The University of Hawaii has used Hackystat in its undergraduate and graduate software engineering courses. The students installed sensors and carry out software projects, using Hackystat to provide empirical data concerning their product and process.

The University of Torino has used Hackystat as experimental infrastructure to support its research on test-driven development. In this research, Hackystat was used to record data useful for assessing differences between TDD and non-TDD.

The University of Maryland, the University of Hawaii, and Sun Microsystems have all used Hackystat to support research into high performance computing system application productivity. In this research, Hackystat has been used to develop specialized sensors to gain insight into the productivity bottlenecks encountered in current HPCS development, and to assess the merits of future innovations.

The Jet Propulsion Lab has used Hackystat as part of research on highly dependable computing systems. In this research, Hackystat has been used to assess the build process of the Mission Data System, and to discover ways in which this data can be used to assess and improve dependability.