If You Like Manic(2017)
Based on real preference data from thousands of voters, here's what fans of Manic also love.
57 connections found
#1137xThe Tracey Fragments
2008
#281xThumbsucker
2005
#379xMysterious Skin
2005
#478xProzac Nation
2003
#577xRunning with Scissors
2006
#662xWhite Oleander
2002
#756xSunshine Cleaning
2009
#850xBrick
2006
#946xSaved!
2004
#1042xJawbreaker
1999
#1139xThirteen
2003
#1239xKids
1995
#1337xYouth in Revolt
2010
#1436xCharlie Bartlett
2008
#1534xHard Candy
2006
#1629xGhost World
2001
#1728xAdventureland
2009Kimaat Mefursemet
2017
#1922xNick and Norah's Infinite Playlist
2008
#2022xGarden State
2004
#2119xHeathers
1989
#2218xIt's Kind of a Funny Story
2010
#2318xRushmore
1999
#2418xThe Darjeeling Limited
2007
#2518xThank You for Smoking
2006
#2617xThe Life Aquatic with Steve Zissou
2004
#2713xThe Royal Tenenbaums
2002
#2812xThe Machinist
2004
#2910xLittle Miss Sunshine
2006
#3010xBeing John Malkovich
1999
#319.8xJuno
2007
#329.7xLost in Translation
2003
#339.3xRequiem for a Dream
2000
#349.2x(500) Days of Summer
2009
#357.9xTrainspotting
1996
#367.8xAmerican Psycho
2000
#377.7xEdward Scissorhands
1990
#387.6xDonnie Darko
2001
#397.6xThe Butterfly Effect
2004
#407.3xSin City
2005
#416.7xThe Shining
1980
#426.7xThe Perks of Being a Wallflower
2012
#436.6xEternal Sunshine of the Spotless Mind
2004
#446.6xScott Pilgrim vs. the World
2010
#456.4xZombieland
2009
#466.2xAmerican History X
1998
#476.1xThe Breakfast Club
1985
#486.0xReservoir Dogs
1992
#494.7xThe Truman Show
1998
#504.4xThe Silence of the Lambs
1991
#514.4xPulp Fiction
1994
#524.2xV for Vendetta
2006
#534.0xInglourious Basterds
2009
#543.8xFight Club
1999
#553.0xThe Dark Knight
2008
#562.8xThe Matrix
1999
#572.5xInception
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 Manic consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Manic 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.