Good idea and fun name (even if it doesn't tell me anything about the product). I don't see your path to a billion dollar market like YC usually expects to see though, do you have a plan there?
One thing I've found while working in the ML space is that it seems like ML researchers have to deal with a lot of systems cruft. I think that in the limit, ML researchers basically only care having about a few things set up well:
- secrets and environment management
- making sure their dependencies are installed
- efficient access to their data
- quick access to their code
- using expensive compute efficiently
But to get all this set up for their research they need to wade through a ton of documentation about git, bash, docker containers, mountpoints, availability zones, cluster management and other low-level systems topics.
I think there's space for something like Replit or Vercel for ML researchers, and Moonglow is a (very early!) attempt at creating something like it.
One thing I've found while working in the ML space is that it seems like ML researchers have to deal with a lot of systems cruft. I think that in the limit, ML researchers basically only care having about a few things set up well:
- secrets and environment management
- making sure their dependencies are installed
- efficient access to their data
- quick access to their code
- using expensive compute efficiently
But to get all this set up for their research they need to wade through a ton of documentation about git, bash, docker containers, mountpoints, availability zones, cluster management and other low-level systems topics.
I think there's space for something like Replit or Vercel for ML researchers, and Moonglow is a (very early!) attempt at creating something like it.