Headshot Pro

Danny Postma is a rare breed of indie hacker—someone with genuine technical depth combined with relentless execution speed. He sold his previous company, a GPT-3 powered copywriting tool called Headline, and made a life-changing decision: he negotiated a deal where he'd get the full acquisition amount (negotiated up from the initial offer) but had a catch—a strict non-compete clause preventing him from working on text generation AI for three years. At the time, this felt limiting. In reality, it was the best constraint he could have asked for.

When GPT-4 and AI image generation became accessible, most builders in the space were doing obvious things: ChatGPT apps, writing assistants, image generators. But Danny couldn't compete there due to his non-compete. Instead, he was forced to ask: "What else can AI do?" This is how he discovered his real superpower wasn't building AI features—it was applying new technology to existing, high-margin, human-labor-intensive markets.

The spark came from recognizing a simple truth: photography is a massive industry. Headshots, in particular, are a bottleneck. Companies need professional headshots for LinkedIn, websites, and team photos. Photographers charge thousands. What if AI could do this?

Danny spent three to four weeks building custom AI models by training on Python, refusing to just "hook up an API." This was the differentiator—he wasn't reselling someone else's API wrapper. He was building proprietary tech that would be harder to copy. The site launched with simple pricing: $29 per headshot, $40 per person for team packages.

Development took five weeks total. The landing page was minimal. The execution was ruthless.

Danny had learned this lesson with Headline: on Twitter, new AI tools feel like magic to people. He had roughly 50,000 followers at the time (compared to his rival Peter Levels' 100,000+). He started tweeting about Headshot Pro's output—showing real results. Within days, tweets were being retweeted. The product felt genuinely novel because it was.

He did zero SEO, zero paid ads, zero traditional marketing. Just Twitter. Just word of mouth. Just people watching an indie hacker ship something insane and sharing it. In five weeks, he'd grown his Twitter following to 60,000+ and generated over $300,000 in revenue—a number he calculated on the podcast: "10,000 to 4,200+ happy customers paying $29 a person."

What worked: Timing, technical depth, and pricing power. Danny didn't underprice just because the unit economics were cheap. A traditional photographer charges $500+. AI cuts that to near-zero marginal cost, but the value to the customer remains. He charged $29-40 because that's what the problem was worth solving, not what it cost to solve.

He also identified a crucial conversion advantage: his conversion rate was significantly higher than competitors. This meant he could outbid them on Google Ads and still be profitable—a classic moat in the AI tools space right now.

What didn't work: Sustainability. Danny himself acknowledged that these businesses are inherently temporary. Big tech companies (Instagram, TikTok, platforms) can copy features in six months. Competitors launched immediately—he mentioned at least 15 other AI headshot apps by the time of the interview. But he solved this with a personality trait: ADHD-fueled product rotation. He doesn't want to run the same business for five years. He wants to get paid, get bored, move on.

By the time of this interview (early 2023), Headshot Pro was in its fifth week of launch. Danny was already planning the next vertical. He'd built Profile Picture (a similar tool for AI-generated profile pics), an AI modeling agency tool, and had a roadmap to systematize the process: same backend, new landing pages, new SEO keywords, new market verticals.

This is his thesis: In an age where AI makes traditional labor (photography, copywriting, design) cheap to automate, indie hackers with technical depth can become one-person agencies competing with industries that employ thousands. His wife helps with customer support. An AI helps with everything else. He's become the archetype of the new indie hacker economy: fast, focused, willing to abandon yesterday's hit for tomorrow's opportunity.

He also launched a spam-fighting bot for Indie Hackers' forum (the community platform where this interview took place) using GPT-4 few-shot learning with just 10 examples. It never makes a mistake. He built it in an afternoon. This is the future he sees: not one massive business, but many small ones, each riding a wave of new tech until the big players catch up.