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General

Me V/S Me

General · EN

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About this Podcast:

Welcome to Me V/S Me , the true crime podcast where we unravel horrifying tales of crime while wondering aloud why humanity just can’t seem to get it together. Is it really that hard to find a hobby that doesn’t involve dismemberment? Spoiler alert: every criminal here thought they’d get away with it. Spoiler alert #2: they didn’t. Join me as we dive into cases that make you question humanity, dissect the emotional chaos behind heinous acts, and ask the ultimate question: Why commit a crime when the ending is almost always an orange jumpsuit and a lifetime of regret? If you came here for hate, you’re in the wrong place. This is your safe space for dark humor, introspection, and just a pinch of hope that love might eventually save us all...

Pitch Analysis

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Contact path

Public web form

Booking probability

36%

Guest openness

Selective

80/100
Required Score

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Questions about Me V/S Me

What is Me V/S Me about?

Welcome to Me V/S Me, the true crime podcast where we unravel horrifying tales of crime while wondering aloud why humanity just can’t seem to get it together. Is it really that hard to find a hobby that doesn’t involve dismemberment? Spoiler alert: every criminal here thought they’d get away with it. Spoiler alert: they didn’t.

How hard is it to get booked on Me V/S Me?

Booking probability for Me V/S Me is 36%, and the host is rated Selective on guests. Me V/S Me requires a Pod Score of 80 or higher. Me V/S Me's contact route on record: public web form.

About the host

Me V/S Me is a general podcast.

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Recent episodes

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

  • Dec 8, 202427 minS0

    <p>Step into the shadows of Zama, Japan, as we unravel the chilling case of Takahiro Shiraishi, the "Twitter Killer." What started as a missing person investigation led to the shocking discovery of a macabre scene—a...

Best industries to pitch Me V/S Me for

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Industry fit is computed by PitchCentric using vector embeddings of the podcast's episode catalog.

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