How ToneAdapt grows

Built V1 as a web app in about a week with AI coding (Supabase, Vercel, Mailgun, Stripe, OpenAI API, Tavily search API, Claude Code), charged from the start with Stripe, and skipped polish like logos. Web revenue and feedback came first; a few months later he built a native Swift iOS app (Vercel backend, Supabase, RevenueCat, Superwall paywall A/B tests).

From launch, posted short videos 3 times a day and reposted each one to Instagram, TikTok, YouTube and Facebook. Put his own face on the brand from day one so users feel they are joining his journey as he adds gear and improves the app. Videos show the product solving the problem in real time. He advises committing to 3 posts a day for at least a month and not overthinking content: any content beats none. Background doing paid UGC for brands taught him viral formats.

Once a video converts, it becomes the template: remake it ~50 times with tiny variations, hire UGC creators to copy the exact format ~60 times a month, and put money behind it on Meta ads and TikTok ads. Ride the format until it stops working, then go back to posting relentlessly to find the next winner.

Played guitar almost daily for over a year; noticed he was using ChatGPT to work out guitar tones and it was inaccurate. Asked other guitarists on Reddit and in Instagram comment sections, found many had the same problem and no real solution existed, then built it. Advises picking a hobby you do daily or weekly, where there is no solution, a slow process or inaccurate results.

Subscription tiers: $10/week and ~$60/year, on web (Stripe) and iOS (RevenueCat); paywalls and experiments run through Superwall on iOS.