cnb.cx/3y8NJPZ $DAG 1. "Apple (for Maps), Uber, Snapchat, Spotify and Coca-Cola are among the many digital and consumer brands that rely on Foursquare for location services technology, and anonymized and aggregated datasets."
2. "More than 125,000 developers worldwide embedding it in their own software, & with 14 billion-plus human-verified “check-ins,” Foursquare is the underlying location engine that powers a myriad of brands, such as Twitter, Snapchat, Uber, Spotify, Airbnb, Coca-Cola, and JetBlue"
3. "Location based data is probably the most sensitive PII [personally identifiable information] in the ecosystem — where people move, where phones move, and the correlation of that. From the very beginning, we’ve built our systems first to be opt-in,” Little said."
4. "Its datasets are anonymized and aggregated. “We’re investing a lot in those capabilities because we see that as a big opportunity, a big unlock to continue to do location in a privacy forward [way], at the center of our design,” he said.
5. "Even if you aren’t aware of it, you probably use Foursquare every single day — or at least its technology."
@wyatt_noise explains the notion of cell complexes in @Conste11ation's network topology which enables user defined complex data types & consensus. This is an entirely novel approach to horizontal scalability that can be described as "Database Cellularization" which is 1/10
different than the typical database sharding approach to scale. $DAG's functional reactive programming (FRP) approach encodes the entire topology of a data transformation pipeline into type classes which are geometric representations of referential data. 2/10
The logic embedded within the typeclass defines how to proceed with the next level of the data dependency graph. Verification occurs by the creation of a non-linear API call graph across networks, and the formation of a graph of cryptographic signatures across the result 3/10