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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 GIRL HELL 1999 by femtanyl

A hyper‑charged, dystopic rush of rebellious energy that feels like a night‑time sprint through a neon‑lit cyber‑underground.

  1. The Matrix (1999): A high‑octane digital rebellion against a simulated reality, matching the song’s cyber‑punk aggression.
  2. Run Lola Run (1998): Relentless, pulse‑pounding pacing and frantic urban chase echo the track’s breakneck energy.
  3. Akira (1988): Post‑apocalyptic neon Tokyo and biker‑gang chaos capture the song’s dystopic, high‑speed feel.
  4. Trainspotting (1996): Gritty working‑class rebellion and rave‑scene soundtrack align with the track’s raw, edgy vibe.
  5. Kids (1995): A stark look at reckless youth culture and urban decay mirrors the song’s confrontational attitude.
  6. Blade Runner 2049 (2017): Futuristic neon wasteland and existential dread complement the track’s digital‑nightmare atmosphere.
  7. Mr. Robot (2015): Hacker‑culture rebellion and a gritty techno‑soundscape echo the song’s cyber‑anarchic spirit.

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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