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Target the “help people make more money” side-hustle niche, ship deliberately minimal AI apps under 15 screens, price them by the “solve one problem in one minute and you can charge $100/year” rule, and cold-start via influencer revenue splits or paid ads
He deliberately cuts features down to under 15 screens and pours 90% of his energy into problem positioning, selling outcomes instead of features, and a 10-12 step onboarding funnel — the simpler the product, the faster it monetizes, and elaborate features are the single most common way founders burn themselves out.
Fewer bars = easier, cheaper, or faster for an AI-assisted solo builder. Editorial judgments based on the case details.
The creator built a portfolio of mobile apps, both in the same “side-hustler / help people make money” niche. Scan Profit is live: subscribers scan barcodes at their local grocery store and the app tells them whether the item can be resold on Amazon at a profitable price, marketed on the strength of top-tier Amazon-grade data. Closer Coach is an AI-driven role-play app for practicing sales skills, which he describes as “Duolingo for sales.” Both apps come in under 15 screens — minimalism by design.
The first users for Scan Profit did not come from the App Store; they came from someone else's audience. He met William Rivera, who runs Ecom Degree University and trains Amazon sellers, at Lifetime, an upscale gym in Atlanta where he lives, and made a one-line offer: if you ever need help building a mobile app, I will build it. Rivera called him back two weeks later. The split was clean. He builds the product and keeps it running; Rivera's team promotes it to people who already pay to learn Amazon arbitrage, with the two sides working closely so the marketing and the app actually match. His reasoning for why the offer lands: every influencer, every course creator, every YouTuber wants to get into software, and almost none of them can finish the build. Closer Coach came in through the other door, paid ads, which he calls the fastest route and the one that needs money behind it, at least $5,000 to start. For a $99-a-year consumer app with no organic surface, those are the two options: borrow an audience or rent one.
The first dollar was a subscription, and the price was decided before the app existed. His rule is blunt: solve one problem for someone in one minute and you can charge up to $100 a year. So the paywall went up at $99 a year or $19.99 a month, and everything upstream exists to deliver people to it. The path is short. An ad or an influencer post sends someone to the App Store page, which he treats as the entire landing page because the name, the tagline and the screenshots are the only levers he gets. Then a ten to twelve step onboarding runs: create the account, answer personalization questions, see social proof, take a benchmark assessment, hit the paywall. One number decides whether the money flows, and he watches it in Mixpanel: the share of people who see the checkout page and buy. Twenty percent, in his words, means you own a money printer. Small changes move it, and an A/B test found a green continue button converted best. The apps launched April 7; a 28-day window later they collected $49,136.
The methodology itself is genuinely solid — “sell outcomes, not features,” “under 15 screens,” the “one minute = $100” rule, and the 10-12 step onboarding funnel are real, usable e-commerce-style tactics, with far more substance than the typical build-a-site channel. But be clear-eyed: this is a course sales funnel, the $42K is self-reported, and what actually makes the money is influencer distribution and paid-media skill, not FlutterFlow. Best suited to people who already have distribution or a budget.
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Data credibility: ⚠️ Revenue comes from the creator showing his own portfolio dashboard in a self-recorded video ($49,136 in cash collected over the past 28 days; $42K MRR within three months), with no third-party verification. His main business is selling the Dreams&Apps accelerator (Build/Growth plans), so he has a strong incentive to funnel viewers into the course. Self-reported. All revenue figures are founder-reported or estimated by the video creator — unaudited.
The flywheel here is arithmetic rather than word of mouth. The turning point is that 20 percent paywall conversion. Once one in five people who reach checkout buy, the constraint stops being the product and becomes download volume, and every additional dollar of ad spend carries a known return, which is why he keeps a table of spend against return on ad spend open and insists on stripping the emotion out of the decision. The second loop is retention, wired up with OneSignal journeys that he had only launched days before recording: two triggers, trial started and trial cancelled, each firing email and push on a delay so a subscriber who goes quiet gets a reason to return instead of churning silently. The influencer side compounds on a different clock. Rivera's team keeps producing Instagram content for an audience that renews its interest in Amazon arbitrage every month, so one negotiation keeps paying out. In this niche the asset that accumulates is the funnel math plus a partner's publishing cadence, not search traffic.
There is no long dark stretch in this account, since the portfolio went from an April 7 launch to roughly $42K MRR inside three months, but the quiet window is real and he says where it sits: the gap between shipping and the funnel reaching 20 percent, which took him time to close. In that window revenue is a useless signal because the sample is too small to read. The readable signal is step-by-step drop-off inside the onboarding flow, which tells you which of the ten to twelve screens is losing people while the total still looks like nothing. His correction is almost never a feature. It is positioning, selling the outcome instead of the capability, which he calls the single biggest fix he makes for the founders he coaches and the reason he puts 90 percent of the win in choosing the problem and the marketing angle. He also points to the unscalable moves early on: email the first users, get them on a call, watch someone use it. Under 15 screens leaves little to debug, so what is actually under test is the pitch.
He shows the dashboard: $49,136 in cash collected over the past 28 days, and roughly $42K MRR within three months (launched April 7). The plan is to grow each app to $1M-$5M ARR and then sell it for $3M-$5M. Pricing follows his rule — “solve one problem in one minute and you can charge $100 a year” — with the paywall set at $99/year or $19.99/month.
When native capabilities are required he uses FlutterFlow (which can export to Cursor for custom work, and AI handles about 75% of the build); for web he uses Replit. Two growth channels: influencer revenue splits (partnering with William Rivera's Ecom Degree University to push Scan Profit) and paid ads (UGC scenario ads, starting budget $5K). He watches Mixpanel for a 20% paid-conversion rate and uses OneSignal for re-activation journeys triggered by trial starts and cancellations, insisting on “sell the outcome, not the features” and a 10-12 step onboarding funnel.
The creator repeatedly pitches his Dreams&Apps accelerator (Build/Growth plans, where students spend $500/mo on ads), so the entire video is top-of-funnel content for a course, and the revenue is a self-reported dashboard. That said, the methodology is relatively hard-nosed and actionable, which sets it apart from pure build-a-site lead-gen channels. What genuinely can't be copied is the influencer distribution relationships and the paid-media competence; this is worth studying if you already have distribution or a budget, but the bar is high for a solo operator with neither.
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