
If You Like Velvet Buzzsaw(2019)
Based on real preference data from thousands of voters, here's what fans of Velvet Buzzsaw also love.
143 connections found
#181xSuspiria
2018
#269xThe Ritual
2017
#354xThe Autopsy of Jane Doe
2016
#451xThe Invitation
2015Mother!
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#644xUs
2019
#739xMidsommar
2019
#838xAnnihilation
2018
#938xHereditary
2018
#1035xIt Follows
2015
#1133xNocturnal Animals
2016
#1231xThe Babadook
2014
#1331xThe Cabin in the Woods
2012
#1429xBird Box
2018
#1526x10 Cloverfield Lane
2016
#1624xIt
2017
#1724xThe Mist
2007
#1823xA Quiet Place
2018
#1923xGet Out
2017
#2023xThe Lobster
2015
#2121xParasite
2019
#2220xSnowpiercer
2014
#2318xThe Thing
1982
#2418xBlade Runner 2049
2017
#2518xKill Bill: Vol. 2
2004
#2616xNightcrawler
2014
#2716xGattaca
1997
#2816xThe Hateful Eight
2015
#2915xJoker
2019
#3015xDrive
2011
#3114xTaxi Driver
1976
#3214xZodiac
2007
#3314xBaby Driver
2017
#3413xArrival
2016
#3513xBlack Swan
2010
#3613xThe Machinist
2004
#3713xAliens
1986
#3812xEx Machina
2015
#3912xLooper
2012
#4012xMoon
2009
#4111xLéon: The Professional
1994
#4211xWatchmen
2009
#4311xGone Girl
2014
#4411xThe Butterfly Effect
2004
#4511xJohn Wick
2014El laberinto del fauno
2006
#4711xMemento
2001
#4811xHot Fuzz
2007
#4911xBlade Runner
1982
#5011xFear and Loathing in Las Vegas
1998
#5111xDeadpool 2
2018
#5210xBig Fish
2004
#5310xMad Max: Fury Road
2015
#5410xAlien
1979
#5510xBeing John Malkovich
1999
#5610xDistrict 9
2009
#5710xAmerican Psycho
2000
#589.9xThe Shining
1980
#599.8xShaun of the Dead
2004
#609.7xHer
2014
#619.7xThe Fifth Element
1997
#629.7x2001: A Space Odyssey
1968
#639.7xKill Bill: Vol. 1
2003
#649.4xZombieland
2009Terminator
1984
#669.3xThe Grand Budapest Hotel
2014
#679.3xFargo
1996
#689.1xCast Away
2000
#699.0xLimitless
2011
#708.9xKick-Ass
2010
#718.7xI Am Legend
2007
#728.6xFull Metal Jacket
1987
#738.6xNo Country for Old Men
2007
#748.5xWhiplash
2014
#758.5xSe7en
1995
#768.5xMinority Report
2002
#778.4xMean Girls
2004
#788.4xSpider-Man
2002
#798.3xThe Silence of the Lambs
1991
#808.3xRequiem for a Dream
2000Goodfellas
1990
#828.1xThe Nightmare Before Christmas
1993
#838.1xSin City
2005
#848.1xThe Big Lebowski
1998
#858.1xEdward Scissorhands
1990
#868.0xThe Sixth Sense
1999
#877.9xThe Breakfast Club
1985
#887.9xEasy A
2010
#897.9xDonnie Darko
2001
#907.9xEdge of Tomorrow
2014
#917.8xLittle Miss Sunshine
2006
#927.8xWALL·E
2008
#937.7xTerminator 2: Judgment Day
1991
#947.7xDeadpool
2016
#957.5xGuardians of the Galaxy Vol. 2
2017
#967.4xShutter Island
2010
#977.3xThe Imitation Game
2014
#987.2xMen in Black
1997
#997.2xThe Wolf of Wall Street
2013
#1007.1xThe Green Mile
1999
#1017.0xTrainspotting
1996
#1027.0xThe Incredibles
2004
#1036.9xThe Departed
2006
#1046.9xDjango Unchained
2012
#1056.7xInglourious Basterds
2009
#1066.7xScott Pilgrim vs. the World
2010
#1076.6xSaving Private Ryan
1998
#1086.6xJurassic Park
1993
#1096.6xV for Vendetta
2006
#1106.6xThe Godfather
1972
#1116.6xGladiator
2000
#1126.5xThe Dark Knight Rises
2012
#1136.5xMonsters, Inc.
2001
#1146.5xThe Martian
2015
#1156.5xReservoir Dogs
1992
#1166.5xSpirited Away
2001
#1176.4xEternal Sunshine of the Spotless Mind
2004
#1186.4xThe Truman Show
1998
#1196.4xAmerican History X
1998
#1206.3xThe Prestige
2006
#1216.2xUp
2009
#1226.0xShrek
2001
#1235.9xBatman Begins
2005
#1245.9xAvatar
2009
#1255.9xBack to the Future
1985
#1265.9xThe Matrix
1999
#1275.8xGood Will Hunting
1998
#1285.7xCatch Me If You Can
2003
#1295.7xThe Dark Knight
2008
#1305.6xPulp Fiction
1994
#1315.6xThe Shawshank Redemption
1994
#1325.4xThe Avengers
2012
#1335.4xIron Man
2008
#1345.3xThe Hunger Games
2012
#1355.3xInterstellar
2014
#1365.0xForrest Gump
1994
#1374.9xThe Lord of the Rings: The Fellowship of the Ring
2001
#1384.9xThe Lord of the Rings: The Two Towers
2002
#1394.8xGuardians of the Galaxy
2014
#1404.8xFight Club
1999
#1414.7xThe Lord of the Rings: The Return of the King
2003
#1424.4xInception
2010
#1434.2xPirates of the Caribbean: The Curse of the Black Pearl
2003How 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 Velvet Buzzsaw consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Velvet Buzzsaw 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.