Before writing any code, Louis and his co-founder studied TikTok makeup content — specifically the comment sections of popular makeup videos — to identify what problems real users were expressing. They identified demand for helping women find the right makeup look without having to physically buy and test products. Rather than building first, they created TikTok content around the concept of "finding your best makeup look," validated that it could go viral, and only then built the MVP. The content went viral almost immediately, and within 3 days of launching the app, they had 100,000 users. The key early viral moment was a single TikTok video that reached ~48 million views and 2 million likes. The video incorporated a referral mechanic baked into the app: users who invited 3 friends would get a free makeup look. Viewers saw the video, downloaded the app, then came back to the TikTok video to share their referral codes in the comments — creating a self-reinforcing engagement loop that boosted the video algorithmically. An anchor (download) link was added at ~500K views, making the path from view to install frictionless. That single video generated 60K downloads and $12,500 in sales in one day.
Glow Up
AI-powered app that lets women virtually try on makeup looks
7 moves, in order
- Pre build idea validationTiktok comment research
Studied TikTok makeup hashtags and read comment sections on popular videos to identify unmet user needs. Chose the makeup niche based on hashtag size and video view volume, not personal passion or expertise.
Identified a validated problem before writing any code - Pre launch content validationTikTok — organic
Created TikTok content around the makeup look concept before the app existed. Warmed up a US-targeted TikTok account (US SIM card + VPN), spent 3 days watching and engaging with niche content to train the algorithm, then posted once per day to test engagement.
Content went viral, confirming the idea had market demand before any code was written - LaunchTikTok — organic
Launched the MVP app and drove traffic from existing viral TikTok content. Added a TikTok anchor link (in-video download button) once a video crossed ~500K views to reduce friction from view to App Store install.
0 to 100,000 users in 3 days; reached #1 in Lifestyle and #4 overall in the App Store free apps chartUsers 100k users - Viral growth loopTiktok referral loop
Built an in-app referral mechanic: users who invited 3 friends unlocked a free makeup look. Users saw the TikTok video, downloaded the app, then returned to the comments to share referral codes — driving re-engagement and comment volume that boosted the video algorithmically.
Single video reached 48M views, 2M likes; 60K downloads and $12,500 in sales in one day - Scaling contentTiktok organic multi account
Scaled from 1 TikTok account posting once/day to 7 accounts posting 8–12 times per day. Used the same faceless video trend format replicated across accounts. Operated multiple accounts per phone; bought additional phones to run more accounts.
At peak, 7 accounts posting up to 84 videos/day; drove bulk of 2M total users and $800K revenueUsers 2.0M users - Onboarding optimizationApp Store optimization
Built a long, personalized onboarding flow asking about skin type, tone, wrinkles, and makeup preferences. Prompted users to leave a review early in the flow, resulting in consistently high App Store ratings, which improved App Store ranking and organic discovery.
High App Store ratings contributed to #1 Lifestyle ranking - Growth — paid/UGC layerUgc and influencer
After proving organic TikTok worked, Louis noted that UGC (user-generated content) creators and influencer partnerships also work well for this type of app — recommended for founders with budget. Used or considered VAs to assist with content volume.
Cited as complementary channel to organic; specific revenue impact not statedMRR $15k
Software engineering background enabled rapid MVP development using Flutterflow (no-code Flutter builder), allowing Louis to ship an app extremely quickly once the idea was validated. Co-founder collaboration also helped. No existing audience — the edge was the content-first research methodology and TikTok distribution playbook.
tiktok_organic_multi_account
All previous apps Louis built failed because he built first and marketed later — finishing the app before trying to get users or validate demand. He explicitly said this was the core mistake: "My apps before were more for me. I just had an idea and was building them and then once it was finished building I would start marketing but then I would get no views or no users."