Thank you! I believe AutoML has huge value and can be a new standard in ML. I would like to see the adoption of AutoML - that's why I'm open sourcing it. Otherwise, I would need a lot of money for marketing and sales to make it popular.
Before open sourcing I was looking at Metabase and Redash solutions, and I was very impressed with their business model - I would like to achieve something similar. The goal is to be ramen profitable.
I will offer hosted paid version (SaaS offer similar to redash) and I will offer paid white labeled embedded machine learning platform (similar to metabase). Plus paid support, paid feature requests, ML consulting. Does it make sense?
If Auto ML has commercial value, why are you open-sourcing it?
I think it would be a bad idea to open-source your solution, unless you plan on competing on services, rather than an Auto ML product.