Latest / The Founder's Journey with Fexingo: First-Time Entrepreneurs, Failures, and Lessons Learned / How Rejected Product Names Built a 40M Branding Business
Transcript
- Lucas: Maya Torres spent three months coming up with forty-seven names for a client's new line of kitchen gadgets. The client rejected every single one. So she started a business built entirely on naming other people's products. Luna: Wait — she was a freelancer at the time, right? Who was the client? Lucas: Yeah, she was doing freelance brand consulting in 2018. The client was a mid-sized home goods company — I won't name them because the story is more about what Maya did next. She realized that most companies treat naming as an afterthought. They brainstorm for an afternoon, pick something mediocre, and then spend millions marketing a forgettable name. Luna: So she decided to build a business around that gap. What was her pitch? Lucas: She positioned NameCraft as a pure naming studio. Not branding, not logo design, not strategy — just names. Her core offering: for a flat fee of fifty thousand dollars, she would deliver a shortlist of ten names, each backed by linguistic analysis, trademark screening, and consumer testing. No revisions. No endless back and forth. You either pick one, or you don't. Luna: Fifty thousand dollars for ten names? That's five thousand per name. And people actually paid that? Lucas: They did — and quickly. By the end of 2020, NameCraft had completed thirty projects. That's one point five million in revenue in year two. Her first big break came from a smart lighting startup that had been struggling to find a name that worked globally. She gave them 'Lumin' — a word that works in English, Spanish, French, and Italian. That product went on to become one of the best-selling smart lights of 2021. Luna: Lumin — I know that brand. It's sleek. So how did she turn that into a forty-million-dollar business? Lucas: She scaled the process. Maya built a proprietary database of twelve thousand name roots — morphemes, suffixes, prefixes from a dozen languages. That database is the core asset. She also developed a three-stage testing system: first, a trademark screen using automated tools; second, a cultural check with native speakers in five regions; third, a consumer perception test with a panel of five hundred people. Clients get a report on how each name scores on metrics like memorability, pronounceability, and emotional resonance. Luna: That's a lot of infrastructure for ten names. But it explains the price tag. How many projects does she do a year now? Lucas: About a hundred and fifty. At fifty thousand each, that's seven point five million in revenue annually. But here's the interesting part — she has a ninety percent acceptance rate. Meaning clients almost always pick one of the ten names. That's incredibly high for creative services. Luna: So what happens to the rejected names? Do they go back into the database? Lucas: Exactly. Maya told me that the database is essentially a living library. Every rejected name gets tagged with why it was rejected — trademark conflict, cultural issue, weak score — and that data feeds back into the algorithm. Over time, the system gets smarter about what will pass. This is a classic data network effect: the more projects they do, the better their names become, and the higher the acceptance rate. Luna: That makes the fifty thousand dollars seem almost reasonable. But doesn't the flat fee limit growth? If you're doing a hundred and fifty projects a year, you hit a ceiling eventually. Lucas: That's the tension. Maya's been exploring a tiered model — maybe a seventy-five-thousand-dollar tier for global launches with more linguistic testing. But she's been cautious. She told me the brand is built on simplicity. If she starts adding options, the message gets muddy. Luna: It's a classic choice: stay pure and small, or scale and risk dilution. What did you take away from her story? Lucas: The rejection was essential. If that client had accepted one of her names, she might never have seen the market gap. The lesson isn't just about persistence — it's about using rejection as data. She didn't get bitter; she got analytical. Luna: And now she's built a forty-million-dollar business on something most people don't even think about. That's a good reminder that niche focus can be incredibly powerful. Lucas: It's also a reminder that if you're a founder or freelancer listening, sometimes the thing you're great at is so specific you don't realize it's a business. Maya almost dismissed naming as 'just a small part of branding.' But that small part was a forty-million-dollar opportunity. Luna: And if these kinds of conversations have given you a new angle on your own work, we do have a small ask — listener support is what keeps this show ad-free and allows us to dig into stories like this. If you'd like to chip in, you can find us at buy me a coffee dot com slash fexingo. Lucas: Exactly. No pressure — just if it's added some value. So back to Maya's story: she's now exploring how to automate the cultural check using AI, but she's careful not to lose the human nuance. She says the best names have an inexplicable spark that algorithms can't capture. Luna: That's the tension between efficiency and creativity. Will she ever license the database to other agencies? Lucas: She's considering it, but wants to keep it exclusive for now. The database is her moat. If everyone has access, the premium pricing disappears. Luna: Smart. So what's next for NameCraft? Lucas: Maya's working on a book about the art of naming, and she's launching a podcast — fittingly called 'What's in a Name?' — where she deconstructs famous product names. I think it'll be a hit. Luna: I'd listen. Maya Torres turned rejection into a forty-million-dollar naming empire. That's a founder's journey worth remembering. Lucas: Absolutely. Next time you're struggling to name something, remember: the right name can be worth millions. And sometimes the best ideas come from the ones that got rejected.