RevenueCat's podcast on subscription app growth and monetization. 26 Sub Club episodes on product and growth, each as notes you can zoom: the bottom line, key takeaways and every chapter, linked to the moment in the video.
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Praktika's CEO explains how an AI language tutor app reached $50M ARR with a team of just over 40 by selling career outcomes in Brazil and letting micro-influencers run creative. A single creator video he did not like drove roughly 30M views and took ARR from $1M to about $12M in one month.

Cal AI's co-founder explains how creator partnerships, a visual magic moment, and flat-rate deals capped by revenue per thousand views took the calorie tracker past 15 million downloads. He also covers why UFC and mukbang creators flopped, how to read comment sections, and why a $30 a year price was chosen to win mind share.

WeWard grew for four years with no Meta, Google or paid UA spend, relying on a small PR retainer, then used a celebrity ambassador and investor to break into the US. The episode covers affiliate revenue, measuring steps instead of screen time, and why pivoting is mostly a decision problem.

BoldVoice charged from day one, aimed at high-intent professionals instead of hobby learners, and judged every paywall test on net revenue after refunds. That approach took it to $10M ARR with a team of 10 and no reliance on a freemium base or big paid-ad spend.

Built With Science, the fitness app from YouTuber Jeremy Ethier, shows that even a 7 million subscriber audience needs a strong product, a web quiz funnel and structured experimentation to grow. They waited a year after launch to fix trial-to-paid, then scaled Meta from zero to $100,000 a month in ad spend profitably, and a pricing page change moved annual plan share from 60/40 to 75 to 80%.

Visible, a wearable and app for pacing energy with chronic illness, shows how to grow with a product-first approach: it went from $1M to $10M in subscription ARR in exactly two years, with one paid channel, no lifecycle email and no paywall tests. The episode covers paying members for UGC ads, qualifying buyers with a web quiz, pricing hardware at cost, and building trust through published research.

Savvy Navvy's founder explains how he funded a consumer app through equity crowdfunding instead of VC, built a B2B boat manufacturer flywheel, and used a two-year plan to speed up CAC payback. He also shares why removing signup friction backfired and why most startups can't A/B test cleanly.

Yuliya Lennox draws on a decade of growing apps to argue for ugly, product-first ads, founder-led marketing, and aggressive localization. She explains why stable ad performance is a warning sign and why organic growth plateaus, using examples from BetterMe, Eva, Replika and Solid Starts.

Covers why product taste and judgment, not engineering, is now the bottleneck for great apps, what makes consumer subscription investable in 2026, and when to bootstrap versus raise venture. The takeaway is that cheap building, UA financing and tooling make a $10M indie app more reachable than ever, while venture only fits if you can name a billion-dollar outcome.

A founder-led, trust-first approach to growing a niche fitness app: answer every message with real experts, soft sell, and keep one focused app. It produced a 68% trial conversion rate, a 17% download to trial rate, and a 2,000% jump in monthly subscriptions after removing the free trial from the monthly plan.

Life360's VP of Product explains how the company runs growth as a company-wide experimentation system and protects a generous free tier instead of squeezing short-term conversion. Life360 has close to 100 million monthly users, about 3 million subscribers and nearly $500 million in annual revenue, and a machine learning test doubled Platinum signups without losing any Gold subscribers.

Opal's CEO explains why the app moved from a hard paywall to freemium, aiming at a billion-user product built on retention, brand and a real team rather than short-term revenue. Paid penetration fell from 20% to 9%, yet daily active users passed a million, organic growth rose sharply, and he says the payback is tenfold.

Phil Carter walks through twelve AI-era tips organized by his subscription value loop (value creation, delivery and capture), covering onboarding, personalization, creative testing, tiering and credits. He backs them with client results such as Runna going from tens to 400+ creative concepts a month and a 75% LTV lift from a multi-step freemium paywall.

Super Unlimited reached the number one VPN spot on the App Store and over a billion downloads by treating the top of the funnel as a product decision: a frictionless, genuinely good free tier, obsessive service quality, and restraint in monetization. It now gets over a million downloads a day, mostly organic, and is profitable.

Two ex-Loom builders launched an AI lecture note-taking app with a free trial from day one, grew it through a small team of content creators, and used a long onboarding and trial-extension cancellation offers to convert and retain students. They reached $100K ARR in 45 days, $1M in 4 months and $6.7M ARR with no paid ads, then sold to Quizlet in about two years.

Retention comes from the product reliably delivering the result users came for, with lifecycle messaging layered on top. Ladder worked backwards from five-star reviews to a three-workouts-a-week target, then built a journal, check marks and a widget around it, and a nutrition add-on found through surveys now lifts conversion and retention among hybrid users.

A walkthrough of RevenueCat's 2026 State of Subscription Apps report: a flood of new AI-built apps, a power-law split in growth, and what the data says about paywalls, trials, churn and AI app retention. Key results: the top 10% of apps grew 306% while the median grew 5.3%, and hard paywalls converted 10.7% download to paid versus 2.1% for freemium.

Rise Science spent years failing at web funnels by copying its app onboarding, then found success by treating web as a separate channel with a different audience, a problem-first flow, and discounted paid trials. The episode shows how to design, market and bill for a web funnel that works alongside app install campaigns.

Tinder used machine learning to show each user the single product they are most likely to buy instead of every tier and plan, and learned how to sell features a la carte without cannibalizing subscriptions. The ML paywall drove a multi-million dollar annual revenue increase, and the failed Tinder Select tier shows that stated willingness to pay is not enough.

Duolingo's approach to free trials favors clarity and trust over persuasion: spell out the trial timeline, offer multiple trials and no-strings free tastes, and personalize upsells. Shortening the trial from 14 to 7 days doubled experimentation velocity, and letting users pick their reminder day lifted conversions despite the added friction.

Mojo raised average revenue per user 60% in five months through paywall and pricing experiments, tested by region and measured on 7-day revenue per user. The episode shows how a weekly paywall for free users, regional retesting and fast experiment cycles each added revenue.

Skylight, a bootstrapped family calendar and photo frame maker, explains how it prices and gates a subscription on top of a $300 to $700 device. It doubled the plus plan from $39 to $79 a year with minimal loss of retention or attach, and chose $79 over a revenue-maximizing $99 after talking to customers.

ElevenLabs runs small autonomous pods, prices consumer apps in terms users understand, and treats earned-media launches as a compounding asset that also makes paid cheaper. The mobile leads share what worked, such as dropping a pricing tier for hours of listening, and what failed, such as over-optimizing onboarding instead of testing a stripped-back base case.

Duolingo's CPO explains how the app moved from fully free to ads, subscriptions and a multi-subject product without hurting its free-user growth engine. He covers button copy tests like 'Try for $0.00', measuring monetization backlash, and why protecting free value is both a mission and a business moat.

Jeff Morris explains how Tinder built its pricing, packaging and paywall system, and why founders who monetize on day one can get a false read on product-market fit. A single throwaway paywall entry point test at Tinder generated $50 million in revenue.