The Quantified Self, the process of measuring, logging and usually sharing metrics related to your health and fitness over a period of time, in most cases, by using one or more sensing devices. Aiming for behavioural change like staying fit or losing weight. Other use cases include tracking blood sugar levels, pulse or heart rate blurring the boundaries between recreational fitness and healthcare. Once data has been collected, transmitted, and processed, it can be brought into a Sensor data platform (also called "Sensor Web") for making applications from real-time data sources, either directly or via API. This forms a new category of web service to integrate data flows from different IOT quantified sensor devices, web services, and social networking activity. The resulting paradigm, named Social Internet of Things (SIoT), has great potential to support novel applications for Human and Machine to Machine (M2M) Connectivity. This session provides an overview of popular data platforms, APIs, fitness and IoT Communities plus a live demo of selected devices by the audience.