Professor Michael Snyder and the Snyder Lab at Stanford University have launched a citizen science initiative to construct a crowdsourced, evidence-based supplement database: MySuppleHub.
This non-commercial, altruistic project aims to aggregate clinical science and user experiences to help consumers make data-driven decisions and to lay the groundwork for future robust human clinical trials.
The Problem vs. The Solution
- The Problem: Current supplement information is highly fragmented across podcasts, marketing websites, and social media. This dispersal makes separating genuine scientific data from commercial hype exceptionally difficult and time-consuming.
- The Solution: A living, centralized database where researchers and consumers can analyze what peer-reviewed science says alongside empirical data collected from thousands of individual users.
Primary Research Objectives
The initiative seeks to aggregate data to answer outstanding questions regarding specific compounds, including:
- Advanced Longevity & Metabolic Compounds: Assessing the impact of 5-amino-1MQ on energy metabolism in aging humans, and evaluating “melatonin-maxxing” protocols.
- Sleep Architecture: Measuring the efficacy of pinealon in optimizing REM sleep.
- Synergistic Combinations: Investigating whether a tadalafil and taurine stack measurably boosts cardiovascular health or athletic performance.
- Autoimmune Support: Identifying specific compounds capable of modulating autoimmune diseases.
- Baseline Nutrition: Gathering widespread data on foundational supplements such as creatine, magnesium, vitamin D, fish oil, and berberine.
How to Participate
The validity of this database relies entirely on crowd-sourced user contributions. If you currently take or have previously taken any supplements, you can contribute to the project.
- Log Data: Visit MySuppleHub to input the specific supplements you have taken and share your individual outcomes and experiences. The process takes a few minutes.
- Amplify: Share the project within scientific and longevity communities to increase the sample size.