
SYS.BLOG
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.
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.