How Prompt Engineering Inventor Built $1.5B in 3 Years | You.com, Richard Socher

ℹ️ EPISODE INFO

Released

January 22, 2026

Duration

12m

Channel

EO Studio

Watch on YouTube

▶ Open ↗

📝 EPISODE DESCRIPTION

We met Richard Socher, the founder of You.com. Richard spent 17 years proving that AI could understand human language back when the world dismissed it as a "crazy idea." After serving as the Chief Scientist at Salesforce, he walked away from the top to reinvent the search engine. From inventing Prompt Engineering to building a $1.5B unicorn in just 3 years, Richard reveals why he bet everything on Deep Learning, why AI giants like OpenAI now pay for his tech, and how to stay "stubborn" enough to win in the agentic era. 00:00 Intro 01:39 How the Inventor of Prompt Engineering Built a $1.5B Unicorn 02:39 Why Linguistics is the Operating System of Intelligence 04:15 The Moment We Had to Scale Up 05:27 Solving for Impact When Everyone Said No 06:50 The Beginning of You.com: Challenging Google 08:04 Build What People Will Actually Pay For 09:27 Are You Moving Fast Enough to Lead the AI Era? 🔗 Read the full transcription of Richard's interview: https://www.eomag.io/article/you.com-richard-socher?utm_source=youtube&utm_medium=description EO stands for Entrepreneur& Opportunities. As we're looking to feature more inspiring stories of entrepreneurs all over the world, don't hesitate to contact us at partner@eoeoeo.net X | @eostudi0 LinkedIn | @EO STUDIO Newsletter | https://www.eomag.io/subscribe?utm_source=youtube&utm_medium=description

🎤 SPEAKERS

• Richard Socher

  guest

  AI researcher and entrepreneur; CEO/co-founder of You.com and former Salesforce Chief Scientist, known for early neural-network breakthroughs in NLP at Stanford.

🧾 EPISODE SUMMARY

In this episode of EO Studio, featuring Richard Socher, How Prompt Engineering Inventor Built $1.5B in 3 Years | You.com, Richard Socher explores Richard Socher on building You.com and scaling AI search infrastructure Socher recounts pushing neural networks for NLP when the field rejected them, arguing that first-principles conviction matters more than popularity.

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