  Since its launching, Pok{\'e}mon Go has been pointed as the largest gaming
phenomenon of the smartphone age. As the game requires the user to walk in the
real world to see and capture Pok{\'e}mons, a new wave of crowdsourcing apps
have emerged to allow users to collaborate with each other, sharing where and
when Pok{\'e}mons were found. In this paper we characterize one of such
initiatives, called PokeCrew. Our analyses uncover a set of aspects of user
behavior and system usage in such emerging crowdsourcing task, helping unveil
some problems and benefits. We hope our effort can inspire the design of new
crowdsourcing systems.
