If You Like Every Day(2018)
Based on real preference data from thousands of voters, here's what fans of Every Day also love.
62 connections found
#1179xMidnight Sun
2018
#2120xBefore I Fall
2017
#3113xEverything, Everything
2017
#4101xSierra Burgess Is a Loser
2018
#599xFive Feet Apart
2019
#692xThe Kissing Booth
2018
#781xSet It Up
2018
#858xLove, Simon
2018
#957xTo All the Boys I've Loved Before
2018
#1052xPaper Towns
2015
#1144xThe Longest Ride
2015
#1244xMe Before You
2016
#1342xThe Age of Adaline
2015
#1441xThe Edge of Seventeen
2016
#1535xThe Greatest Showman
2017
#1634xThe Lucky One
2012
#1734xThe First Time
2013
#1833xBeastly
2011
#1933xIf I Stay
2014
#2032xNerve
2016
#2131xThe DUFF
2015
#2230xThe Vow
2012
#2329xThe Last Song
2010
#2428xLove, Rosie
2014Life as We Know It
2010
#2626xThe Spectacular Now
2013
#2725xLetters to Juliet
2010
#2821x17 Again
2009
#2921xFriends with Benefits
2011
#3020xA Cinderella Story
2004
#3119xMaleficent
2014
#3218xThe Proposal
2009
#3318xJumanji: Welcome to the Jungle
2017
#3417xThe Fault in Our Stars
2014
#3517xShe's the Man
2006
#3617xHow to Lose a Guy in 10 Days
2003
#3716xAbout Time
2013
#3816x13 Going on 30
2004
#3916xThe Maze Runner
2014
#4015xThe Princess Diaries
2001
#4115xPitch Perfect
2012
#4215xDivergent
2014
#4315xThe Devil Wears Prada
2006
#4414xTwilight
2008
#4514xFantastic Beasts and Where to Find Them
2016
#4614xLegally Blonde
2001
#4712xThe Hunger Games: Catching Fire
2013
#4811xThe Notebook
2004
#4911xEasy A
2010
#5011x10 Things I Hate About You
1999
#5111xBrave
2012
#529.9xSpider-Man: Homecoming
2017
#538.7xThe Perks of Being a Wallflower
2012
#548.5xMean Girls
2004
#556.9xThe Hunger Games
2012
#566.6xHarry Potter and the Order of the Phoenix
2007
#576.6xHarry Potter and the Goblet of Fire
2005
#586.3xHarry Potter and the Prisoner of Azkaban
2004
#595.3xDeadpool
2016
#605.3xAvatar
2009
#615.2xUp
2009
#622.5xInception
2010How does this work?
These recommendations are based on real voting data, not algorithms. When thousands of people vote on their favorites, patterns emerge — people who love Every Day consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Every Day are to enjoy each recommendation compared to the average person.
Unlike algorithmic recommendations, these connections come from actual human preferences. A high strength score means the connection is genuine — not just because two items share a category, but because the same people genuinely love both.