On the podcast: about hitting $1M ARR in four months with no paid ads, why trial extensions beat discounts for saving cancellations, and why you should be hiring content creators, not influencers.

Top Takeaways:

📈 Momentum is oxygen — get to revenue fast
Reaching your first dollars quickly, even with a minimal product, creates a flywheel of confidence and capital that compounds over time.

🎯 Frame your product as a solution, not a toy
Content that positions your app as the answer to a real problem converts; content that makes it look fun and novel does not.

🤝 Hire content creators, not influencers
Follower counts are irrelevant in the age of algorithmic distribution. Look for creators with 5K followers and a Gmail address, avoid influencers repped by an agency.

⏳ Trial extensions beat discounts for saving cancellations
When a user tries to cancel during a free trial, offering more time converts better than offering a lower price, and it avoids devaluing your product.

🚪 Move login to after the paywall
Forcing account creation before users have experienced any value is a silent conversion killer. Removing it from the front of onboarding can cut drop-off by 10% or more.

About Brett Bauman & Zack Hargett:

🚀Brett Bauman & Zack Hargett, Co-founders, Coconote, an AI-powered note-taking app revolutionizing how students engage with lectures.

👋 Brett Bauman LinkedIn

👋 Zack Hargett LinkedIn

💬Brett on X - @brttbmn

💬Zack on X- @zackhargett

🖥️ Quizlet website

📩 Quizlet careers

Follow us on X:

• David Barnard - @drbarnard
• Jacob Eiting - @jeiting
• RevenueCat - @RevenueCat
• SubClub - @SubClubHQ

Episode Highlights:
[0:00] Introducing Coconote: The AI note-taking app that scaled to millions in ARR
[2:15] The founding insight: Why students desperately needed better notes
[5:05] Launch momentum: Hitting $100K ARR in the first 45 days
[7:40] From idea to $1M ARR in just four months
[10:12] Why most founders misunderstand marketing early on
[12:31] The key distribution insight: Where your customers actually spend time online
[15:22] Creator marketing vs influencer marketing: Why the difference matters
[18:05] How short-form content became Coconote’s primary growth engine
[21:40] Turning viral attention into real revenue with better messaging
[24:25] Premium pricing for students: Why Coconote charged $99+ per year
[27:11] Building trust when your product affects exams and grades
[30:03] Improving conversions: The onboarding experiments that increased trial starts
[33:20] Removing friction: Why login moved after the paywall
[36:05] Retention lessons: Why trial extensions beat discounts
[39:00] The psychology behind cancellations and keeping users subscribed
[42:10] Managing explosive growth while keeping the team small
[45:35] Acquisition conversations with Quizlet begin
[48:10] Keeping acquisition talks confidential while running the company
[51:05] The emotional moment when the acquisition finally closed
[54:01] Reflecting on the journey from scrappy startup to exit
[56:22] Final lessons for founders building AI products today

On the podcast: how ElevenLabs turns every new feature launch into a growth engine, how they're deploying over a hundred million dollars in paid ads, and why directing AI agents is quickly becoming a core skill for marketers and solo founders.

This conversation is shorter than usual and will be featured in RevenueCat’s State of Subscription Apps report. Each episode in this series will explore one crucial topic and share actionable insights from top subscription app operators.

Top Takeaways:

🚀Turn every feature launch into a full-funnel growth engine
Don't just ship and announce. Coordinate each release across organic posts, landing pages, and refreshed ad creative simultaneously so earned attention compounds into paid efficiency.

💰 Train a custom GPT on your own winning ad copy
Feed your top and bottom performing Meta and Google copy into a custom GPT, then use it to rapidly translate brand messaging into proven high-performing ad formats. It turns institutional knowledge into a scalable creative tool.

🤖Directing AI agents is the new core marketing skill
The future of marketing isn't just using AI tools but directing agents to handle messaging, storyboarding, ad creation, and localization, all grounded in your creative taste and brand direction.

About Luke Harries:

🚀Growth / Engineering at ElevenLabs, is an AI research and product company transforming how we interact with technology. Their vision is to make communication and creation with technology seamless.

👋 LinkedIn

Follow us on X:

• David Barnard - @drbarnard
• Jacob Eiting - @jeiting
• RevenueCat - @RevenueCat
• SubClub - @SubClubHQ

Episode Highlights:
[0:00] Introduction to Luke Harries, Growth Lead at ElevenLabs
[1:05] ElevenLabs' approach to growth through "growth engines"
[2:20] The power of AI to unlock viral moments during product launches
[3:34] How ElevenLabs maximizes attention through paid ads alongside earned media
[4:41] The role of AI in optimizing ad copy and creative for paid campaigns
[5:42] Balancing AI-generated content with UGC and in-house production
[7:32] Why ElevenLabs stays away from AI influencers for product endorsements
[8:51] Leveraging user-generated content (UGC) for effective campaigns
[10:30] How ElevenLabs plans to spend over $100M in paid ads and approach campaign scaling
[11:38] The importance of localization and segmentation in paid advertising
[12:56] How ElevenLabs measures success and uses data to adjust their budget allocation
[13:18] Blending brand-building with performance marketing
[14:53] The future of marketing with AI-driven creative direction
[16:39] How AI could enable solo founders to create billion-dollar startups
[17:45] ElevenLabs' upcoming product, Flows, and recruitment efforts

On the podcast: why app economy disruption won't happen as fast as everyone seems to think, how AI is just as useful for defending against copycats as creating them, and why the real barrier to app success is still distribution, not code.

This conversation is shorter than usual and will be featured in RevenueCat’s State of Subscription Apps report. Each episode in this series will explore one crucial topic and share actionable insights from top subscription app operators.

Top Takeaways:

📲Distribution is the moat, not code
As AI lowers the barrier to building apps, it raises the barrier to getting discovered. More software competing for attention means user acquisition becomes harder and more expensive, not easier.

🛡️Use AI to defend against copycats, not just to build faster
Use AI to scan the app store daily for copycat apps, monitor rising competitors, and track their ads. Build automated defense processes that keep you ahead of clones.

📊App economy disruption won't happen as fast as everyone thinks
No-code tools, game engines like Unity, and now vibe coding have all promised to democratize app building. None eliminated the real barriers: distribution, product intuition, and the compounding advantage of iterating on user feedback over years.

About Eric Seufert:

🚀 Founder of Mobile Dev Memo, a mobile advertising and freemium monetization trade blog.

👋 LinkedIn

Follow us on X:

• David Barnard - @drbarnard
• Jacob Eiting - @jeiting
• RevenueCat - @RevenueCat
• SubClub - @SubClubHQ

Episode Highlights:
[0:00] Introduction to Eric Seufert, Founder of Mobile Dev Memo
[1:00] Why disruption in the app economy is taking longer than expected
[2:00] The real barrier to app success: Distribution over code
[3:15] How AI is reshaping app development and marketing
[4:30] Eric’s thoughts on why AI won’t eliminate the need for great apps
[5:45] Standing out in a saturated app market: How to break through
[7:00] The role of customer feedback in driving growth
[8:15] Why vibe coding isn’t sustainable for scalable app development
[9:30] Using AI defensively against copycats in the app economy
[10:45] The importance of scalable user acquisition strategies
[12:00] The long-term impact of AI on app monetization
[13:15] Balancing revenue and user experience in app monetization
[14:30] Why building a successful app requires technical expertise and distribution
[15:45] The evolving app economy and AI’s future role in scaling
[17:00] Closing thoughts on staying competitive in an ever-changing market