About this episode

Collin Stewart interviews Olga Voigt about building and selling products in the AI market, emphasizing value first.

Most conversations about product-market fit stay abstract. This one didn’t. In this episode of the Predictable Revenue podcast, host Collin Stewart sat down with Olga Voigt, co-founder of Zibble AI, to break down what it actually takes to build and sell a product in today’s market, especially in AI. What emerged was an entirely different lens: focus on value first, and let the product catch up. Highlights include: Building a Team of Experts (06:51), Understanding Value Market Fit (08:41), Transitioning from Services to Product (13:00), Gathering Feedback and Iteration (16:37), and more... Stay updated with our podcast and the latest insights on Outbound Sales and Go-to-Market Strategies!

People in this episode

Host: Collin Stewart

Guest: Olga Voigt

Topics covered

• product-market fit
• SaaS success
• AI
• value market fit
• team building
• feedback and iteration

Keywords

• product-market fit
• SaaS
• AI
• value market fit
• team building
• feedback
• iteration

Mentioned in this episode

Organizations: Zibble AI

More episodes of The Predictable Revenue Podcast

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• 422: Find the Pain or Build Forever with Sridhar Uyyala · April 9, 2026 · 19 min
• 421: From Product Management to AI Startup with Gavin McNamara · April 2, 2026 · 37 min
• 420: From Pharma to AI with Ome Ogbru · March 19, 2026 · 28 min
• 419: From 500 Conversations to Product-Market Fit with Asad Tirmizi · March 12, 2026 · 35 min
• 418: The Startup Validation Playbook with Alexey Sapozhnikov · March 5, 2026 · 29 min

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