feeldb

She Came to Me

2023 · 102 min · Director: Rebecca Miller, Rebecca Miller ★ IMDb 6 · 10,484 ratings

Show plot summary (may contain spoilers)

Composer Steven Lauddem is plagued by a creative block which leaves him unable to finish the score for his big comeback opera. When his former therapist-turned-wife Patricia suggests he rekindle his creativity by getting lost in the city, Steven sets out in search of inspiration. His epiphany comes after he meets a spirited woman named Katrina and discovers his life has much more potential than he bargained for, or ever could have imagined.

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Emotional fingerprint

She Came to Me (2023) — Movie. Top emotional signals: Humor 30%, Love 25%, Confusion 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

30%Humor
25%Love
  1. Humor30%
  2. Love25%
  3. Joy15%

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, Confusion. Genres: Comedy, Drama, Romance. AI estimate.

Is it worth watching?

Consider this title if you are looking for Humor, Love and Confusion. Its IMDb rating of 6.0/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 62/100.

How did it make you feel?

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Pick up to three · 0/3

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Emotional journey

AI · from subtitlesapproximate
  • Tension
  • Love
  • Humor

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Tension

Dominant emotion: Humor

Dominant emotion: Love

Dominant emotion: Sadness

Tension
Love
Humor
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. Not enough subtitle evidence
Ending hidden

Dominant emotion

Intensity dips around 8 %, then peaks around 57 %, then peaks around 93 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityTensionLoveHumor
2.5 %≈ 3′Tension33 %25 %5 %22 %
7.5 %≈ 8′Humor31 %20 %9 %20 %
12.5 %≈ 13′Love31 %16 %15 %20 %
17.5 %≈ 18′Humor35 %16 %20 %29 %
22.5 %≈ 23′Humor39 %20 %23 %35 %
27.5 %≈ 28′Humor40 %24 %16 %34 %
32.5 %≈ 33′Humor41 %30 %9 %29 %
37.5 %≈ 38′Tension45 %39 %9 %23 %
42.5 %≈ 43′Tension50 %41 %11 %26 %
47.5 %≈ 48′Humor55 %43 %13 %31 %
52.5 %≈ 54′Tension60 %51 %11 %21 %
57.5 %≈ 59′Tension61 %56 %13 %14 %
62.5 %≈ 64′Tension56 %46 %20 %21 %
67.5 %≈ 69′Sadness50 %31 %24 %31 %
72.5 %≈ 74′Sadness49 %31 %20 %32 %
77.5 %≈ 79′Tension50 %40 %20 %29 %
82.5 %≈ 84′Humor50 %35 %29 %25 %
87.5 %≈ 89′Love53 %26 %41 %19 %
92.5 %≈ 94′Love55 %27 %48 %15 %
97.5 %≈ 99′Not enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidence

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

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Cast

Marisa Tomei

Katrina Trento

EE
Evan Ellison

HJ
Harlow Jane

JK
Joanna Kulig

JK
Joanna Kulig

Magdalena Szyskowski

Brian d'Arcy James

Trey Ruffa

JG
Judy Gold

JG
Judy Gold

Susan Shaw

AR
Anthony Roth Costanzo

SH
Samuel H. Levine

SJ
Sue Jean Kim

Sister Henrietta

GE
Gregg Edelman

Duftin Haverford

AM
Aalok Mehta

Anton Gatner

CG
Chris Gethard

Carl

DS
Dale Soules

Aunt Moxie

TB
Tommy Buck

Bartender

GS
George Sheanshang

Harry Schuster

FF
Francesca Faridany

Maxine Haverford

BT
Bryan Terrell Clark

Frank Hall

TT
Tamya Taylor

Tanya

Details

Type
Movies
Released
2023
Runtime
102 min
Country
United Kingdom, United States of America
Ratings
★ IMDb 6 · 10,484 ratings
Feels mostly
Humor
Data updated

Where to watch

Also on

Availability varies by country

Data: JustWatch · Wikidata

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