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Ooma

Ooma provides a 7‑day hormone forecast that predicts focus, energy, pain risk, and mood changes for women dealing with perimenopause, fibroids, endometriosis, or PCOS. The app delivers daily, offline‑first recommendations to help users schedule work, exercise, and self‑care around these hormonal fluctuations, with all data stored locally on the device.

Sunnyvale, United StatesFounded 200365020K+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Women experiencing perimenopause, fibroids, endometriosis, or PCOS often lack tools that translate hormonal fluctuations into actionable daily guidance, leading to unexpected drops in focus, energy crashes, pain episodes, and mood swings.

Solution

Ooma offers a 7‑day hormone forecast that interprets a user’s current position in her hormonal cycle and predicts upcoming days of high focus, low energy, and potential discomfort. The app delivers concise, daily recommendations to help users plan work, exercise, and self‑care activities around these fluctuations. All calculations are performed locally on the device, ensuring that personal health data never leaves the phone and eliminating the need for accounts or cloud syncing.

Target Audience

Primary users are women managing perimenopause, fibroids, endometriosis, or PCOS who want a privacy‑preserving tool to anticipate and plan for hormonal effects on daily life.

Features

  • 7‑day forward forecast highlighting days of sharp focus, energy dips, pain risk, and mood variability
  • Actionable daily tips tailored to the predicted hormonal state (e.g., productivity strategies, self‑care suggestions)
  • Offline‑first design with all data stored locally; no account creation or cloud storage required
  • Simple, non‑tracking interface focused on planning rather than period or fertility monitoring
  • Support for specific conditions: perimenopause, fibroids, endometriosis, and PCOS
This profile is AI-generated and may contain inaccuracies.