This document outlines how to build a successful tech startup using open data. It recommends starting with a minimum viable product (MVP) by building a prototype using a wireframing tool. The MVP should then be tested by experimenting, measuring, and analyzing to find market fit before scaling up. An example of this process is given of a demand tracking platform that used open data from Fusion Tables for processing and visualizations to continuously analyze data and develop a data culture. The document concludes by discussing future opportunities with new emerging private and government open data sources and the importance of sharing data through APIs.