AI-Generated Ebook Brand (Joe Populus)

Sells AI-generated ebooks to middle-aged moms via Pinterest ads

Founded 2022 By Joe Populus
MRR
Users
Stage Growing
Category Creator tools
Starter Story Meet The Kid Who Made $1M with ChatGPT
Growth roadmap

7 moves, in order

  1. Idea Discovery (July 2022)
    In person consulting meeting

    Met with a publishing company while doing AI consulting. They revealed ~$2M/month in book revenue, which showed Joe the scale possible in digital publishing. He said nothing of his idea on the call, but immediately formulated his own AI book brand concept.

    Business concept validated by proxy — saw $2M/month revenue was possible in publishing
  2. Launch (August–September 2022)
    Ai content generation

    Generated 40 AI ebooks using GPT-3 over two months. Used GPT to create chapter outlines, then generated each subtopic individually. Personally proofread every book. Self-funded entirely from minimum wage job earnings.

    $40 total revenue by end of September 2022
  3. First Sales (October 2022)
    Pinterest ads consideration campaigns

    Ran Pinterest consideration campaigns to test multiple niches. Used outcome-driven ad creative targeting 'ambitious people' — tugging on the result they want to achieve and positioning the ebook as the path to get there.

    First profitable day on Oct 3 ($20 profit); $40 profit on Oct 4; exponential growth began
  4. Scaling (Oct–Dec 2022)
    Pinterest ads conversion campaigns

    Moved from consideration to conversion campaigns on Pinterest after identifying winning niches. Set up Pinterest pixel/tag, dialed in landing page copy, above/below-fold conversion optimization, and brand image. Built dedicated landing pages with value stacks, chapter previews, and professional brand presentation.

    Hit first $1K profit day on December 28, 2022
  5. Growth (2023)
    Landing page optimization

    Continuously optimized landing pages to reduce bounce rate below 70–80%. Focused on brand image, value stacks, and chapter previews as the primary conversion tool. Hired a proofreader on retainer to maintain book quality at scale.

    $390K total profit; business valued at $930K
  6. Monetization / Exit Partial (2023)
    Business marketplace listing

    Listed the business on marketplaces 'just to test.' Received a first offer of $930K for the full business. Instead of selling outright, structured a deal to sell 40% to an investor while retaining control and beginning to build a second book brand to repeat the process.

    First offer: $930K valuation; sold 40% stake; business valued at $930K
  7. Expansion (Late 2023)
    Info product course teaching

    Began teaching others how to build their own AI book brands, converting his playbook into a coaching/course product. Reported 'really successful students' already generating meaningful revenue.

    New revenue stream opened; described as 'extremely rewarding' but no specific revenue figures given
First 100 users

Joe started in August 2022 by generating 10–20 AI books using GPT-3 and publishing them. He listed them for sale and ran Pinterest consideration campaigns to test which niches had the most traction. By the end of September 2022, he had 40 books published and had earned $40 total. The first customers came purely through Pinterest ads — no organic outreach, no social following, just paid discovery on Pinterest targeting niches filled with "ambitious people" who respond to outcome-driven messaging. His process was almost entirely self-taught and self-funded from his minimum wage job. He purchased competitor ebooks to understand structure, then iterated his own books accordingly. He also personally proofread every book himself in the early days to save money. His first profitable day was October 3rd, 2022, making $20, and he scaled from there almost exponentially, hitting a $1K profit day on December 28th, 2022.

Unfair advantage

Joe had prior hands-on experience working on GPT-3 beta use cases for OpenAI, listed on his LinkedIn. This gave him early technical fluency with AI prompting and a credibility signal that led to paid consulting, which in turn exposed him to a publishing company whose revenue figures ($2M/month) inspired the ebook model. Most early-stage founders would not have had this insider exposure to both the AI tooling and the publishing industry economics.

Scaling channel

pinterest_ads

What didn't work

His first ebook was structurally poor — no congruency, bad flow — because he had no prior book-writing knowledge. He wasted money and time early on due to beginner mistakes he estimates cost him extra vs. a clean $500 start. He also implies early consideration campaigns on Pinterest were a testing cost before finding winning niches for conversion campaigns.

Watch the original

Meet The Kid Who Made $1M with ChatGPT

Starter Story