I Built Testimonial Genius in 3 Days: Here's the Thought Process

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I Built Testimonial Genius in 3 Days: Here's the Thought Process

How I built and launched an AI-powered testimonial analysis tool in 3 days using Next.js, FastAPI, and Gemini. A micro-SaaS experiment in rapid AI-native development.

|Aditya Bawankule
AISaaSMicro-SaaSNext.jsFounder

Over the last few days, I built and launched TestimonialGenius.com — a simple AI-powered tool that turns raw customer testimonials into clean, categorized, marketing-ready quotes and insights.

It extracts themes, ranks the best quotes, tags sentiment, and outputs a beautiful branded PDF or CSV — all in seconds.

But this wasn't just another "AI wrapper." This was my experiment in what a micro-SaaS can be in 2025 — fast to build, niche in scope, and useful from day one.


Where the Idea Came From

It started with a pattern I noticed across startups and agencies I've worked with: everyone has customer testimonials. Almost nobody actually uses them well.

They're scattered across Notion docs, Shopify exports, G2, or Google Reviews — just sitting there. But hidden in that mess are valuable patterns and high-converting quotes.

So I asked myself:

What if I could build a tool that makes use of those quotes automatic? What if I could turn unstructured praise into a marketing asset?


The Build Stack (AKA, "Let AI Build the AI Tool")

The stack came together surprisingly fast thanks to AI-native tools:

  • Frontend: Next.js (generated mostly using V0.dev)
  • Backend: FastAPI (Python)
  • AI Engine: Gemini (for theme extraction, quote curation, sentiment tagging)
  • Development flow: Cursor was a huge accelerator

Within 3 days, I had it out the door, deployed and live.

This build felt like a new way of working — idea to product in days, not months.


Thought Process Behind the Product

I used this framework to keep the scope focused:

  • Problem: Businesses are sitting on testimonials they don't use.
  • Promise: We'll turn them into clean, usable insights with no extra work.
  • Outcome: Beautiful, AI-generated reports you can drop into a pitch deck, landing page, or email campaign.

What I didn't want was another "chat with your data" tool. I wanted opinionated UX, built for a single use case with clarity and polish.


Why Micro-SaaS is More Viable Than Ever

This project reminded me how doable small SaaS ideas are now. Thanks to AI coding tools, you can:

  • Build fast (with quality)
  • Design with AI (V0, AI UI agents)
  • Iterate quickly
  • Solve a real problem for a specific audience

It's a far cry from the old days of needing a team, weeks of scoping, or raising capital just to test a hypothesis.

The new MVP is something that works, solves a problem, and looks good enough to sell itself — all in under a week.


What's Next

  • Adding a quote-to-image feature for easy social sharing
  • Building integrations (Shopify, Google Reviews)
  • Launching on Product Hunt
  • Talking to marketers, agencies, and indie founders to improve usability

Try It & Give Feedback

If you've got testimonials sitting in a spreadsheet somewhere, give TestimonialGenius.com a spin.

I'd love feedback — good, bad, or brutally honest. Let's keep building cool things, faster than ever.