[ArmelC]

Hey, I'm one of the devs at Rave.

I posted some general responses here: https://news.ycombinator.com/item?id=17852736

We're aiming to make the process as simple as possible, so anyone can make mashups/mixes, and will add on customizations over time. Our focus first and foremost will be to make sure that the core process is solid before we add on to it.

Our AI does do more than beatmatching as well. Though a lot of that is going to be more evident in our mix AI, which we've been focusing on recently.

[citation_please]

To be honest I didn't think my comment would get that much attention - and if I did I would've worded it a bit more gently. I think the framework that you've built around this product is really, really, really impressive (the virality and interactivity, for example). But I also think it's a very hard problem that you've set out to tackle. I alluded to it a bit elsewhere in this thread, but there hasn't been nearly as much work put into audio signal learning as there has been photographic signal learning. I'm really excited to see what else can be done, and I'm happy to see that someone is trying to do it. I wish you the best of luck

(But I'm also hoping that this doesn't further dilute the music industry by making music "production" even easier. Pop music is already "algorithmically solved", and other genres aren't as unique as any fan would like to think.)

[slededit]

There are a lot of "mixes" on youtube for electronic music that have great track selection but do simple fades because they don't have the technical skills. If this technology helps them solve that then it would improve my listening experience dramatically.

[ArmelC]

That is actually precisely what we're aiming to solve! Give those who don't have the technical skills, a means to get the best result they can get, while letting them focus on the part that is important to them: the music selection.