During this talk I will share techniques I use to speed the triage and analysis of binaries. These techniques include variants of Section hashing, Segment Hashing, and Position Independent Code (PIC) function hashing. The presentation will include applied results from using these techniques, including comparing samples for shared code clones and family analysis, sorting large piles of Mac malware. I've found better success using some of these hashing techniques to group a large corpus of files for further analysis, than I have with "traditional" fuzzy hashing. Other techniques (PIC hashing) can be used for comparing files as well as speeding the binary analysis of compiled code. All of these techniques can be implemented with simple Python programs and a data store back end of your choice (my current backend is Elastic Search). The presentation also includes pitfalls, hurdles, and analytical dead ends encountered during the use of these techniques.