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Pick a song. Get films that feel like it.

We read a song's mood, themes and setting, then find films with the same feel.

Try

Films and TV shows that feel like WRONG by Chris Grey

A haunting, confessional mood that balances melancholy with a flicker of defiant hope

  1. Moonlight (2016): Both use muted color palettes and intimate storytelling to explore inner loneliness and the quest for identity.
  2. Drive (2011): The synth‑driven soundtrack and nocturnal urban landscape echo the song’s brooding, neon‑lit atmosphere.
  3. Blue Valentine (2010): A raw look at a crumbling relationship mirrors the track’s themes of betrayal and yearning for redemption.
  4. Euphoria (2019): The series’ dark, glossy aesthetic and focus on youthful emotional turbulence align with the song’s mood.
  5. The OA (2016): Its surreal, introspective tone and sense of searching for meaning complement the track’s confessional vibe.
  6. Only God Forgives (2013): The stark, neon‑saturated Bangkok nightscape and minimalist sound design match the song’s cold, reflective feel.
  7. The End of the F***ing World (2017): Its darkly comic, off‑beat take on teenage alienation and moral ambiguity pairs well with the track’s moody R&B.

What a search gives you

Nightcall by Kavinsky, read for its mood and setting, then matched with films and shows.

Nightcall cover art
Song

Nightcall

Kavinsky

A lonely, neon-lit nocturnal drive where a quiet predator-turned-protector offers redemption in a cool, detached whisper.

night drivingurban lonelinessnoir romancehypnotic
See all 8 picks
Drive poster Film 2011 Drive The song's home: a silent driver, neon LA nights, and tender violence. Thief poster Film 1981 Thief Michael Mann's rain-soaked, synth-scored nocturnal crime study of a lone professional. Collateral poster Film 2004 Collateral A taxi ride through LA after dark with an unsettling, magnetic killer. Miami Vice poster TV 1984 Miami Vice The original neon, synth-driven nighttime cool of cars, cops and pastel dread.

How it works

  1. Listen

    We find the exact song on Deezer or the exact film on TMDB, plus listener tags from Last.fm like "post-punk", "road trip" or "melancholy".

  2. Describe

    An AI model turns it into themes, moods, a setting and an era: the things a film and a song can share.

  3. Match

    Those themes become picks that we check against TMDB and Deezer, so every film and song is real.

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