Building the product was easier than getting the first customer.

When I started building ResumeAtlas, I thought the hard part would be the AI.

Choosing models.
Building resume parsing.
Matching resumes against job descriptions.
Generating optimized bullet points.

Those were challenging—but they were solvable engineering problems.

The real challenge started after I launched.

A few things I've learned:

• Shipping a feature doesn't mean anyone wants it.

• SEO takes much longer than you expect.

• Getting traffic is one problem. Converting it is another.

• Small UX changes often have a bigger impact than adding another AI feature.

• The first paying customer feels impossible—until it happens.

One lesson that surprised me:

I spent weeks improving AI prompts while users were struggling with much simpler questions:

• "Is my resume ATS-friendly?"

• "Why is my resume getting rejected?"

• "How do I tailor it for this job?"

People don't buy AI.

They buy confidence and outcomes.

That realization changed how I build.

Instead of asking, "What feature should I build next?"

I now ask, "What is the biggest reason someone doesn't apply with confidence?"

Every feature starts from that question.

I'm still early in the journey, but it's already changed how I think about building SaaS.

For founders who have launched:

What assumption about building a startup turned out to be completely wrong once real users started using your product?

I'd love to hear your biggest surprise.