Latest / Solopreneur Sessions with Fexingo: One-Person Businesses, Freelancing, and Independent Work / How a Solopreneur Built a Business on One AI Prompt
Transcript
- Lucas: So there's this story that's been making the rounds in the indie hacker community, and it's about a solo developer who turned a single AI prompt into a business. Not a platform, not a suite of tools, just one prompt. Luna: One prompt? Like, a paragraph you type into ChatGPT and somehow money comes out? Lucas: Basically, yeah. His name is Marco, and he runs a tiny customer support outsourcing agency. He was drowning in repetitive tickets, so he wrote a prompt that generates empathetic, on-brand responses to common support queries. He used it internally for months. Luna: And at some point he realized other people might pay for that? Lucas: Exactly. He packaged it as a product called SupportGPT, stuck it on a simple landing page, and started charging forty-nine dollars a month. Within eight weeks he had three hundred paying customers. Luna: Wait, that's basically fifteen thousand dollars a month in recurring revenue. From one prompt? Lucas: It's around seventeen thousand now, actually. And the kicker is, he spends maybe two hours a week on it. The prompt is hosted on a simple web form, and he's built a few custom fields so people can input their brand voice and common issues. Luna: So what's stopping every other freelancer from copying that exact prompt and undercutting him? Lucas: That's the interesting part. He doesn't hide the prompt. It's actually displayed right on the landing page for anyone to see. What he sells is the convenience and the constant updating. Luna: He's basically selling the maintenance, not the thing itself. Lucas: Right. Every time the underlying AI models change, he tweaks the prompt to keep the output quality high. He sends out a changelog to subscribers. So the value is in the ongoing refinement, and he's built trust by being transparent. Luna: That's actually a really smart positioning. Most people try to hide their secret sauce, but he's leaning into the open-source ethos and making the product the relationship. Lucas: And it's working. He's now got a small waitlist for a premium tier that includes custom prompt tuning, which he charges two hundred dollars a month for. He's looking at adding a second prompt for sales outreach. Luna: But is this a sustainable business, or is it just a fad? I mean, AI is changing so fast, what happens when the models get so good that a simple prompt becomes obsolete? Lucas: That's the million-dollar question. Marco's bet is that the need for a human-curated layer won't disappear, even if the underlying tech shifts. He's already thinking about how to adapt the prompt to work with whatever comes next, whether that's a different model or a new interface. Luna: So he's building a moat with agility, not with patents or proprietary code. Lucas: Exactly. And it's a lesson that applies beyond AI. For solopreneurs, your advantage is often your ability to pivot quickly and stay close to your customers. Marco knows his customers because he was one. Luna: Yeah, he literally used the prompt himself for months before selling it. That's the ultimate dogfooding. Lucas: And it meant he already had a portfolio of real examples to show on the landing page, which is huge for conversion. He didn't need a polished demo video or a free trial, just screenshots of actual conversations. Luna: I love that. It's so concrete. It makes me think about all the little scripts and templates I've built for my own freelance work. Maybe there's a product buried in there. Lucas: That's the takeaway. Look at your own workflow for repetitive tasks that you've hacked together a solution for. That could be someone else's headache. Luna: But how do you know if it's worth building around? I mean, not every little script is a business. Lucas: Marco validated it by posting about it in a niche Facebook group for support agents. He asked if anyone would pay for a tool like this, and got fifty replies saying yes. That's a simple, low-cost validation that most people skip. Luna: So it's about finding a specific pain point and asking the right people, not just guessing. Lucas: Right. And it's also about pricing. He started at forty-nine dollars, which is low enough to be an impulse buy but high enough to signal quality. He's since raised it to sixty-nine for new customers, and churn hasn't moved. Luna: That's a nice little pricing experiment. He's basically testing price elasticity without a formal A/B test. Lucas: Now, there's a bigger conversation here about selling ai adjacent services as a solopreneur. We're seeing a wave of people building these micro-SaaS tools that are essentially wrappers around AI models. Luna: And a lot of them are pretty shallow. Like, just a UI slapped on top of the OpenAI API. But Marco's is different because he's adding a layer of expertise and ongoing care. Lucas: Exactly. The ones that survive will be the ones that provide real value on top of the raw model. That could be domain knowledge, workflow integration, or quality control. Marco has all three. Luna: And he's also got a personal brand now, which helps. People trust him because they've seen his journey unfold on Twitter. Lucas: That's a good point. He's sharing his revenue numbers and his process, which builds credibility. It's a virtuous cycle: transparency attracts customers, customers fund more transparency. Luna: But let's bring it back to the practical for our listeners. If someone wants to try this, like, start with a prompt or a template, what's the first step? Lucas: Pick one specific, recurring problem that you are intimately familiar with. Write a prompt that solves it. Use it yourself for at least a week, refining it until the output is consistently good. Then, before you build anything, go talk to ten people who have that same problem. Luna: And don't build a whole platform. Just a landing page with a form and a payment link. Marco used Carrd and Stripe, total setup cost under fifty dollars. Lucas: Yeah, and he didn't even build a login system. Customers just get an email with a link to a private page. It's bare-bones, but it works. Luna: It's refreshing to see a business that's genuinely minimal. No venture capital, no growth hacking, just a good tool and a clear audience. Lucas: And that's the kind of business we like to highlight here. It's accessible, it's practical, and it's a reminder that you don't need to be a tech giant to make a real income. Luna: Absolutely. And speaking of keeping things accessible, we should mention that we're able to keep this podcast ad-free thanks to listeners like you. If you value these conversations and want to support the work, you can buy us a coffee at buy me a coffee dot com slash fexingo. It's a small gesture that helps us cover the costs of production and keeps the episodes free for everyone. Lucas: Yeah, every little bit goes a long way, and it's completely optional. We're just grateful for the community that's grown around this show. Luna: Alright, back to Marco. What's next for him in the next year? Lucas: He's aiming to hit fifty thousand dollars in monthly recurring revenue by the end of 2027. To do that, he's planning to add a few more specialized prompts for different industries, like e-commerce and SaaS. He's also exploring a partnership with a customer support platform to integrate directly. Luna: So he's not just sitting on one prompt. He's building a portfolio of them. That's smart diversification. Lucas: And it's a natural progression. The first prompt proved the model, now he's expanding vertically. If he can nail a few more niches, he'll have a very solid micro-SaaS portfolio. Luna: I think the most inspiring part is that he started with something he needed, not something he thought would sell. That's a lesson for all of us. Lucas: Completely agree. So if you're listening and you've got a prompt or a template or even just a process you've been using for years, maybe it's time to ask: could this be a business? You might be sitting on your own SupportGPT.