Crowdsourced Mental Health Research
Depression, anxiety, trauma, addiction — these things are deeply individual, but also deeply patterned. With enough data from enough people, we can find those patterns, identify subtypes, and eventually recommend things that actually help.
The catch: it only works if people share. So we've tried to build something where sharing feels worth it — answer questions about yourself, see how you compare.
This project started with a simple question: can you get strangers on the internet to share personal data about their mental health — without paying them, without a clinical setting, without an institution behind you?
Turns out: yes. With the right approach. We recruited participants through grassroots marketing — stickers, flyers, QR codes — and built a survey experience that gives something back. The data is real, the ML is real, and the findings are getting interesting.