Jake Castillo
Former management consultant who co-founded Cal AI (AI calorie tracker, 15M+ downloads, acquired by MyFitnessPal) and owned its marketing. Built the creator program that had 50–70 influencers posting on a single day, priced deals off revenue per 1,000 views, and later layered on paid ads. Guest on Sub Club by RevenueCat (Oct 2026). Building ByRally, influencer-management software, and does consulting.
Strong on: creator–app fit (“magic moment”), choosing creator niches by audience intent, flat-rate vs CPM deal math, managing hundreds of creators with spreadsheets/automation, low pricing for mindshare.
Bias to keep in mind: one breakout app in a uniquely deep creator niche (fitness) during 2024–25; he sells influencer software and consulting, and stresses that the Cal AI playbook does not transfer to most apps.
Sources: sources/youtube/sub-club-by-revenuecat/2026-10-14-how-cal-ai-turned-creators-into-a-growth-machine-jake-castil.md.
Notes citing Jake Castillo
- Affiliate programs for subscription apps — commissions, tracking, recruitingHow to run an app affiliate program — 15–40% commission (None to Run pays 20%), tiered bonuses, links plus in-app short codes, creator-branded paywalls with longer trials, recruiting affiliates from your own users — plus David Barnard's 100%-commission test, Cal AI's $10/sale and the AI-search halo.
- Can creators sell your app? Creator–app fit and the "magic moment"The tests for whether influencer/UGC marketing will work for an app — a seconds-long on-screen "magic moment", a deep pool of creators already making content your app slots into, and few competing brands — and what to do when the app itself isn't visual.
- Choosing creator niches by what the viewer wants (and reading the comments)Why on-topic creators (UFC fighters, mukbang, recipe and Love Island accounts) flopped for Cal AI while day-in-the-life fitness creators and moms printed, the comment-section test for niches and individual creators, and spotting creators before they blow up.
- Content creators vs influencers — which to hire for an appWhy Coconote hired content creators (good videos, small followings) instead of influencers, why Cal AI's ex-influencer lead now runs UGC alongside influencers, and the trade-off — UGC gives cheaper views, established influencers give trust that converts.
- Copy or innovate? Differentiating in a "saturated" app categoryJake Castillo's view that saturation means proven demand (win with a novel, easier feature or a hyper-specific niche, and avoid social apps), Gleam's "copy Duolingo's defaults, add a twist", and Nami/Storemaven's warning against copying competitors' pricing and paywalls without knowing why.
- Creator outreach at scale — funnel math, emails, calls and referralsHow Cal AI signed 2,000–3,000 creators from ~220,000 contacted (25 assistants sending ~2,000 emails a day, AI-handled replies, a sales call, $100–200 referral bonuses), plus Coconote's rule for spotting reachable creators and why relationships compound.
- Finding the one repeatable organic format for your appHow Gleam (non-visual social-skills app) spent 3–4 months testing copied formats before long open-loop storytelling videos worked, why its 100K-follower POV accounts barely converted, Stella's savable "repeat for 7 days" affirmations and ManyChat comment-to-DM, Symmetry's lock-screen-notification format (17M views) and sub-format tracking — then recreating the winner "to infinity".
- Growing an app without paid ads — Cal AI, Coconote and WeWard comparedSide-by-side numbers and choices of three apps that scaled mainly on organic channels — Coconote ($1M ARR in 4 months, no paid ads, ~50% EBITDA), Cal AI (creators, then paid after a few months, $30/yr for mindshare) and WeWard (PR only for 4 years) — and when each added paid.
- How often to run paywall tests — and why a 5% ARPU lift can be your whole ad marginCal AI ran ~4 paywall tests a week (~300 in 18 months), single tests worth $10–50K/month, starting from ~100 users/day; Gleam argues a 5–6% ARPU lift can be the entire margin on paid ads and unlocks channels (and acquirers); treat the paywall as a never-finished marketing asset.
- Measuring creator and UGC attribution (RPM, spikes, vanity URLs, codes)Practical ways to attribute organic creator content to revenue — reading per-post spikes to get revenue per 1,000 views, secondary engagement signals and a renewal score at scale, vanity domains that redirect to the app, per-creator promo/affiliate codes, and cohort churn checks.
- Organic content that converts vs content that only gets viewsWhy a 41M-view Coconote video earned nothing, and the patterns that do convert — product framed as a solution or identity (not a toy), talking-to-camera formats over looping text, subtle-but-unmissable integrations, and judging creators on paying, retained users.
- Pricing influencer deals — RPM cap, flat rates and minimum view clausesHow Cal AI priced creator deals — never pay a CPM above your revenue per 1,000 views, base rates on a creator's average (not best) views, prefer flat rates to keep the viral upside, and use a minimum view clause set below what the creator claims.
- Reposting and boosting organic winners (Spark Ads, partnership ads)When to repost a promising UGC video (10–20K views and ≥3% engagement) and when to put paid money behind it (engagement rate >7.5–10%, 3–5× the account's average). Spark/partnership budgets and kill rules, and the counter-evidence that dedicated paid creative beats recycled organic.
- Running a UGC program — campaign managers, coaches and content approvalHow the top UGC programs are staffed and run — 1 campaign manager per ~10 creators, managers vs content coaches, pre-post video reviews, a few "backbone" creators, when the founder can step back (consistent sub-$4–5 CPMs), and tooling for hundreds of creators.
- Setting your first subscription priceStart higher than feels comfortable — Ravi Mehta's $20–30/month "high waterline" doubles as a PMF test — then anchor on competitors, cost-plus-perceived-value (AI apps), ROAS/payback math and the value of the user's whole problem; text-AI wrappers cluster at $30–40/year, niche custom-prompt chat apps get $20+/month.
- Short-form hooks and formats that work for apps (2026)A catalogue of formats and hook mechanics practitioners used for apps in 2026 — busy-hands visual hooks, multiple faces, green-screen reactions, credibility listicles, 10-minute story videos, rage bait for AI products, spelled-out URLs — and how a format evolves from founder test to talking head.
- Stuck with no traction? Remove the friction before the first successVisualizee sat at ~$100–150/month for two years until a node-graph UI became a chat with a prompt assistant (and one-time payments became subscriptions) — ~$10K/month; Cal AI won by turning calorie "homework" into one photo; activation friction defines what a category can do.
- UGC program pay structures — retainers, non-stacked bonuses and "free views"SideShift's 2026 data on what top UGC programs pay ($800/month for 60 cross-posted videos, non-stacked bonuses capped at 1M views, pay only the best platform), realistic CPMs over the first 90 days, and why pure performance deals rarely keep creators.
- UGC, influencers or paid ads first? Choosing by cash, stage and marketWhat each channel buys (UGC = a swing at the algorithm, influencers = borrowed trust, paid = clicks, so make it hard-sell), Jake Castillo's rule — no money → UGC/self-made content, some budget → influencers, cash-flow not a concern → paid — and how Gleam, Symmetry and Cal Buddy actually sequenced channels.
- What breakout indie app case studies have in common (Cal AI, Gleam, Stella, Cal Buddy, Symmetry, Visualizee)Side-by-side numbers from six 2024–26 founder stories ($10K to $40M ARR) and the patterns they share — a big proven category, one low-friction core action, one repeatable distribution engine found before scaling, hard paywall with yearly/trial, relentless testing — plus where they contradict each other.