> I think Moonglow's target audience is slightly different than Colab's though because of the tight VSCode/Cursor integration - many people we've talked to said they really value the code-complete, which you can't get in any web frontend!
At the risk of repeating the famous Dropbox comment
I like the idea and that the ease of usage is your selling point. But I don't know if that is actually a reasonable reason. People who are entrenched that much in VSCode ecosystem wouldn't find it a problem to deploy dockerized Nvidia GPU container and connect to their own compute instance via remote/tunnel plugins on VSCode which one can argue does make more sense.
Congratulations on the launch and good luck with the product.
Thanks! I think the "deploy and connect" workflow is itself not super painful, but even if you're invested in VSCode, doing that again and again every day is pretty annoying (and it certainly was for me when I used to do ML), so hopefully the ease of use is valuable for people.
At the risk of repeating the famous Dropbox comment
I like the idea and that the ease of usage is your selling point. But I don't know if that is actually a reasonable reason. People who are entrenched that much in VSCode ecosystem wouldn't find it a problem to deploy dockerized Nvidia GPU container and connect to their own compute instance via remote/tunnel plugins on VSCode which one can argue does make more sense.
Congratulations on the launch and good luck with the product.