You Kill Me
2007 · 90 min · Director: John Dahl
Show plot summary (may contain spoilers)
Frank Falenczyk loves his job. He just happens to be the hitman for his Polish mob family in Buffalo, New York. But Frank's got a drinking problem and when he messes up a critical assignment that puts the family business in peril, his uncle sends him to San Francisco to clean up his act. Frank is not a touchy-feely kind of guy, but he starts going to AA meetings, gets a sponsor and a job at a mortuary where he falls for the tart-tongued Laurel, a woman who is dangerously devoid of boundaries. Meanwhile, things aren't going well in Buffalo where an upstart Irish gang is threatening the family business. When violence erupts, Frank is forced to return home and with an unlikely assist from Laurel, faces old rivals on new terms.
Emotional fingerprint
You Kill Me (2007) — Movie. Top emotional signals: Humor 30%, Love 25%, Anger 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Humor30%
- Love25%
- Anger20%
- Excitement15%
- Satisfaction10%
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, Love, Anger. Genres: Comedy, Romance, Crime. AI estimate.
Is it worth watching?
Consider this title if you are looking for Humor, Love and Anger. Its IMDb rating of 6.4/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 66/100.
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
- Tension
- Humor
- Sadness
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Tension
Dominant emotion: Sadness
Dominant emotion: Humor
Dominant emotion: Disturbing
Dominant emotion: Love
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Tension | Humor | Sadness |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 2′ | Tension | 35 % | 30 % | 20 % | 17 % |
| 7.5 % | ≈ 7′ | Tension | 39 % | 33 % | 23 % | 23 % |
| 12.5 % | ≈ 11′ | Sadness | 36 % | 26 % | 23 % | 21 % |
| 17.5 % | ≈ 16′ | Humor | 34 % | 20 % | 29 % | 16 % |
| 22.5 % | ≈ 20′ | Humor | 39 % | 20 % | 39 % | 14 % |
| 27.5 % | ≈ 25′ | Humor | 45 % | 24 % | 40 % | 13 % |
| 32.5 % | ≈ 29′ | Disturbing | 49 % | 28 % | 39 % | 15 % |
| 37.5 % | ≈ 34′ | Humor | 49 % | 23 % | 44 % | 20 % |
| 42.5 % | ≈ 38′ | Humor | 48 % | 21 % | 44 % | 24 % |
| 47.5 % | ≈ 43′ | Disturbing | 49 % | 28 % | 40 % | 23 % |
| 52.5 % | ≈ 47′ | Humor | 54 % | 31 % | 41 % | 18 % |
| 57.5 % | ≈ 52′ | Disturbing | 55 % | 31 % | 40 % | 18 % |
| 62.5 % | ≈ 56′ | Love | 50 % | 34 % | 38 % | 23 % |
| 67.5 % | ≈ 61′ | Tension | 51 % | 45 % | 35 % | 23 % |
| 72.5 % | ≈ 65′ | Tension | 63 % | 59 % | 24 % | 31 % |
| 77.5 % | ≈ 70′ | Sadness | 73 % | 66 % | 16 % | 51 % |
| 82.5 % | ≈ 74′ | Tension | 69 % | 64 % | 20 % | 49 % |
| 87.5 % | ≈ 79′ | Tension | 64 % | 60 % | 21 % | 31 % |
| 92.5 % | ≈ 83′ | Love | 65 % | 52 % | 24 % | 20 % |
| 97.5 % | ≈ 88′ | Love | 63 % | 40 % | 28 % | 12 % |
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 ↗
Afterward 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
Man in park
Kevin
Henry
Sales Clerk (as Tracy McMahon)
Details
- Directed by
- John Dahl
- Written by
- Christopher Markus, Stephen McFeely
- Type
- Movies
- Released
- 2007
- Runtime
- 90 min
- Country
- United States
- Ratings
- Feels mostly
- Humor
- Data updated
Where to watch
Subscription
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.
