Bubble Recommendation Algorithm

Hello to everyone, i’m making a Bubble app, and i have a question.
The YouTube, Instagram, Facebook, etc. have a recommendation algorithm, to filter what the user like and dosn’t like. i wanna know if is possible create a recommendation algorithm on Bubble.

an accurate algorithm, that loads fast will be hard with bubble. (accurate meaning actually taking datapoints such as what content specifically was clicked or you spent time on or engaged with)
i would have an idea what to do but i can only recommend it for someone who knows their way around actual code and APIs and backend workflows…

as a basic simplification you can allow people to follow people and topics and only display posts of people and topics followed. that works no problem.

if you cannot get 1000 users of such a simplified newsfeed, there is no reason to spend time developing an optimized one.


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