Latest / The Founder's Journey with Fexingo: First-Time Entrepreneurs, Failures, and Lessons Learned / How a Rejected Pitch Built a 45M Recruitment Platform
Transcript
- Lucas: So there's this recruitment platform that's now valued at around 45 million dollars, and the founding story starts with a pitch deck that got rejected by seventeen different investors. Luna: Seventeen? That's brutal. What made them keep going? Lucas: Honestly, it was the founder's own frustration. She was a recruiter for about eight years, and she watched the same problem play out every single day: resumes flooding in, but the right candidates slipping through. So she built a tool for herself, just to automate the initial screening. That internal tool turned into the product. Luna: So she didn't start with the pitch. She started with the pain. That's a different origin than most stories we hear. Lucas: Right, and that's why the pitch deck failed. She was pitching a job board, because that's what investors understood. But the actual product was an AI matching engine. The deck was trying to fit a square peg into a round hole. Investors kept saying, 'There are already a hundred job boards, what's different?' And she couldn't articulate it because she was framing it wrong. Luna: What was the breaking point? When did she decide to change the framing? Lucas: After rejection number twelve or so, she stopped pitching altogether for about three months. She went back to using the tool herself, with actual clients, and she realized the matching engine was reducing time to hire by 40 percent in her own placements. That's when she had the clarity: she wasn't building a job board, she was building a data product. The job board was just the interface. Luna: That's a huge mental shift. And I imagine the pitch changed completely after that. Lucas: Completely. She rewrote the deck around the algorithm: how it parsed resumes, scored candidates against job requirements, and learned from hiring outcomes. That's when a seed fund finally said yes, but even then, it was a small check. The real validation came from a mid-sized logistics company that signed on after a three-month pilot, because their recruiters were spending 30 percent less time on initial screens. Luna: That's the kind of concrete number that makes a story stick. And it's interesting because she had to get rejected to find the right story. Lucas: Exactly. And that's a pattern we've seen across many founder stories. Rejection forces you to strip away the noise and focus on what actually solves a problem. It's painful, but it's clarifying. If the first pitch had worked, she might have built a mediocre job board and never discovered the real opportunity. Luna: I think that's one of the reasons I love this show. These stories remind me that rejection isn't the end, it's just data. And if you're listening and these conversations have moved your work forward in some small way, you can support the show by buying us a coffee at buy me a coffee dot com slash fexingo. It helps keep the episodes ad-free. Lucas: Yeah, and every bit genuinely helps us keep digging into stories like this. So, back to the platform — after that first client, how did they scale from there? Luna: I was going to ask the same thing. What happened between that first pilot and the 45 million valuation? Lucas: The next twelve months were about iterating on the matching algorithm. They hired a couple of data scientists and built a feedback loop: every time a recruiter rejected a candidate, the system learned. That was the moat. Within two years, they had over 4,000 companies using the platform, and the average time to hire dropped by another 15 percent. Luna: So it's not just about the initial idea, it's about the continuous learning. That's what creates the competitive advantage. Lucas: Exactly. And that's why they beat out the bigger players. They weren't trying to be the biggest job board; they were trying to be the smartest matching engine. And that focus allowed them to grow organically, mostly through word of mouth among HR professionals. Luna: But there must have been a crisis along the way. What was the near-death moment? Lucas: Year two, they landed a big enterprise client, a global retailer. That client demanded a bunch of custom features, and the team spent months building them. But the features didn't help the core algorithm, and the enterprise client churned six months later. They lost nearly half their revenue overnight. The founder had to lay off a third of the team. Luna: That's harsh. How did she recover from that? Lucas: She went back to the original principle: focus on the matching engine. She cut all non-core features, even some that clients were paying for. And she made a tough decision to stop chasing enterprise deals for a while, focusing instead on mid-market companies that needed immediate value. That saved them. Luna: So it was another pivot, but this time it was about saying no to revenue that wasn't aligned with the mission. Lucas: Exactly. And that's a lesson that goes beyond this story. It's tempting to take any money that's offered, but if it pulls you away from your core value proposition, it can sink you. The founder later said that the churn was the best thing that happened, because it forced her to recommit to the product. Luna: What's the current state? You mentioned 4,000 companies, but how does that translate to revenue? Lucas: They're at about 12 million in annual recurring revenue, with a gross margin of 85 percent. The valuation of 45 million is actually conservative for a SaaS company growing at 30 percent year-over-year. They're not the biggest player, but they're profitable and they've got a strong niche in mid-market logistics and healthcare. Luna: And what's the long-term play? Are they looking at mergers and acquisitions, or an IPO? Lucas: The founder has said she's not in a rush. She's seen what happens to companies that scale too fast. She's focused on expanding into adjacent verticals, like internal talent mobility within companies. And there's talk of a potential acquisition by one of the larger HR software suites, but nothing imminent. Luna: It's refreshing to hear a founder who's not obsessed with the exit. So what's the one lesson you think listeners should take away from this story? Lucas: I'd say it's that rejection is not a signal to quit, it's a signal to reassess. If the market keeps telling you no, the problem might not be your idea — it might be how you're framing it or what you're actually building. In this case, the founder was solving a real problem, but she was presenting it as something it wasn't. The rejection forced her to find the true product. Luna: That's a powerful takeaway. And it's a good reminder that sometimes the best thing that can happen to a startup is a string of rejections that force clarity. Lucas: Absolutely. And I think that's what makes these stories so valuable. They're not just about success, they're about the messiness in between. If you're in the middle of that mess right now, keep going. But also, take a hard look at what the rejections are telling you. Luna: Well said. That's a wrap for today. We'll be back on Friday with another founder story. Until then, keep building.