This is indeed a monster of an idea, and the refining of it should be tonnes of fun and learnings to come from it, if you just have a look at schema.org and look at all the site mark ups google doesn't support that site owners could use and that could be boosted with LN you'll see how brain melting this can be since each content type can be treated differently

Articles, recipes, events, podcasts, video, images, infographics, user-generated content can all be marked up and weighted to the persons perferences

Regarding scrolling it's become an important value measurement, its used in social media, people with longer scroll depth are more valuble as they provide more signal, people who go to googles page 2,3 are more valuable because they tend to me more indepth researchers, websites on angular/react front ends tend to use infinite scroll, native apps and PWAs are all built on the scrolling model and so depth is important as well as dwell time, these are all signals that could be used

In LN, the paywall could be configured to pay as far as you scroll, so instead of paying to unlock the total piece, I read the introduction and as I'm captivated I read on and the paywall releases more as you stream sats as if its an infinite scroll site

Since LN can also be added to RSS feeds, you can draw from things like Turbo pages which Yandex has, RSS readers like feedly, and apps you have a much broader data set that google only gets access to or really considers

Thanks for the feedback, I think you're on to something here, I like the idea of the migration approach for the normies, and seeding the sats via another revenue-generating business.

I am working on something that could feed into this initial idea, and provide an indicator for a certain niche of content. I am focusing on user-generated content/reviews not with the bitcoin manual but with my normie business, I am still trying to get my head around the downsides and gamification and how it's marginally better than the trust assumptions we have today with user-generated content and how we can make it better that what we already have

LN is a big part of that as I'm learning about what it can bring.

You've given me a lot to consider, will continue to refine the idea