Listen Labs raised $69M after a viral billboard stunt. The product is actually good.

Alfred Wahlforss was desperate. His startup, Listen Labs, needed to hire over 100 engineers, but competing against Zuckerberg’s $100 million offers felt hopeless. So he spent $5,000 — a fifth of his marketing budget — on a billboard in San Francisco. It showed what looked like gibberish: five strings of random numbers.

Those numbers were AI tokens. Decoded, they led to a coding challenge: build an algorithm to act as a digital bouncer at Berghain, the Berlin nightclub famous for rejecting almost everyone at the door. Thousands attempted the puzzle. 430 cracked it. Some got hired. The winner flew to Berlin, all expenses paid.

That stunt went viral, and now Listen Labs has raised $69 million in Series B funding led by Ribbit Capital, with participation from Evantic and existing investors Sequoia Capital, Conviction, and Pear VC. The round values the company at $500 million and brings total capital to $100 million. In nine months since launch, they’ve grown annualized revenue by 15x to eight figures and conducted over one 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 Labs is replacing the tired choice between quantitative surveys (precise but shallow) and qualitative interviews (deep but unscalable). Their AI handles the whole loop: finds participants, conducts in-depth video interviews, and delivers actionable insights in hours, not weeks.

Wahlforss nailed the problem with surveys: “Essentially surveys give you false precision because people end up answering the same question… You can’t get the outliers. People are actually not honest on surveys.” Human interviews give you depth and follow-ups, but “you can’t scale that.”

The platform works in four steps: create a study with AI assistance, recruit from a global network of 30 million people, let an AI moderator conduct open-ended video conversations with follow-ups, and get results packaged into executive-ready reports with key themes, highlight reels, and slide decks.

What makes this different is the open-ended video format instead of multiple-choice forms. “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 dirty secret of the $140 billion market research industry

Building a panel of 30 million people meant confronting what Wahlforss called “one of the most shocking things that we’ve learned when we entered this industry” — rampant fraud.

“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 consistency across answers, 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 using Listen, reported that roughly 20% of their survey responses were 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 customers, real speed

The speed advantage is central to the pitch. Traditional customer research at Microsoft could take four to six weeks. “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, Microsoft gets insights in days, often hours.

The platform has already powered high-profile initiatives. Microsoft used it to collect global customer stories for its 50th anniversary. Sweetgreen and Chubbies are also on board, using AI interviews to build better products.

My take

I’ve seen a lot of AI startups that are all hype and no substance. Listen Labs is different. The billboard stunt got attention, but the product actually solves a real problem. Market research is notoriously slow, expensive, and riddled with fraud. If Listen can deliver genuine insights in hours instead of weeks, and keep fraud near zero, they’re onto something.

The $500 million valuation feels rich for a nine-month-old company, but 15x revenue growth to eight figures is hard to ignore. The question is whether they can maintain that pace as competitors catch on. For now, they’ve got the momentum and the funding to scale.