#177xLocke
2014
#248xThe Double
2014
#334xBlue Ruin
2014
#426xUnder the Skin
2014
#523xPredestination
2015
#623xBirdman or (The Unexpected Virtue of Ignorance)
2014
#722xThe Place Beyond the Pines
2013
#822xThe Hunt
2013
#922xNocturnal Animals
2016
#1020xCoherence
2014
#1120xPrisoners
2013
#1216xI Origins
2014
#1315xNightcrawler
2014
#1413xThe Lobster
2015
#1513xIt Follows
2015mulholland dr.
#1713xSnowpiercer
2014
#1812xSicario
2015
#199.4xThe Hateful Eight
2015
#209.4xParasite
2019
#219.4xMr. Nobody
2013
#229.2xDallas Buyers Club
2013
#239.0xZodiac
2007
#248.9xDrive
201128 days later...
memento
#278.5xWhiplash
2014
#288.4xThe Game
1997
#298.4xBlade Runner 2049
2017
#308.3xGone Girl
2014
#318.1xThe Machinist
2004
#328.1xEx Machina
2015
#338.0xGattaca
1997
#347.5xHer
2014
#357.3xThe Inglorious Bastards
1978
#367.3xTwelve Monkeys
1996
#377.2xTaxi Driver
1981
#387.1xSource Code
2011
#396.9xThere Will Be Blood
2008
#406.9xMoon
2009
#416.8xGet Out
2017
#426.8xLooper
2012
#436.6xTaxi Driver
1976
#446.3xLost in Translation
2003
#456.2xMoonrise Kingdom
2012
#466.1xA Clockwork Orange
1972
#476.0xBlack Swan
2010
#486.0xJoker
2019
#495.9xBaby Driver
2017
#505.9xBeing John Malkovich
1999
#515.6xArrival
2016
#525.5xGravity
2013
#535.4xMad Max: Fury Road
2015
#545.4xFull Metal Jacket
1987
#555.4xScarface
1983
#565.3xThe Social Network
2010
#575.1xThe Butterfly Effect
2004
#585.1xNo Country for Old Men
2007
#595.0xFear and Loathing in Las Vegas
1998
#605.0xThe Grand Budapest Hotel
2014
#615.0xKill Bill: Vol. 1
2003
#624.9xBlade Runner
1982
#634.8xSe7en
1995
#644.8x2001: A Space Odyssey
1968
#654.8xRequiem for a Dream
2000El laberinto del fauno
2006
#674.7xDonnie Darko
2001
#684.7xLock, Stock and Two Smoking Barrels
1998
#694.6xBig Fish
2004
#704.6xWatchmen
2009
#714.6xMinority Report
2002
#724.6xDistrict 9
2009
#734.6xFargo
1996
#744.5xThe Shining
1980
#754.5xAmerican Psycho
2000
#764.5xJohn Wick
2014
#774.4xSin City
2005
#784.4xInto the Wild
2007
#794.4xGroundhog Day
1993
#804.2xThe Imitation Game
2014Goodfellas
1990
#824.1xEdge of Tomorrow
2014
#834.1xTrainspotting
1996
#844.0xAlien
1979
#854.0xThe Big Lebowski
1998
#864.0xLéon: The Professional
1994
#874.0xDead Poets Society
1989
#883.9xCast Away
2000
#893.9xDjango Unchained
2012
#903.9xSnatch
2001
#913.9xThe Godfather
1972
#923.8xSchindler's List
1994
#933.8xAmerican History X
1998
#943.8xThe Fifth Element
1997
#953.8xThe Wolf of Wall Street
2013
#963.6xAmélie
2001
#973.6xLittle Miss Sunshine
2006
#983.6xLimitless
2011
#993.6xThe Sixth Sense
1999
#1003.6xEternal Sunshine of the Spotless Mind
2004Star Wars: Episode V - The Empire Strikes Back
1980
#1023.5xReservoir Dogs
1992
#1033.5xThe Departed
2006
#1043.5xShutter Island
2010
#1053.5xTerminator 2: Judgment Day
1991
#1063.4xThe Prestige
2006
#1073.4xThe Green Mile
1999
#1083.4xThe Silence of the Lambs
1991
#1093.4xThe Martian
2015
#1103.4xI Am Legend
2007
#1113.3xInglourious Basterds
2009
#1123.2xGood Will Hunting
1998
#1133.2xInterstellar
2014
#1143.2xWALL·E
2008
#1153.2xEdward Scissorhands
1990
#1163.1xSpirited Away
2001
#1173.0xCatch Me If You Can
2003
#1183.0xSaving Private Ryan
1998
#1193.0xV for Vendetta
2006
#1202.9xThe Truman Show
1998
#1212.9xThe Dark Knight Rises
2012
#1222.8xThe Shawshank Redemption
1994
#1232.7xJurassic Park
1993
#1242.7xPulp Fiction
1994
#1252.6xBatman Begins
2005
#1262.6xFight Club
1999
#1272.6xGladiator
2000
#1282.6xDeadpool
2016
#1292.5xUp
2009
#1302.5xThe Matrix
1999
#1312.4xThe Dark Knight
2008
#1322.4xForrest Gump
1994
#1332.3xThe Lord of the Rings: The Fellowship of the Ring
2001
#1342.3xThe Lord of the Rings: The Two Towers
2002
#1352.3xInception
2010
#1362.2xBack to the Future
1985
#1372.1xThe Lord of the Rings: The Return of the King
2003
#1382.1xGuardians of the Galaxy
2014
#1391.9xIron Man
2008How 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 Enemy? consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Enemy? 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.