35M Users. $100M ARR. My 10-Year Bet Was Right. | Otter.ai, Sam Liang

Name: 35M Users. $100M ARR. My 10-Year Bet Was Right. | Otter.ai, Sam Liang
Uploaded: 2026-03-24T14:00:18.000Z
Duration: 8 min 10 s
Channel: EO

EOMarch 24, 20268m

Topics11

Critique of Traditional Education and Loss of Voice Knowledge0:00 Introduction to Otter.ai and Company Evolution0:31 Background and Influences1:02 Initial Challenges and Vision for Recording Meetings2:30 Product Adoption Curve3:01 Importance of Deep Technology3:31 Advantages of Owning Technology4:32 Behavior Changes with New Technologies5:31 Future of Voice as Primary Interface6:01 Long-Term Vision6:32 Persistence in Building Startups7:01

In a Nutshell

Sam Liang, Otter.ai's co-founder and CEO, built a speech recognition-powered AI meeting assistant from scratch in 2016, betting on voice AI's massive potential despite risks, evolving it into a meeting-centric enterprise knowledge base with 35M users and $100M ARR. Frustrated by lost historical voice knowledge and meeting note inefficiencies, he owned deep tech to differentiate, enabling low costs, free tiers, and modeling complex human conversations—problems unsolved by APIs. Voice will become the primary enterprise interface, replacing keyboards as AI handles writing; persistence over 10+ years builds generational companies, with 90-99% adoption still ahead.

AI-Generated Notes

These notes were generated by AI and may contain inaccuracies.

At Harvard University two days ago, many professors do not allow students to use tools like Otter for learning, which represents old thinking. The education system was created at least 100 years ago and must allow students to use AI tools. Although humans have been talking for thousands of years, most voice knowledge in history has been lost. We never heard Shakespeare or Charles Darwin, representing a tremendous loss of human knowledge and intelligence. These frustrations and insights led to the belief that voice AI will be huge in the future.

Sam Liang is co-founder and CEO of Otter.ai. Started as a transcription tool, evolved into an AI meeting assistant, and now building a meeting-centric enterprise knowledge base with Agentic workflows on top. Over 35 million users and exceeded $100 million ARR. Enterprises are adopting it to manage huge meeting content.

Did PhD at Stanford University. Learned from PhD advisor David Cheriton, who has vision for big impact and world-changing ideas. Cheriton recognized talent of Larry Page and Sergey Brin, writing a $100,000 check before they had anything. Learned to think big from him. At Google from 2006-2010, led Google Maps location platform. Quit in 2010 to start mobile startup in Palo Alto.

First startup built the first location tracking system and persistent sensing on mobile devices to understand user behaviors for personalized mobile services. Company successfully acquired. In 2016, thinking about something new and bigger. While building first startup, had many meetings with investors, internal team, and customers. Hard to remember all meeting content and share knowledge with team. Needed a better way.

In 2016, planned to record everything and enable sharing with team members. Most people uncomfortable: being recorded is uncomfortable, and sharing meeting notes uncommon since traditionally people take notes in personal paper notebooks. Anticipated mindset and culture would change, so built product to enable that change.

You can convince some people, not everyone. New products follow adoption curve. Early adopters of Otter get value sooner, become more effective and productive, show value to colleagues, and help convince others. To go big, pick something most people haven't been convinced about yet.

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35M Users. $100M ARR. My 10-Year Bet Was Right. | Otter.ai, Sam Liang

Critique of Traditional Education and Loss of Voice Knowledge00:00

Introduction to Otter.ai and Company Evolution00:31

Background and Influences01:02

First Startup and Inspiration for Otter.ai02:02

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