10x Your Chances of Finding Product-Market Fit with Vibe Coding — with Ali Hafizji
Ali Hafizji is the CEO of Wednesday Solutions and the creator of the Vibe Sprints system — an AI-powered approach to product validation that gives early-stage startups up to 10x more chances to achieve product-market fit. A serial founder and technologist, Ali has built and scaled products handling over 1 billion+ requests per hour, authored technical books, and helped dozens of teams go from MVP to market traction.
At Wednesday, he works with founders post-MVP, helping them avoid wasted sprints, move past vanity metrics, and build lean, validated solutions using Vibe Coding and AI-native teams. If you're working toward product-market fit in 2025, this is the framework you can't afford to ignore.
In our conversation, Ali shares:
→ Why polishing MVPs slows you down — and what to do instead
→ How to structure rapid prototyping that tests real customer behaviour
→ The #1 mistake startups make after launch
→ How customer discovery fits into modern product management
→ Why direction beats speed in the search for PMF
→ What makes Vibe Coding different from agile or lean
→ Why the future of startup teams is small, AI-native pods with massive velocity
Whether you're a startup founder, product leader, or operator navigating the messy middle between MVP and traction, this episode is packed with practical insights for achieving startup success in 2025 and beyond.
Where to find Ali Hafizji:
→ Website: https://www.wednesday.is/
→ LinkedIn: https://www.linkedin.com/in/alihafizji/
Where to find Mike Sirius:
→ Website: https://www.mikesirius.com
→ LinkedIn: https://www.linkedin.com/in/msirius/
In this episode, we cover:
00:00 Introduction to Vibe Sprints
04:49 The Shift from Speed to Direction
09:49 Understanding Insights and Validation
15:13 The Dangers of Polishing MVPs
19:51 The Role of AI in Product Development
24:58 Measuring Success in Vibe Sprints
29:56 The Future of Agile Practices
41:03 The Precipice of Change in Enterprises
44:05 AI Tools: Prototyping vs. Production
47:06 The Role of Experienced Developers in AI
50:30 Bottom-Up Innovation: The Future of AI Adoption
52:42 Essential AI Tools for Development
01:02:23 User Feedback: Observing and Understanding Users
01:06:29 Proving Traction Before Development
01:11:10 Balancing Validation and Runway Risk
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