If You Like Maniac(2013)
Based on real preference data from thousands of voters, here's what fans of Maniac also love.
62 connections found
#1144xHigh Tension
2005
#274xSuspiria
1977
#364xThe Devil's Rejects
2005
#458xHouse of 1000 Corpses
2003
#556xHalloween
2018
#655xNight of the Living Dead
1968
#750xVideodrome
1983
#849xThe Evil Dead
1983
#949xThe Descent
2006
#1048xHellraiser
1987
#1142xThey Live
1988
#1239xCarrie
1976
#1339xThe Exorcist
1973
#1438xThe Babadook
2014
#1535xRosemary's Baby
1968
#1635xArmy of Darkness
1993
#1734xWe Need to Talk About Kevin
2011
#1834xIt Follows
2015
#1933xThe Fly
1986
#2033xThe Mist
2007
#2127xThe Cabin in the Woods
2012
#2226x28 Weeks Later
2007
#2325xThe Thing
1982
#2425xIt
2017
#2524xNatural Born Killers
1994
#2624xFrom Dusk Till Dawn
1996
#2718xPsycho
1960
#2815xDrive
2011
#2915xThe Machinist
2004
#3014xAliens
1986
#3114xGet Out
2017
#3213xAlien
1979
#3312xAmerican Psycho
2000
#3412xNightcrawler
2014
#3511xBlack Swan
2010
#3611xSin City
2005
#3710xShaun of the Dead
2004
#3810xThe Butterfly Effect
2004
#399.9xFull Metal Jacket
1987
#409.7xThe Shining
1980
#419.2xDistrict 9
2009
#429.2xNo Country for Old Men
2007
#439.1xRequiem for a Dream
2000
#449.0xTerminator 2: Judgment Day
1991
#458.2xThe Big Lebowski
1998
#467.9xReservoir Dogs
1992
#477.7xTrainspotting
1996
#487.6xAmerican History X
1998
#497.6xDonnie Darko
2001
#507.3xThe Silence of the Lambs
1991
#516.5xDjango Unchained
2012
#525.8xSe7en
1995
#535.5xShutter Island
2010
#545.3xInglourious Basterds
2009
#555.3xPulp Fiction
1994
#565.0xThe Truman Show
1998
#574.9xEternal Sunshine of the Spotless Mind
2004
#584.6xFight Club
1999
#594.3xThe Shawshank Redemption
1994
#604.3xThe Matrix
1999
#614.0xThe Dark Knight
2008
#623.6xInception
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 Maniac consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Maniac 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.