[cmacole]

Good questions. I think the key difference will be in the topic/market focus. The creator/artist market (e.g., Patreon) is different enough from the researcher market that I don't think people browsing Patreon (on average) would be interested in backing graph neural network research, for example. From there, it will be about tailoring the platform to researchers' (and their backers') needs which could include a bunch of things like facilitating connections between other researchers and "advisors", (hopefully) being able to provide cloud/GPU discounts, having different standard rewards (e.g., a backer's name listed on a paper), etc.

If there is enough interest, I'd definitely want to expand to other areas, but AI/ML seemed like a good place to start since it's where I'm most familiar and there's not much overhead in terms of needing lab space, etc.

[epsilonclose]

Thanks for the answers. More questions if you're feeling up to it:

Will there be any sort of requirements to "demonstrate progress" to the funders (even if that means the results of a failed experiment or some sort of open lab notebook)?

Does all research need to terminate in a paper (as opposed to, say, tooling)?

In fact, how does accountability work in this system? Do researchers need to provide a provisional timeline? Research can fail or take unexpected turns away from the initial goal, and this may or may not make funders nervous. I guess this might be a way of asking: are participants funding people, or are they funding projects?

Will there be requirements to make all papers produced freely available? All source code? Is this at the researcher's discretion?

Suppose something profitable, or merely patentable, comes out of a Strato funded stint. Do the funders have any stake in such an outcome?

This sort of thing excites me, so I do hope you find some sort of success.