← All Connections
I Killed My Mother

If You Like I Killed My Mother(2009)

Based on real preference data from thousands of voters, here's what fans of I Killed My Mother also love.

62 connections found

62 connections
Sort by
Tom at the Farm#1279x

Tom at the Farm

2014
Action
66 voters
Laurence Anyways#2262x

Laurence Anyways

2013
Drama
120 voters
Heartbeats#3251x

Heartbeats

2017
Romance
114 voters
Mommy#4161x

Mommy

2014
129 voters
#549x

La piel que habito

2011
Horror
63 voters
#643x

Blue Is the Warmest Colour

2013
89 voters
A Single Man#739x

A Single Man

2010
51 voters
We Need to Talk About Kevin#838x

We Need to Talk About Kevin

2011
101 voters
The Dreamers#938x

The Dreamers

2011
69 voters
Mysterious Skin#1035x

Mysterious Skin

2005
Sci-Fi
62 voters
Frances Ha#1130x

Frances Ha

2013
58 voters
Brokeback Mountain#1228x

Brokeback Mountain

2006
Drama
58 voters
Enter the Void#1325x

Enter the Void

2010
52 voters
Melancholia#1424x

Melancholia

2011
62 voters
Blue Valentine#1521x

Blue Valentine

2011
52 voters
The Lobster#1621x

The Lobster

2015
RomanceSci-Fi
64 voters
Before Sunrise#1718x

Before Sunrise

1995
57 voters
Boyhood#1817x

Boyhood

2014
58 voters
Perfume: The Story of a Murderer#1917x

Perfume: The Story of a Murderer

2007
51 voters
Blue Velvet#2016x

Blue Velvet

1986
55 voters
Dallas Buyers Club#2113x

Dallas Buyers Club

2013
50 voters
Moonrise Kingdom#2212x

Moonrise Kingdom

2012
82 voters
Midnight in Paris#2312x

Midnight in Paris

2011
50 voters
Mr. Nobody#2411x

Mr. Nobody

2013
51 voters
Lost in Translation#2511x

Lost in Translation

2003
78 voters
Psycho#2610.0x

Psycho

1960
52 voters
Her#279.6x

Her

2014
90 voters
Dead Poets Society#289.2x

Dead Poets Society

1989
75 voters
Black Swan#298.4x

Black Swan

2010
81 voters
Into the Wild#308.2x

Into the Wild

2007
68 voters
Big Fish#318.1x

Big Fish

2004
56 voters
Juno#327.9x

Juno

2007
78 voters
The Grand Budapest Hotel#337.9x

The Grand Budapest Hotel

2014
88 voters
Amélie#347.8x

Amélie

2001
88 voters
The Perks of Being a Wallflower#357.7x

The Perks of Being a Wallflower

2012
77 voters
Trainspotting#367.6x

Trainspotting

1996
90 voters
Requiem for a Dream#377.5x

Requiem for a Dream

2000
99 voters
Little Miss Sunshine#387.3x

Little Miss Sunshine

2006
72 voters
Being John Malkovich#396.7x

Being John Malkovich

1999
50 voters
The Shining#406.7x

The Shining

1980
86 voters
American Psycho#416.3x

American Psycho

2000
78 voters
Whiplash#426.2x

Whiplash

2014
61 voters
#436.2x

El laberinto del fauno

2006
Fantasy
52 voters
The Breakfast Club#446.0x

The Breakfast Club

1985
63 voters
Gone Girl#455.8x

Gone Girl

2014
68 voters
Eternal Sunshine of the Spotless Mind#465.8x

Eternal Sunshine of the Spotless Mind

2004
109 voters
(500) Days of Summer#475.7x

(500) Days of Summer

2009
ComedyRomance
56 voters
Edward Scissorhands#485.4x

Edward Scissorhands

1990
62 voters
Spirited Away#495.2x

Spirited Away

2001
67 voters
Donnie Darko#505.2x

Donnie Darko

2001
Thriller
89 voters
The Truman Show#514.2x

The Truman Show

1998
85 voters
American History X#524.2x

American History X

1998
58 voters
The Silence of the Lambs#534.1x

The Silence of the Lambs

1991
Thriller
69 voters
Reservoir Dogs#543.9x

Reservoir Dogs

1992
60 voters
Pulp Fiction#553.8x

Pulp Fiction

1994
98 voters
Inglourious Basterds#563.5x

Inglourious Basterds

2009
Action
63 voters
Django Unchained#573.4x

Django Unchained

2012
55 voters
Fight Club#583.4x

Fight Club

1999
Action
104 voters
Shutter Island#593.2x

Shutter Island

2010
Thriller
58 voters
Catch Me If You Can#603.0x

Catch Me If You Can

2003
50 voters
The Matrix#612.2x

The Matrix

1999
53 voters
Inception#621.9x

Inception

2010
59 voters

How 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 I Killed My Mother consistently tend to also love certain other things. The "strength" score shows how much more likely fans of I Killed My Mother 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.