Joseph listed StealthGPT on Futurepedia (an AI product discovery site) shortly after launching in March 2023. He offered a freemium model — 10 free tries before requiring a paid subscription — with tiers starting as low as $4.99/month. The first paying customers discovered the product because a TikTok creator named Phil, who obsessively covers new AI products listed on Futurepedia daily, made a short video about it. Those customers reached out and told Joseph how they found him. Beyond that organic discovery, Joseph and his team leaned into a UGC (user-generated content) style strategy on TikTok and Instagram in the early months. The content focused on market education — explaining what StealthGPT was and why someone would need it — since the category was brand new. This combination of a directory listing and social content explanation drove the initial wave of users before any paid acquisition kicked in.
StealthGPT
AI tool that makes AI-generated text undetectable by AI detectors
6 moves, in order
- Pre launch (Jan–Feb 2023)Domain registration and self taught build
Joseph bought the domain stealthgpt.ai for $150 (2-year minimum at $75/yr) in February 2023 after spending January reverse-engineering AI detectors like GPTZero on TikTok. He taught himself Next.js and React via YouTube tutorials to build the MVP.
Working MVP live by March 2023 - Launch (March 2023)Product directory listing
Listed StealthGPT on Futurepedia (AI product discovery directory) with a freemium model: 10 free uses then paid tiers at $4.99, ~$10, and ~$15/month.
First paying customers acquired; discovered via a TikToker named Phil who covered Futurepedia listings daily - Early Growth (Spring–Summer 2023)Tiktok ugc
Ran a UGC-style content strategy on TikTok and Instagram focused on market education — explaining what StealthGPT does and why people need it, since the category was entirely new.
Built brand awareness and drove organic signups during a period before paid ads were deployed - Scaling (Late Summer–Fall 2023)Google Ads
Shifted primary acquisition spend to Google Ads after testing revealed extremely low cost-per-conversion ($10–$20). Reinvested all incoming revenue back into ad spend to compound growth.
Described as 'putting gasoline on a fire' — primary driver of scale to ~$190k MRR - Team Building (Post Month 2)Twitter recruiting
Once traction was confirmed (~2 months in), Joseph posted on Twitter to recruit developers. All developer hires came through Twitter posts — no traditional recruiting or pedigree required.
Built a team of 6–7 people (hiring 2 more at time of interview); ~$50–60k/month in salaries - Ongoing (~15 months in)Multi channel paid and social
Continued scaling Google Ads as primary channel while managing Instagram, TikTok, and Facebook content via Buffer. Spent ~$100k+/month total on marketing and customer acquisition, reinvesting most profit back into growth.
$190k MRR, 400k total signups, ~8,500 active subscribers, $10–30k/month net profitMRR $190k Users 400k users
None significant — Joseph had only self-taught coding skills from YouTube tutorials and Harvard's CS50. However, he had strong pattern-recognition instincts from prior entrepreneurial attempts and was an early mover in the AI-undetectability niche (January 2023), giving him a first-mover advantage before competitors emerged.
Google Ads — described as "putting gasoline on a fire" with cost-per-conversion as low as $10–$20 in early days, enabling aggressive reinvestment and rapid scale.
No explicitly failed channels mentioned. The transcript focuses on what worked. Early solopreneur phase was a constraint (not a failed tactic), and Joseph notes he quickly realized he needed more hands once traction appeared.
I Turned $150 into $2M/Year
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