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Old horror Stories podcast artwork

Fiction

Old horror Stories

Fiction · EN

53 episodesAudience: 4
Website

About this Podcast:

#HorrorStories #ScaryStories #HorrorPodcast #TerrorStories #Creepypasta #GhostStories #Paranormal #TrueHorror #DarkStories #MysteryStories #UrbanLegends #Supernatural #Haunted #NightmareFuel #CreepyTales #ScaryStory #HorrorNarration #Storytelling #AudioDrama #AudioStory #NarratedStories #HorrorCommunity #HorrorFans #HorrorLovers #Creepy #Spooky #Unexplained #DisturbingStories #Suspense #ThrillerStories #DarkMystery #HauntedStories #Cryptids #MonsterStories #PsychologicalHorror #NoSleep #LetsNotMeet #RedditHorror #TrueScaryStories #ScaryPodcast #PodcastRecommendations #PodcastCommunity #PodcastLife #LateNightListening #BedtimeHorror #StoryTime #FictionPodcast #HorrorAddict #ScaryTok #HorrorTok

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

39%

Guest openness

Selective

80/100
Required Score

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Questions about Old horror Stories

What has Old horror Stories covered recently?

Recent episodes include "EPISODE 51 Happy Halloween from the Gas Station” Part#6" (31 August 2026, 7 minutes), "EPISODE 50 Happy Halloween from the Gas Station” Part#5" (31 August 2026, 7 minutes), and "EPISODE 49 Happy Halloween from the Gas Station” Part#4" (16 August 2026, 8 minutes).

How often does Old horror Stories publish?

Old horror Stories publishes roughly daily, with episodes averaging 8 minutes across 53 episodes.

How hard is it to get booked on Old horror Stories?

Booking probability for Old horror Stories is 39%, and the host is rated Selective on guests. Old horror Stories requires a Pod Score of 80 or higher. Old horror Stories's contact route on record: public web form.

About the host

Old horror Stories is a fiction podcast with 53 episodes published.

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Recent episodes

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Best industries to pitch Old horror Stories for

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

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

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