We'll have subscriptions for extra features like Letterboxd does. All basic features though is free forever.

1. No, it just means completely free. And the website’s not going anywhere unless I die or something. I'll look into making this clearer.

2. Noted. We'll put up a proper email address. I just figured Discord would be faster.

I’ve always hoped that once we reach Goodreads scale, we’d be able to release database dumps like VNDB (https://vndb.org/d14) and Lichess (https://database.lichess.org/)

Since the metadata is contributed by volunteers in the first place, it only seems fair for it to be freely available rather than locked down.

They switched because it took more effort from users to rate on a 5 vs just saying good or bad. Because Netflix is a streaming service, casual users don't want to put in that much effort when they're chilling. Tracking is fundamentally different, where you go in with the expectation of organizing your library.

Thanks for the detailed comment!

1. Friends reviews on book is actually not that hard at all. We will implement it right after we get the friends and follow system working.

2. This one will take a decent number of users and ratings. We need a lot of data before we can make recommendations using ML.

3. Noted.

4. We will add that in the next few weeks. Filtering TBR seems to be a common request.

> 1. Friends reviews on book is actually not that hard at all. We will implement it right after we get the friends and follow system working.

I mean it's hard because you have to get my friends to join. Goodreads has the network effect going for it.

Thanks!

We'll definitely implement automatic review bombing protection. I'm thinking something like Steam does.

We’ll definitely have this at some point. A good recommendation system needs a solid base of user data, so it’s only possible once we have a larger user base. I really wanted to have this for the launch since it seemed so important for a book tracking platform but we didn't have the data to train models to make recommendations.

I mean, not really you don't need user data; I was doing something related with LLM (simply asking it) and planning to use vector databases for various tasks, like semantic search, similarity matching, clustering, and topic modeling. Later pivoted to doing something for podcasts (analysing transcripts).

Not yet, but we’re rolling out a way to add missing books later this week!

I'm curious—what would you like to do with the API?

Ironically, mainly to check for irregular voting patterns like brigading.

Not dissimilar to what Steam implemented, which is basically Bollinger bands for ratings.