We track more about ourselves than ever before. What we eat. How we sleep. How we move. How we feel. Yet we’re still left trying to understand what it all means.
Because the most meaningful insights are often the ones no single measurement can show you.
Most apps look at a single health metric at a time, but the insight lives between the data points. We look across your health to find what changes together over time.
Your sugar intake climbs in the week before your period.
Short nights push it up too, wherever you are in your cycle — about 12 g more than an ordinary day. And your short nights collect in that same week.
Not to tell you how a woman’s body should behave.
To help you understand how yours does.
Most health apps are very good at collecting information. Calories consumed. Period predicted. Hours slept. Steps taken. But the interesting questions live between those numbers.
Patterns looks across what you track over time to find recurring relationships — and shows you the data behind them, so you can decide whether one means anything.
Your fiber intake has fallen below your target in the week before each of your last three periods.
Your weight rises about 2 lb in the five days before your period and returns to baseline within three days of it starting.
Your lowest mood entries cluster on late luteal days that followed a night under seven hours.
The best health tracker in the world isn’t useful if you stop using it. Patterns was designed to make logging feel natural. Search or scan when that’s easiest. Journal when you want to write. Or just talk to Archie.
Archie asks what he needs to know and organizes the rest. Less time logging. More to learn from.
Female health isn’t a niche setting added to a general-purpose tracker. Cycle, age and life stage can change the context around nutrition, symptoms, mood, sleep and health. Patterns was designed with that context present from the beginning.
That doesn’t mean assuming every woman experiences the same thing.
Quite the opposite. The point is to learn what’s true for you.

Since I was 17, I had experienced severe breast swelling and tenderness around my period. Years later came two or three days each month when my mood dropped, my thinking became cloudy and I felt unlike myself.
I tried to understand it the way most of us do: I journaled, tracked, searched and started cross-referencing dates against my cycle. It was an enormous amount of work — made harder by the fact that the days I most needed to observe clearly were the days I was least able to.
My dad saw the pattern before I did. We talk every day, and when my mood changed, he’d ask if my period was coming. It annoyed me. But he was right.
That observation ultimately helped lead me to PMDD — and to the idea behind Patterns. Sometimes we need something outside of ourselves to notice what keeps happening.
A doctor, friend or family member can’t watch every meal, symptom, night of sleep, workout, mood and cycle. But technology can help us make sense of the information we’re already collecting.
I built Patterns to be that second set of eyes — not to tell women what’s wrong with them, but to help us see our own health more clearly.
Premenstrual dysphoric disorder is a real, diagnosable condition affecting an estimated 3–8% of women. Breast tenderness and swelling is among its somatic criteria in the DSM‑5. PMDD was not added to the DSM‑5 until 2013, and the World Health Organization did not list it in the ICD‑11 until 2019.
Patterns is not a treatment for PMDD or for anything else, and nothing in it is a diagnosis. If this sounds like your life, it is worth raising with a doctor.
Patterns pays attention to the things you track, so you can start seeing the bigger picture.