The Superwall Podcast · 2026-07-30
Patrick Stuart-Constant & Pablo Sánchez - $16M AI CEOs: How to Make $1.3M/Month With AI Apps
Patrick Stuart-Constant and Pablo Sánchez of Sociaaal, a profitable AI-native app studio (22 apps, 40M+ downloads, $16M annualized on a $1M pre-seed), explain buying apps after their viral peak (Celebs, Hotspots) and scaling them with ~100 A/B tests a month and ~4,000 fully AI-made video ads a month. Highlights: removing the onboarding paywall on Celebs raised revenue, retesting old A/B tests, tagging test hypotheses for AI agents, and a walkthrough of WiseSam, their consumer OpenClaw agent with a long personalized web onboarding.
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Numbers mentioned
| Subject | Metric | Value | Quote |
|---|---|---|---|
| Sociaaal | revenue annualized revenue, profitable | USD 16M/year approximate | “We're at 16 million annualized revenue. We're profitable. We're 3 years old.” |
| Sociaaal | funding raised pre-seed equity; no equity since | USD 1M approximate | “We only raised 1 million in equity uh for our pre-seed, and we haven't raised any equity since, so we've we're basically pre-seed strapping.” |
| Sociaaal | revenue annualized revenue at the point the team was 11 people | USD 11M/year approximate | “Um we actually hit 11 million annualized revenue with only 11 people in the team, uh so we were doing 1 million in revenue per employee.” |
| Sociaaal | team size team size at $11M annualized; has since grown | 11 people | “Um we actually hit 11 million annualized revenue with only 11 people in the team, uh so we were doing 1 million in revenue per employee.” |
| Sociaaal | revenue revenue per employee at $11M / 11 people | USD 1Mper employee /year approximate | “Um we actually hit 11 million annualized revenue with only 11 people in the team, uh so we were doing 1 million in revenue per employee.” |
| Sociaaal | count apps in portfolio | 22 apps | “We have 20 apps, 22 apps.” |
| Sociaaal | downloads across the portfolio | 40M downloads approximate | “Across our portfolio, we have uh just we've just crossed 40 million downloads.” |
| Sociaaal | activity volume AI-made video ads produced per month; also hundreds of playable ads and thousands of statics | 4,000 video ads/month approximate | “Uh we're doing around 4,000 video ads a month. We're doing hundred of play- hundreds of playable ads a month, thousands of statics.” |
| Sociaaal | activity volume A/B tests run per month across the portfolio | 100 A/B tests/month estimate | “Uh we're running probably about 100 A/B tests a month.” |
| Fontmaker | downloads | 7M downloads approximate | “Fontmaker has been strong for a number of years. It's probably around the 7 million mark.” |
| Fontmaker | revenue | USD 200K/month approximate | “This one makes um about 200k a month.” |
| Litstick | revenue just north of $300K/month | USD 300K/month approximate | “Uh this one's doing doing just uh north of 300k a month.” |
| Celebs | revenue | similar to Litstick (~$300K+/month), a tiny bit bigger approximate | “Uh then there's Celebs, uh which is a similar size to Litstick, a tiny bit bigger, and then there's AutoPaste, which is a bit smaller than uh uh than these ones, closer to to Fontmaker.” |
| AutoPaste | revenue | a bit smaller than Litstick/Celebs, closer to Fontmaker (~$200K/month) approximate | “Uh then there's Celebs, uh which is a similar size to Litstick, a tiny bit bigger, and then there's AutoPaste, which is a bit smaller than uh uh than these ones, closer to to Fontmaker.” |
| Sociaaal | arpu average ARPU across the portfolio's apps over the last 18 months | +3 x estimate | “Like, you know, over the last 18 months, Pablo's probably 3x'd uh the ARPU on average on our apps, and uh certainly 2x'd it over the last 12 months.” |
| Sociaaal | arpu average ARPU across the portfolio's apps over the last 12 months | +2 x approximate | “Like, you know, over the last 18 months, Pablo's probably 3x'd uh the ARPU on average on our apps, and uh certainly 2x'd it over the last 12 months.” |
| Sociaaal | ltv cac LTV/CAC averaged across the portfolio; most apps near this | 3 x approximate | “Uh on our portfolio, it's 3x LTV/CAC on average. And most of our apps will be around around that mark.” |
| Celebs | price weekly subscription range, host reading the store listing | USD 6.99–14.99/week approximate | “It seems like you mostly do weekly subscriptions on Celebs for like anywhere between $6.99 to like $14.99.” |
| Sociaaal | share share of A/B tests that come out neutral (10 of ~20) | 50% illustrative | “We run probably 20 A/B tests. 10 of them are neutral, 5 are terrible, 3 seem to be giving us something interesting, 2 are good.” |
| Sociaaal | share share of A/B tests that are clearly negative (5 of ~20) | 25% illustrative | “We run probably 20 A/B tests. 10 of them are neutral, 5 are terrible, 3 seem to be giving us something interesting, 2 are good.” |
| Sociaaal | share share of A/B tests that look promising and get scaled up (3 of ~20) | 15% illustrative | “We run probably 20 A/B tests. 10 of them are neutral, 5 are terrible, 3 seem to be giving us something interesting, 2 are good.” |
| Sociaaal | share share of A/B tests that are clear wins (2 of ~20) | 10% illustrative | “We run probably 20 A/B tests. 10 of them are neutral, 5 are terrible, 3 seem to be giving us something interesting, 2 are good.” |
| WiseSam | price first promo week price, then $10/week; web checkout via Stripe | USD 1/one-time | “"Get Sam for just $1. A full promo week with your assistant, then $10 a week, cancel anytime. Continue."” |
| WiseSam | price weekly price after the $1 promo week | USD 10/week | “"Get Sam for just $1. A full promo week with your assistant, then $10 a week, cancel anytime. Continue."” |
| Sociaaal | team size creative team size growth over the last 6 months while ad production was automated | +3 x estimate | “over the last 6 months, I think we 3x'd the size of our creative team uh to make ads while we were automating it more and more.” |
| Sociaaal | team size ads team: mostly ideation, plus video editors and playable-ad makers | 6 people | “So the ads team, at the moment, is six six people.” |
| marketcelebrity-lookalike curiosity: share of people who want to know their celebrity lookalike | market size | 50% estimate | “I'd say at least half if not more of people are curious to know who their celebrity lookalike is. So, you know, your TAM is basically half the world.” |