Florian Juengermann
@florian_jue
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co-founder @listenlabs. prev cse @harvard, autopilot @tesla
Joined December 2018
Very soon, all we will do as humans is to tell the AI what to build. Even though I love coding, I'm excited for the future where we can put the customer first.
AI writes your code. Now it talks to your users. We raised $27M from @Sequoia to build @ListenLabs. Listen runs thousands of interviews to uncover what users want, why they churn, and what makes them convert. See how @Microsoft and @canva use it:
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People started posting about it
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Story behind our viral SF billboard puzzle:. People on our team love puzzles and staying in the office past midnight on the weekends to work on IOI or IMO problems. So we created one ourselves to find the most obsessed engineers in San Francisco. The hard part is that LLMs
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Can you solve our billboard puzzle? If you do, there is another puzzle waiting for you. .
At Listen, we love hard problems and even harder puzzles. Decode the billboard, get the next challenge. Win an all-expenses Berlin trip + Berghain guest list (you'll see why).
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RT @itsalfredw: At Listen, we love hard problems and even harder puzzles. Decode the billboard, get the next challenge. Win an all-expens….
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RT @annarmonaco: Paradigm is the AI-native spreadsheet to eliminate menial work. Thousands of users have saved 10,000+ hours with Paradigm,….
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This game is not trivial to figure out as a human. I’m a bit skeptical of the Humans: 100% figure. But I’m sure LLM agents will solve it pretty soon.
Today, we're announcing a preview of ARC-AGI-3, the Interactive Reasoning Benchmark with the widest gap between easy for humans and hard for AI. We’re releasing:.* 3 games (environments).* $10K agent contest.* AI agents API. Starting scores - Frontier AI: 0%, Humans: 100%
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Highly recommend to technical early-stage startups to get Embed-ded in the incredible Conviction community!.
🚨 applications are open for the fifth batch of @conviction's batch program 🚨. Embed is a Schelling Point for the highest quality early-stage founders in AI: offering $150K cash, $500K+ compute, community and a catalyst to start a startup
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It's always astonishing to see where flight price optimization algorithms end up. All direct flights from London to San Francisco in August cost at least $2,720, while you can book round-trip direct flights for $518 total. Business travelers still need to buy one-way, I guess.
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Grok 4 still clearly fails my private "find the bug in this 50-line function" test. No model solves it today, but:.- Claude 4 Sonnet & Opus at least understand the problem after giving a strong hint. - Gemini 2.5 Pro agrees with the hint but still does not fully understand the.
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RT @itsalfredw: Our first salesperson has closed $1M ARR in May. Now I’m building the dream team. Here's 6 roles I'm looking for:. - tech….
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RT @ListenLabs: Listen has raised $27M in seed + Series A led by @sequoia with participation from @conviction and @pearvc .
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RT @tbpn: "To build a great company, you need to write code and talk to users." - @florian_jue (co-founder of @ListenLabs). "AI agents can….
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RT @mvernal: 1/ We (@conviction) are excited to double-down on @itsalfredw, @florian_jue and the team at @ListenLabs. .
listenlabs.ai
Listen Labs conducts customer interviews for you and summarizes responses into insightful and actionable reports.
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RT @prnvrdy: we (@conviction) are excited to double-down on our investment in @ListenLabs . @itsalfredw and @florian_jue were part of the f….
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RT @FortuneMagazine: Exclusive: @ListenLabs, a Sequoia-backed startup that uses AI to conduct thousands of voice interviews simultaneously….
fortune.com
AI that interviews your customers, builds your PowerPoint, and tells you what to do next — that’s the $27M bet Sequoia is making on Listen Labs.
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RT @itsalfredw: AI writes your code. Now it talks to your users. We raised $27M from @Sequoia to build @ListenLabs. Listen runs thousands….
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Watch our launch video:
AI writes your code. Now it talks to your users. We raised $27M from @Sequoia to build @ListenLabs. Listen runs thousands of interviews to uncover what users want, why they churn, and what makes them convert. See how @Microsoft and @canva use it:
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