SingleArm helps people learn from real-world health experiences by tracking change over time — responsibly and transparently -- either by yourself, or with a cohort. It is an AI-powered, structured self-experimentation platform that helps you measure how lifestyle changes affect you—not population averages, while embracing contextual density of confounders that would otherwise derail a traditional clinical trial. And it comes with a built-in digital cloning tool, so you can A/B test yourself.
Hey Product Hunt 👋
My wife and I built SingleArm because we were frustrated with how much health advice is based on averages. If 1,000 people benefit from a habit change or a supplement, that doesn’t mean I will. So we built a way to create a structured baseline of yourself to measure cause-and-effect in your own life. We’d love feedback on:
What experiment would you run first?
What cohorts would you create or join?
Where does this feel confusing or overbuilt?
Happy to answer anything about how we think about self-experimentation, digital twins, or the philosophy behind it.
Thanks for checking it out!
- Graham
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