Four Apps, One Unusual Growth Story
Nicole Cheung Cheung, a non-technical founder, claims to have built four apps in two years, with her first, Glam Up, hitting one million users in six months and peaking at $150,000 MRR. She then launched Sprout (formerly Prep AI), which reportedly scaled to approximately $250,000 MRR in three months. While these revenue figures are self-reported and not independently verified, they represent an unusual growth story in the consumer app space.
This narrative challenges conventional wisdom. Cheung, without a technical background, focused on design, content, and monetization alongside her engineering co-founder, Aaron Paul. Their collaboration prioritized rapid iteration and a systematic approach to organic growth over traditional paid acquisition.
Cheung's reported success with multiple apps reaching six-figure monthly revenues suggests a repeatable system. Instead of relying on a single viral hit, she engineered a process designed to generate consistent user acquisition and revenue across diverse app concepts, a blueprint for the modern AI-driven app economy.
The Product Was Only Half the Business
Nicole Cheung Cheung's success with apps like Glam Up and Sprout didn't stem from solo technical wizardry. Her co-founder, Aaron Paul, handled the React Native development, freeing Cheung to focus on what truly scaled: product presentation, growth mechanics, and relentless distribution. This division of labor underscores a critical insight: an app, however functional, is only half the business.
Cheung's apps addressed easily understood consumer needs. Glam Up offered AI beauty and styling guidance, helping users discover their "color season" and personalize makeup recommendations. Sprout, her second app, leveraged AI to tailor job applications, generating resumes and cover letters—a clear solution for job seekers. Both apps solved tangible problems for millions, generating 400-500 million organic views per month across platforms like TikTok and Instagram Reels.
The broader lesson is stark: AI tools dramatically lower the cost and time of building a functional app. Yet, AI alone does not create demand or lasting differentiation. Cheung’s repeatable system, built on an industrialized UGC creator network of over 200 active creators and aggressive paywall architecture, proves that the real competitive edge lies in systematized organic distribution and monetization. The product itself, in this new paradigm, is merely the vehicle.
How a Creator Network Turned Views Into Reach
Nicole Cheung Cheung’s genius wasn't just building apps; it was building a viral app machine. Instead of hoping for a single post to catch fire, she engineered a repeatable short-form content operation across TikTok, Instagram Reels, and YouTube Shorts. This wasn't luck; it was a system.
At its peak, this engine commanded an incredible scale: over 200 active UGC creators generated 400–500 million organic monthly views. Crucially, Cheung understood views aren't installs, but this massive reach provided the top-of-funnel volume necessary for her apps like Glam Up to thrive. For more on the app, visit Glam Up AI.
Creators didn't just freestyle. Cheung developed an internal onboarding system with scripts, formats, and training. This disciplined approach enabled consistent content production, with over 50% of onboarded creators achieving a viral video within two weeks. Each campaign's results fed back into the system, informing the next batch of experiments and ensuring continuous optimization. This iterative process transformed unpredictable virality into a scalable, predictable growth lever.
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The Paywall—and the Churn Problem
But even with a repeatable content engine, the product still needs to convert. Nicole Cheung Cheung’s strategy involved aggressive onboarding and monetization experiments, often presenting users with a series of personalized questions before hitting a hard paywall. These steps included referral prompts or sharing requests, alongside continuous A/B testing of price points, discounts, and offer timing with tools such as Superwall.
This high-friction approach, often involving 10-15 screens, aimed to build sunk-cost bias and personalize the user experience, boosting conversion for some segments. However, such extensive onboarding can also introduce friction, erode trust, or simply lead to lost sign-ups for others. The trade-off is constant: optimizing for immediate revenue versus broader user acquisition.
Ultimately, trend-driven consumer apps face a rapid churn problem. While Glam Up reached one million users and Sprout (formerly Prep AI) scaled to $250,000 MRR, the underlying demand for these services can be fleeting. Founders must obsessively track retention and revenue per user, not just vanity metrics like impressions or downloads, and continually replenish the user base through relentless content generation.
Frequently Asked Questions
What apps did Nicole Cheung build?
Cheung’s portfolio includes Glam Up, an AI beauty app, and Sprout, a career app formerly called Prep AI, plus two newer apps she described as being in stealth.
How did Nicole Cheung grow her apps?
Her approach combined short-form video, a network of UGC creators, referral and sharing prompts, and repeated onboarding and paywall tests.
How much revenue did the apps make?
In the Starter Story interview, Cheung reported Glam Up peaking at $150,000 MRR, Sprout reaching about $250,000 MRR, and two stealth apps at roughly $200,000 MRR each.
Can every app founder replicate this growth model?
The tactics can be tested, but results depend on audience fit, execution, retention, and sustained distribution. The reported revenue figures are not a guarantee of repeatable success.