On the podcast: the “magic moment” test for whether creators can sell your app, the one number that caps what you can pay them, and why cloning hit apps like Cal AI rarely pays off.

Top Takeaways:

🥊 Choose creator niches by what the viewer wants, not what the creator does
UFC fighters track every calorie, but their audience is on the couch with pizza, and thousands of dollars of posts produced no download spike.

✨ Creator content only sells an app that has a magic moment
A scan-analyze-result sequence made viewers do a double take; without that, the app’s appearance in a creator’s video reads as an ad and never goes viral.

🧮 Never pay a CPM above your revenue per thousand views, and go flat rate
Break-even is set by a creator's average views, and the profit sits in the one post that goes mega viral, which a flat fee lets you keep.

🏷️ Keep the price low on purpose when the goal is to be the app everyone has
$30 a year, among the cheapest in the category, was a deliberate choice to be the easiest app to buy rather than the most profitable per user.

🧬 Sharing the playbook publicly is safe when the edge is a thousand tested details
The clones that copied a public growth story were never going to catch up with a team that was obsessed with small compounding improvements.

About Jake Castillo:
🚀Co-founder of Cal AI, the AI-powered app for easy calorie tracking. Snap a photo, scan a barcode, or describe your meal and get instant calorie and nutrient info

👋 Linkedin

💬 Jake Castillo on X

Follow us on X:

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

Episode Highlights:
[00:00] Why the truth is always in the comments

[00:29] How Jake met Zach and joined Cal AI

[06:11] The creator partnership that changed Cal AI's trajectory

[09:45] Why fitness creators were the perfect channel

[13:57] Cal AI's three-step "magic moment"

[17:40] Why Cal AI wasn't afraid of copycats

[19:53] The UFC and mukbang creator bets that flopped

[25:21] How to spot creators who will convert

[28:00] Finding creators before they blow up

[30:12] Pricing creator deals around revenue per 1,000 views

[35:30] Measuring creator performance when attribution gets murky

[39:04] Building the systems to manage hundreds of creators

[43:09] The real secret to signing creators at scale

[46:50] When and how Cal AI added paid ads

[51:59] Keeping the experience consistent from ad to onboarding

[55:07] Why Cal AI kept its price at $30 a year

[58:47] The MyFitnessPal acquisition

[01:03:36] Lightning round: affiliate deals and doing the work

On the podcast: growing for four years on press and organic alone, affiliate deals as an underexplored revenue stream, and why deciding to pivot is the hardest part.

Top Takeaways:
🗞️ A PR retainer can beat paid UA for a mass-market app
A $3–5K monthly retainer produced months with half a million downloads and four years of growth with zero Meta or Google spend.

🤝 Affiliate deals are the revenue stream most subscription apps still ignore
Brands pay commission only on sales, so the pitch to Nike-sized partners is low-risk for them and the deals are reached directly, not invented.

📏 Pick the metric that is the user's outcome and A/B test every feature against it
A walking app that refuses to track time in app and measures steps instead shipped a feature that lifted steps 10% by locking social media behind a step goal.

🌍 A growth playbook that works in one country can fail completely in the next
The PR strategy that pulled 300,000 downloads from a single French TV segment produced nothing in the US, where nobody knew the founder or the app.

⭐ A celebrity works harder as a shareholder than as a spokesperson
An ambassador-plus-investor deal changed hiring, press replies, CAC and retention at once, though the impact can be difficult to precisely quantify.

⏱️ At scale, app review times are a growth constraint, not an inconvenience
The more parallel A/B tests you run, the more a 24-hour (or five-day) release cycle caps how fast you can learn.

About Yves Benchimol:
🚶 Founder of WeWard, a free mobile app backed by Venus Williams designed to make walking a more rewarding part of people's lives. WeWard’s mission is simple: to get more people walking the world over.

👋 LinkedIn

🚀WeWard

🖥️ WeWard Careers

💬WeWard on X

Follow us on X:

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

Episode Highlights:
[00:00] Meet Yves Benchimol of WeWard
[01:36] Why Yves left B2B retail analytics
[05:04] Shutting down a business to start over
[07:31] Building an app that rewards walking
[09:29] Why WeWard ditched blockchain
[12:24] Choosing user value over technical complexity
[15:55] Loyalty, gamification, and motivational layers
[17:41] Why WeWard measures steps, not screen time
[18:37] Building revenue beyond subscriptions
[21:46] How affiliate marketing fits WeWard
[23:54] Using PR as the first acquisition channel
[25:18] 300,000 downloads in under five minutes
[28:32] Four years without paid UA, and why US press fell flat
[31:12] Why US growth required local credibility
[33:11] Pitching Venus Williams at lunch
[37:47] What Venus Williams brings as ambassador and investor
[42:01] What's next for WeWard's global growth
[43:14] Staying ahead of copycat apps
[46:25] Locking social apps until users walk
[48:27] Motivational layers and staying focused on walking
[50:11] Localizing rewards across 29 countries
[52:35] Why growth strategies change by market
[54:10] Moving to the US to scale WeWard
[57:13] Why big growth requires bigger bets
[1:00:06] Biggest win: rebuilding the onboarding
[1:00:46] Biggest fail: returning to B2B
[1:01:46] Why mobile app iteration is still too slow

On the podcast: scaling to $10M ARR with a team of ten, having every employee do two user interviews a week, and why their hard paywall "win" backfired.

Top Takeaways:

🧪 Trial-start rate is the wrong scoreboard
A hard paywall and a no-exit discount both lifted trial starts, then refunds spiked by more than the gain; judge paywall tests on net revenue after refunds, on a matured cohort.

🗣️ Every employee does two user interviews a week, engineers included
Automated invites to a mixed sample of users book whoever has calendar space, so the whole team hears customers directly instead of through a PM.

💳 Charge from day one to find out who you're building for
A plain $10-a-month paywall with a one-week trial at launch filtered for willingness to pay and freed the team to work on onboarding and the core product instead of pricing tests.

🧩 Mixing other apps' playbooks is the worst strategy of all
Duolingo's freemium base only works because it teaches the basics of everything to hobby learners; a product for high-intent professionals should ignore that base entirely.

📅 Lead with annual to know your channel ROI the week the trial ends
Annual cash lands after the seven-day trial, so payback per channel is visible immediately and can be reinvested; monthly leaves you guessing between one month and 24.

🧑‍💻 $10M ARR with 10 people runs on owners, one meeting a week, and everyone shipping
Hire founder-type doers, hold a single Monday sync, and let AI coding tools turn the whole team, including a non-technical CEO, into builders.

About Anada Lakra:
Anada Lakra is the Co-Founder and CEO of BoldVoice, an AI accent and speech coach for the billion people who speak English as a second language. The app provides real-time feedback powered by our proprietary speech models and lessons from Hollywood accent coaches.

👋 LinkedIn

🗣️BoldVoice

Follow us on X:

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

Episode Highlights:
[00:00] Building a subscription app by focusing on product value over paywall hacks
[01:12] Anada's personal experience with communication barriers
[08:53] The early founding story of BoldVoice
[13:30] Why BoldVoice charged from day 1
[16:36] Why over-optimizing paywalls distracts teams from improvement
[18:40] Why mature net revenue after refunds is an important metric
[22:04] How hard paywall experiments backfired once refunds were factored in
[24:17] BoldVoice's reverse-trial freemium model & why it ignored the Duolingo playbook
[33:32] How BoldVoice found its real ICP: professionals over students
[36:42] Keeping customer obsession alive with user interviews
[43:29] How Accent Oracle drove a major viral growth moment
[48:33] BoldVoice's approach to paid growth and annual plans
[50:45] How BoldVoice reached $10M ARR with 10 people
[55:02] The expansion from accent training to spoken-English fluency
[1:00:37] The stigma around accents and how BoldVoice hopes to change that