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A height-prediction subscription app turns teens’ curiosity into recurring consumer revenue.
about 1M total downloads · $35/year or $5/week
The growth asset was a repeatable TikTok format: answer real height questions, prove demand in comments and DMs, then scale the winning creative.
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Go Tall is a mobile height-prediction and habit-tracking app built by Michael, a 20-year-old NYU finance student at the time of the interview. He found a similar app listed for sale for around $20,000, remembered searching for height calculators as a teenager, then built a product that estimates adult height and offers habit features. The subscription was $35 yearly or $5 weekly, with freemium features. Users answer a detailed onboarding quiz; the paid prediction is the conversion hook, while sleep logging, meal scanning, stretches, and continued growth tracking support ongoing use. Michael displayed App Store Connect sales and a monthly new-user dashboard during the interview. He reported about 700,000 App Store downloads and a few hundred thousand Android downloads, roughly one million total, and average revenue near $100,000 per month. He made ten TikToks daily, found a working response format, recruited creators, then added paid ads. Revenue moved through about $3,000 and $10,000 monthly, reached roughly $30,000 in month five, and later exceeded $100,000 monthly.
For a consumer app aimed at teenagers who worry about height, start where they already ask the question. Michael recalled a similar app listed on Acquire.com, his own earlier searches for height calculators, and TikTok commenters sharing their age and parents’ heights.
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Data credibility: Michael reports average revenue near $100,000 per month and about one million downloads. During the interview he displayed App Store Connect sales and a monthly user dashboard, which supports the revenue claim as dashboard-backed hard data. The transcript does not establish audited net income, Android revenue detail, or independent verification of the displayed dashboard.
Michael said the first sale arrived two days after launch. Go Tall asks for extensive information during onboarding, then places the final height prediction behind a subscription.
Go Tall's acquisition loop began with a format users could recognize and creators could reproduce. Michael first made the videos himself, replicated the pattern across two accounts, and had his girlfriend try it; those accounts gained traction.
A month of posting ten TikToks each day is a demanding test, and early clips can produce little useful signal. Go Tall's founder kept the experiment narrow: one prediction format, one main distribution channel, and visible viewer responses.
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