Photo Experiment
@Lostcause &
@play_time_is_over, I think I've figured it out!
I slightly tweaked the (python) code from this repo:
https://github.com/fbessez/Tinder
After authenticating, I first looked into the "liked-content" field of matches that
@Lostcause mentioned:
Code: Select all
result = tinder_api.get_updates("")
result["matches"][10]["liked_content"]["by_closer"]["photo"]["url"]
That url goes to a photo of the girl that I must've liked to generate the match. I'm guessing it's missing for girls who took down that photo since it's present for 10 of my 13 matches and the ones that it's missing are older matches.
Additionally, the data S3nga was talking about is present for your own photos:
Code: Select all
result = tinder_api.get_self()
result["photos"][4]["rank"]
result["photos"] can be indexed for each of your profile's photos in order. Rank from 0 to N is Tinder's thoughts on your best photo which is based on the "win_count" which presumably corresponds to girls liking the photo.
Looking at scores + win_counts of the girls' "liked-content" photo suggests to me that "score" is partially influenced by win_count but presumably also related to who the likes were received by.
So that's similar to the score I was developing by hand for Hinge where I was taking into account the number of likes each of my photos received but also my ranking out of 10 of the girl that gave the like.
So, keeping track of win_count and score should be the way to test your photos on Tinder.
Thanks for pointing this out S3nga! Let the data mining commence
Gym
Arm day fried by triceps (good), hockey got my heart pumping (good), and did core afterwards. Feeling good!
I have a date tomorrow morning so that'll be nice.
The only downside is it's nearly midnight so I should go to sleep now but I've only had about 2k calories today. And I've only had 3k the past two days (which is below maintenance for me...)