Today, data is abundant, but for the most part, unusable. Seventy percent of a data scientist’s job is just cleansing data. The modern software architecture encourages data to be hoarded only accessible through proprietary APIs. And, even with proprietary APIs the market for data integrations is expected to grow to a trillion dollars by the end of the decade. When humanity is spending the GDP of Indonesia just so that the data in System X can work with the data in System Y, the field of software engineering has failed us. So much data - data that could be used by new startups and nonprofits that couldn’t exist today - goes unused because it’s so difficult to access.