David built the MVP in 3 weeks by directly copying the onboarding structure of a competitor app called Quitter (a quit-adult-content app making $200k/month), replacing the niche with "sugar cravings." He did not reinvent the wheel — he changed the copy, colors, and target audience, then launched with influencer marketing immediately. For the very first users, he reached out cold to ~100 influencers on Instagram and TikTok by searching keywords like "quit sugar," "no sugar," and "stop sugar" in each platform's search bar and For You Page. He DMed and emailed them across all available channels (including Linktree-linked emails), offering $1,000 for 4 videos per month with a guaranteed minimum of 1 million cumulative views. He paid only 20% upfront, with the remainder contingent on hitting the view milestone. From that initial batch of 4 influencers, he got "a few million views" in month one and generated $5,000 in revenue — though profit was only ~20% after paying the influencers.
Stopper
Mobile app helping women stop sugar cravings via long onboarding funnel
8 moves, in order
- Pre launch / MVPCompetitor cloning
Studied Quitter app (quit adult content, $200k/month), downloaded it, analyzed its 45-72 screen onboarding, and cloned the structure for a sugar-cravings niche. Built MVP onboarding + post-onboarding features in 3 weeks.
MVP shipped in 3 weeks - Month 1Influencer outreach tiktok instagram
Cold outreach to ~100 influencers on TikTok and Instagram using niche keyword search. Signed 4 influencers at $1,000/month each (4 videos/month, 1M cumulative views guaranteed). Paid 20% upfront, remainder on delivery.
A few million views; $5,000 revenue first month (~20% profit margin)MRR $5.0k - Ongoing — Onboarding optimizationTiktok niche research
Researched top pain points for target audience (sugar cravers) via TikTok content. Discovered emotional hooks like 'feeling distant from God' and acne. Incorporated these deeply into a 45-screen onboarding that repeats benefits and pain points across every screen.
75% paywall reach rate (of users who open the app, 75% complete onboarding and see paywall); ~4% conversion rate - Growth phase — Scaling influencersInfluencer outreach tiktok instagram
Continued working with multiple influencers across different audience profiles (age, gender, religion) to test which segments converted best. Retained only those whose videos drove measurable download spikes, dropped others regardless of view count.
30 million views in September; $13,000 MRR peakMRR $13k - Growth phase — Ambassador programUgc ambassador program
Built a team of ambassadors (in addition to paid influencers) to post content on TikTok and Instagram for Stopper. Also rented a TikTok 'farm' (network of TikTok accounts) to amplify content distribution.
Contributed to multi-million monthly view counts at peak - Parallel — Building in public on XBuild in public — Twitter
Posted 6+ times/day on X from day one. Gained notoriety by publicly calling out founders who shared Stripe/Shopify revenue screenshots without naming their apps. Shared Stopper revenue data and influencer marketing tactics transparently.
Grew a meaningful X audience; attracted co-founder for What's the App and a potential partner for Stopper purely via X posts - Revenue decline — OctoberInfluencer outreach tiktok instagram
Influencer pipeline slowed — only 2-3M views in October vs 30M in September, and views were less targeted/qualified. Combined with 70% monthly churn, MRR dropped noticeably from $13k peak.
MRR dropped from $13k (September peak) due to 70% churn and fewer qualified views - Pivot / DelegationBuild in public — Twitter
Posted on X seeking a 'weaponized artist' (aggressive mobile app marketer) to take over Stopper's influencer/ambassador marketing, offering a revenue share. Received 50+ DMs including from founders already making $30k/month with apps.
Found a partner candidate for Stopper within days of posting
Built an X/Twitter audience of several thousand followers by publicly calling out app founders who shared revenue screenshots without naming their apps — this gave him credibility and distribution before launching. Also had a 12-year background as a quant (Python/JS scripting), giving him technical self-sufficiency.
tiktok_instagram_influencer_marketing
Affiliate/coupon tracking links were given to influencers but users rarely used them, making attribution unreliable. High churn (70%) meant revenue was entirely dependent on sustaining a constant high volume of influencer-driven views — when views dropped from 30M in September to 2-3M in October, MRR fell significantly from the $13k peak. Organic/non-qualified views did not convert well. David also concluded paid ads (Meta) would likely outperform influencer marketing for sustained revenue but hadn't yet implemented them.