In these days and age, Online Social Networks (OSNs) are common ways to keep us in touch with relatives, friends and colleagues. As a result, we are used to share many personal information and opinions in these platforms. However, this might be dangerous for certain types of users, specially the underage ones. For that reason, the present work introduces a preliminary version of a web tool that, on the basis of the posts shared by a user in Twitter, infers and extracts certain personal information from these posts and present it to the user. The goal is to raise awareness among OSN users about how easy it is to uncover aspects of their private life from the data that they share in an Internet platform.