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How Danny Postma Built AI Face Generators into a $100K/Month Business
Danny Postma scaled a suite of AI tools—starting with stock photo and face generators—into a six-figure-per-month solo business. Here's how he did it without VC funding.
Marco Fazio
April 08, 2025
AI Breakdowns: Danny Postma
How Danny Postma Built AI Face Generators into a $100K/Month Business
When most people talk about AI startups, they imagine large teams, big models, and even bigger funding rounds. Danny Postma took a different path.
He built a portfolio of profitable AI tools—starting with face generators—by focusing on distribution, user needs, and simplicity. As of 2025, his projects generate over $100K/month, with a team size of one.
Here’s how he turned AI headshots, landing pages, and mockups into a real business.
Chapter 1: From Indie Hacker to AI Product Builder
Danny started in the no-code and landing page space. His early hits included:
Landing Page Hotspots: a tool to analyze landing pages visually
Headline: a title testing tool
Copywriting tools based on GPT‑3
But the breakout came in 2022 with This Person Does Not Exist–style face generators, applied to real-world needs: profile pictures, resumes, marketing mockups, and product UIs.
He launched Generated Photos and later ProfilePicture.AI, solving a pain point:
“I need a professional photo, but I don’t want to take one.”
Chapter 2: Building AI Products with API Access, Not Models
Danny didn’t train foundation models. He used:
Repurposed open-source models (StyleGAN, Stable Diffusion)
Commercial APIs from OpenAI, Stability, and others
Custom prompt engineering and UI work to simplify workflows
The magic wasn’t in the tech. It was in how it was packaged.
Each product:
Solved a niche problem (LinkedIn photos, avatars, mockups)
Took <1 minute to use
Had clear pricing and minimal friction
Used Stripe from day one
Users didn't need to understand prompts, GANs, or upscalers. They just uploaded a selfie and downloaded 100+ styled headshots.
Chapter 3: Distribution Over Complexity
Danny’s advantage was always speed and distribution:
He launched new products every 1–2 months
He ranked on SEO with long-tail landing pages
He hit #1 on Product Hunt multiple times
He built in public on Twitter and IndieHackers
He reinvested revenue into buying traffic and growing search share
His stack was simple:
No login for free previews
Stripe for checkout
Firebase, Supabase, or Vercel for backends
Midjourney or SD for model rendering
Chapter 4: Revenue and Product Portfolio
As of 2025, his tool portfolio includes:
ProfilePicture.AI – upload a photo, get 100 AI avatars
StockAI – generate stock-style images for marketing
MockupAI – drop a product, get device/frame renders
HeadshotPro – corporate headshots from casual photos
Landingfolio + PageBuilder – landing page components + AI builder
Combined, these generate:
>$100K/month in revenue
60–70% margins
5M total images created
Tens of thousands of paying customers, mostly solo founders and marketers
Chapter 5: Why It Worked
Shipping speed: New products shipped in weeks, not quarters
Niche focus: Each tool solved one clear, recurring use case
Low cost: No team, no infra-heavy models
Great UX: Fast, mobile-friendly, preview-first
Monetization-first: Every tool had pricing from launch
What You Can Learn
You don’t need a team or custom models to build a real AI business
Design and UX still matter more than raw capabilities
Monetization from day one leads to freedom, not just traffic
SEO and Product Hunt are still powerful launch platforms
Marco Fazio Editor,
Latestly AI,
Forbes 30 Under 30
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