Three years. That’s how long I spent chasing a ghost. A ghost with a perfect, human-sounding voice. I poured millions of my own money into a voice AI startup that came this close to flatlining and taking me down with it. You’d think after two successful exits (RemoteTeam, MovieLaLa) and a portfolio of 200+ angel investments including some little companies called Anthropic, OpenAI, and Scale AI, I’d have a handle on things. Nope. I was in over my head, and I’m here to tell you the whole ugly story. If you’re a founder, or just someone who enjoys a good old-fashioned tale of near-total implosion, pull up a chair. This is going to be good.
The Siren Song of a Perfect Voice
It started with a question that wouldn't leave me alone: Why do our smart devices still sound so... dumb? We're living in 2024, not 1984. I got this crazy idea in my head that I could create AI voices that were not just human-like, but human. Voices with soul. Voices that could tell a joke, read a bedtime story with real warmth, or even preserve the voice of someone you've lost. The idea consumed me. I went full-on obsessive, diving into the world of voice cloning and text-to-speech. I’m talking 20-hour days, reading research papers until my eyes blurred, and convincing a team of brilliant (and probably equally crazy) engineers to join me on this quest. We were going to build the holy grail of voice AI.
Burning Money to Build a Dream
And we did. We built a platform that could clone a voice from just a few seconds of audio with terrifying accuracy. The tech was magic. The business? Not so much. Here’s the thing about magic: it’s expensive. I remember staring at our burn rate and feeling physically ill. We were burning through $500,000 a month. On servers. On data. On paying the brilliant engineers. I’d run lean startups before, but this was a different beast. A lot of that cash was my own. I watched my net worth plummet. There were nights I’d lie awake, the ceiling looking like a spreadsheet of our mounting losses, and I’d ask myself, “Am I a visionary or just a fool who’s about to lose everything?” I was so drunk on the technology that I’d forgotten the first rule of business: you need a business. As I wrote in my post about my journey as an angel investor, I’m usually the one asking the tough questions about monetization. This time, I had no answers.
The Reckoning
The music stopped at a board meeting. Our lead investor, a man who had seen it all and wasn’t impressed by much, cut right to the chase. “Sahin,” he said, his voice as cold as a server room, “the tech is a marvel. But you’re burning cash like it’s going out of style. You have six months. Six months to find a business model, or this company is a smoking crater.” He was right. I had been so focused on creating art that I’d forgotten to build a product. The next few months were a blur of desperation. We pivoted so many times we were spinning in circles. We pitched everyone. We begged. We pleaded. I had to lay off some of the best people I’ve ever worked with, and that was a special kind of hell. The team was shattered. I was shattered. I remember sitting in my car after one particularly brutal rejection, the investor’s words still ringing in my ears, and thinking, “This is it. It’s over. I’m a failure.”
A Lifeline in the Chaos
Then, a lifeline. A small, scrappy podcasting company reached out. They’d heard about our tech and had a wild idea: what if they could use our AI voices to create entire podcasts? It wasn’t the grand vision of AI companions I’d started with, but it was a customer. A real, paying customer. We jumped at it. We worked with them to build a custom solution, and it worked. They were creating high-quality audio content for a fraction of the cost, and we had our first real revenue. It was a tiny win, but it felt like winning the lottery. It was enough. We started focusing on the podcasting market, and slowly, painstakingly, we started to build a real business. We were a long way from profitable, but we were no longer staring into the abyss. I learned a hard lesson that day: sometimes the best ideas are the ones that find you. As I talk about in my book, Becoming Top 1%, you have to be ready to jump on an opportunity, even if it’s not the one you were looking for.
The Scars and the Stars
So, what did I learn from my three-year, near-death experience in the voice AI trenches? First, don’t get high on your own technology. It’s easy to fall in love with your own creation, to believe it’s so revolutionary that the world will beat a path to your door. The world is a busy place. It doesn’t care how cool your tech is unless it solves a real problem. Second, be a cockroach. Survive. The market will punch you in the face. Hard. You have to be able to take the hit, get back up, and keep fighting. Third, and this is the one that really matters, don’t ever give up. There will be moments when you feel like you’re at the bottom of a deep, dark well. But if you believe in what you’re doing, and you have a team that believes in you, you can claw your way out. Building a startup is a brutal, soul-crushing, and utterly exhilarating ride. I wouldn’t trade the scars for anything. And who knows, maybe one day we’ll still change the world, one voice at a time. But for now, I’m just glad to be here to tell the tale.
Frequently Asked Questions
How has this view evolved over time?
My thinking on most topics has changed significantly over the years. Early in my career, I held many conventional views that experience proved wrong. I try to update my beliefs when the evidence changes.
How can I apply this thinking to my own situation?
Start by identifying the core principle behind the opinion, not the specific example. Then ask yourself: does this principle apply to my context? If yes, test it in a small, low-risk way before going all in.
What experience informs this perspective?
This perspective comes from over a decade of building companies in Silicon Valley, two successful exits (RemoteTeam to Gusto, MovieLaLa to Gfycat), and investing in 200+ startups including Anthropic, OpenAI, and Scale AI. I write about what I've lived.
What's the most common pushback you get on this?
People often push back by citing exceptions or edge cases. And they're usually right that exceptions exist. But building a strategy around exceptions rather than patterns is a losing game for most founders.