AI cycle tracker built for PCOS patterns
Cyra PCOS is an AI-powered cycle and symptom tracker designed specifically for people with PCOS and irregular periods. Unlike generic period apps, this AI PCOS tracker does not assume a standard 28-day cycle. Instead, it adapts to your unique patterns, capturing symptoms, meals, sleep, exercise, and medications daily. The core value lies in its ability to analyze PCOS-specific signals, such as insulin resistance trends, and deliver actionable weekly insights. This product belongs to the health tracking category and is built for those who need a smarter, more personalized approach to understanding their PCOS.
Standard period trackers often fail people with PCOS because they assume a predictable, 28-day cycle. This assumption leads to inaccurate forecasts and missed symptom correlations, causing confusion and frustration. Cyra solves this problem by leveraging AI to adapt to irregular cycles and analyze PCOS-specific data. Users no longer have to struggle with apps that don't understand their unique biology. Instead, they get a tool that accurately reflects their body's patterns, reducing uncertainty and enabling better self-care. This matters because accurate tracking is the foundation for symptom management, fertility awareness, and effective communication with clinicians.
A standout feature of Cyra is its cycle forecasting tuned for irregular periods. Unlike traditional apps that predict ovulation based on a fixed cycle length, Cyra uses AI to analyze your past cycle data and adjust predictions dynamically. It recognizes that PCOS cycles can vary from 21 to 60 days or more, and it updates forecasts as new data is logged. This feature is crucial for understanding when your next period might arrive and for planning pregnancy or symptom management. By providing realistic predictions, Cyra reduces the anxiety of unpredictability and helps users feel more in control of their health.
Daily logging in Cyra covers symptoms, meals, sleep, exercise, and medications. This comprehensive approach ensures that no potential pattern is overlooked. Logging is quick and intuitive, allowing users to capture symptoms like cramps, fatigue, mood swings, and acne in seconds. Meals and exercise entries provide context for how lifestyle factors affect PCOS symptoms. Sleep data integrates from Apple Health to track rest quality. Over time, this rich dataset feeds into Cyra's AI engine, which identifies correlations most users would miss. The benefit is a holistic view of health that empowers users to make informed decisions about diet, activity, and treatment.
Premium users unlock Claude AI weekly pattern reports and chat. After each week of logging, Claude analyzes insulin resistance signals, symptom trends, and lifestyle data to generate a plain-language report. These reports highlight what's working, what's changing, and what might need attention. Users can also chat with Claude to ask questions about their data, such as, "Does my meal timing affect fatigue?" Additionally, the insights dashboard includes PDF export for clinicians, enabling users to bring a clean, AI-generated summary to doctor appointments. This feature bridges the gap between personal tracking and professional medical care.
Publisher
A
admin
Launch Date2026-06-15
Pricingfree
Domain Authority
Ahrefs DR0/100
Traffic Insights
Month2026-05
Estimated Visits686
MoM Visits GrowthN/A(+686)
Avg Time on Site0s
MoM Time GrowthN/A
Bounce Rate