@Madiator2011 In reply to your comment - would love to hear your opinion 
I really like @grin’s idea. I would also add participant weighting to it. The more credentials you have, the the more your stake is matched.
The logic would be, if more people with higher credentials support a project, the more likely it is that it’s a good concept, thus would be safer to fund with higher amounts.
That would also be a good project - creating a mechanism where a bot could determine your weighted score.
You could use existing LBRY data to partly achieve this, by looking at things such as the following:
- The age of the channel.
- How much original content has been uploaded.
- Is the channel verified.
- Does it use YouTube sync and if so how many followers - more YouTube subs = higher score.
- How much supports are on the channel.
You could also use a method similar to KeyBase, where, if a channel has matching codes on their social media and dev platforms, this can also be used to weight their score.