feeldb

Poupelle of Chimney Town

2020 · 100 min · Director: Yûsuke Hirota ★ IMDb 6.4 · 927 ratings

Show plot summary (may contain spoilers)

A factory town is covered by chimney smoke, and as the townspeople haven't see the sky in centuries, they no longer believe that stars exist. A chimney sweep and a friendly monster named Poupelle decide to prove that stars are real.

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Emotional fingerprint

Poupelle of Chimney Town (2020) — Movie. Top emotional signals: Awe 30%, Empathy 25%, Sadness 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

30%Awe
  1. Awe30%
  2. Hope15%
  3. Relief10%

AI estimate · no viewer votes yet

How we measure

AI estimate

Share of emotional signal, not the percentage of people or a probability of enjoyment.

Each viewer contributes one response, split equally across their selected emotions. When available, an automated estimate supplies a prior that is blended with those responses. Counts include distinct viewers, not automated estimates or archived anonymous votes. Fewer than 3 viewers is an early estimate; more responses do not guarantee certainty.

Why it feels this way

The strongest emotional signals are Awe, Empathy, Sadness. Genres: Fantasy, Animation, Family. AI estimate.

Is it worth watching?

Consider this title if you are looking for Awe, Empathy and Sadness. Its IMDb rating of 6.4/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 63/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Hope
  • Sadness
  • Awe

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Humor

Dominant emotion: Hope

Dominant emotion: Tension

Dominant emotion: Sadness

Dominant emotion: Awe

Hope
Sadness
Awe
Emotional journey Emotional intensity over the film’s runtime, from quieter to stronger on a fixed 0–1 scale. Hatched intervals have insufficient subtitle evidence. The table provides the values.
Ending hidden

Dominant emotion

Intensity dips around 3 %, then peaks around 88 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityHopeSadnessAwe
2.5 %≈ 3′Humor38 %5 %5 %13 %
7.5 %≈ 8′Humor48 %5 %4 %10 %
12.5 %≈ 13′Humor57 %11 %5 %6 %
17.5 %≈ 18′Humor55 %24 %10 %5 %
22.5 %≈ 23′Humor49 %32 %14 %5 %
27.5 %≈ 28′Hope53 %34 %18 %8 %
32.5 %≈ 33′Tension61 %39 %24 %11 %
37.5 %≈ 38′Hope65 %44 %39 %10 %
42.5 %≈ 43′Sadness66 %38 %49 %6 %
47.5 %≈ 48′Tension71 %30 %48 %4 %
52.5 %≈ 53′Tension74 %31 %53 %3 %
57.5 %≈ 58′Hope70 %43 %55 %8 %
62.5 %≈ 63′Sadness68 %51 %44 %19 %
67.5 %≈ 68′Hope69 %60 %28 %25 %
72.5 %≈ 73′Hope75 %71 %23 %21 %
77.5 %≈ 78′Hope83 %79 %24 %25 %
82.5 %≈ 83′Hope84 %81 %31 %35 %
87.5 %≈ 88′Hope85 %80 %45 %48 %
92.5 %≈ 93′Awe83 %76 %43 %55 %
97.5 %≈ 98′Hope72 %68 %33 %40 %
Man in a hole

Rags to riches: The emotional tone rises from negative to positive.

Riches to rags: The emotional tone falls from positive to negative.

Man in a hole: The tone falls, then recovers.

Icarus: The tone rises, then falls.

Cinderella: The tone rises, falls, then rises again.

Oedipus: The tone falls, rises, then falls again.

AI reading of the film’s English subtitles (dialogue and sound cues) — not viewer votes. How we measure ↗

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Afterward Reveal viewer responses · may contain spoilers

Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.

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Cast

MK
Masataka Kubota

Poupelle (voice)

MA
Mana Ashida

MA
Mana Ashida

Lubicchi (voice)

SF
Shingo Fujimori

ST
Shinosuke Tatekawa

Bruno (voice)

EK
Eiko Koike

Lola (voice)

SF
Shingo Fujimori

Scopp (voice)

TN
Toru Nomaguchi

Reta XV (voice)

SI
Sairi Itô

Antonio (voice)

SM
Seiji Miyane

Toshiaki (voice)

SO
Shosei Ohira

Dennis (voice)

KI
Kazuki Iio

Sue (voice)

TY
Takaya Yamauchi

Eyepatch (voice)

Jun Kunimura

Dan (voice)

TM
Tony Marot

Details

Directed by
Yûsuke Hirota
Written by
Akihiro Nishino, Akihiro Nishino
Type
Animation
Released
2020
Runtime
100 min
Country
Japan
Ratings
★ IMDb 6.4 · 927 ratings
Feels mostly
Awe
Data updated

Where to watch

Data: JustWatch · Wikidata

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Emotion overlap shows mood similarity, not a prediction of enjoyment.