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true crime

FEARFEED

Hosted by Amit Mukherjee · true crime · EN-US

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About this Podcast:

FEARFEED explores the darker side of the unknown. From creepy stories and internet rabbit holes to true crime, unsolved mysteries, strange cases, and unsettling encounters, each episode digs deeper into stories that are difficult to explain and even harder to forget.

Pitch Analysis

Required Pod Score for this podcast. PitchCentric checks your profile against host openness, topical fit, and audience signals before you generate a pitch.

Contact path

Public web form

Booking probability

36%

Guest openness

Selective

80/100
Required Score

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Questions about FEARFEED

What is FEARFEED about?

FEARFEED explores the darker side of the unknown. From creepy stories and internet rabbit holes to true crime, unsolved mysteries, strange cases, and unsettling encounters, each episode digs deeper into stories that are difficult to explain and even harder to forget.

Who hosts FEARFEED?

FEARFEED is hosted by Amit Mukherjee. The show has published 22 episodes to date.

What has FEARFEED covered recently?

Recent episodes include "Khait Parvat: The 9 Spirits Who Claimed a Flute Player | Indian Horror Folklore" (19 October 2026, 20 minutes), "Cocaine in Ancient Egyptian Mummies? The Mystery That Could Rewrite History" (18 October 2026, 23 minutes), and "The Stoneman Murders: One Killer, Two Cities?" (16 October 2026, 19 minutes).

How often does FEARFEED publish?

FEARFEED publishes roughly daily, with episodes averaging 24 minutes across 22 episodes.

How hard is it to get booked on FEARFEED?

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

About the host

Amit Mukherjee hosts FEARFEED, a true crime podcast with 22 episodes published.

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Recent episodes

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Best industries to pitch FEARFEED for

Based on semantic analysis of episode topics and host coverage, this podcast is a strong guest fit for executives in:

true crimestrong

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

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