Own Your Health

Can we improve the quality of life with an app that tracks health and offers insights for early detection, prevention, and beating illnesses?

This is a project to try and find out—SupaHealth. The aim is to build a personal health advisor powered by AI. An app that's open source, cheap, and can't die.

How it Works

Sync data from your Apple Watch, Garmin, continuous glucose monitor and other trackers, add your medical records, and define your health goals. Then chat about your health and ask for advice. The app will try to keep you on the right track by sending you questions and reminders.

but tailored for health improvements, with access to your health history and proactive in making sure you're on track with your health goals.

The App Can't Die

Most apps die as soon as their companies close or change directions. Making an app open source, with data that can be stored in files and having a simple architecture will ensure that .

Open Source

This means that the code is available under a . So anyone can use the app for free, make a spin-off of the app or audit the code. Open source is the key for longevity of the app.

Owning Your Data

Maintaining data in a clear, open format with the ability to store the data as files helps preserve it and prevents user lock-ins within services that host the app, enabling users to move their data freely from one service to another, keeping their health records for as long as they want.

Simple

Both simple to use and simple to support and develop for. Simple to use is important on its own, but paired with simple architecture (how the app is built and operated) it means that it's easier to modify the app, contribute, and create spin-offs.

More Useful with Time

As people collect more data about their health, long-term trends, and other health history—the app becomes more useful. That is why it's important to keep the app open source, everlasting and make sure the data is owned by users.

Extendable

Medicine is huge. There are lots of different opinions and practices on how to support health and treat illness. SupaHealth has to be flexible for people to choose the ways they believe in and allow them to experiment.

If built by Apple, it would be limited and inflexible, with algorithms and protocols hidden from the public community. This is where open source shines as well. It allows people with different backgrounds and opinions to contribute. The best solutions will surface over time to be adopted by the majority.

Health Templates

Have the ability to connect to different repositories of instructions and protocols for health management. Those repositories could be created or mixed by anyone and easily activated within the app. For example, a template could be based on , or .

Medics + Techies

The project is only possible with the right collaboration between techies and medics. The medical advice that the app gives must be backed by medical professionals and research.

When?

If you like the promise and want to try the first versions of the app or give feedback—especially if you're from the medical field—please leave your email. The project is part of a larger project—SupaCloud.

The role of AI here is to reason about the data and provide insights. The AI (primarily LLMs) may execute SQL queries on structured data from trackers, access previous conversations, and health history. Additionally, the AI can utilize repositories with health protocols and instructions to offer advice based on studies and best practices.

First, it needs to reach an escape velocity, meaning it must have enough users who care about the app. If the current contributors or the company behind start degrading and do a poor job maintaining and improving the app, others may pick up the torch and create a spin-off using the same code and data.

The MIT License

Brian Johnson is the founder of Kernel, a company that is building advanced neural interfaces to treat disease and dysfunction, illuminate the mechanisms of intelligence, and extend cognition.

See Blueprint.

Andrew Huberman is a neuroscientist and tenured professor in the Department of Neurobiology at the Stanford University School of Medicine.

See Huberman Lab.

Peter Attia is a physician focusing on the applied science of longevity, the extension of human life and the quality of life.

See Longevity Tactics.