feeldb

The Babymakers

2012 · 98 min · Director: Jay Chandrasekhar ★ IMDb 5 · 9,119 ratings

Show plot summary (may contain spoilers)

After he flunks a fertility test, a man realizes that the only way he can get his wife pregnant is by robbing a sperm bank to take back the last of the deposits he made there years earlier.

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Emotional fingerprint

The Babymakers (2012) — Movie. Top emotional signals: Humor 35%, Empathy 25%, Love 15%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

35%Humor
15%Love
  1. Humor35%
  2. Love15%

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, Empathy, Love. Genres: Comedy. AI estimate.

Is it worth watching?

Consider this title if you are looking for Humor, Empathy and Love. Its IMDb rating of 5.0/10 suggests a mixed audience reception; consider how well the emotional profile suits you. For these leading emotions, its Feel Score is 56/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Humor
  • Tension
  • Hope

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Humor

Dominant emotion: Tension

Dominant emotion: Joy

Dominant emotion: Hope

Humor
Tension
Hope
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 83 %, then dips around 98 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityHumorTensionHope
2.5 %≈ 2′Humor41 %38 %11 %17 %
7.5 %≈ 7′Humor44 %43 %16 %13 %
12.5 %≈ 12′Humor45 %45 %17 %8 %
17.5 %≈ 17′Humor44 %43 %18 %8 %
22.5 %≈ 22′Humor46 %42 %25 %11 %
27.5 %≈ 27′Humor48 %43 %24 %15 %
32.5 %≈ 32′Humor48 %43 %21 %20 %
37.5 %≈ 37′Humor46 %38 %26 %21 %
42.5 %≈ 42′Humor44 %37 %31 %21 %
47.5 %≈ 47′Humor45 %42 %32 %20 %
52.5 %≈ 51′Humor45 %43 %28 %21 %
57.5 %≈ 56′Humor45 %42 %25 %25 %
62.5 %≈ 61′Humor45 %39 %30 %21 %
67.5 %≈ 66′Humor47 %37 %38 %20 %
72.5 %≈ 71′Humor54 %41 %47 %24 %
77.5 %≈ 76′Tension64 %47 %58 %27 %
82.5 %≈ 81′Tension68 %49 %58 %33 %
87.5 %≈ 86′Humor62 %47 %37 %37 %
92.5 %≈ 91′Joy50 %32 %13 %29 %
97.5 %≈ 96′Hope37 %14 %6 %20 %
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

Olivia Munn

Audrey Macklin

Wood Harris

Darrell

Nat Faxon

Zig-Zag

AT
Aisha Tyler

AT
Aisha Tyler

Karen

CW
Collette Wolfe

CW
Collette Wolfe

Allison

HM
Hayes MacArthur

Hayes MacArthur

Leslie Jenkins

LK
Lindsey Kraft

LK
Lindsey Kraft

Greta

HM
Helena Mattsson

Tanya

PB
Philippe Brenninkmeyer

Dr. Vickery

Jude Ciccolella

Coach Stubbs

TD
Tommy Dewey

Todd

M.C. Gainey

Officer Malloy

JS
Jeanne Sakata

Wanda

MY
Michael Yurchak

Sommelier

SM
Sharon Maughan

Dr. Roberts

Details

Directed by
Jay Chandrasekhar
Type
Movies
Released
2012
Runtime
98 min
Country
United States of America
Genres
Comedy
Ratings
★ IMDb 5 · 9,119 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.