Onboarding optimization case studies
5 shown
5 case studies tagged “Onboarding optimization”. Median MRR is $60k, topped by Cal AI at $4.2M.
- Health & FitnessCal AI
Built in High School at 17 — How Cal AI’s “Just Snap Your Food” Calorie Tracker Hit ~$50M ARR in 18 Months and Sold to MyFitnessPal
A photo calorie tracker built by Zach Yadegari and a teenage founding team: snap your meal and AI estimates the calories. Bootstrapped to ~$50M ARR and 15M downloads in 18 months, it was acquired by MyFitnessPal in 2025.
18 monthsMonthly (est.)$4.2M/moTikTokShort-form videoInfluencer marketingInstagram - LearningCoconote
“Never Take Notes Again” — How Coconote Hit $6.7M ARR in 18 Months With Almost No Ad Spend
Two ex-Loom builders made an AI note app for students. With zero funding and almost no ads, it reached ~$6.7M ARR at ~50% margin in 18 months and was acquired by Quizlet.
18 monthsMonthly (est.)$558k/moYouTubeSEOShort-form videoInfluencer marketing - Health & FitnessPep AI
A No-Code Student Built a Peptide Tracker in 2 Weeks and Hit $125K in 80 Days
A 22-year-old business major spotted the exploding ‘peptides’ niche on TikTok, vibe-coded an app in two weeks, lit it up with influencer marketing, and hit $125K total in 80 days.
3 monthsMonthly (est.)$60k/moTikTokInfluencer marketingDM outreachReddit - SocialSSocial Wizard
Arrived in the US with $100 — How a 22-Year-Old Built an App That Kills “Fear of the Wrong Reply” on GPT-4 Vision’s Launch Day and Hit $60K/Month
Kelechi Onyeama left Nigeria for the US with just $100 and built Social Wizard right as GPT-4 Vision launched: upload a screenshot of a chat and AI suggests what to say back. Daily TikTok posting snowballed into $60K/month and 500K+ downloads — and his second app, CleanEats, later got acquired too.
Monthly (est.)$60k/moTikTokInstagramShort-form videoInfluencer marketing - OtherMomego
Born at a Rainy Bus Stop — How a Self-Taught Scottish Designer Grew Momego to 5.2M Installs and $30K/Month on Localized ASO Alone
A public-transit tracker built solo by ex-graphic-designer John McEvoy: real-time bus/train locations and arrival times. Without paid virality, he used per-city ‘localized ASO’ (keyword localization) to spread across 160 cities — reaching 5.2M installs, 400K DAU and $30K MRR, all as a one-person shop.
Monthly (est.)$30k/moSEOOnboarding optimizationPaywall optimization
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