I messed around with Seq when it was posted here a while back. At the time, I was looking for a more performant language than Python for HashBackup (author), a

I messed around with Seq when it was posted here a while back. At the time, I was looking for a more performant language than Python for HashBackup (author), and was looking into D, Go, and Nim. I had a few microbenchmarks to get me a little familiar with the syntax and check performance on things that were a problem in Python, like huge dicts of unique integers (each integer in Python is 24 bytes). The HN post on Seq came up right as I was doing this so I figured I'd check it too. It did really fantastic on the dict microbenchmark, using something like 350MB of RAM while Python used 1.8 GB, or something like that. I have no use for any of the genome features, and when I talked with them, they have no use for crypto features. The things that are important to me were not a high priority on their roadmap, so I didn't pursue it.