Cat City
1986 · 96 min · Director: Béla Ternovszky
Show plot summary (may contain spoilers)
In the year 80 AMM (After Mickey Mouse) on planet X the crime-syndicated Cats try to erase the Mouse-population once and for all. A scientist of the mice, prof. Fushimishi seems to have found the weapon against the threat - so Intermouse calls it's best, but now retired agent - Nick Grabowsky - to get the plans. As a distraction for the Cats, they also send a second agent - Seargent Lazy Dick - for the mission.
Your viewing check-in
Emotional fingerprint
Cat City (1986) — Movie. Top emotional signals: Humor 35%, Excitement 25%, Joy 15%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Humor35%
- Excitement25%
- Joy15%
- Surprise15%
- Fear10%
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 Humor, Excitement, Joy. Genres: Comedy, Adventure, Animation. AI estimate.
Is it worth watching?
Consider this title if you are looking for Humor, Excitement and Joy. Its IMDb rating of 8.2/10 suggests a strong audience reception. For these leading emotions, its Feel Score is 74/100.
How did it make you feel?
Votes are saved to the fingerprint once you’re signed in.
Pick up to three · 0/3
Emotional journey
- Humor
- Tension
- Hope
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Tension
Dominant emotion: Humor
Dominant emotion: Relief
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Humor | Tension | Hope |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 2′ | Tension | 53 % | 40 % | 45 % | 25 % |
| 7.5 % | ≈ 7′ | Humor | 55 % | 51 % | 39 % | 18 % |
| 12.5 % | ≈ 12′ | Humor | 53 % | 56 % | 28 % | 14 % |
| 17.5 % | ≈ 17′ | Humor | 51 % | 56 % | 21 % | 18 % |
| 22.5 % | ≈ 22′ | Humor | 53 % | 57 % | 20 % | 16 % |
| 27.5 % | ≈ 26′ | Humor | 53 % | 58 % | 21 % | 8 % |
| 32.5 % | ≈ 31′ | Humor | 59 % | 61 % | 30 % | 3 % |
| 37.5 % | ≈ 36′ | Humor | 64 % | 64 % | 39 % | 4 % |
| 42.5 % | ≈ 41′ | Humor | 59 % | 59 % | 39 % | 4 % |
| 47.5 % | ≈ 46′ | Humor | 57 % | 56 % | 41 % | 4 % |
| 52.5 % | ≈ 50′ | Humor | 61 % | 56 % | 48 % | 6 % |
| 57.5 % | ≈ 55′ | Tension | 63 % | 54 % | 53 % | 5 % |
| 62.5 % | ≈ 60′ | Humor | 64 % | 56 % | 55 % | 5 % |
| 67.5 % | ≈ 65′ | Humor | 66 % | 56 % | 53 % | 18 % |
| 72.5 % | ≈ 70′ | Relief | 70 % | 45 % | 54 % | 30 % |
| 77.5 % | ≈ 74′ | Tension | 76 % | 33 % | 66 % | 31 % |
| 82.5 % | ≈ 79′ | Tension | 80 % | 28 % | 75 % | 34 % |
| 87.5 % | ≈ 84′ | Tension | 78 % | 29 % | 60 % | 45 % |
| 92.5 % | ≈ 89′ | Relief | 73 % | 28 % | 35 % | 57 % |
| 97.5 % | ≈ 94′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
Cinderella
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 ↗
Kadri — your film companion
AIAsk anything about Cat City. From the film’s own dialogue and FeelDB data, at your spoiler level.
Kadri
Hi, I’m Kadri. Ask me anything about Cat City — I’ll stay inside your spoiler line.
Premise onlyAfterward Reveal viewer responses · may contain spoilers
Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.
0 responses so far
Feeling details appear after at least 3 viewers respond, to protect privacy.
Cast
Nick Grabowsky (voice)
Buddy (voice)
Bob Poljakov (voice)
Mr. Gatto (voice)
Lusta Dick (voice)
Edlington (voice)
Chino San (voice)
Pukie (voice)
Billy (voice)
Details
- Directed by
- Béla Ternovszky
- Written by
- József Nepp
- Type
- Animation
- Released
- 1986
- Runtime
- 96 min
- Country
- Hungary, Canada, West Germany
- Ratings
- Feels mostly
- Humor
- Data updated
Where to watch
Subscription
Free
Also on
Availability varies by country
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.





