Listen Labs is an autonomous researcher that talks to thousands of people, revealing exactly what they want and why.
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In our zero-person company experiment, the agent made every product improvement based on insights from real customer conversations.
There were limitations - the agent didn’t properly prioritize which insights to act on and rediscovered findings a researcher would’ve known to carry forward.
But we’re excited to see what’s possible when agents can build and talk to users.
Our intern just built the first zero-person company.
Listen's agent ran a loop:
- Interview users
- Build
- Test with real people
- Fix issues
- Repeat
2,000 interviews and 100 concepts later: an app with 100s of paying customers.
Here’s how it works:
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Read about the full breakdown of Gabor Granger here:
listenlabs.ai/features/gabor…
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Pricing research gives you a number. But a "no" can mean price sensitivity, or a gap between price and perceived value.
One means changing the price, the other means changing how you explain the product's value.
The interview tells you which one it is.
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Listen Labs now supports Pricing Tests with our first pricing method: Gabor Granger.
Every point on the demand and revenue curves comes with the "why" behind it, from an AI-moderated interview you can go back and watch.
Live for all users today.
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Our second @ListenLabs Chess Club tournament is here.
Join us next Thursday, September 24th at 6pm at our HQ in San Francisco.
All levels welcome.
Casual boards ready if you want to play for fun. Food/drinks on us if you just want to come hangout.
Let the best king or queen win.
RSVP → partiful.com/e/XYmI3LqPhrETJ…
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Listen Labs was one of exactly two products @AnthropicAI's Head of Product Design, @joellewenstein, named when asked what earns an outside tool a spot at Anthropic.
"Do you provide something beyond what we can code internally," he said. "It sounds like an obvious statement, but ultimately that's the bar."
Honored to be in daily use at Anthropic alongside an incredible product, @figma.
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Listen Labs retweeted
The 2026 Intelligent Applications 40 is here.
Now in its sixth year, the IA40 recognizes the top private companies shaping the future of applied AI, from foundational infrastructure to full-stack intelligent applications.
This year's list reflects a market maturing fast:
→ 450+ companies nominated and voted on by 72 investors across 54 leading firms
→ $410B raised by this year's 45 winners since founding — more than 25x what the inaugural 2021 class had raised at the same point
→ 23 repeat winners and 22 new entrants, a 49% turnover rate, down from 68% last year, as some of 2025's breakout companies start to entrench
The big pattern this year is how companies are “Harnessing the Value of AI.” As frontier models become more capable and commoditized, the winners are increasingly the companies proving they can turn AI capability into real ROI, whether they're building the application, aggregating the models, or supplying the infrastructure underneath. Databricks remains the only company to appear on every IA40 list since we launched it in 2021.
Congratulations to all the 2026 IA40 winners. Your work is defining what's possible in this new era of intelligent applications.
Explore all 45 winners and our analysis of the companies, categories, and funding patterns defining this year’s list → ordnl.link/RAFgnA7
Thank you to our great partners: @AWSstartups, @GoogleStartups, @Microsoft, @NYSE, @Delta, and @McKinsey.
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Listen Labs retweeted
When you give a coding agent a clear metric to optimize for, they will move mountains to make it happen. So we tried it on our entire Listen codebase. Ole shares our learning here
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Listen Labs retweeted
super impressive example of combining machines-asking-humans in order to efficiently direct use of compute against a goal
Our intern just built the first zero-person company.
Listen's agent ran a loop:
- Interview users
- Build
- Test with real people
- Fix issues
- Repeat
2,000 interviews and 100 concepts later: an app with 100s of paying customers.
Here’s how it works:
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Join and learn how to become a founder!
The most important AI companies haven't been founded yet.
Some will start at Listen.
Join as an engineer. Ship real products. Get masterclasses on ideas, fundraising, and scaling from Sequoia.
30% of us are former founders. This is the program we wish we'd had.
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Nobody likes context switching.
Especially when they're doing their best work.
That’s why we built Listen MCP.
Now you can connect Listen directly to the AI tools your team already uses. Claude, Notion, Figma, ChatGPT, Cursor and any MCP-compatible tool can reach into your Listen workspace to pull themes, quotes, and cross-study synthesis instantly and in plain language.
MCP access is live for existing customers today. Read more: listenlabs.ai/blog/listen-mc…
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Listen Labs retweeted
In user interviews, a frown is great feedback.
But it never makes it into the transcript.
That's why we built Emotional Intelligence.
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We’re excited to share our biggest update yet: Research Agent.
Listen’s AI-moderator made it possible to talk to thousands of users. Research Agent handles everything that comes after: segmented analysis, significance testing, and generating stakeholder-ready deliverables (charts, reels, slides, reports), all in a single session.
Introducing Claude Code for research.
Listen’s Research Agent lets you analyze data, quantify insights, and generate research deliverables all in Listen, much like how developers use Claude Code.
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Research Agent is available today. Open any study in Listen and start a conversation on the Analysis page. Read more: listenlabs.ai/blog/research-…
You listened to your users. Now understand them.
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We’re thrilled to announce our Series B round with $100,000,000 in total funding, led by @RibbitCapital , with participation from @sequoia , @conviction, @EvanticCapital, and @pearvc.
Today, Listen crossed $100M in funding.
Building is easy now. Knowing what to build isn't.
Our AI finds and talks to your users so you don't have to guess.
See how Sweetgreen, Microsoft, and Replit use it:
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Since our launch nine months ago, Listen has interviewed over one million people and served hundreds of enterprises including Microsoft, Sweetgreen, Perplexity, Robinhood, and more. This funding will help us put the voice of the customer behind many more decisions at many more companies.
To our friends, colleagues, partners, and customers, thank you. Excited for what’s next!
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Come and chat about design!
We're hosting a dinner with the legend @jasonyuan for designers who think like product owners on December 2nd.
We're also hiring a founding design team!
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