Your health journey, tracked.

Cycle length and flow patterns are clinical data. Spotting an irregular pattern early, whether cycles are shortening, lengthening, or your flow is changing, gives your doctor something specific to work with rather than a vague 'it's been off'.

Pain location, intensity, and timing (mid-cycle vs period vs random) matter diagnostically. Pelvic pain that arrives cyclically reads differently to a doctor than pain that's always there.

Mood shifts that track with your cycle, premenstrual low, mid-cycle lift, are a recognised hormonal pattern, not a character trait. Logging over weeks shows the pattern rather than one bad day.

Sleep disruption and fertility are connected through cortisol and melatonin. Logging sleep alongside your cycle can surface a pattern worth raising, particularly if poor sleep clusters around specific cycle phases.

What you take and when matters for interpreting blood results. Vitamin D and B12 levels read differently depending on whether you've been supplementing. A log removes the guesswork when your doctor asks.

Bloating, fatigue, acne, and hair changes are non-specific individually. Logged together over weeks, they often point toward a hormonal or metabolic pattern that makes sense in clinic, and that's harder to communicate without the log.

Free text is where the context goes: the thing you want to mention but might forget, or the stressful week that explains the rest of the data. It stays private and never leaves the app.

A space to log practice alongside biomedical metrics. Cultural context, not medical advice.

Logging traditional foods alongside biomedical metrics. Cultural context, not medical advice.

Logging fasting days alongside biomedical metrics. Cultural context, not medical advice.

A space to log herbs alongside biomedical metrics. Cultural context, not medical advice. Always tell your doctor what you take.

Exercise type and timing affect hormones. Low exercise correlates with certain cycle irregularities; intense training in the luteal phase can lengthen cycles. Logging gives you and your doctor something to connect the dots with.

Semen-analysis numbers shift between samples. Logging each result with a date gives you and your doctor a trend to read, not a single snapshot, particularly important if you're tracking the effect of lifestyle changes or treatment.

Tracking sample dates and result dates separately makes it easy to see how long results took and to space repeat tests at the WHO-recommended interval (often 2–3 months apart).

Sustained scrotal heat, saunas, long drives, laptops on lap, can transiently lower sperm count and motility. The effect is reversible but worth tracking when you're trying to interpret SA trends.

Heavy or sustained alcohol intake affects testosterone, sperm count, and morphology. Logging units alongside SA results helps you and your doctor see whether reduction has shifted the numbers.