AI & Machine Learning

The Dashboard Was There But I Didn't Know What to Do, So I Let AI Handle It

Ali Nemati6 hours ago1m & 4 s read4 views0 listens

The integration of Claude (an AI) into the development process of Apsity has led to a highly automated and insightful system designed specifically for app developers looking to optimize their apps' performance in the App Store or Google Play Store. Here's an overview of what was accomplished:

Dashboard Insights with Confidence Badges: The dashboard provides detailed insights about each app, including download trends, revenue anomalies, keyword optimization suggestions, competitor metadata changes, and more. Each insight is accompanied by a confidence badge indicating its reliability (e.g., Correlation, Suggestion).
Adaptive Growth Stage Mode:
- SEED Stage: For newly launched apps with less than 30 days of downloads or under 500 cumulative downloads, the focus is on initial setup tasks like keyword auto-generation and app name suggestions.
- GROWING Stage: Once an app has a rising or stable download trend, it moves to this stage where rank drop diagnosis, hidden market discovery, and competitor change detection are activated.
- STABLE Stage: For apps with over 3 months of accumulated data, revenue anomaly detection, review keyword analysis, and long-term trend pattern analysis become active.
**Competitor Change Detection

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