
If You Like Last Night in Soho(2021)
Based on real preference data from thousands of voters, here's what fans of Last Night in Soho also love.
52 connections found
#1142xPromising Young Woman
2020
#2140xNope
2022
#376xThe Invisible Man
2020
#467xReady or Not
2019
#562xThe Witch
2016
#642xDune
2021
#737xUs
2019
#835xMidsommar
2019
#934xHereditary
2018
#1034xSplit
2017
#1127xThe Cabin in the Woods
2012
#1225xKnives Out
2019
#1320xGet Out
2017
#1419xA Quiet Place
2018
#1519xIt
2017
#1616xJoker
2019
#1712xBlack Swan
2010
#1811xMemento
2001
#199.2xGone Girl
2014
#209.1xJohn Wick
2014
#218.6xAmerican Psycho
2000
#228.5xThe Shining
1980
#238.1xKill Bill: Vol. 1
2003
#248.0xThe Sixth Sense
1999
#257.3xSe7en
1995
#267.2xWALL·E
2008
#277.0xZombieland
2009
#287.0xThe Silence of the Lambs
1991
#296.6xThe Green Mile
1999
#306.2xJurassic Park
1993
#316.1xDjango Unchained
2012
#326.0xBack to the Future
1985
#335.9xDeadpool
2016
#345.8xShutter Island
2010
#355.7xThe Wolf of Wall Street
2013
#365.5xDonnie Darko
2001
#375.4xThe Truman Show
1998
#385.3xForrest Gump
1994
#394.9xInglourious Basterds
2009
#404.8xThe Prestige
2006
#414.7xIron Man
2008
#424.6xGuardians of the Galaxy
2014
#434.5xThe Lord of the Rings: The Fellowship of the Ring
2001
#444.5xCatch Me If You Can
2003
#454.4xEternal Sunshine of the Spotless Mind
2004
#464.3xPulp Fiction
1994
#474.3xThe Dark Knight
2008
#484.2xFight Club
1999
#494.0xThe Matrix
1999
#503.9xInterstellar
2014
#513.9xThe Shawshank Redemption
1994
#523.8xInception
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 Last Night in Soho consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Last Night in Soho 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.