This Wearable Tracks the Female Cycle in Real Time

Why It Matters

Continuous hormone visibility gives women actionable insights to optimize health, performance and fertility, challenging a decades‑old reliance on infrequent lab tests.

Key Takeaways

• CLA offers continuous hormone monitoring via a jewelry‑inspired wrist wearable.
• Real‑time data reveals hourly hormone fluctuations missed by annual tests.
• Users receive predictive scores and personalized nutrition/hydration recommendations.
• Design balances aesthetic appeal with sensor integration and three‑day battery life.
• Platform aims to empower women across life stages, from fertility to menopause.

Summary

The podcast introduces CLA, a wrist‑worn device that continuously tracks estrogen, progesterone and related biomarkers, turning a piece of jewelry into a real‑time hormone monitor. By leveraging skin temperature, heart‑rate variability, sleep and stress signals, the system infers hormone trajectories without blood draws or urine strips, offering women a full‑spectrum view of their endocrine health. Key insights include the discovery that hormones can fluctuate hourly, especially during perimenopause, and that continuous monitoring surfaces patterns in energy, mood, skin health and perceived exertion that single‑point tests miss. The app translates these trends into predictive scores—showing whether a user’s rate of perceived exertion will rise tomorrow—and delivers actionable nutrition and hydration guidance. Notable examples feature an athlete who can adjust training intensity ahead of a luteal‑phase dip, and a woman navigating fertility who can spot progesterone defects or PCOS‑related LH surges. The founders stress that the device’s jewelry‑inspired design, biocompatible materials and three‑day battery life were chosen to ensure daily wearability, reflecting feedback from female users throughout development. The broader implication is the creation of a new category in women’s health: continuous, consumer‑grade hormone intelligence that empowers users to make data‑driven decisions across the lifespan, potentially reshaping clinical practice and the wearable market.

Original Description

Hosts:

Phil Newman: https://qrco.de/bgXpNY

Nina Patrick: ⁠⁠https://qrco.de/bgXpKn

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Guests:

Jenny Duan

Co-Founder and CEO of Clair Health

LinkedIn: https://www.linkedin.com/in/jennysduan/

Website: https://wearclair.com/

Abhinav Agarwal

Co-Founder and CTO of Clair Health

LinkedIn: https://www.linkedin.com/in/agarwalaabhinav/

Website: https://wearclair.com/

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What if women’s hormones were tracked like heart rate, continuously and contextually, not through annual snapshots?

Phil Newman and Dr. Nina Patrick sit down with Jenny Duan, CEO of Clair, and Abhinav Argawal, CTO, to explore how a jewelry-inspired wrist wearable uses multi-sensor biosignals to infer estrogen and progesterone in real time across daily life.

They explain how signals such as skin temperature, HRV, sweat response, intracellular and extracellular current shifts, and more than 100 derived biomarkers are combined through sensor fusion to model hormone trajectories that update throughout the day. From forecasting an athlete’s rate of perceived exertion days before training to identifying progesterone patterns associated with PCOS and endometriosis risk, these examples show what continuous data reveals that snapshot testing cannot. The discussion also uncovers how this level of visibility allows the female cycle to be understood as nine distinct sub-phases rather than the traditional four.

They also discuss how lifestyle context, such as sleep, hydration, stress, and schedule, is integrated into the model to avoid contradictions between device feedback and lived experience. Early beta studies across PCOS, endometriosis, and perimenopause cohorts are already informing how this data can support fertility planning and symptom awareness.

In this episode, you’ll learn:

- Why the female cycle can be divided into nine hormone sub-phases

- How 230 biomarkers are refined into 100 inputs for hormone modeling

- How athletes can adjust hydration and nutrition before exertion spikes

- How progesterone trends may signal risk patterns for PCOS and endometriosis

- Why fertility and perimenopause represent 60% of early pre-orders

If you want to understand how continuous hormone visibility reshapes female health decisions across life stages, this episode connects biosensing, AI modeling, and practical insights for longevity.

Subscribe for weekly episodes that explore longevity science, preventative medicine, and the systems shaping how we live longer and better.

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Timestamps:

00:00:03 - Future of Hormones

00:01:03 - Why Claire Started

00:01:32 - Hormones As Operating System

00:02:24 - Beyond Snapshot Testing

00:03:24 - Fertility To Menopause

00:04:20 - Training Around Hormones

00:05:34 - Inside The App

00:06:28 - Designing For Women

00:08:20 - Sensors vs Elegance

00:10:02 - Softness As Power

00:12:03 - How Claire Predicts Hormones

00:14:40 - Lifestyle Context Matters

00:16:39 - Women Have 9 Phases

00:18:59 - Fertility Drives Demand

00:26:32 - Ending Hormone Confusion