If You Like adam
Based on real preference data from thousands of voters, here's what fans of adam also love. Use these connections to discover your next favorite.
120 connections found
#1124xGigantic
2018
#296xHappythankyoumoreplease
2011
#384xThe Go-Getter
2007
#481xPaper Heart
2009
#580xRocket Science
2007
#667xDaydream Nation
2010
#759xAway We Go
2009
#854xLiberal Arts
2012
#950xSunshine Cleaning
2009
#1048xBeginners
2011
#1145xThe Kids Are All Right
2010Egy nap
2018
#1341xLike Crazy
2012
#1440xNever Let Me Go
2010
#1539xCharlie Bartlett
2008once
The Art of Getting by
2011
#1836xIt's Kind of a Funny Story
2010
#1935xAn Education
2009
#2034xRuby Sparks
2012
#2134xYouth in Revolt
2010
#2233xMe and You and Everyone We Know
2005
#2330x50/50
2011
#2429xBlue Valentine
2011
#2528xSafety Not Guaranteed
2012
#2628xAdventureland
2009
#2727xWhip It
2009
#2826xDefinitely, Maybe
2008
#2926xNick and Norah's Infinite Playlist
2008
#3023xUp in the Air
2009
#3121xAtonement
2008
#3220xAcross the Universe
2007
#3320xRemember Me
2010
#3419xGarden State
2004Kimaat Mefursemet
2017
#3617xHe's Just Not That Into You
2009
#3717xMidnight in Paris
2011
#3817xSilver Linings Playbook
2012
#3916xStranger Than Fiction
2006
#4016xBefore Sunrise
1995
#4116xHard Candy
2006
#4216xThe Darjeeling Limited
2007
#4315xThe Spectacular Now
2013
#4414xGhost World
2001
#4514xAbout Time
2013
#4614x(500) Days of Summer
2009
#4713xThank You for Smoking
2006
#4813xRushmore
1999
#4911xForgetting Sarah Marshall
2008
#5011xMoonrise Kingdom
2012
#5110xJuno
2007
#5210xThe Perks of Being a Wallflower
2012
#539.8xLittle Miss Sunshine
2006
#549.7xFantastic Mr. Fox
2009
#559.7xThe Royal Tenenbaums
2002
#568.8x10 Things I Hate About You
1999
#578.7xBig Fish
2004
#588.7xEasy A
2010
#598.5xLost in Translation
2003
#608.2xInto the Wild
2007
#617.9xFerris Bueller's Day Off
1986
#627.4xEdward Scissorhands
1990
#637.2xCorpse Bride
2005
#647.1xDead Poets Society
1989
#657.1xThe Notebook
2004
#666.7xScott Pilgrim vs. the World
2010
#676.7xThe Butterfly Effect
2004
#686.6xHer
2014
#696.6xThe Social Network
2010
#706.5xBeing John Malkovich
1999
#716.4xThe Breakfast Club
1985
#725.9xMean Girls
2004
#735.9xHarry Potter and the Order of the Phoenix
2007
#745.6xEternal Sunshine of the Spotless Mind
2004
#755.5xBlack Swan
2010
#765.4xAmélie
2001
#775.4xSuperbad
2007
#785.4xHarry Potter and the Goblet of Fire
2005
#795.2xZombieland
2009
#805.1xShaun of the Dead
2004
#815.1xHarry Potter and the Half-Blood Prince
2009
#825.0xHarry Potter and the Chamber of Secrets
2002
#835.0xHarry Potter and the Prisoner of Azkaban
2004
#845.0xThe Nightmare Before Christmas
1993
#854.9xRequiem for a Dream
2000
#864.8xGood Will Hunting
1998
#874.8xHow to Train Your Dragon
2010
#884.6xTrainspotting
1996
#894.5xThe Grand Budapest Hotel
2014
#904.4xDonnie Darko
2001
#914.3xUp
2009
#924.3xThe Hangover
2009
#934.3xThe Sixth Sense
1999
#944.2xCatch Me If You Can
2003
#954.2xThe Truman Show
1998
#964.2xSpirited Away
2001
#974.2xAmerican Psycho
2000
#984.0xMonsters, Inc.
2001
#993.8xV for Vendetta
2006
#1003.8xAmerican History X
1998
#1013.5xThe Prestige
2006
#1023.5xThe Shining
1980
#1033.5xPirates of the Caribbean: The Curse of the Black Pearl
2003
#1043.5xForrest Gump
1994
#1053.4xThe Lord of the Rings: The Two Towers
2002
#1063.4xThe Departed
2006
#1073.3xThe Silence of the Lambs
1991
#1083.3xThe Lord of the Rings: The Return of the King
2003
#1093.3xThe Lord of the Rings: The Fellowship of the Ring
2001
#1103.3xShutter Island
2010
#1113.2xInglourious Basterds
2009
#1123.2xFight Club
1999
#1133.0xBack to the Future
1985
#1143.0xReservoir Dogs
1992
#1152.9xIron Man
2008
#1162.9xInception
2010
#1172.8xThe Shawshank Redemption
1994
#1182.8xThe Dark Knight
2008
#1192.6xPulp Fiction
1994
#1202.3xThe Matrix
1999How 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 adam consistently tend to also love certain other things. The "strength" score shows how much more likely fans of adam 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.