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Designing a Firebase based scalable feed model

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Question :

How to design a social network "feed" with Firebase as backend, that scales ?

Possible answers :

"MVP" solution is to design a feeds root child, one for each user, and append any new post from the followed user in every follower's feeds.

users
  user1
    name: bob
  user2
    name: alice
    follows: 
      user1: true

posts
  post1
     author: user1
     text: 'Hi there'

feeds
  user2
    post1: true

This works well, and is demoed in the Firefeed project. But it does not scale well : if Katy Perry wants to post something, her mobile phone will have to write to millions of feed.

Hence the solution reported in this SO question to delegate this operation to a server based process.

My problem is, Firebase is a "no-backend" solution, and this is the main reason why I use it, so I'd like to make sure there is absolutely no chance of implementing this feature without a server.

What if the feeds child is removed in the above schema ?

Then do this :

baseRef.child('posts')
       .orderBy('author')
       .whereIn(baseRef.child('users/user2/follows').keys())

Unfortunately, whereIn does not exists in Firebase API, nor subqueries :(

Any other model structure possible without the need of a server ?

Thanks


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