Natural Write

Before writing a single line of code, the founders researched TikTok to validate demand — they confirmed competitors existed in the AI humanizer niche and that those competitors had viral videos. They then built the app in roughly two weeks and immediately opened a TikTok account. Their first tactic was hiring influencers to make paid videos, but this failed to produce meaningful conversions, only generating some views. They then pivoted to filming themselves. Their very first self-made TikTok video produced their first sale. The core approach was to find already-viral videos in their niche, make high-quality one-to-one copies of those formats, and post one video per day at optimal times (typically the second half of the day). They also warmed up the account for 3–5 days first by spending 30–50 minutes daily liking, commenting, and following creators in the AI/student niche. The first breakout video was a Jim Carrey comedy clip remix showing a student with 1 minute to submit an essay, then demonstrating the app as the solution. This video took a couple of hours to make and hit 4 million views. A second video directly showed the before/after — 100% AI-detected text going to 100% human-written — and a copy Yini made of a 150K-view original reached 1.5 million views. The first month alone brought in $41K in revenue.

No significant pre-existing audience. However, they picked an exceptionally high-demand, trending niche (AI detection bypass for students) at exactly the right time, and approached TikTok with a systematic, data-driven "programmer's mindset" — treating viral video formats as templates to copy rather than creative work to invent from scratch.

tiktok_organic

Paid influencer marketing: they hired influencers to make TikTok videos for them early on, but it generated only views with almost zero conversions and was deemed an unsuccessful experience.