It considers 100k+ names in milliseconds and shows you the best for which [name].com is available. Sure, tools like this exist, but I don't know of any that come close in terms of speed.
I used an n-gram predictive model, trained on an English word corpus to generate the suggestions. For ridiculous performance, I used a Bloom filter backed by Redis, together with some sneaky and caching and prefetching.
My next plans are to enhance this by searching the app stores for similarly named apps, and also checking for relevant trademarks, since I find myself doing that a lot manually. And I would like to add more advance name generation controls, like choosing prefix words matching parts of speech and using n-gram word models to generate phrase suggestions.
Thanks for checking it out!