Listen Labs Raises $69M After That Viral Berghain Billboard Stunt

Alfred Wahlforss was in a bind. His startup, Listen Labs, needed to hire over 100 engineers. Competing against Mark Zuckerberg’s $100 million offers was a non-starter. So he did something desperate: he spent $5,000 — a fifth of his marketing budget — on a billboard in San Francisco covered in what looked like random numbers.

Those numbers weren’t random. They were AI tokens. Decode them, and you got a coding challenge: build an algorithm that acts as a digital bouncer for Berghain, the Berlin nightclub famous for rejecting almost everyone at the door. Thousands tried. 430 cracked it. Some got hired. The winner got an all-expenses-paid trip to Berlin.

That stunt just landed Listen Labs $69 million in Series B funding, led by Ribbit Capital with Evantic, Sequoia Capital, Conviction, and Pear VC chipping in. The round values the company at $500 million, bringing total capital to $100 million. Not bad for a company that’s only been live for nine months. In that time, annualized revenue has grown 15x to eight figures, and they’ve conducted over a million AI-powered interviews.

“When you obsess over customers, everything else follows,” Wahlforss told VentureBeat. “Teams that use Listen bring the customer into every decision, from marketing to product, and when the customer is delighted, everyone is.”

The broken state of market research

Listen’s core product replaces the tired trade-off between quantitative surveys and qualitative interviews. Surveys give you numbers but miss nuance. Human interviews give you depth but can’t scale. Listen’s AI finds participants, conducts open-ended video conversations, and spits out actionable insights in hours instead of weeks.

“Essentially surveys give you false precision because people end up answering the same question,” Wahlforss said. “You can’t get the outliers. People are actually not honest on surveys.” The alternative — one-on-one human interviews — “gives you a lot of depth. You can ask follow up questions. You can kind of double check if they actually know what they’re talking about. And the problem is you can’t scale that.”

The platform works in four steps: create a study with AI help, recruit from a network of 30 million people, let an AI moderator conduct the interview with follow-ups, and get back an executive-ready report with themes, highlight reels, and slide decks.

What actually sets Listen apart is the video format. “In a survey, you can kind of guess what you should answer, and you have four options,” Wahlforss said. “Oh, they probably want me to buy high income. Let me click on that button versus an open ended response. It just generates much more honesty.”

The fraud problem nobody talks about

Building that 30-million-person panel forced Listen to confront what Wahlforss called “one of the most shocking things that we’ve learned when we entered this industry” — rampant fraud. Market research is a $140 billion industry, and a lot of that money goes to bad data.

“Essentially, there’s a financial transaction involved, which means there will be bad players,” he explained. “We actually had some of the largest companies, some of them have billions in revenue, send us people who claim to be kind of enterprise buyers to our platform and our system immediately detected, like, fraud, fraud, fraud, fraud, fraud.”

Listen built a “quality guard” that cross-references LinkedIn profiles with video responses, checks answer consistency, and flags suspicious patterns. The result? “People talk three times more. They’re much more honest when they talk about sensitive topics like politics and mental health.”

Emeritus, an online education company, reported that roughly 20% of their survey responses used to be fraudulent or low-quality. With Listen, that dropped to almost zero. “We did not have to replace any responses because of fraud or gibberish information,” said Gabrielli Tiburi, Assistant Manager of Customer Insights at Emeritus.

Real companies, real speed

The speed advantage is the real selling point. Microsoft’s traditional customer research could take four to six weeks to generate insights. “By the time we get to them, either the decision has been made or we lose out on the opportunity to actually influence it,” said Romani Patel, Senior Research Manager at Microsoft. With Listen, they get insights in days, sometimes hours.

Microsoft used Listen to collect global customer stories for its 50th anniversary. Sweetgreen and Chubbies are also on the client list. The pitch is simple: stop waiting weeks for data that might be fake, and start getting real conversations in hours.

Listen Labs is still early, but the trajectory is hard to ignore. A $5,000 billboard turned into a $500 million company. Not bad for a guy who couldn’t compete with Zuck.