Inspiration
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
Inspiration
As an indie developer, I often need to track app store trends, competitor releases, and market signals across different apps. Existing tools are either too heavy, too expensive, or not focused enough on fast daily product decisions. CatchRadar was built to make app intelligence easier to access from a simple desktop client.
What it does
CatchRadar is a cross-platform desktop app intelligence tracker. It helps developers monitor app store signals, view tracked apps, and organize market information in one clean interface. The app connects to a remote backend API and is designed for developers who want quick insights while building, publishing, and improving apps.
For OpenAI Build Week, the project can be extended into an AI-powered app store intelligence assistant: summarizing competitor changes, explaining market movements, generating ASO ideas, and helping developers decide what to build next.
How we built it
The desktop client is built with Python, PySide6, and QML. It supports macOS, Windows, and Linux, and connects to a remote Go backend API. The project also includes packaging workflows for macOS and Windows releases.
Challenges
The main challenges were building a clean desktop experience, keeping the app easy to package across platforms, and designing an update flow that lets users receive lightweight code updates without reinstalling the full app.
What I learned
I learned how to structure a desktop app around a remote data service, package it for multiple platforms, and design an update mechanism that keeps user data safe across versions.
What's next
Next, I plan to add OpenAI-powered features such as competitor summaries, trend explanations, app idea generation, ASO suggestions, and natural-language search across tracked app intelligence.
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