With the ever-growing amount of messages exchanged via Twitter, there is an increasing interest in filtering this information, which is delivered under the form of a stream of messages. In this paper, we present a system for detecting popular topics in Twitter. The system can be applied to static corpora and can also handle the live Twitter stream.