Non-developer builds healthcare SaaS in 3 weeks using Claude and Gemini: lessons learned

Project overview

A non-developer built a full SaaS platform called FastCredentials.com, a healthcare compliance credentialing platform for professionals needing continuing education certification. The site offers free learning modules and testing, with paid certificates for employers. The builder started with Gemini but switched to Claude after encountering significant issues.

Technical stack

The finished platform runs on:

• Python/Django backend
• Gunicorn and Nginx on Ubuntu VPS
• Stripe for payments
• WeasyPrint for PDF generation
• SQLite database
• Claude API powering automated blog content on a cron schedule

Gemini challenges encountered

The builder documented three major setbacks with Gemini:

• Setback 1: Gemini completely changed the site's look and feel during debugging, requiring 8 hours to restore the original design. The issue stemmed from Gemini focusing on immediate problems while forgetting previous formatting.
• Setback 2: Despite implementing rules like "No Guessing at any code" and "Source First Rule" (viewing all affected files before edits), Gemini at 3am confidently provided code that broke existing functionality, causing a 5-hour setback.
• Setback 3: One day before launch, a homepage video that had worked throughout the project stopped rendering. After 10 hours of failed debugging attempts, the builder switched to Claude and resolved the issue in 20 minutes.

Why Claude worked better

According to the builder, Claude demonstrated several advantages:

• Better understanding of project context across sessions
• Easier course correction when errors occurred
• Asking clarifying questions instead of charging ahead
• Consistently requesting to see files before editing
• Less tendency to generate unnecessary code during discussions

The builder noted that Gemini would often "completely hallucinate" by generating fixes for non-existent errors and referencing files not in the project.

Key takeaways

The builder emphasized that for someone with no coding background trying to build something real, "the difference in how [Claude] handles uncertainty is massive." The project was completed and deployed in three weeks entirely using AI assistance.