GlucoseDAO is a healthtech initiative building open-source tools that help people understand and predict glucose dynamics, with a focus on reducing uncertainty in daily decision-making.
The idea grew from lived type 1 diabetes experience and continuous glucose monitoring observations during the pandemic. The team expanded around a shared mission: combine scientific rigor, machine learning, and usable product design to support both people with diabetes and broader metabolic health use cases.
Key components include the Sugar-Sugar Game — a browser-based tool where participants predict blood glucose trajectories from real CGM data — an open-source data standardization pipeline, and transformer-based model benchmarking for glucose prediction.
GlucoseDAO operates in collaboration with Universitätsmedizin Rostock (IBIMA), with ethics clearance for a formal human-vs-AI benchmarking study.
Read the full startup story: https://rubikhub.ro/startup-story-glucosedao-rubik-garage-healthtech-edition/
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