duolingo
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Duolingo filed to go public yesterday, giving the world a deep look inside its business results and how the pandemic impacted the edtech unicorn’s performance. TechCrunch’s initial read of the company’s filing was generally positive, noting that its growth was impressive and its losses modest; Duolingo recently began making money on an adjusted basis.
While the company’s top-level numbers are impressive, we want to go one level deeper to grow our understanding of the company beyond our EC-1.
Duolingo is likely entering a period in which it will have to invest heavily in features like pronunciation, efficacy and new apps — which could come at a steep upfront cost.
First, we’ll explore the growth of Duolingo’s total user base, how much money it makes per active user, and how effectively the company has managed to convert free users to paid products over time. The numbers will set us up to understand what else can be learned about Duolingo’s business beyond our original deep dive into the company’s finances — specifically underscoring the pressure cooker it finds itself in when looking for new revenue sources.
Starting with Duolingo’s growth in total active users, guess how fast they rose from 2019 to 2020. Hold that number in your head.
The actual numbers are as follows: In 2019, Duolingo closed the year with 27.3 million monthly active users (MAUs); it wrapped 2020 with 36.7 million MAUs. That’s a gain of 34%. If we narrow our gaze to Q1 2021 numbers compared to Q1 2020, we can see that Duolingo’s MAUs rose from 33.5 million to 39.9 million, or growth of around 19%.
The bulk of Duolingo’s growth, then, came in early 2020 when we consider its pandemic bump. Put more simply, the company scaled from 27.3 million MAUs at the end of 2019 to 33.5 million MAUs at the end of Q1 2020; from then, the company added 3.2 million more MAUs throughout 2020 and 6.4 million during the next four quarters.
Another lens through which to view the numbers is simply a recognition that first-quarter results at Duolingo appear to be stronger than results in the rest of the year, perhaps due to New Year’s resolutions to learn a new language or brush up on a second language learned in high school.
Next, let’s examine Duolingo’s monetization efforts regarding converting free users to paying users.
Here we can see a very different growth story. While the company’s MAUs rose 34% from 2019 to 2020, the company’s paying users rose from 900,000 at the end of 2019 to 1.6 million at the end of 2020. That is a far sharper gain of 84% on a year-over-year basis.
So, while Duolingo did see material user growth during 2020, it saw turbocharged expansion in the users it was able to shake revenue from. Improved monetization, more than acceleration in user growth, was the pandemic’s effect on Duolingo.
What can we see in the company’s more recent results? From Q1 2020 to Q1 2021, Duolingo’s paid subscribers rose from 1.1 million to 1.8 million, a gain of around 64%. That was a slower pace than the company managed more generally in 2020, which matches Duolingo’s slower revenue growth in Q1 2021 than it recorded in 2020.
The number is still strong, we think. But not as impressive as the more than 100% revenue expansion that the company put on the board last year.
In percentage terms, 3.3% of Duolingo’s MAUs were paid subscribers in 2019. That figure rose to 4.4% in 2020. And in Q1 2021, it reached 4.5%. Duolingo rounds that number to 5% in its S-1, which feels somewhat aggressive to us, given the somewhat modest pace at which the metric is improving. Here’s the wording:
As of March 31, 2021, approximately 5% of our monthly active users were paid subscribers of Duolingo Plus. Our paid subscriber penetration has increased steadily since we launched Duolingo Plus in 2017 and, combined with our user growth, has led to our revenue more than doubling every year since.
A gain of 0.1 percentage point in a quarter is growth, we suppose.
Next, let’s chat about revenue per MAU. To get consistent numbers, we’ll divide quarterly revenues by MAU figures from the same period. So, we’ll compare Q4 2019 revenue at Duolingo with its year-end MAU figure. We’ll do the same for 2020, and for Q1 2021 we’ll use both numbers from that period.
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Disasters may not always be man-made, but they are always responded to by humans. There’s a whole panoply of skills and professions required today to respond to even the tiniest emergency, and that doesn’t even include the needs during pre-disaster planning and post-disaster recovery. It’s not a very remunerative industry for most and the mental health effects from stress can linger for decades, but the mission at the core of this work — to help people in the time of their greatest need — is what continues to attract many to partake in this never-ending battle anyway.
In the last three parts of this series on the future of technology and disaster response, I’ve focused on, well, technology, and specifically the sales cycle for new products, the sudden data deluge now that Internet of Things (IoT) is in full force, and the connectivity that allows that data to radiate all around. What we haven’t looked at enough so far is the human element: the people who actually respond to disasters as well as what challenges they face and how technology can help them.
So in this fourth and final part of the series, we’ll look at four areas where humans and technology intersect within disaster response and what future opportunities lie in this market: training and development, mental health, crowdsourced responses to disasters, and our doomsday future of hyper-complex emergencies.
Most fields have linear approaches to training. To become a software engineer, students learn some computer science theory, add in some programming practice, and voilà (note: your mileage may vary). To become a medical doctor, aspiring physicians take an undergraduate curriculum teeming with biology and chemistry, head to medical school for two deadened years of core anatomy and other classes and then switch into clinical rotations, a residency, and maybe fellowships.
But how do you train someone to respond to emergencies?
From 911 call takers to EMTs and paramedics to emergency planning officials and the on-the-ground responders who are operating in the center of the storm as it were, there are large permutations in the skills required to do these jobs well. What’s necessary aren’t just specific hard skills like using call dispatch software or knowing how to upload video from a disaster site, but also critically-important softer skills as well: precisely communicating, having sangfroid, increasing agility, and balancing improvisation with consistency. The chaos element also can’t be overstated: every disaster is different, and these skills must be viscerally recombined and exercised under extreme pressure with frequently sparse information.
A whole range of what might be dubbed “edtech” products could serve these needs, and not just exclusively for emergency management.
Communications, for instance, isn’t just about team communications, but also communicating with many different constituencies. Aaron Clark-Ginsberg, a social scientist at RAND Corporation, said that “a lot of these skills are social skills — being able to work with different groups of people in culturally and socially appropriate ways.” He notes that the field of emergency management has heightened attention to these issues in recent years, and “the skillset we need is to work with those community structures” that already exist where a disaster strikes.
As we’ve seen in the tech industry the last few years, cross-cultural communication skills remain scarce. One can always learn this just through repeated experiences, but could we train people to develop empathy and understanding through software? Can we develop better and richer scenarios to train emergency responders — and all of us, really — on how to communicate effectively in widely diverging conditions? That’s a huge opportunity for a startup to tackle.
Emergency management is now a well-developed career path. “The history of the field is very fascinating, [it’s] been increasingly professionalized, with all these certifications,” Clark-Ginsberg said. That professionalization “standardizes emergency response so that you know what you are getting since they have all these certs, and you know what they know and what they don’t.” Certifications can indicate singular competence, but perhaps not holistic assessment, and it’s a market that offers opportunities for new startups to create better assessments.
Like many of us, responders get used to doing the same thing over and over again, and that can make training for new skills even more challenging. Michael Martin of emergency data management platform RapidSOS describes how 911 call takers get used to muscle memory, “so switching to a new system is very high-risk.” No matter how bad existing software interfaces are, changing them will very likely slow every single response down while increasing the risk of errors. That’s why the company offers “25,000 hours a year for training, support, integration.” There remains a huge and relatively fragmented market for training staff as well as transitioning them from one software stack to another.
Outside these somewhat narrow niches, there is a need for a massive renaissance in training in this whole area. My colleague Natasha Mascarenhas recently wrote an EC-1 on Duolingo, an app designed to gamify and entrance students interested in learning second languages. It’s a compelling product, and there is no comparative training system for engaging the full gamut of first responders.
Art delaCruz, COO and president of Team Rubicon, a non-profit which assembles teams of volunteer military veterans to respond to natural disasters, said that it’s an issue his organization is spending more time thinking about. “Part of resilience is education, and the ability to access information, and that is a gap that we continue to close on,” he said. “How do you present information that’s more simple than [a learning management system]?” He described the need for “knowledge bombs like flash cards” to regularly provide responders with new knowledge while testing existing ideas.
There’s also a need to scale up best practices rapidly across the world. Tom Cotter, director of emergency response and preparedness at Project Hope, a non-profit which empowers local healthcare workers in disaster-stricken and impoverished areas, said that in the context of COVID-19, “a lot of what was going to be needed [early on] was training — there were huge information gaps at the clinical level, how to communicate it at a community level.” The organization developed a curriculum with Brown University’s Watson Institute in the form of interactive PowerPoints that were ultimately used to train 100,000 healthcare workers on the new virus, according to Cotter.
When I look at the spectrum of edtech products existing today, one of the key peculiarities is just how narrow each seems to focus. There are apps for language learning and for learning math and developing literacy. There are flash card apps like Anki that are popular among medical students, and more interactive approaches like Labster for science experiments and Sketchy for learning anatomy.
Yet, for all the talk of boot camps in Silicon Valley, there is no edtech company that tries to completely transform a student in the way that a bona fide boot camp does. No startup wants to holistically develop their students, adding in hard skills while also advancing the ability to handle stress, the improvisation needed to confront rapidly-changing environments, and the skills needed to communicate with empathy.
Maybe that can’t be done with software. Maybe. Or perhaps, no founder has just had the ambition so far to go for broke — to really revolutionize how we think about training the next generation of emergency management professionals and everyone else in private industry who needs to handle stress or think on their feet just as much as frontline workers.
That’s the direction where Bryce Stirton, president and co-founder of public-safety company Responder Corp, has been thinking about. “Another area I am personally a fan of is the training space around VR,” he said. “It’s very difficult to synthesize these stressful environments,” in areas like firefighting, but new technologies have “the ability to pump the heart that you need to experience in training.” He concludes that “the VR world, it can have a large impact.”
When it comes to trauma, few fields face quite the challenge as emergency response. It’s work that almost by definition forces its personnel to confront some of the most harrowing scenes imaginable. Death and destruction are given, but what’s not always accounted for is the lack of agency in some of these contexts for first responders — the family that can’t be saved in time so a 911 call taker has to offer final solace, or the paramedics who don’t have the right equipment even as they are showing up on site.
Post-traumatic stress is perhaps the most well-known and common mental health condition facing first responders, although it is hardly the only one. How to ameliorate and potentially even cure these conditions represents a burgeoning area of investment and growth for a number of startups and investors.
Risk & Return, for instance, is a venture firm heavily focused on companies working on mental health as well as human performance more generally. In my profile of the firm a few weeks ago, managing director Jeff Eggers said that “We love that type of technology since it has that dual purpose: going to serve the first responder on the ground, but the community is also going to benefit.”
Two examples of companies from its portfolio are useful here to explore as examples of different pathways in this category. The first is Alto Neuroscience, which is a stealthy startup founded by Amit Etkin, a multidisciplinary neuroscientist and psychiatrist at Stanford, to create new clinical treatments to post-traumatic stress and other conditions based on brainwave data. Given its therapeutic focus, it’s probably years before testing and regulatory approvals come through, but this sort of research is on the cutting-edge of innovation here.
The second company is NeuroFlow, which is a software startup using apps to guide patients to better mental health outcomes. Through persistent polling, testing, and collaboration with practitioners, the company’s tools allow for more active monitoring of mental health — looking for emerging symptoms or relapses in even the most complicated cases. NeuroFlow is more on the clinical side, but there are obviously a wealth of wellness startups that have percolated in recent years as well like Headspace and Calm.
Outside of therapeutics and software though, there are entirely new frontiers around mental health in areas like psychedelics. That was one of the trends I called out as a top five area for investment in the 2020s earlier this year, and I stand by that. We’ve also covered a startup called Osmind which is a clinical platform for managing patients with a psychedelic focus.
Risk & Return itself hasn’t made an investment in psychedelics yet, but Bob Kerrey, the firm’s board chairman and the former co-chair of the 9/11 Commission as well as former governor and senator of Nebraska, said that “it’s difficult to do this if you are the government, but easier to do this in the private sector.”
Similar to edtech, mental health startups might get their start in the first responder community, but they are hardly limited to this population. Post-traumatic stress and other mental health conditions affect wide swaths of the world’s population, and solutions that work in one community can often translate more broadly to others. It’s a massive, massive market, and one that could potentially transform the lives of millions of people for the better.
Before moving on, there’s one other area of interest here, and that is creating impactful communities for healing. First responders and military veterans experience a mission and camaraderie in their service that they often lack once they are in new jobs or on convalescence. DelaCruz of Team Rubicon says that one of the goals of bringing veterans to help in disaster regions is that the veterans themselves “reconnect with identity and community — we have these incredible assets in these men and women who have served.” It’s not enough to just find a single treatment per patient — we oftentimes need to zoom out to the wider population to see how mental health ripples out.
Helping people find purpose may not be the easiest challenge to solve as a startup, but it’s certainly a major challenge for many, and an area fermenting with new approaches now that the the social networking wave has reached its nadir.
Decentralization has been all the rage in tech in recent years — just mention the word blockchain in a TechCrunch article to get at least 50 PR emails about the latest NFT for a toilet stain. While there is obviously a lot of noise, one area where substance may pan out well is in disaster response.
If the COVID-19 pandemic showed anything, it was the power of the internet to aggregate as well as verify data, build dashboards, and deliver highly-effective visualizations of complex information for professionals and laypeople alike. Those products were developed by people all around the world often from the comfort of their own homes, and they demonstrate how crowds can quickly draft serious labor to help respond to crises as they crop up.
Jonathan Sury, project director at the National Center for Disaster Preparedness at the Earth Institute at Columbia University, said that “COVID has really blown so much of what we think about out of the water.” With so many ways to collaborate online right now, “that’s what I would say is very exciting … and also practical and empowering.”
Clark-Ginsberg of RAND calls it the “next frontier of disaster management.” He argues that “if you can use technology to broaden the number of people who can participate in disaster management and respond to disasters,” then we might be reaching an entirely new paradigm for what effective disaster response will look like. “Formal structures [for professional frontline workers] have strengthened and that has saved lives and resources, but our ability to engage with everyday responders is still something to work on.”
Many of the tools that underpin these crowdsourced efforts don’t even focus on disasters. Sury pointed to Tableau and data visualization platform Flourish as examples of the kinds of tools that remote, lay first responders are using. There are now quite robust tools for tabular data, but we’re still relatively early in the development of tools for handling mapping data — obviously critical in the crisis context. Unfolded.ai, which I profiled earlier this year, is working on building scalable geospatial analytics in the browser. A lot more can be done here.
Oftentimes there are ways to coordinate the coordinators. Develop for Good, which I looked at late last year, is a non-profit designed to connect enterprising computer science students to software and data projects at non-profits and agencies that needed help during the pandemic. Sometimes these coordinators are non-profit orgs, and sometimes, just very active Twitter accounts. There’s a lot more experimentation possible on how to coordinate efforts in a decentralized way while still engaging with professional first responders and the public sector.
Speaking of decentralization, it’s even possible that blockchain could play a role in disaster and crisis response. Many of these opportunities rest on using blockchain for evidence collection or for identity. For example, earlier this week Leigh Cuen took a careful look at an at-home sexual assault evidence collection kit from Leda Health that uses the blockchain to establish a clear time for when a sample was collected.
There is a lot more potential to harness the power of crowdsourcing and decentralization, and many of these projects have applications far outside disaster management itself. These tools not only solve real problems — they provide real community to people who may not be related to the disaster itself, but are enthusiastic to do their part to help others.
In terms of startups, the three markets I identified — better training, better mental health, and better crowdsourcing collaboration tools, particularly around data — collectively represent a very compelling set of markets that will not only be valuable for founders, but can rapidly improve lives.
In his book Normal Accidents, Charles Perrow talks about how an increasing level of complexity and coupledness in our modern technical systems all but guarantee disasters to occur. Add in a warming world as well as the intensity, frequency, and just plain unusualness of disasters arriving each year, and we are increasingly seeing entirely novel forms of emergencies we have never responded to before. Take most recently the ultra-frigid conditions in Texas that sapped power from its grid, leading to statewide blackouts for hours and days in some parts of the state.
Clark-Ginsberg said, “We are seeing these risks emerge that aren’t just typical wildfires — where we have a response structure that we can easily setup and manage the hazard, [we’re] very good at managing these typical disasters. There are more of these atypical disasters cropping up, and we have a very hard time setting up structures for this — the pandemic is a great example of that.”
He describes these challenges as “trans-boundary risk management,” disasters that cross bureaucratic lines, professions, societies, and means of action. “It takes a certain agility and the ability to move quickly and the ability to work in ways outside typical bureaucratic structures, and that is just challenging full stop,” he said.
Even as we begin to have better point solutions to the individual problems that disasters and their responses require, we can’t be remiss in neglecting the more systematic challenges that these emergencies are bringing to the fore. We have to start thinking about bringing humans together faster and in more novel ways to be the most effective, while coupling them flexibly and with agility to the best tools that meet their needs in the moment. That’s probably not literally “a startup,” but more a way of thinking about what it means to construct a disaster response fresh given the information available.
Amanda Levin, a policy analyst at the Natural Resources Defense Council, said that “even if we mitigate, there are huge pressures and huge impacts today from a warming world … even if we stop emissions today, [they] will still persist.” As one of my interviewees in government service who asked to go unnamed noted about disaster response, “You always are coming up short somewhere.” The problems are only getting harder, and we humans need much better tools to match the man-made trials we created for ourselves. That’s the challenge — and opportunity — for a tough century ahead.
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At the heart of Duolingo is its mission: to scale free education and increase income potential through language learning. However, the same mission that has helped it grow to a business valued at $2.4 billion with over 500 million registered learners, has led to tensions that continue to define the business.
How do you survive as a startup if you don’t want to charge users? How do you design a startup that isn’t too hard to lose people, but isn’t too easy to compromise education? How do you balance monetization goals while also keeping education as a product free?
For my first EC-1, I spent months with Duolingo executives, investors, and of course, competitors, to answer some of these questions.
One of my favorite details in the story that got left on the cutting room floor was Duolingo co-founder and CEO Luis von Ahn comparing his company to the elliptical. I was pressing him on the efficacy of Duolingo, and the long-standing critique that it still can’t teach a user how to speak a language fluently.
“Now, there’s a difference between whether you know you’re doing the elliptical or yoga or running, but by far, the most important thing is that you’re doing something [other than] just walking around,” he said.
What von Ahn is getting at is that Duolingo’s biggest value proposition is that it helps people get motivated to learn a language, even if it’s just five minutes — or an elliptical workout — a day. He thinks motivation is harder than the learning itself. Do you agree?
If you enjoyed my series, make sure to check out other EC-1s and subscribe to ExtraCrunch to support me, this newsletter and the rest of the team. I’d also love it if you followed me on Twitter @nmasc_.
In the rest of this newsletter, we’ll talk about Tesla, the morality of going public and verticalized telehealth.
When I was working in Boston, the newsroom saying was “there’s always a Boston Angle.” In a remote, tech-dominated world, I’ll tweak it: There’s always a Tesla angle. While we all prepare for Elon Musk to grace the SNL stage, there’s a story you might want to check out.
Here’s what to know: Tesla tapped a small Canadian startup to build cleaner and cheaper batteries. The price tag will shock you, but the story tells a bigger narrative about patented technology, and the outsized impact that a tiny startup has on Tesla’s route to batteries.
Literally moving us along:
Image Credits: Getty Images
While Equity usually keeps it light and punny, we chewed into a deeper topic this week: the morality of going public. Startups are staying private longer than ever before, but one CFO argues that it’s a moral obligation to leave the nest and provide returns to the general public. We had that CFO on the show, along with another CFO at a company pursuing a SPAC. It ended up being the most interesting clash of the CFOs I’ve been a part of.
Here’s what to know: The growth of venture capital as an asset class has a role to play in this whole mess and has kept the nest warm for many startups. We talk about if the tides are turning, or we’re saying goodbye to a world in which a company like Salesforce would debut price for $11 per share.
While you’re focused on Twitter’s tip jar, here’s other money news you may have missed in the meantime:
Image Credits: Getty Images / dane_mark
As I start to cover digital health, one of the biggest questions I ask and get asked is where telehealth goes from here. Virtual caretaking had an uptick in usage because of the pandemic but is now starting to slow as the world reopens and vaccinations are on the rise. For telehealth startups, it means crafting a pitch that explains why virtual care makes sense for the conditions you serve.
Here’s what to know: I talked about how to become pandemic-proof in healthcare with Expressable, a virtual speech therapy startup that just raised millions in venture capital money. Part of the startups’ product differentiation is an edtech platform that motivates consumers to asynchronous practice speech exercises with the help of parents and friends.
And down the rabbit hole we go:
Image Credits: Getty Images / drante
And that’s that. Thank you for reading along and supporting me. I’ll never get over it.
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Education may well be the most important activity we conduct as a society — and it may also be the hardest space to build a startup in. Selling to school districts and universities is notoriously difficult, but enticing consumers is even harder. Learning takes focus, patience, tenacity and resources, and most consumers would prefer to watch some lip-sync videos on TikTok than stare at math equations (not to mention that such entertainment is free). Engagement and education feel aggressively at odds, which limits the way that startups can scale and succeed.
Yet, the revulsion VCs have traditionally had for the space has slowly dissipated over the past 10 years. Consumer and enterprise startups in edtech are increasingly attracting funding, and there is a growing crop of edtech-focused investors who are betting big on the future here. What’s changed isn’t the market or its potential, but rather the perception that ambitious and sustainable companies can truly be built in education.
One of the companies that has led the charge in transforming those perceptions is Pittsburgh-based Duolingo. It’s a language-learning app that has caught fire. From humble origins a decade ago as a translation platform for news agencies, it’s now used by 500 million people across the world to learn Spanish, English, French and more, all while generating bookings of $190 million in 2020. It’s a smashing success, but a success that was hard earned after a years-long effort of product and revenue experimentation to find its current niche.
TechCrunch’s writer and analyst for this EC-1 is Natasha Mascarenhas. Mascarenhas has been covering edtech from the very first day she joined TechCrunch as a venture capital and startups writer, and she has built up a reputation as a fearless chronicler of this increasingly vital ecosystem. The lead editor of this package was Danny Crichton, the copy editor was Richard Dal Porto, and illustrations were created by Nigel Sussman.
Duolingo had no say in the content of this analysis and did not get advance access to it. Mascarenhas has no financial ties to Duolingo or other conflicts of interest to disclose.
The Duolingo EC-1 comprises four main articles numbering 12,200 words and a reading time of 48 minutes. Here’s what’s in store:
And finally, note that Duolingo CEO and co-founder Luis von Ahn is coming to Disrupt, so make sure to grab your tickets because the conversation will continue there.
We’re always iterating on the EC-1 format. If you have questions, comments or ideas, please send an email to TechCrunch Managing Editor Danny Crichton at danny@techcrunch.com.
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Luis von Ahn, an entrepreneur who has dedicated his career to scaling free education, has probably annoyed you more than once. In fact, you’ve likely been annoyed by his work dozens and maybe hundreds of times over the years.
A decade before he co-founded the whimsical and language-learning app Duolingo, one of the most popular education apps in the world with over 500 million downloads and 40 million active users, he was building the technology that would become CAPTCHA, those human-annoying but bot-preventing little tests that pop up when registering or logging in to popular internet services like email.
It may seem like a radical pivot, but in fact, the lessons of how to create useful security tests at scale for consumers would one day offer the core DNA for building one of the most successful edtech companies in the world. The immigrant entrepreneur would soon learn himself that crowdsourcing, language and a willingness to adapt and ignore critics could change the face of an industry forever.
Von Ahn grew up in Guatemala City, where he saw firsthand the wretched state of public schools in impoverished countries. His mother spent most of her income sending him to “fancy private school” as he puts it, and he estimates she spent over $1 million on his education over his lifetime. The price tag weighed on him, and he knew he wanted to broaden access to education in the future.
After attending Duke as an undergrad, von Ahn was an enterprising first-year computer science Ph.D. student at top-ranked Carnegie Mellon University when he attended a talk by Yahoo’s chief scientist about 10 of Yahoo’s biggest headaches. One issue stood out: hackers were creating bots that register thousands of email addresses to send spam.
Inspired and full of immigrant grit, von Ahn and a team led by his then-adviser Manuel Blum created a nifty little test that could distinguish between bots and humans. The test, called a CAPTCHA, presented squiggly, ink-blotted words whenever a user tried to log in. Computer vision at the time couldn’t read the obscured text, but humans easily could — creating a useful signal. The deceptively simple test worked, so von Ahn, then a 20-something student, gave it to Yahoo for free, not understanding the value it would one day have.
Luis von Ahn, the inventor of CAPTCHA and reCAPTCHA, and co-founder of Duolingo. Image Credits: Duolingo
A fire was lit. With Yahoo as a distribution channel, CAPTCHA tests exploded in popularity, becoming an almost universally recognizable security checkpoint feature. At their peak, people spent 500,000 hours a day typing up to 200 million CAPTCHAs around the world. About 10% of the world’s population had recognized at least one word, von Ahn estimates.
For all the technology’s success, though, there was a downside. “During those 10 seconds while you’re typing in a CAPTCHA, your brain is doing something that computers can’t do, which is amazing,” von Ahn said. But the tests were annoying and pointless, so he wondered, “Could we get those 500,000 hours a day to do something useful for humanity?”
So in 2005, he launched reCAPTCHA. These new tests would have the same goal of CAPTCHA, but with a twist: the prompts would all be scans of books. Users would complete the security test while also helping to digitize books for the Internet Archive.
The early design of reCAPTCHA. Image Credits: Duolingo
This time, von Ahn knew his nifty idea was worth something. In 2009, he sold reCAPTCHA to Google, a transaction conducted just a year after the internet giant had purchased a license to one of his other research projects, a game focused on image labeling.
Luis von Ahn presenting about reCAPTCHA and CAPTCHA, two of his iconic inventions. Image Credits: Duolingo
The acquisition offered not just a monetary award (exact terms of the deal were not disclosed), but also suddenly garnered von Ahn serious clout in the industry just a few years after acquiring his Ph.D. Yet, instead of taking up tenure at the tech company, he stayed local in Pittsburgh and became a computer science professor at his alma mater.
Entering the world of education as a professor felt like an answer to his original dream of expanding access to education. What von Ahn didn’t know, though, was that his iconic work was simply foreshadowing. Carnegie Mellon, crowdsourced translation and even Google would all play a role in his next project as well, albeit in wildly different ways: incubation, failure and investment. For him, the success of two tools that used language as a barrier was the beginning of a long journey into discovering if, and how, language could instead be a bridge. It was an insight that would grow into a startup valued at $2.4 billion with the goal of making language learning fun: Duolingo.
In 2011, edtech startups such as Coursera and Codecademy were popping up — companies that today are valued as multibillion-dollar businesses. The rise of iPads and tablets in classrooms gave permission to founders who believed the future of education was on the internet. Enthusiasm was boiling, and virtual instruction felt like a nascent, but ambitious, place to bet on.
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Duolingo CEO and co-founder Luis von Ahn was tired of the gray and dreary design aesthetic edtech companies used to emulate universities. Instead, he and the company’s early team sought inspiration from games like Angry Birds and Clash Royale, looking to build a class that screamed more cartoon anarchy than lecture hall. From that frenetic creativity came the company’s distinctive mascot: a childish and rebellious evergreen-colored owl named Duo.
Duolingo didn’t just throw out the old colors though — it wanted to completely rethink language learning from the bottom up for mobile. So it replaced top-down curriculums with analytics-driven growth strategies, becoming consumed by an ethos that has more recently been dubbed product-led growth.
Used by companies such as Calendly, Slack and Dropbox, product-led growth is a strategy in which a company iterates its product to create loyal fans-turned-customers who popularize the product with others, creating a viral growth loop. It’s an attractive route because it vastly lowers the cost of acquiring users while also increasing engagement and thus retention. Duolingo, for example, has taken this model and found ways to embed engagement hooks, pockets of joy and addictive education features within its core app.
With early venture capital in its pocket, Duolingo could afford to focus on product over profits.
In part one of this EC-1, we explored how von Ahn’s previous products around CAPTCHA led to Duolingo’s launch, the rise and fall of crowdsourced translation as a way to disrupt language learning, and the accidental iteration of a top education app by a pair of interns. The startups’ early signs of success gave it energy to focus on growth to accomplish two things: know what they’re doing works, and garner a lot of user data so it continued iterating the product into something that was ever more addicting to use.
Now, we’ll analyze how Duolingo used product-led growth as a lever to expand its consumer base, and how a company built on gamification tries to balance its whimsy with education outcomes.
Duo, Duolingo’s mascot, flying around. Image Credits: Duolingo
Tyler Murphy, having graduated from his intern position at Duolingo launching the company’s iOS app, noticed that the gaming world was rapidly innovating around him in the mid-2010s. Angry Birds was no longer the only popular game on mobile, and video games generally were getting more engaging, with in-app currencies, progress bars and an experience that felt creatively addictive. He suddenly saw connections between the entertainment that games provided and the patient learning required for languages.
“Wouldn’t it be cool if the skill got harder and harder, kind of like how a character in a game gets more powerful and powerful?” he remembers asking. Duolingo had taken early inspiration from Angry Birds as well as Clash Royale later, following that game’s launch in 2016. “Half the people at Duolingo were playing Clash Royale, at some point,” he said. “And I think that shaped our product roadmap a lot and our design language a lot.”
Games solved a problem that was acutely personal for Murphy. The employee, who would go on to become chief designer at Duolingo, had gone to college to teach Spanish to students, but ultimately left the field after struggling to inspire kids in a classroom setting. The realization that Duolingo could borrow from gaming instead of monotonous edtech companies gave an adrenaline rush — and permission — to the team to experiment with new approaches to learning.
Every game needs some form of experience points and leveling up, and for Duolingo learners, that progress comes in the form of skill trees.
These trees, which were conceived by a design agency during the company’s early development, are Duolingo’s core experience, a visual representation of language skills that are interconnected and get progressively more difficult and refined over time. Each skill is a prerequisite for another. Sometimes it’s just logic: in order to be able to speak about restaurants, you probably should be able to introduce yourself first. Sometimes, however, it’s a necessary building block: in order to speak about your routine, you should be able to speak about basic everyday activities.
In Duolingo, each unit has its own suite of skills, each of which is broken down into five lessons. Once you complete all five lessons, you can move to the next skill. Complete all skills and you can move to the next unit. Depending on the language, a user might encounter an average of 60 skills across nine different units within a course.
Duolingo Skill Tree UX in 2012. Image Credits: Duolingo
Duolingo Skill Tree UX in 2021. Image Credits: Duolingo
Duolingo had its “leveling up” model figured out, but now it had to integrate gamification into every nook and cranny of its app. One of its first challenges was rebuilding the sort of teacher-student emotional bond that can help students stay motivated to learn. No one likes to fail, and Duolingo stumbled upon a scalable approach through its cartoon owl mascot Duo — also thought of by the design agency behind the skill trees.
Whenever users succeed or fail at their lessons today, they are likely to be encouraged or admonished by Duo’s presence. Designers sprinkled Duo throughout the product, looking at Super Mario Brothers as an example of how to use iconic art to create a friendly gaming experience. In early iterations of the app, Duo was present but static, more of an icon than a personality. That changed as the company increasingly pushed harder on engagement.
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As its meandering route to monetization will demonstrate, Duolingo isn’t mission-oriented, it’s mission-obsessed.
Co-founders Luis von Ahn and Severin Hacker never wanted to charge consumers for access to Duolingo content, a purpose imbued throughout the company’s culture. For years in order to work at Duolingo, you had to be comfortable with joining a company in Pittsburgh that was in no rush to make money. The startup, filled with education enthusiasts and mission-driven employees, became “very college pizza vibes,” Gina Gotthilf, former VP of Marketing at Duolingo, described. Everyone was against making money and having structure — some employees even threatened to quit if Duolingo ever charged a cent to users.
“One thing that recruited me was this brilliance that we can kill two birds with one stone,” she said, referring to Duolingo’s original translation-service business model we talked about in part one of this EC-1. “It was obviously tied to Luis’ thinking and reCAPTCHA and it was magical and brilliant.”
Free may not have paid the bills, but it did come with a valuable upside: growth. By 2017, Duolingo would boast having 200 million users, which was double von Ahn’s goal when he first launched to the public on the TechCrunch Disrupt stage.
Duolingo launched saying it would never do advertisements, subscriptions or in-app purchases — approaches that now all exist on the platform. Today, Duolingo has a simple freemium business model that is remarkably unconventional. It has a free version with all of its learning content, and it charges a subscription of $6.99 per month for paywalled features such as unlimited hearts, no advertisements and progress tracking. It also has a number of other revenue streams it’s developing, such as language proficiency tests.
As we’ll explore, Duolingo’s route from anti-business rebel to conventional consumer subscription is complex, full of twists and turns. While Duolingo never wanted to look like other edtech companies, as we saw with its product strategy in part two, it turns out that evolving from college pizza vibes meant that it would have to take a page from its peers.
Duocon, Duolingo’s new conference to celebrate education and language. Image Credits: Duolingo
“They had users and in Silicon Valley, there was this notion that if you have users, you can turn anything into money,” said Bing Gordon, the Kleiner Perkins Caufield & Byers (KPCB) partner who led Duolingo’s $20 million Series C in 2014.
“This was not very controversial back then, at least with investors,” von Ahn said. “This became controversial for us once we raised a ton of money, and we still weren’t making more money.”
While the company’s investors were relatively lenient in the early years, patience was starting to run thin. In June 2015, Duolingo raised a $45 million Series D round led by Laela Sturdy of Google Capital (later rebranded CapitalG), valuing the company at $470 million. She invested because of Duolingo’s growth and engagement numbers, but confronted von Ahn with some direct advice.
“She said to me, ‘Look, it worked for you to continue getting bigger and bigger checks from venture capital,’” von Ahn said. “‘But this is the last time it works for you … if you’re trying to con people, you cannot con anybody bigger than us [at Google].’” Duolingo’s valuation wouldn’t just be at stake next time it went fundraising on Sand Hill Road — its very survival would be as well.
Looking back, Sturdy said that she always “had confidence that they would come up with a revenue model” because of Duolingo’s passionate and organic users.
When a startup chooses to raise venture capital, it sets itself on a heavily-prescribed course. Suddenly, success isn’t defined merely as cash-flow breakeven with a long-term sustainable business. It has to be an exit of some sorts, and a big one at that. While Duolingo used venture as a lifeline to fund its product development, venture also came with pressure to become a billion-dollar company, or more. And that meant making revenue, not just growing engagement.
Von Ahn says his conversation with Sturdy is what really changed his mindset about money. After the Google check hit Duolingo’s bank account, he and Hacker began thinking about ways to make Duolingo as much a monetary success as it had been an educational one.
Duolingo’s Pittsburgh HQ. Image Credits: Duolingo
“It was clear that Luis didn’t have commercial instincts, he had cultural instincts and a deep focus on learning,” said Gordon. “[When we invested] Duolingo predicted it was on the verge of revenue growth, and it turned out it was not on the verge of revenue growth.”
What Gordon is alluding to was a litany of monetization attempts in Duolingo’s past. Translation, which helped von Ahn’s previous two startups, didn’t work when applied to language-learning services, and the company only secured two customers before ending the service. Business partnerships, such as a relationship with Uber to certify and train drivers in Brazil to speak English, didn’t catch fire.
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Duolingo has been wildly successful. It has pulled in 500 million total registered learners, 40 million active users, 1.5 million premium subscribers and $190 million in booked revenues in 2020. It has a popular and meme-ified mascot in the form of the owl Duo, a creative and engaging product, and ambitious plans for expansion.There’s just one key question in the midst of all those milestones: Does anyone actually learn a language using Duolingo?
“Language is first and foremost a social, relational phenomenon,” said Sébastien Dubreil, a teaching professor at Carnegie Mellon University. “It is something that allows people to make meaning and talk to each other and conduct the business of living — and when you do this, you use a tone of different kinds of resources that are not packaged in the vocabulary and grammar.”
Duolingo CEO and co-founder Luis von Ahn estimates that Duolingo’s upcoming product developments will get users from zero to a knowledge job in a different language within the next two to three years. But for now, he is honest about the limits of the platform today.
“I won’t say that with Duolingo, you can start from zero and make your English as good as mine,” he said. “That’s not true. But that’s also not true with learning a language in a university, that’s not true with buying books, that’s not true with any other app.”
Luis von Ahn, the co-founder of Duolingo, visiting President Obama in 2015. Image Credits: Duolingo
While Dubreil doesn’t think Duolingo can teach someone to speak a language, he does think it has taught consistency — a hard nut to crack in edtech. “What Duolingo does is to potentially entice students to do things you cannot pay them enough time to actually do, which is to spend time in that textbook and reinforce vocabulary and the grammar,” he said.
That’s been the key focus for the company since the beginning. “I said this when we started Duolingo and I still really strongly believe it: The hardest thing about learning a language is staying motivated,” von Ahn said, comparing it to how people approach exercise: it’s hard to stay motivated, but a little motion a day goes a long way.
With an enviable lead in its category, Duolingo wants to bring the quality and effectiveness of its curriculum on par with the quality of its product and branding. With growth and monetization secured, Duolingo is no longer in survival mode. Instead, it’s in study mode.
In this final part, we will explore how Duolingo is using a variety of strategies, from rewriting its courses to what it dubs Operation Birdbrain, to become a more effective learning tool, all while balancing the need to keep the growth and monetization engines stoked while en route to an IPO.
Duolingo’s office decor. Image Credits: Duolingo
Duolingo’s competitors see the app’s massive gamification and solitary experience as inherently contradictory with high-quality language education. Busuu and Babbel, two subscription-based competitors in the market, both focus on users talking in real time to native speakers.
Bernhard Niesner, the co-founder and CEO of Busuu, which was founded in 2008, sees Duolingo as an entry-level tool that can help users migrate to its human-interactive service. “If you want to be fluent, Duolingo needs innovation,” Niesner said. “And that’s where we come in: We all believe that you should not be learning a language just by yourself, but [ … ] together, which is our vision.” Busuu has more than 90 million users worldwide.
Duolingo has been the subject of a number of efficacy studies over the years. One of its most positive reports, from September 2020, showed that its Spanish and French courses teach the equivalent of four U.S. university semesters in half the time.
Babbel, which has sold over 10 million subscriptions to its language-learning service, cast doubt on the power of these findings. Christian Hillemeyer, who heads PR for the startup, pointed out that Duolingo only tested for reading and writing efficacy — not for speaking proficiency, even though that is a key part of language learning. He described Duolingo as “just a funny game that is maybe not as bad as Candy Crush.”
One of the ironic legacies of Duolingo’s evolution is that for years it outsourced much of the creation of its education curriculum to volunteers. It’s a legacy the company is still trying to rectify.
The year after its founding, Duolingo launched its Language Incubator in 2013. Similar to its original translation service, the company wanted to leverage crowdsourcing to invent and refine new language courses. Volunteers — at least at first — were seen as a scrappy way to bring new material to the growing Duolingo community and more than 1,000 volunteers have helped bring new language courses to the app.
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Anthony Geranio has played video games for the past 13 years. The 26-year-old first-time founder of 1v1Me, a new company that lets anyone gamble on their ability to win in a player versus player game, tried to make it as a professional gamer, but when that didn’t work, he turned to the tech industry.
Geranio and his co-founder Alex Emmanuel bounced between companies like TextNow, Skillshare and Grailed to combine both of their passions — gaming and entrepreneurship — into a new company.
“The reason I got into programming was because I wanted to be my own boss one day,” Geranio said. And even though he was making $200,000 a year working at mission-driven tech companies, Geranio said he still wasn’t fulfilled.
The COVID-19 pandemic finally convinced Geranio and Emmanuel to take the plunge. All of Geranio’s friends had started lockdown whiling away the hours by playing poker online for money. Then poker turned into Call of Duty, which turned into Madden, which became whatever else the kids play these days (my gaming days ended with Mortal Kombat II).
Geranio then went to On Deck and, after graduating, began knocking on investors’ doors. The company managed to raise more than $2 million from investors, including On Deck, Erik Torenberg at Village Global, Turner Novak at GeltVC, Niv Dror at Shrug, SterlingVC, Ali Hamed at Crossbeam, Cody Hock and Cole Hock from UpNorth, Lightshed Ventures and Bettor Capital. Notable angels also wanted in on the action, including Justin Waldron, Brud founder Trevor McFedries, Ian Borthwick, Albert Cheng, Stephen Sikes and Anthony Pompliano.
The company is launching its app on the app store with an invite-only approach, with the first invites going to content creators who already play games like Call of Duty. The long-term goal is to create content creators around wagering. “We’re trying to create a network where wagering is the engagement tool,” said Geranio.
For now, the company is only supporting bets on games like Call of Duty and Fortnite. The service acts as a marketplace which exchanges contact information on a PlayStation or Xbox. To win a wager, competitors have to link their bank accounts, settle on an amount, and 1v1Me puts that money in escrow. Gamers stream their game on Twitch and 1v1Me monitors the game to determine the winner. Once the competition is over, the winner gets the money transferred to their account.
The company is launching with gamers like NoisyButters (who invested as well), Lunchtime, RLaw and Vonniezugz.
To juice signups and invites, which can either be obtained through a creator or by following the company on Twitter, where 1v1Me will give codes away, the company is also hosting a $500 challenge to whichever competitor wins the most games at the end of the week.
“When I worked at YouTube, I met many gaming creators that desired to entertain their fans and hone their skills, but it can be a struggle to make significant money along the way,” said Albert Cheng, co-lead of Socially Financed and director of Product at Duolingo. “1v1 is the most promising platform for esports gamers to make a living, and I’m thrilled to back them on their journey.”
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Fluent Forever, a startup that uses a novel learning system to help its users master a new language faster, has raised a $4.9 million funding round led by Denver-based Stout Street Capital. Other investors in this round include The Syndicate, LAUNCH, Mana Ventures, Noveus VC, Flight.VC, Insta VC, UpVentures, Firebrand Ventures, Cultivation Capital, Spero Ventures and Lofty Ventures.
In many ways, Fluent Forever is a direct competitor to Duolingo, Babbel and similar online language learning services. What sets it apart is a focus on a personalized learning system that emphasizes ear training, visual aids and something akin to spaced-repetition for helping you memorize new words and phrases. It’s a paid service (after a 14-day free trial) with subscriptions starting at $10 per month for a monthly subscription and the usual discounts for longer-term commitments.
To teach himself his first languages, the company’s founder and CEO Gabriel Wyner used the popular flashcard service Anki, wrote a book about his approach, and taught workshops on language learning using his system with Anki. But as he noted, Anki is a serious tool, and simply learning how to get the most out of it takes a lot of time and energy.
“I’ve watched everyone else fail at language learning,” he told me. “And the first thought is, okay, well, if you just learn how to do it right, then that’s a fixable thing. That’s exciting. And then once you have a solution for people and they’re all excited about it — but then you watch them fail because of IT reasons. That’s extra frustrating.”
In many ways then, Fluent Forever uses Wyner’s flashcard approach — because building those flashcards by hand is at the core of his learning system — and turns it into a far-easier-to-use application.
What people want, Wyner acknowledged, is a tool where you just press some buttons and learn something. But that doesn’t work. “I had to have a really strong reaction to this — a really strong answer — and say, ‘absolutely not. That is the one thing that teaches you is building it.’ ”
Wyner is not afraid to compare his approach to Duolingo’s and argues that its focus on translation exercises doesn’t translate to real language skills in the long run. At the same time, he freely acknowledges that the Duolingo user experience and gamification are far better than Fluent Forever. But he also believes that learners see far better results with his system.
“We ask [our users]: ‘Why are you with us? Why would you pay for us when you could just get Duolingo for free?” What they come back with is, ‘yeah, your product is rough around the edges. I wish you would fix this, this and that, but you had me thinking in Spanish in two weeks,” Wyner said.
Fluent Forever currently supports nine languages: Japanese, French, Russian, Mexican and Spanish Spanish, Italian, Korean, German and Brazilian Portuguese, with Dutch being the next language the team is tackling.
As Wyner told me, the company had trouble raising in 2019, in part because the service was seeing pretty flat growth at the time. “People are very skeptical about language learning — that is not a sexy field. People don’t like it. The idea of jumping and trying to be competitive with Duolingo was just not appealing to anyone,” he told me. Come 2020, though, growth picked up, even before the COVID pandemic. At the same time, Fluent Forever also participated in Jason Calacanis’ Launch Accelerator.
Looking ahead, Wyner tells me that Fluent Forever is looking at ways to bring live tutors into the loop. Live tutoring online has been done before, of course, and there are some companies like Preply that specialize in it already, but what Fluent Forever wants to do is combine the online language learning service with short live sessions and then use the online component to go back to that conversation over the course of a week or so. One advantage here is that these users — who will likely pay a premium for the live service — will also use their time with live tutors to create their own personalized sentences in the Fluent Forever system, which could then over time become content that’s available to all users, too.
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