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Everybody

Everybody™ is a wellness app that decodes users’ biology and hormone profiles to deliver personalized health recommendations. By analyzing data from at‑home test kits and connected wearables, the platform offers tailored guidance on nutrition, sleep, stress management, and fitness. The service aims to help individuals understand their unique physiological signals and make data‑driven lifestyle choices.

Updated 22 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Many individuals lack accessible tools to interpret their biometric and hormonal data, making it difficult to understand how these factors influence daily health and lifestyle choices.

Solution

Everybody™ offers a mobile-based wellness platform that aggregates users’ biometric measurements and hormone profiles to generate personalized health insights. The app connects with wearable devices and at-home testing kits to collect data such as heart rate, sleep patterns, and hormone levels. Advanced analytics translate raw metrics into actionable recommendations on nutrition, exercise, stress management, and sleep hygiene. Users receive visual dashboards that highlight trends, potential imbalances, and suggested adjustments, enabling them to make informed decisions to improve overall well‑being.

Target Audience

Primary users are health‑conscious adults who track fitness or medical metrics and seek data‑driven guidance to optimize their lifestyle and hormonal health.

Features

  • Integration with popular wearables and lab‑tested hormone panels for automated data collection
  • AI‑driven analysis that correlates biometric trends with hormonal fluctuations
  • Personalized daily and weekly recommendations for diet, activity, and recovery
  • Interactive dashboards displaying real‑time trends, alerts for out‑of‑range values, and progress tracking
  • Secure cloud storage with end‑to‑end encryption to protect sensitive health data
This profile is AI-generated and may contain inaccuracies.