May 19, 2025 · 1h 56m · 20vc
Duolingo Co-Founder, Severin Hacker: How AI Impacts the Future of Work and Education · 20VC with Harry Stebbings
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In this episode of 20VC, Duolingo Co-Founder and CTO Severin Hacker discusses the company's evolution into an AI-first educational platform while sharing crucial insights on retention, fundraising, and organizational scaling. He also offers a candid look at founder dynamics, product gamification, and the psychological realities of executive leadership.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Harry holds 21.9% of the talking time here. How this is scored →
Harry as informed peer 3.3 Guest teaching 4.7 Guest disagreement 2.8 Harry pushing back 3.3
speaking balance: gold is Harry, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 1:15:26 EU AI Act compared to Ottoman printing press ban
The guest aggressively attacks the EU AI Act as 'some of the dumbest regulation ever written', comparing European regulators to the Ottoman Empire banning the printing press.
Hardest push from Harry ▶ 1:07:28 Host offers immediate term sheet to refute European funding scarcityThe host forcefully refuses the guest's framing that European founders cannot raise local capital, offering a term sheet on the spot to demonstrate modern European VC depth.
Biggest teaching moment ▶ 43:49 Deconstructing the three pillars of higher educationThe guest systematically educates the host on why higher education isn't just instruction, breaking it down into instruction, credentials, and social networks to explain edtech startup failures.
Harry holds his own ▶ 19:11 Host uses agricultural revolution to challenge UBI dystopian narrativeThe host demonstrates strong historical perspective by invoking the agricultural revolution and combine harvesters to counter the guest's assumption of AI-driven joblessness and UBI.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Harry as informed peer | Guest teaching | Guest disagreement | Harry pushing back | Why |
|---|---|---|---|---|---|---|
| Raising Capital & The Zero-Revenue Phase | 2 | 4 | 1 | 2 | The host asks granular questions about how Duolingo uses AI to expand course generation. The guest explains the shift from human curriculum design to constraint-based AI sentence generation, establishing an educational dynamic. | |
| Personalization, Interactivity, and "Video Call with Lily" | 3 | 5 | 2 | 4 | The host pushes back on whether human curriculum design should be replaced entirely by AI based on completion data and cites Mark Zuckerberg on interactivity. The guest politely reframes how massive scale data enables on-the-fly personalized course creation. | |
| How Duolingo Builds Internally with AI Tools | 3 | 5 | 2 | 2 | The guest outlines internal AI adoption and corrects tech hype around AI replacing software engineers. He educates the host on how AI handles simple app prototypes well but struggles with tech debt in large codebases. | |
| The Evolution of CS Degrees and Converging Tech Roles | 5 | 4 | 3 | 5 | The host aggressively challenges the guest's sci-fi narrative of UBI and widespread joblessness by raising the historical parallel of the agricultural revolution and combine harvesters. The guest clarifies the value of computer science degrees in logical problem solving. | |
| Hiring University Grads, Gen Z, and Demographic Relevance | 3 | 5 | 4 | 3 | The host cites investor Jason Lemkin's view that young people don't want to work and AI will kill junior roles. The guest forcefully counters this industry consensus, arguing that junior hires bring essential fluency with new AI tools and demographic relevance. | |
| AI Unit Costs, Tiers, and Margin Implications | 3 | 5 | 1 | 2 | The host inquires about gross margin degradation from model API costs. The guest breaks down the margin difference between one-off content generation and ongoing real-time feature unit costs, explaining tier packaging. | |
| Duolingo as a Motivation Engine vs. Casual Social Media | 4 | 6 | 5 | 5 | The host presses on whether OpenAI's ChatGPT poses an existential threat to Duolingo. The guest forcefully rejects the host's premise, dismissing 'homework cheating' competitors and reframing Duolingo as a gamified motivation engine that competes with social media rather than raw LLMs. | |
| First-Class Features and the Obsession with Details | 4 | 4 | 1 | 2 | The host cites Spotify's Gustav Soderstrom regarding product details and asks about historical missteps. The guest candidly explains the mistake of building a standalone math app instead of integrating it into a single super app. | |
| Rapid Prototyping: AI and the Duolingo Chess Course | 2 | 4 | 1 | 1 | The guest explains how two employees used AI coding tools like Cursor to build a chess course prototype in record time, convincing skeptical executive leadership. | |
| Tapping into Social Potential and the Three Pillars of Higher Education | 3 | 6 | 2 | 3 | The guest educates the host on the three pillars of higher education (instruction, credentials, and social network), explaining why edtech startups usually fail by focusing only on instruction. | |
| The Impact of Push Notifications on Duolingo's Engagement | 3 | 4 | 2 | 3 | The host questions the efficacy of push notifications and pitches a loss-aversion financial penalty mechanic for broken streaks. The guest explains how notification outages directly impact daily engagement numbers. | |
| The Evolution of a CTO and Hiring the First PM | 2 | 4 | 2 | 2 | The guest recounts overriding his co-founder Luis's anti-PM bias to hire Duolingo's first Product Manager. He also explains how marketing efficiency stems from budget constraints and viral unhinged mascot content. | |
| Questioning Conventional Wisdom: Flat vs. Hierarchical Structures | 2 | 5 | 3 | 3 | The guest rejects the tech trope of flat organizations, citing the Catholic Church as proof that hierarchy is necessary at scale. He introduces his personal 'Reduce, Automate, Delegate' productivity framework. | |
| Lessons from Duolingo's Acquisitions and Founder Dynamics | 3 | 5 | 3 | 2 | The host cites Dash de Silva regarding M&A lessons. The guest shares that prior working relationships predict M&A success and dismisses fast-growing paid-acquisition competitors as leaky buckets without retention. | |
| Europe vs. Silicon Valley: Cultural Barriers and Funding Realities | 4 | 5 | 6 | 6 | A heated exchange occurs regarding European startups. The guest forcefully insists European founders must go to Silicon Valley, asserting Duolingo couldn't raise in Europe. The host pushes back aggressively, offering to write a term sheet on the spot and arguing European capital has evolved. | |
| The Pitfalls of Opening a Silicon Valley Satellite Office | 5 | 4 | 4 | 5 | The guest explains why opening a Silicon Valley satellite office is a trap that turns into a poaching funnel. The host defends staying in London over SF by citing his local VC moat against top Silicon Valley investors. | |
| European Regulation, the EU AI Act, and Entrepreneurial Spirit | 5 | 6 | 7 | 6 | The host argues that great founders like Travis Kalanick or Elon Musk are never stopped by regulation. The guest strongly disagrees, calling the EU AI Act exceptionally dumb and comparing it to the Ottoman Empire banning the printing press. | |
| The Great Startup Debate: Experienced Managers vs. Fresh Grads | 3 | 5 | 4 | 4 | The host challenges the guest's advocacy for senior managers, citing general podcast consensus against hiring experienced managers early. The guest explains why balancing junior grads with senior operators is mandatory, and recalls having only one Series A offer due to being based in Pittsburgh. | |
| Investor Signaling, Down Rounds, and Valuation Discipline | 3 | 5 | 2 | 2 | The guest breaks down venture fundraising into three deal categories (No Deal, Standard Deal, Outlier Deal) and stresses raising from Tier 1 VCs for signaling. He praises investor Bing Gordon for product focus over financial spreadsheets. | |
| The Debate on Going Public vs. Staying Private | 5 | 5 | 4 | 5 | The host challenges the necessity of going public given massive private market liquidity. The guest defends public listings, arguing public markets enforce operational predictability. The host pushes back, calling predictability expectations a fundamental weakness in uncertain times. | |
| Quick Fire: Duolingo's Hardest Days | 2 | 5 | 3 | 2 | In quick fire, the guest demystifies startup 'secret sauce', explaining that Duolingo's real advantage is its 'green machine' culture of running thousands of iterative A/B tests rather than a single killer feature. | |
| Balancing Quick Tests with Long-Term Strategy | 4 | 4 | 3 | 5 | The host challenges the limits of short-term A/B testing, using a gym compounding analogy to point out local maxima traps. The guest agrees and explains the need to balance micro-tests with bold bets like Chess and Math. | |
| Are Duolingo's Best Days Ahead? | 4 | 4 | 1 | 2 | The host brings up Green Oaks investor Neil Mehta's benchmark question on whether best days are ahead. The guest cites AI tutors as the key to fulfilling Duolingo's core mission and discusses wealth thresholds and purpose. | |
| Relationships, Fame, and the Real-Life 'Incognito Mode' | 2 | 3 | 1 | 2 | The conversation turns personal regarding marriage and fame. The guest reflects on wanting a real-life 'incognito mode' to avoid public recognition, while the host shares his 'Tuesday night test' for romantic partner selection. |
Statements from this episode (82)
Hacker: Founders should prioritize top-tier VCs even on worse terms
“You should always try to raise money from the best tier one VCs, even if the terms are slightly worse, because so much signaling.”
Hacker: Raising $3M in venture funding is harder than raising $100M
“It's harder to raise three million than it is to raise a hundred million.”
Hacker: Duolingo could not have raised any funding in Europe
“But I can guarantee you Duolingo would not have been able to raise any money in Europe.”
Hacker: Duolingo had zero revenue for its first five years
“You know, we had zero dollar revenue for the first five years.”
Hacker: Technology can deliver the efficacy of 1-on-1 tutoring universally
“With technology, there's a way we believe that anyone can have access to a, the equivalent of a one-on-one tutor with the same efficacy.”
Duolingo was an launch partner for OpenAI's GPT-4 release
“We were one of the launch partners of OpenAI when they first launched GPT-IV”
Duolingo created 148 courses in one year using AI
“It took us, I think, 12 years to build the first hundred courses or so. And now, within one year, we built another 148 courses.”
Hacker: Future learning apps will generate personalized exercises on the fly
“But really, I think the future is going to be quite different where you say like, hey, you know, you might be interested in, in rugby, and you have a trip planned to, I don't know, France. I think France also is, is big into rugby. And, you know, you could the…”
Hacker: The future of educational content will be 100% multimodal
“I think it's going to be multimodal. A hundred percent.”
Hacker: Content generation has been Duolingo's biggest AI win
“We use AI in three ways at Duolingo. Number one is content generation, and that's where we've seen, you know, the biggest success. It's just completely changed it, like how we produce content.”
Duolingo pays for any employee AI productivity tool without mandates
“We don't mandate. Duolingo is surprisingly egalitarian and bottom up, and we just say, use AI tool or use whatever makes you more productive, and we pay for it.”
Severin Hacker: AI hallucinations are not a problem for Duolingo
“Not a problem if they hallucinate, because we teach languages. As long as the language is correct, grammatically correct, it is okay, you know, if it makes up a historical fact. It's, we don't teach history. It's like, hallucinations are not a problem for our …”
Hacker: Silicon Valley overhypes rapid AI replacement of software engineers
“I think there's a lot of Silicon Valley hyperbole around software engineering getting replaced very quickly. I'm less sure about that.”
Hacker: AI coding tools perform poorly on large codebases and create unfixable tech debt
“On the software engineering side, I think what they're really good at is going from zero to 80% for a simple app. You know, it's like, it's the replet, the lovable, and then the larger the code base, even the one that generates itself, the larger the code base…”
Hacker: Lower software production costs will lead to more app creation
“And then the other thing it does, it just lowers the cost of lines of code, of software, right? So production, producing software. And then there's the Jervin's paradox, which says, you know, if you, the cost of a good goes down, you will actually have more de…”
Product, Engineering, and Design Account for 70%-80% of Duolingo's Workforce
“Inside Duolingo, we have the three biggest functions within Duolingo are product, Engineering and design. Okay. Those compose probably about. 80%, 70 to 80% of our workforce.”
Hacker: AI will cause product, engineering, and design roles to converge
“But with AI, you can see that there's maybe like a new role, kind of a product engineer designer, like one person who can do all of these roles to certain, you know, degree, like they can build a prototype and then maybe at some point they need to hand it off …”
Hacker: Computer science degrees will remain a good investment for five years
“I would say for the next five years, probably still like a Good investment.”
Severin Hacker: AGI and UBI will replace human jobs in 20 years
“I believe that's gonna happen. Again, the big question is, is when is it gonna be? I don't think it's gonna be next five years. It's not going to be, maybe it's going to be next 10 years if you really see a broad adoption of these technologies, more likely may…”
Severin Hacker: Tech leaders fear AI because they risk losing purpose
“For a lot of people, The job is just, they do it for the income. They don't derive purpose from it. And then I think, you know, we are in, in, in this the people that derive purpose from their job who work the most, et cetera, you know, the tech people and the…”
Hacker: Duolingo continues hiring software engineers directly from universities
“And we're actually not doing that at Duolingo. We still hire from universities.”
Hacker: Duolingo's viral social media presence required hiring Gen Z talent
“Dueling wouldn't be where it is today in terms of you know, our social media presence if we never hired from Gen Z.”
Hacker: AI handles 70% to 80% of Duolingo customer support tickets
“And we have found for a lot of the, you know, AI can do 70 to 80% of the tickets that we get.”
Duolingo restricts AI features to top subscription tier over unit costs
“Right now, vertical ability is, is in our, so we have three tiers. We have you know, the free tier, there's super, and there's max, and it's mostly in our max, the higher tier subscription because of that reason, right? So, so we would like to give this to eve…”
Duolingo uses ElevenLabs for AI voice generation
“For our voices, we also work with 11 labs and they're just amazing models, amazing voices.”
Hacker: Many edtech companies are 'homework cheating' businesses hit by ChatGPT
“When ChatGPT came out, one of the first killer use cases for it was homework cheating, for the lack of a better term, okay? So if you were in the homework cheating business, That was devastating. That was really bad. So, so some of our, I'm not going to name t…”
Hacker: Maintaining user motivation is the hardest part of language learning
“So it's the actual motivation. And, you know, by the way, this is one of the key insights of Duolingo. It's like, and we've been sharing this with the entire world for the last 10 years, and still nobody seems to believe us. And so the hardest part is motivati…”
Hacker: Duolingo users would switch to social media over competing apps
“If you ask our users, what do you do if Duolingo went away? They never mentioned any of our language learning competitors. They say, oh, I would spend more time on social media.”
Hacker: OpenAI should target search and social media over language learning
“If I was Sam Altman, you know I would go after the big trillion dollar companies. Like, why go, go into, you know, language learning when you can go into search or social media?”
Hacker: Duolingo will not launch standalone apps for new subjects
“No, no, no. No more new apps. If it's education, it goes into the main app.”
Hacker: Duolingo PM built initial chess course prototype using Cursor
“He was able to build this first version just using cursor and a bunch of AI tools. And the prototype is what convinced us that we should do this.”
Hacker: Duolingo would have rejected chess course without working AI prototype
“If it had just been a Figma design, we probably was like, ah, you know, ah, maybe, maybe not. But the prototype was. So good that it convinced everyone.”
Hacker: Duolingo built its chess course in a record nine months
“Because of AI, again, we were able to build this within nine months. This is fastest way ever created a new course.”
Hacker: Duolingo aims for its score to become standard language proficiency metric
“One thing we're also very passionate about is, is the Duolingo score. I'm not sure if you notice it within Duolingo, but we now give you a score, like how good you are at this language. And we want this to become the way people talk about language proficiency.…”
Hacker: Duolingo sees massive engagement drops whenever push notification services fail
“Still makes a huge difference, and we know because whenever the service goes down that sends the push notifications, you can see the dip. Yeah, yeah, yeah, a hundred percent. It's huge. It's massive.”
Hacker: K-12 schools are fundamentally childcare, which AI tutors cannot replace
“In fact, you know, a lot of K-II is childcare, you know, and so even if you solve one aspect of it, like, let's say you have an AI tutor that is really, really good, you still need to solve the childcare problem.”
Hacker: AI tutors will become the primary learning method in the future
“And by the way, the other thing is like, so I do believe that the AI tutors will become really, really, really good. And it's gonna be the way most people learn most things in the future.”
Hacker: AI will never motivate students on why learning matters
“It's like an AI will never tell you like why you should learn this. It's like the help you learn it, but it's not going to tell you know, why should I learn this? Why is this important?”
Hacker: Duolingo's streak feature relies on loss aversion mechanics
“The streak is exactly this loss aversion mechanic, right? So it's like, it's motivating to build up your streak, but it's like, I absolutely do not want to lose my streak, right?”
Hacker: Duolingo proactively restored user streaks during Iberian power outages
“By the way, also when there's, you know, there was a power outage in, in Portugal and Spain, we proactively extended their streak, so, so they don't lose it.”
Hacker: CEO Luis von Ahn still attends most Duolingo product reviews
“He still does. So that's a founder mode for him. It's like he's still in most of the product reviews. And I think that's rare for a company CEO of a company like our size, where the CEO sits in most of the product reviews.”
Hacker: Luis von Ahn initially resisted hiring product managers at Duolingo
“I was the one who pushed for hiring our first product manager. It was actually interesting because Luis at the time, he's like, oh, we don't need product managers. He's, he had seen some of them at Google. His previous company was acquired by Google. So he had…”
Hacker: Duolingo was once bigger on TikTok than Nike
“I think at some point we were bigger on TikTok than Nike.”
Hacker: Duolingo's marketing team consists of approximately 40 people
“And I have, I think, 40 or so, 40 people or so.”
Hacker: Duolingo operated with a zero-dollar marketing budget during early growth
“For a very long time, we had no marketing budget. So we didn't advertise Nothing like zero dollar marketing budget because we're also not profitable. We also didn't have any revenue.”
Severin Hacker: AI will enable companies built with 10x fewer employees
“We're in the middle of this massive transformation. You can build companies with probably 10 times fewer employees.”
Severin Hacker: Flat organizations without hierarchy cannot scale
“There was like this belief that you can run a completely flat organization, right? No, no managers. No hierarchies, no levels. And. I think that's not really possible. At a certain scale, you need to have managers or layers, or you need to have some sort of hi…”
Hacker: 80% of CTO focus at Duolingo is AI, remainder on M&A
“I'm now a little bit out of the weeds, and I'm thinking more, right now, actually, I'm only focused on two things. One is like, this question is with AI, like, what's gonna happen? Like, what does the future look like in, you know, in our space? What is the im…”
Hacker: Prior working relationships are the top factor in M&A success
“And with M&A, it's the same thing. I actually think it's, do you have prior experience working with this company? Yes or no? So I would say that's the number one advice is like, Have you worked with them before?”
Hacker: Language learning startups predictably grow fast and then fail
“Every single year there was one or two companies that grow really fast in, in language learning, one or two, and inevitably they go down again.”
Hacker: User retention is the only metric that ultimately matters
“Ultimately, the only thing that matters in our space is retention. So if you can spend as much money as you want. If you don't have retention, it's a leaky bucket. All these people are going to leave.”
Hacker: Duolingo only fears competitors with higher user retention
“The one company I'm scared of is one that has higher retention than Duolingo.”
Hacker: European AI founders should 100% move to Silicon Valley
“If a young founder, European founder came to me, it's like, Hey, I have this brilliant idea of how to use AI or like a new model or something like that. What should I do? It's like a hundred percent. Go to Silicon Valley. A hundred percent. You absolutely maxi…”
Hacker: European skepticism toward founder ambition harms its tech ecosystem
“I think a lot in, a lot of people in, in Europe, you just like, you're kind of like, why are you doing this? Like, why, why, you know, like, or they look at it as like, oh yeah, you know, they're just doing it for the money or there's this suspicion. Almost of…”
Hacker: Duolingo has no offices in Silicon Valley or California
“Duolingo does not have an office in Silicon Valley or anywhere in California”
Hacker: Opening an SF satellite office creates a talent drain to local giants
“It creates this internal funnel of your best employees moving from your HQ to Silicon Valley. Which by itself is not a problem. The problem is then they get recruited away by the whatever the hot Silicon Valley company is at the time. You know, like it could b…”
Hacker: I angel invested in Pittsburgh due to zero local competition
“I started angel investing with a very similar thesis in Pittsburgh because there's no one other than me and Luis.”
Hacker: Strict US immigration rules would benefit European tech
“In a way, the best thing that could happen to Europe is if the U.S. Made it really hard to immigrate for founders. You know, if they made it really hard, if they restricted immigration such that you know, people like me couldn't, couldn't move there anymore, t…”
Hacker: The EU AI Act is among the dumbest regulation ever written
“I can work with the EU regulation on AI, which is, I think, some of the dumbest regulation ever written. It's literally like, you know, the Ottoman Empire, they had when, you know, they invented the printing press, it's like, oh, this is not good. It's not goo…”
Hacker: Duolingo's biggest early mistake was delaying monetization
“I think that the two mistakes we've made at Duolingo, they were not fatal, but obviously the two big, big ones were one, we waited too long with monetization. So we just didn't take it seriously enough early on.”
Hacker: Duolingo waited too long to hire senior managers
“Number two is what we also waited for too long hiring more senior managers. So we just, for, you know, up, up until 30 employees or so, it was completely flat. It was a lot of people from new grad. It was pretty chaotic.”
Hacker: Duolingo bypassed seed rounds using NSF university grants
“We never raised seed or pre-seed. This was because we had these NSF grants. So we built this project inside the university. So Series A was our first round.”
Hacker: Duolingo had only one Series A offer, from Union Square Ventures
“We may have to cut this afterwards, but I think we only had one offer. It was Union Square or back to university.”
Hacker: Silicon Valley VCs passed on Duolingo over Pittsburgh location
“We actually did get a lot of interest from Silicon Valley VCs at a time, but they all made it a requirement To move to Silicon Valley. So we're like, you've got to move here, right? Like, when are you going to move here? That was the, always the question. Okay…”
Hacker: Duolingo took standard dilution deals and turned down higher valuations
“We never did the third type. We always got pretty much a standard deal. I think the last couple were more competitive. And, you know, by the way, we could have raised a lot more at higher valuations, but we didn't do it for the reasons mentioned before.”
Hacker: Bing Gordon is a rare product-obsessed VC
“Bing is actually great. You know, Bing is, is, is a rare type of investor because he is very product minded. You know, he uses the product and he gives us a lot of feedback on the product. He's obsessed with product. Most investors are more, you know, they're …”
Hacker: Non-CEO founders typically leave startups within 4 to 5 years
“Most founders that are not CEOs, they leave after four or five years, you know, once they're fully invested, or at least when they, you know, when they get acquired or IPO.”
Hacker: Duolingo finance team grew from 2 to 25 post-IPO
“Before we went public, our finance team, for example, was two people. Now it's, I think, 25 or so.”
Hacker: Public markets value predictability over profit margins and growth
“The financial markets, they really care about predictability. So in fact, I feel like they care even more about that than they care about the actual. You know, profit margins or growth or whatever.”
Hacker: Duolingo spent five years finding a business model aligned with its mission
“It's not a single day, but it's the first five years we had. We just didn't know how to, you know, find a business model that aligns with our mission. It was hard.”
Hacker: Founders have much faster feedback loops than angel investors
“You know, I think that there's things that are, there's overlapping, there's an overlap between being a good founder and a good investor, but ultimately they're different things. And first of all, the, you know, the investment cycle is 10 years, right? So, so …”
Hacker: Duolingo ran ~300 A/B experiments on its streak mechanic
“We've probably run 300 experiments fine-tuning the streak mechanic, and that's where you get the gains in retention, and that's what ultimately drives the growth of Duolingo”
Hacker: Product growth comes from continuous process, not single features
“That's the secret sauce. It's the process. It's not a single feature.”
Hacker: Companies need big feature changes to avoid local maxima traps
“The trap you can run into is you only run tiny experiments, right? Like on, on your purchase page or you run these tiny experiments on, on copy or something. And I think it's very important that you have your portfolio of changes. So you have lots of low risk,…”
Hacker: Human-to-human interaction value will rise significantly despite AI
“No, I, that, that I don't believe, I don't, in fact, I think, no, I think the human to human interaction, the value of that will go up significantly.”
Hacker: Pre-2022 art will increase in value as verified human creation
“In, in the art world, I believe that art that was made before 20, 22 is gonna increase in value because it's verified human.”
Hacker: Half of founders fall into depression after leaving their companies
“And I have talked to many founders who left their company, and there's like, I'd say half of them fall into a depression because their identity is the company.”
Hacker: Purpose-driven founders build more successful companies than money-focused ones
“I think that the counterintuitively, the founders that start with a purpose and a mission and are not focused too much on money end up usually doing better”
Hacker: Duolingo founders signed a brief written contract outlining roles and decisions
“So, you know, we, I wrote down a little contract between the two of us. I still have a copy at home. Where we outline exactly like, you know, this is how we're going to make decisions. It's like this short. This is how we're going to make decisions. This is, y…”
Shorts cut from this episode
▶ Life After AGI · 20VC with Harry Stebbings (@18:26)
▶ US Immigration Policy Change = Europe's Opportunity. · 20VC (@1:14:28)
▶ Founders Who Don't Care About Money Make the Most of It · 20 (@1:47:31)
▶ Is Duolingo the Most Efficient Marketing Machine? · 20VC wit (@55:37)
▶ The Hardest Part of Learning a New Language. · 20VC with Har (@31:26)
▶ How Duolingo Use AI to Ship FAST. · 20VC with Harry Stebbing (@40:56)
▶ We only had ONE Series A offer. · 20VC with Harry Stebbings (@0:00)