AI has made building software easier than ever.

Today, a single developer can create a SaaS product, launch an AI-powered application, design a website, and automate workflows in days instead of months. Yet despite having access to tools like ChatGPT, Claude, Gemini, Cursor, and AI coding assistants, most side projects still fail.

Why?

In this episode, Dhanush Kandhan explores the hidden reasons behind failed side projects, startup ideas, and SaaS products in the AI era. From the illusion of productivity to the importance of customer understanding, distribution, product-market fit, and human psychology, we discuss what truly separates successful builders from everyone else.

If you're a:

• Software Developer
• Engineering Student
• SaaS Founder
• Indie Hacker
• Startup Builder
• Product Manager
• AI Enthusiast

this episode will help you rethink how you approach building products in 2026 and beyond.

✅ Why AI makes building easier but success harder
✅ The biggest mistake most founders make
✅ Why product-market fit matters more than code
✅ The difference between building software and building a business
✅ What AI cannot replace
✅ The new competitive advantages in the age of AI
✅ Practical lessons from real-world product building

What You'll Learn