@zain Hi all! I'm Noah, the other co-founder of Eureka. 👋 After seeing firsthand family and friends struggle with chronic disease, it became obvious that there's a huge need, and a huge opportunity. Modern medicine has few answers and no cures for many of these diseases (especially Long Covid). On the other hand, patients know a lot. They're reading research papers, they're trying things, they're self-organizing, and in some cases they're even able to figure out how to get better on their own. But they're using Twitter, Slack, and Reddit, and don't have the tools to really start generating new research-grade knowledge. We're here to arm the rebels. We have two simple goals 1. 💪 Make it easier to help yourself get better. Easily learn what treatments are working on people with similar symptoms as you, with more data on what works than you can find in even the best studies. Then, use the most powerful tools for self-experimentation available so you can see what works for you. 2. 🎁 Make it easy to give back. Every time someone tries a new protocol, it's an opportunity for everyone to learn, but everyone's currently operating in isolation. Everyone wants to help the community, but it's hard to plug in to the larger system and contribute. Today's launch is a big moment for us. The Eureka Hub, with the Eureka App, make it dramatically easier for people to feel better. We're starting small, but we can't wait to see how the community responds, and as people add their data, it only gets better from here. Long Covid is a true crisis, a mass-disabling event that's impacting millions but flying under the radar because people are tired of talking about Covid. Millions are out of work and housebound, many of whom were young, healthy and active beforehand. We hope to play a role helping spread the great knowledge already within the community, and accelerating the discovery of badly needed cures. Thanks for reading, excited to hear what you think! 💜

@zain @kallefreese it's a great question. I think there are a few components to it * Be hypothesis-driven: try to track a small-ish number of things that you expect to have a real impact * Make it really easy: even small amounts of friction really add up * Give back value as much as possible on the way: there are so many potential insights from wearable + self-reported data, and we keep you engaged by dripping new insights and results every few days It's surprising, but if something really has a big impact, it can show up in the data in the first 4-7 days of usage. It's really nice having the analysis automated, too - in my past personal tracking projects "fire up the jupyter notebook and look at the data" was always on my backlog and I almost never did it