
If You Like Post Grad(2009)
Based on real preference data from thousands of voters, here's what fans of Post Grad also love.
100 connections found
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#2868xConfessions of a Teenage Drama Queen
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#3066xThe Wedding Planner
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#3366xJust Like Heaven
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#3465xIt's a Boy Girl Thing
2006
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#3663xMonte Carlo
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#3762xMaid in Manhattan
2002
#3862xTwo Weeks Notice
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#3962xThe Sisterhood of the Traveling Pants
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#4060xThe Bounty Hunter
2010Life as We Know It
2010
#4258xAnother Cinderella Story
2008
#4356xConfessions of a Shopaholic
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#4456xLeap Year
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#4555xThe Lizzie McGuire Movie
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#4654xShe's All That
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#4754xBride Wars
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#4853xCheaper by the Dozen
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#4953xWhat Happens in Vegas
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#5052xDefinitely, Maybe
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#5251xAquamarine
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#5351xWhat a Girl Wants
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#5450xThe Other Woman
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#5550xBeastly
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#5650xNo Strings Attached
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#5749xTwo Night Stand
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#5849xLetters to Juliet
2010
#5949xCharlie St. Cloud
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#6049xThe House Bunny
2008
#6148xThe Ugly Truth
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#6247xHe's Just Not That Into You
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#6347xThe Lucky One
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#6446xThe Princess Diaries 2: Royal Engagement
2004
#6546xJohn Tucker Must Die
2006
#6646xThe First Time
2013
#6745xJust Go with It
2011
#6843xWild Child
2008
#6939xDear John
2010
#7039x27 Dresses
2008Bring It on
2000
#7239xThe Vow
2012
#7339xA Cinderella Story
2004
#7438xNever Been Kissed
1999
#7537xElla Enchanted
2004
#7636xThe Last Song
2010
#7736xHow to Lose a Guy in 10 Days
2003
#7835x17 Again
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#7935xMiss Congeniality
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#8035xShe's the Man
2006
#8133xThe DUFF
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#8233xFreaky Friday
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#8333xThe Parent Trap
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#8432xFriends with Benefits
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#8531xThe Proposal
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#8630x13 Going on 30
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#8728xThe Holiday
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#8827xThe Princess Diaries
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#8927xLegally Blonde
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#9024x50 First Dates
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#9123xPitch Perfect
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#9223xThe Devil Wears Prada
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#9317xClueless
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#9416xThe Fault in Our Stars
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#9515x10 Things I Hate About You
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#9615xEasy A
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#9714xThe Notebook
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#9812xMean Girls
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#999.2xThe Perks of Being a Wallflower
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#1006.7xThe Hunger Games
2012How 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 Post Grad consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Post Grad 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.