What we do behind the closed doors is a lot of (machine) learning. Free Plumbr versions send us anonymous statistics about the object creation and destruction patterns. We used this data as a training set for supervised machine learning to improve our leak detection algorithm. Our experts confirmed hundreds of memory leaks out of more than 400,000 memory snapshots from thousands of different applications to be used as a training set to generate new and improved leak detection algos. Based on the results we have discovered several new metrics which allowed greatly increase detection precision.