1) Will there be limits on the size of data sets/ what size data are you optimizing for? Some algos focus on hundreds of records, some on billions, and the ideal system for either are quite different (small data works great by transferring data back and forth over http, data with hundreds of thousands of records and up... not so much).

2) Same question as above, but for processing times. Some algos are aimed at operating on the fly and might take ~1 second or less. Others (many that I deal with quite often), might run for days, or even weeks. What sort of processes are you optimizing for, and are long running procs on the radar?

It is an interesting idea, but there is a high bar when competing against my language's package manager, and the 10s of thousands of "algorithms" already out there. Best of luck!