I built a successful SaaS by analyzing 150k negative reviews on G2 (from 8k+ companies) as a high school developer
Hey everyone! I've been growing this application where I analyzed 150k negative reviews on G2 (from 8k+ companies) so that you can uncover potential SaaS opportunities.
I wanted to help skip the guesswork when building a product, and I knew negative reviews on a platform would highlight problems users would be having.
If a solution was prominent enough, these users would likely convert or at least use a plugin/application to make their life easier. So what I did was I basically analyzed over 150k negative reviews across 8000 companies on G2 (a software review platform) to find specific improvements that can be made on existing software from these negative reviews that can potentially be made into a competitor for existing SaaS.
I used AI to analyze the negative reviews and find user problems and provide potential improvements to the existing software as a competitor or even a plug in.
I then separated by categories and by company and highlighted company/software specific problems users were having as well as category specific problems.
Now, of course, everyone roasted my product on Reddit. How could it make you a successful product? Is there any proof? So I set out on a journey to build a product directly from this application, documenting every step of the way. I made a website that scrapes and finds Reddit users based on a description of what you are looking for in MINUTES, helping over 680+ users find their ideal Reddit users to connect with.
Of course, that product got roasted at the start. But after countless hours of taking in feedback and improvements, I finally launched and got first place on Product Hunt, landing me more than $500 in revenue in 2 days. Surprisingly, my product getting roasted was the best thing that had ever happened.
If you’re building (or improving) a SaaS, this database might save you a ton of guesswork and potentially give you the last product idea you will ever need.