Netflix releases all their shows at 3 AM EST. Same for Disney+ and I think CBS All Access. Hulu is 12 AM EST, so is Apple TV+. Amazon Prime Video is unofficially 12 AM UTC.

Whatever the time is for each, these are outlets that release each and every show at the same time of day, so relying on individualized TVDB data for each show, which will often be incorrect, could be inefficient?

What got me thinking of this is TVDB, in their usual bureaucratic folly, has a policy to register 3 AM as the airtime for all shows on (U.S.-based) streaming services, despite the fact that it results in inaccurate data for many series, e.g. Hulu's.

This might also get around problems that arise from, for instance, a Netflix show having an origin country that's not the U.S. (maybe that's inherently incorrect but it happens with some shows from foreign studios), and Trakt assumes the 3 AM airtime to be in the region of that origin country, and not EST, which Netflix uses regardless.

It would be awesome being able to :

• compare years between each of them (1)


• compare stats with the highest value (2)

Basicaly for each "block" or stat you could toggle two small buttons that show up on hover.
- Compare with highest value (2)
- Compare with previous year (or a specific year but I know it's not an easy task to display a dropdown in such a page (that's why you haven't found a way to allow us to select a year range for Year in Review feature yet)) (1)

for TV shows or people ranking, you could also display :
- the ranking that show had in that other year (1)
- the highest it's ever been in a single year (2)

All these informations could be enhanced with with numbers (like +20% , +5hours, -2ranks)

so for example I could see
- week 33 I had only 9 plays but in 2016 I had 36 plays (2016, +27 plays(or +300%))
- week 44 I had 27 plays and in 2016 I had only 9 plays (2016, -18 plays(or -200%))
- Big bang theory was my most viewed TV show in 2018 but not this year (2019, -5 ranks)

Not sure how to do this with the movie/TV show networks.

On ALL TIME stats I would also suggest this but only for option 2. Being able to see how much each highest value brings to the total
Something like 2000 plays between 2015 and 2019 but my higest year was 2016 with 500 plays (2016, 25%)

I'm sure this needs more analysis and more thinking so I'm just giving a little suggestion :-)

There have been many times when I wonder whether to wait through the credits in the cinema to see if there is an after credits scene, or, when watching a film at home and then leaving the rolling credits on for the music whilst I rate the movie and SURPRISE! Post credits scene that I had no idea about, and I don't like thinking about how many people missed this scene because no one had an idea it existed.

I believe some feedback system where (authenticated) users can vote to say whether the movie has an after credits scene or not. I understand there is some exceptions when films have multiple after credits scenes with more credits in between them but I think maybe just a Yes or No should suffice enough to help people justify whether to wait through the credits or not.

My technical idea for this is something along the lines of.

To allow voting:
a POST request that needs to include a bearer token so that we are sure that only users with accounts can vote. Sent along with the info needed to record a vote, such as movie id and their vote (maybe YES/NO (Boolean?) What about future proofing for other voting options?)

My idea for the storage of a vote is (this is based on assumed knowledge of the current DB structure given the current API responses) a table with columns to store the userid, movieid and their vote. Which could hopefully make changing a users vote easy and avoiding double voting etc.

Fetching the votes will simply be a count of the votes for a given movie for each vote choice.

This is a very loose idea and without knowledge of the current system I can't say my suggestions/ideas are accurate.

Would love to hear reasons for/against this idea.

Thanks