When should a company begin extracting revenue or monetizing a product?
16 recorded positions from 8 people, first said May 12, 2023. They do not agree — the readings below are what each one actually argued.
Build a product people love first and figure out monetization over the following years
Guy Podjarny · May 24, 2023
Snyk's core early bet was that if they cracked developer adoption of a security product, revenue would follow
Getting developer adoption was what worked from the beginning, so it was treated as the single most important thing to crack
20:34 20VC: Why Being First To Market Does Not Matter, Why You Do Not Have Defensibility on Day 1, How to Analyse Market Size and Present it to Investors, Vitamins vs Painkillers; Do Vitamins Survive Recessions and Good vs Great Messaging with Guy Podjarny @ Sn
Harry Stebbings · May 24, 2023
Companies like early Snyk and Twitter face the same problem: a great product with users still has to have a working business model layered on top.
35:52 20VC: Why Being First To Market Does Not Matter, Why You Do Not Have Defensibility on Day 1, How to Analyse Market Size and Present it to Investors, Vitamins vs Painkillers; Do Vitamins Survive Recessions and Good vs Great Messaging with Guy Podjarny @ Sn
Jean-Michel Lemieux · Mar 20, 2024
A company's single priority is building a product people love and tell their friends about; monetization can be figured out over the following years
If you do that for ten years you're in an okay position with flexible levers for monetization, whereas time spent on spreadsheets makes you forget priority number one
Scope: assumes you monetize enough to keep going; framed as a long game, roughly the first ten years
11:13 20Product: Why Process is Killing Your Product Team and How to Remove it | Three Product Decisions Every Team Needs to Make | Why the Best Companies Build Movements and Lessons from Shopify and Atlassian on How to Do It Right with Jean-Michel Lemieux
Severin Hacker · May 19, 2025
Duolingo's biggest early mistake was waiting far too long to take monetization seriously — it should have started about two years earlier.
The company operated under a business model of 'raise more money', treating venture capital as the business model; once they ran monetization experiments properly and doubled down on what worked, it became very good.
Scope: says the mistakes were not fatal
57:46 20VC: Duolingo Co-Founder on Why $3M is Harder than $100M to Raise | Why You Should Always Take Tier 1 VCs Even at Worse Terms | Why Europe Can't Win Unless the US Screws Up | How AI Impacts the Future of Work and Education with Severin Hacker
Cem Kansu · Jun 20, 2025
Duolingo's biggest product mistakes in hindsight were starting monetization roughly two years later than it could have, and waiting too long to apply Duolingo's mechanics to new subjects
The mechanics and competency were already in place, and finding product-market fit for new subjects is a long journey, so starting math, music and chess earlier would have been better than the projects they funded instead
Scope: acknowledges hindsight bias
62:10 20Product: How Duolingo Build Product 10x Faster with AI | Duolingo's Biggest Lessons on Paywalls, Push Notifications and In-App Purchases | Why Small Teams are the Future of Product | Why PMs Will Become Extinct with Cem Kansu, CPO @ Duolingo
Developer love and adoption often fail to convert into revenue
Harry Stebbings · May 24, 2023
Developer adoption and developer love do not reliably convert into revenue
Many tools get a lot of developer adoption and love and revenue still does not come
20:51 20VC: Why Being First To Market Does Not Matter, Why You Do Not Have Defensibility on Day 1, How to Analyse Market Size and Present it to Investors, Vitamins vs Painkillers; Do Vitamins Survive Recessions and Good vs Great Messaging with Guy Podjarny @ Sn
Guy Podjarny · May 24, 2023
Getting developers to love a dev tool is a far smaller problem than getting a commercial business going from that love, and founders systematically underestimate that gap
At Snyk they successfully won developer adoption with tens of thousands of users, then opened payments and almost nobody paid; they were still at $100k ARR two years and many millions of dollars in
Scope: based on his own Snyk experience; developer tooling markets
20:59 20VC: Why Being First To Market Does Not Matter, Why You Do Not Have Defensibility on Day 1, How to Analyse Market Size and Present it to Investors, Vitamins vs Painkillers; Do Vitamins Survive Recessions and Good vs Great Messaging with Guy Podjarny @ Sn
Harry Stebbings · Jun 19, 2023
Proving value to users does not mean they will pay for it
Scope: learned from his own experience with Panda
50:48 20VC: Why No Models Today Will Be Used in a Year, Why Open Will Always Beat Closed in AI, Why Proprietary Data is Less Important Than Ever And Why EU AI Regulation is a Disaster with Alex Lebrun, Founder & CEO @ Nabla
Delay monetization only if it provably raises ltv
Harry Stebbings · May 19, 2025
As an investor he would never push an early consumer company to monetize, because engagement, user behaviour and habit formation matter more than putting up a paywall.
You want habit-forming behaviour first and a paywall obstructs that.
Scope: early-stage consumer products
58:40 20VC: Duolingo Co-Founder on Why $3M is Harder than $100M to Raise | Why You Should Always Take Tier 1 VCs Even at Worse Terms | Why Europe Can't Win Unless the US Screws Up | How AI Impacts the Future of Work and Education with Severin Hacker
Jason James · Aug 29, 2025
The timing of value extraction should be set by whatever maximizes customer lifetime value, so delaying monetization is right only when you have a reasonable hypothesis it raises LTV
Absent such a hypothesis you're just hoping it becomes valuable, and selling a dollar for a dime isn't a business
Scope: only as long as the business can survive the interim
31:38 20Product: Why Most CPOs are Bad | Why You Do Not Need PMs in a World of AI | Why the Design Stage is Dead and How to Use Vibe Coding to Replace It | The Three Roles All Founders End Up Firing on Repeat with Jason James @ Tezi
Also on the record
Clem Delangue · May 12, 2023
For a platform with network effects like Hugging Face, adoption and usage is the number one KPI and monetization should not be optimized for maximum revenue yet.
Usage is delayed revenue; if Hugging Face remains the number one platform companies use to build AI, revenue will follow, and consumer-platform experience (Facebook, Twitter) shows adoption must come first.
21:03 Network effects platforms should prioritize adoption over near term monetization
Severin Hacker · May 19, 2025 · hedged
It was counterintuitive and unhelpful that Duolingo's investors never pushed the company to monetize.
Those investors were also in Twitter and similar platforms where growing users first was always the right call, so they applied the same playbook.
58:31 Investors modeled on ad supported platforms wrongly avoided pushing monetization
Cem Kansu · Jun 20, 2025
Calling Duolingo's late start on monetization a mistake is hindsight bias — there were real headwinds at the time, chiefly a mission and a launch promise built around never monetizing
Duolingo launched publicly promising never to have ads, in-app purchases or subscriptions, with a crowdsourced-translation business model instead, and the company believed monetizing would ruin a great consumer product
28:32 Hindsight bias real headwinds justified delayed monetization at the time
Cem Kansu · Jun 20, 2025
The prevailing 'Facebook model' advice to just grow and ignore monetization was good advice but incomplete — you can monetize while keeping high retention and growth
They assumed monetization would kill retention and it didn't; tastefully implemented ads on Duolingo were retention-neutral
30:52 Monetization and high retention growth are compatible if tastefully implemented
Cem Kansu · Jun 20, 2025
The right frame is habit building rather than addiction, and in-app purchases should only be layered on after you have strong daily retention on the core experience
Fluency requires thousands of hours of practice and you can't binge your way to it, so a daily habit is the prerequisite; once that exists you add optional extras like streak freezes that can be monetized
49:39 Build daily habit first then layer optional monetization extras
Yamini Rangan · Mar 18, 2025
Companies that slap on an AI SKU and price it before proving value see churn; the right sequence is build the product, confirm repeat usage and repeat value, then scale and price it.
Customer value has to be the north star — repeat usage is the signal that justifies scaling and monetizing.
31:56 Prove repeat usage and value before pricing ai features
Your assistant can query this graph directly — 16 positions here, 19,646 across the corpus. Add 996.fm over MCP.