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Data by JustWatch

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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 Прилепът by Nova Generacia

A cold, brooding lament that drifts between urban alienation and a restless yearning for escape.

  1. Trainspotting (1996): Restless youth in a bleak city, dark humor and a craving to break free mirrors the song’s alienation.
  2. The Lives of Others (2006): Cold surveillance state, oppressive atmosphere and the longing for personal truth echo the track’s mood.
  3. Stalker (1979): A desolate, muted landscape and existential search for meaning match the song’s haunting coldwave texture.
  4. Chernobyl (2019): Bleak, industrial settings and the dread of unseen forces complement the track’s dark, cold aura.
  5. Dark (2017): German noir‑sci‑fi, layered mysteries and a perpetual night‑time mood align with the song’s oppressive feel.
  6. The Bridge (2011): Scandinavian noir, icy atmospheres and tangled personal histories resonate with the track’s cold, introspective vibe.
  7. The Handmaiden (2016): Elegant yet oppressive period drama, hidden rebellion and claustrophobic tension reflect the song’s yearning for escape.

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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