Finding early traction and validating app ideas usually feels like a guessing game. Most makers rely on broad category trends or gut feelings, which is incredibly risky. The App Store Top Charts are a trap by the time an app is there, you're already too late to the trend.
We realized the key is analyzing micro-signals across millions of data points, but doing that manually takes forever.
So, alongside tracking 2.2 million apps, we just rolled out our MCP (Model Context Protocol) integration. You can now plug AppGazers directly into Claude, ChatGPT, Cursor or Windsurf.
Hey Product Hunt! 🚀
There is nothing worse than spending months coding an app, launching it to crickets and realizing absolutely nobody is searching for it.
The problem we set out to solve with AppGazers was simple: solo builders waste too much time building apps nobody wants to pay for. We wanted to turn App Store and Play Store data into an unfair advantage for indie hackers.
With AppGazers, you can:
•Reverse-engineer apps that are quietly making massive MRR.
•Track millions of apps and ads to find your perfect, low-competition niche.
•Skip the guesswork and build with data-driven conviction.
Our biggest breakthrough during the build:
We wanted to make market research zero-friction. So, we built it so you can plug your AI agents right into our data. Connecting market research data directly to AI agents through MCP makes this incredibly seamless. Being able to ask ChatGPT or Claude questions in plain English instead of manually crunching data is a huge step toward frictionless research. 🚀
We built this for the makers who want to build profitable apps, faster.
No paywalls, no credit cards.
I'd love your brutal feedback on the platform. What data point is most crucial for you before you start coding? Let’s chat in the comments! 💬