This topic, in my opinion, is one of the missing aspects of Hive and a reason why it doesn't attract more people from the outside or encourage newcomers to stay longer.

People prefer platforms that automatically feed them content tailored to their interests, rather than having to search for content they like. On Hive, the latter is typically the case.

Hive is essentially a vast database of transactions, links, blog posts, and more. However, unlike social networks like Meta and X, it is not designed with graph network algorithms that continuously work to connect users to other users and content. Hive operates more as a meritocratic system that expects users to compete for rewards "organically," with its recommendation system relying heavily on manual curation. Additionally, monetization is limited to the first seven days after content is posted.

Solving this problem is quite a challenge and is currently being addressed by frontend dApps like Leo.

"As more content gets in front of people, it can stimulate activity."

I agree, but I would also suggest that "as more curated content based on users' activity, likes, and engagements is presented, more users may stay and contribute to increased activity."

However, this approach could also introduce new challenges, such as concerns over privacy.

Beyond that, if there could be a single or decentralized graph network algorithm that continuously evolves to connect everyone and everything on Hive, I think it would have a significant impact.