There are dozens of programming languages in widespread commercial use. However, aside from a small proportion - mostly those used for system software (C, C++), high-performance computing (FORTRAN) and those used widely for business applications (Java, C#), most have underperforming implementations. Languages for technical computing (e.g., R, APL), scripting (Python, Perl, PHP, Ruby) and other domains are implemented mostly via straightforward interpretation, by direct parsing from source, or in conjunction with a virtual machine, but in most cases leaving a great deal of performance on the table. This is understandable, as building a high-performance implementation requires a significant amount of effort and specialized expertise (e.g., in compilation and garbage collection). Project Alphabet Soup aims to remedy that situation, by building a language implementation framework capable of delivering high performance for a wide variety of programming languages with modest implementation effort.