If You Like flcl
Based on real preference data from thousands of voters, here's what fans of flcl also love. Use these connections to discover your next favorite.
89 connections found
samurai champloo
Tôkyô goddofâzâzu
2003
#362xSummer Wars
2009
#450xAkira
2016
#549xPaprika
2007
#646xThe Girl Who Leapt Through Time
2006
#745xGhost in the Shell
2017
#837xThe Animatrix
2003
#928xKiki's Delivery Service
2014
#1023xBattle Royale
2000
#1119xPrincess Mononoke
1997
#1214xMy Neighbor Totoro
1990
#1314xThe Lego Movie
2014
#1413xHowl's Moving Castle
2005
#1512xFantastic Mr. Fox
2009
#1611xSpirited Away
2001
#1710xBlade Runner
1982
#1810xMonty Python and the Holy Grail
1975
#1910xCoraline
2009
#209.9xWatchmen
2009
#219.7xBig Fish
2004El laberinto del fauno
2006
#239.0xFear and Loathing in Las Vegas
1998
#249.0xOffice Space
1999
#258.7x2001: A Space Odyssey
1968
#268.7xAliens
1986
#278.5xDistrict 9
2009
#288.3xAlien
1979
#298.3xMoon
2009
#308.1xScott Pilgrim vs. the World
2010
#318.0xThe Nightmare Before Christmas
1993
#328.0xGhostbusters
1984
#337.9xShaun of the Dead
2004
#347.8xThe Fifth Element
1997
#357.7xBeetlejuice
1988
#367.6xSin City
2005
#377.6xTerminator 2: Judgment Day
1991
#387.4xMulan
1998
#397.2xIndiana Jones and the Last Crusade
1989
#407.1xIndiana Jones and the Temple of Doom
1984
#416.8xHot Fuzz
2007
#426.2xFull Metal Jacket
1987
#435.8xMinority Report
2002
#445.8xThe Shining
1980
#455.8xReservoir Dogs
1992
#465.8xFargo
1996
#475.8xAmerican Psycho
2000
#485.7xHow to Train Your Dragon
2010
#495.7xMad Max: Fury Road
2015
#505.6xThe Lord of the Rings
1978
#515.6xThe Big Lebowski
1998
#525.5xEdward Scissorhands
1990
#535.5xZombieland
2009
#545.4xThe Incredibles
2004
#555.4xLittle Miss Sunshine
2006
#565.3xDonnie Darko
2001
#575.1xSnatch
2001
#585.1xNo Country for Old Men
2007
#595.0xJurassic Park
1993
#605.0xMonsters, Inc.
2001
#614.8xThe Breakfast Club
1985
#624.8xV for Vendetta
2006
#634.8xMen in Black
1997
#644.8xThe Grand Budapest Hotel
2014
#654.7xEternal Sunshine of the Spotless Mind
2004
#664.7xUp
2009
#674.6xRequiem for a Dream
2000
#684.6xThe Lord of the Rings: The Two Towers
2002
#694.5xThe Lord of the Rings: The Fellowship of the Ring
2001
#704.5xThe Avengers
2012
#714.4xThe Lord of the Rings: The Return of the King
2003
#724.3xPulp Fiction
1994
#734.2xInglourious Basterds
2009
#744.1xGuardians of the Galaxy
2014
#754.1xAmerican History X
1998
#764.0xDjango Unchained
2012
#773.9xThe Truman Show
1998
#783.9xThe Matrix
1999
#793.8xBatman Begins
2005
#803.7xIron Man
2008
#813.7xBack to the Future
1985
#823.7xPirates of the Caribbean: The Curse of the Black Pearl
2003
#833.6xThe Dark Knight
2008
#843.5xFight Club
1999
#853.3xThe Silence of the Lambs
1991
#862.9xThe Prestige
2006
#872.7xThe Shawshank Redemption
1994
#882.6xForrest Gump
1994
#892.3xInception
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 flcl consistently tend to also love certain other things. The "strength" score shows how much more likely fans of flcl 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.