 were two formative moments in lewis's young
1:47 life the first was witnessing the tension
1:49 in his family's candy business between the owners
1:52 and their workers different people in my family would
1:55 you know a lot of times they just have this vision that it's like kind
1:58 of us versus them the second was
2:00 a visit from a recruiter from duke university who
2:02 was scouring central america for undiscovered academic
2:05 talent and she essentially kind of she didn't
2:08 quite fill out the application for me
2:10 but she almost filled out the application for me
2:12 in 1996 lewis moved to the united states to attend duke university with no money
2:16 to his name yet he still managed to graduate at the top of his class
2:20 with the goal of becoming a math professor but that dream didn't last long i
2:24 realized that all the professors that were
2:26 in math were doing research on problems that hadn't
2:29 been solved for 500 years or whatever lewis wanted to spend his time and energy
2:33 tackling new challenges in 2000 he was accepted
2:36 to a computer science phd program at carnegie
2:38 mellon but it didn't take long for him
2:40 to develop a knack for creating profitable
2:42 businesses in 2003 he created a simple
2:44 game pairing two players and showed them each
2:46 the same image if their descriptions matched they moved on to the next one what
2:50 they were doing is basically just telling
2:52 google what's in these images um and so
2:55 that that really you know kind of improved
2:57 image search etc lewis says google bought
2:59 the game in 2003 for a couple million dollars in 2006 lewis landed on his next
3:04 big idea after listening to a talk
3:06 by yahoo's chief scientist the problem was that spammers
3:09 were writing code to steal millions of email
3:12 addresses and flood those inboxes with junk
3:14 mail lewis's answer was called this thing
3:17 called the captcha which is these distorted characters
3:19 that you have to type um you know all over the internet whenever you're buying
3:23 tickets from ticketmaster or whatever you just
3:26 you know you get this image of messed
3:28 up characters um so we came up with that that was our idea about 200
3:33 million people take 10 seconds out of their day to fill out a captcha
3:36 and while some would sit in amazement
3:38 at their impact on humanity lewis suffered from pains
3:40 of guilt which led to his next big idea and so if you multiply 10
3:44 seconds by 200 million i started thinking okay that's that turns out to be 500
3:48 000 hours every day started thinking okay can we can we make good use
3:51 of these 500 000 hours gave to this rise to this kind of next project which was
3:55 called recaptcha so this is like a redoing of captcha um where the idea was
4:01 that as people were going to they were typing these you know over the internet
4:06 not only would they be authenticating themselves
4:08 human but they were helping us to digitize
4:11 books where did the new tech reach the new york times which was in the process
4:15 of digitizing about 150 years worth of old
4:17 newspapers lewis charged the times 42 thousand
4:20 dollars for every year of content he digitized
4:23 we could digitize an entire year of content
4:25 in about a week so pretty quickly we started getting checks for 42 000 bucks
4:29 like you know about one a week lewis founded recaptcha in 2006 and sold it
4:34 to google in 2009 for an undisclosed sum but he said it was in the tens
4:38 of millions of dollars in 2006 lewis
4:41 was awarded the macarthur fellowship also known
4:43 as the genius grant that came with five
4:45 hundred thousand dollars and no strings attached
4:47 it's not like you apply for it or anything just one day you get a phone
4:51 call and they just ask if they're fortunately i picked up the phone because
4:57 you know nowadays if i get a random phone call i do not pick up
5:00 the phone so what did you do with the five hundred thousand dollars put
5:03 in the bank account uh uh honestly i
5:06 probably spent it mostly on a little seed funding
5:12 for this recapture so um where did the aha moment for a language service come
5:22 about where did this happen yeah that was so i was that was around 2009 2010
5:28 um i had sold recapture to google i had a phd student named severin hacker who
5:34 is my co-founder at duolingo at the time
5:36 we hadn't started anything one of the insights
5:38 was you know computers are getting much smarter and we could make it so
5:42 that computers really could teach everybody as opposed
5:44 to teachers having teach everybody that was kind
5:46 of the idea now that they knew they wanted to teach they just needed to agree
5:50 on a subject eventually we settled on teaching
5:52 languages and the reason for that was
5:55 because both of us have you know both of us learned english so we
6:00 thought okay let's do something to teach
6:02 english the other thing that we really wanted
6:04 to do was we really sought technology as a way to to be able to really
6:10 democratize education beautiful thing with technology is
6:13 that it doesn't cost you that much more
6:14 to teach more people than just to teach one person um so we thought okay
6:18 well we teach everybody and and we can teach them for free and just like
6:22 that duolingo was born well sort of so um how do you come up
6:26 with the name duolingo we looked at a lot of names one of the ones um was
6:34 f-l-o-o-n-t which should sound kind of like
6:36 fluent but it more sounded like fluent
6:39 and then you know my friend said oh that sounds like i flunked it all over
6:42 the floor like it's like not good um so we had we had a bunch
6:46 of names eventually we came up with not
6:48 duolingo but monolingual and and that sounded like
6:52 a like an illness like you have monolingual and at some point just duolingo made
6:57 a lot of sense now that they had a name and a mascot it was
6:59 time to turn their idea into a business instead of applying for a grant through
7:03 carnegie mellon in 2012 lewis reached out
7:06 to union square investors and secured three million dollars
7:09 in seed funding they had just invested in like twitter and tumblr and they were
7:13 like the biggest thing out there and foursquare
7:15 was also the biggest thing out there
7:16 and so unesco advantages was like oh my god like amazing okay so um can
7:21 you tell me the amount that series a from union square was yeah i mean one
7:25 thing that is important to mention is series a back then this is the year
7:28 2012 we're very different than csa's today
7:30 which today is just massive so in 2012
7:33 a very nice series a that you were happy with was three million dollars three
7:39 million today that's not even called a series
7:41 eight today's like seed funding around that time
7:44 lewis gave a ted talk and at the end he made mention of this really
7:48 cool new application focusing on language that he
7:50 was working on well that talk went
7:52 viral and soon duolingo which at the time was just a landing page with a place
7:58 to put an email address had a waiting list with over 300 000 names
8:02 on it at the time the other thing that was going on at the time
8:04 was uh there wasn't really a good way to learn a language on the computer i
8:08 mean the thing that there was was rosetta stone and it was like super expensive
8:11 it was like a thousand bucks and so there was this thing that just you can
8:14 learn a language here it's entirely for free and so a lot of people were
8:17 like yeah sure i'll give you my um my email um and so you know
8:21 that worked out pretty well the instantaneous interest
8:24 in duolingo and his proven track record helped
8:27 lewis raise even more capital 183 million
8:30 in all he used almost all of that early
8:32 investment money to build out a team and for the next three years he focused
8:36 solely on growing his user base he
8:38 didn't even think about monetization up until 2017-ish
8:44 duolingo was making no money this was uh not it was our finances were very
8:48 simple simply we spent money on mainly
8:51 people's salaries and that was at that point
8:55 though we decided it's probably time to make
8:57 duolingo be a self-sustaining business and we
8:59 started actually monetizing and it has worked
9:02 out very well by now lewis says duolingo
9:04 had about 10 million active users and was
9:06 the number one education app in the world
9:09 now they just had to figure out how to make money while keeping the app
9:12 free we didn't just want to say you know turn around and say oh just
9:15 kidding um now you gotta pay so what we ended up doing is we ended
9:20 up coming up with a business model that ends up being pretty similar to say
9:23 what spotify does or what the dating apps do which is um you can use
9:27 duolingo as much as you want for free but uh um if you don't pay
9:31 us you have to see some ads at the end of a lesson and then
9:35 if you want to turn off the ads you can pay us to subscribe and then
9:38 we turn off the ass and we may give you other kind of premium features
9:41 so that that combo of ads and subscription worked out really well um and so
9:46 we ended up making a you know every year since then we've made more and more
9:50 money a full 94 of duolingo's active
9:52 monthly users opt for the free version which
9:55 includes some ads but the company makes most of its revenue from the other six
9:59 percent of its users who were paying
10:01 subscribers from six percent of our users give
10:04 us the majority of our money by now there are more people in the u.s
10:07 learning languages on duolingo than there are
10:09 students learning languages in all u.s high schools
10:11 combined and one of the reasons for duolingo
10:13 success is that it feels like a game
10:15 in fact the app keeps track of how many consecutive days a user logs
10:19 in skip a day and it goes to zero we have over by by now i
10:24 mean we haven't quite released the the figure
10:27 but we have released this one which
10:28 is we have over a million daily active users who have a streak longer than 365.
10:36 so we have more than they haven't missed a single day in the last year
10:43 what day did you ipo what was it like for you personally were you nervous do
10:47 you remember the moment it was extremely exciting
10:49 and it's a big milestone for the company and for everybody who has been working
10:52 on this i mean duolingo has really good employee
10:55 retention as in like people really rarely leave
10:57 duolingo so most of the original team is
10:59 still here and so there's been all these people that have been at this for you
11:02 know the last i don't know eight nine years um so it was pretty transformative
11:06 what happened to the share price our share price was 102 um it went it went
11:12 really high i mean uh uh the first trade was 140 i don't know maybe 141
11:18 or something like that some i don't know the exact number is around 140 and then
11:22 it just kept going up et cetera you don't know like that would be like
11:25 plastered on my wall is like a big memory you know share price is uh i'm
11:31 i i i was told by a lot of ceos of public traded companies not
11:36 to pay too much attention to share price
11:38 and i've been doing that and it's actually
11:39 really good feedback here's basically what your share
11:42 price moves randomly with like basically no connection
11:47 to what's going on with the company what
11:48 was the biggest money mistake you've made along
11:50 the way with duolingo i don't feel bad about anything we've done by the time
11:55 we went public we still had a hundred
11:57 and some million dollars in the bank account
11:59 meaning we had only really spent 80 million of course we had been making some
12:03 revenue the last few years etc but basically
12:05 we could have raised a lot less money
12:08 and by raising a lot less money you know i think um boss employees me
12:12 and the rest of the employees would have
12:14 owned a larger fraction of the company when i
12:22 was talking to the management team about uh
12:24 interviewing you uh one of the other senior
12:26 producers said that she had gotten very far
12:29 um in the in the interview process at duolingo
12:31 you guys flew her out to pittsburgh you put her up and she said
12:35 that even though she didn't get the position
12:37 the culture and the vibe at duolingo stayed
12:40 with her and she was like nate you have to ask about that culture and so it
12:46 dawned on me when you were telling me
12:48 about this candy factory that you watched and then
12:52 hearing about the culture that you created
12:53 and i'm wondering if you can kind of sew
12:55 that up for me like what you learned there and what you apply now most
12:58 tech companies there's a lot of employee churn
13:00 meaning like people leave the company etc very
13:03 few people leave dual language because it's
13:04 a good workplace and i think that there's two
13:06 reasons for that i think the you know what i what i saw with with my family
13:10 and this is not it's not that my family was doing anything bad or anything
13:14 it just in in a in a country like guatemala uh there really is a kind
13:20 of a boss versus employee like us versus them kind of thing and and i
13:24 saw that that really didn't work i mean
13:26 it's much better when when everybody is much
13:28 more egalitarian culture so duolingo has a you
13:31 know in as much as possible a very
13:32 egalitarian culture that's one thing the other
13:34 thing is you know when when we were
13:36 at carnegie mellon carnegie mellon is an excellent
13:38 university i have nothing bad to say about
13:40 it it is really an excellent university
13:42 um excellent for artificial intelligence for all kinds
13:44 of things but it is a stressful place
13:49 and people when you enter the buildings there
13:52 you people aren't happy they're just they're kind of just it's not good it's not
13:57 a happy place um and uh you know one of the things that severan and i decided
14:02 early on when we were starting a company
14:03 is like look whatever happens uh you know
14:06 our company should be a happy place lewis
14:08 has a unique way of weeding out potentially
14:11 toxic employees i'll tell you some of the things we've done by the way even
14:14 for executives um whenever we fly an executive
14:18 for an interview or or not just accept it
14:21 for a lot of people whenever we fly them uh um we have a driver
14:24 go pick them up in the airport and we have a set of drivers that are
14:27 the same everywhere we actually that's part
14:30 of your interview and people don't know it
14:32 um it is how you treat them and so we we get feedback from the drivers
14:37 about how well they were treated and so now normally that most people are just
14:42 perfectly fine like just like that but we have we have not made offers to very
14:46 very um qualified competent people because they were
14:49 nasty to our driver and well uh we
14:51 don't like that because that just means you're
14:53 gonna um you know you're gonna be nasty
14:55 to the little people and we don't want that and so so yeah i think
14:59 that that type of stuff has really helped
15:02 lewis businesses have been incredibly successful and yet
15:06 they all seem to serve a greater purpose
15:08 the picture matching game had the added benefit
15:10 of generating seo terms captcha helped yahoo
15:13 and many many other digital businesses decipher between humans
15:16 and robots and recaptcha is helping to digitize
15:19 the world's books these ideas have made
15:22 lewis incredibly wealthy but he's most proud
15:25 of the culture he created at duolingo a lot
15:27 of the people that come work at duolingo
15:29 do so because they love this mission of you
15:31 know developing the best education in the world
15:33 and making it uh you know universally available you