MenstrualMetrics: Period Prediction Accuracy Tracker
AI-powered app that learns from a user's actual cycle data to predict periods with 95%+ accuracy and identifies hormonal pattern anomalies.
The Problem
Existing period tracking apps use generic algorithmic models that ignore individual variance—most users report 40-60% prediction accuracy. Women with irregular cycles, PCOS, or on hormonal treatments get near-useless predictions. There's no app that learns YOUR specific cycle patterns and flags when something looks medically unusual.
Target Audience
Women aged 18-45 with irregular cycles, PCOS, endometriosis, or those trying to conceive who need reliable personal cycle intelligence (not generic calendars).
Why Now?
AI tooling makes building personalized pattern recognition trivial; Lovable/Cursor can scaffold the entire data pipeline in days. Women are increasingly skeptical of generic health apps post-Roe and seeking tools that actually work.
What's Missing
Period apps are built by teams optimizing for engagement/ads, not prediction accuracy. None have inverted the problem: learn FROM user data rather than imposing a model ON users.
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