Back in early 2026, I was preparing a new trial that required collecting weeks of sleep diary data from shift workers. At the time, I was looking for a digital sleep diary that was flexible enough for research, but most options were either too inflexible or too expensive. After a while, it felt like it might be more straightforward to build something myself. In fact, this had been on my mind since my PhD, but I did not have the skills at the time.
As AI coding became more accessible, I began experimenting and gradually developed two tools: CircadiaLog and CircadiaStats, which I later brought together under CircadiaLab. As you might have guessed, Circadia reflects the focus on circadian rhythms, and I dropped the n simply because it sounds better.
My design philosophy was straightforward. I wanted to create something that feels like it was built by a researcher, for researchers. Hopefully, it is useful for people working in the field of sleep and circadian science.
Data Collection & Study Management
Run the full lifecycle of a sleep study on a single platform, from consenting participants through to structured data export. CircadiaLog is a web-based application (with native iOS and Android coming soon) that gives research groups a flexible environment for running complex protocols without compromising participant privacy.
Transparent Data Processing
Automate the repetitive overhead of cleaning circadian datasets without losing control. CircadiaStats provides a transparent pipeline for processing raw data, ensuring your workflow is reproducible while keeping the data exactly where it belongs: in your hands.
CircadiaLog is currently available to research groups by arrangement, and CircadiaStats is free to use in your browser without an account. Full details for both live on CircadiaLab. Feel free to reach out if you have any comments or suggestions, or if you just want to talk about them.