
Episode #16
Ep.16: le gemelle Pollock
Due bambine muoiono. Due gemelle nascono. Stessi segni sul corpo. Stessi ricordi. Coincidenze… o reincarnazione?

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fiction
Hosted by Akasha Nova 🌙 · fiction · IT-IT · 11 episodes
In un angolo remoto del mondo, dove il confine tra il reale e il soprannaturale svanisce, una strega misteriosa di nome Akasha accoglie il viandante smarrito nella sua casetta di legno incantata. Tra fumi d’incenso e tomi antichi, la strega narra leggende affascinanti e storie oscure, intrecciando magia, esoterismo e segreti dimenticati.➡️ https://vm.tiktok.com/ZNeT7FGSr/Seguimi su Instagram: @akasha_novaSeguimi su Tik Tok : @akasha.novaScrivimi qui: esotericapodcast@outlook.com
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Signup to Generate a PitchESOTERICA - il podcast della strega is a fiction podcast hosted by Akasha Nova 🌙, with 11 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
Akasha Nova 🌙 hosts ESOTERICA - il podcast della strega, a fiction show with 11 episodes published.
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Episode #16
Due bambine muoiono. Due gemelle nascono. Stessi segni sul corpo. Stessi ricordi. Coincidenze… o reincarnazione?

Episode #15
Un passaporto, un nome dimenticato e un Paese che non esiste. Nel 1954 comparve a Tokyo l’Uomo di Taured, e con lui, il dubbio sull’esistenza del multiverso.

Episode #14
Questo episodio è dedicato alla Santa Muerte e ai suoi devoti in tutto il mondo.

ESOTERICA - il podcast della strega
Immagina di vendicarti di chi ti bullizzava a scuola: é proprio quello che succede in questo episodio. Puoi chiamarla vendetta oppure rivincita, lascio a te la scelta.

Episode #12
Nel 1832, Ava lascia l’Andalusia per seguire l’uomo che credeva fosse il suo destino. Ma a Valparaíso scopre che l’amore può tradire, la vita può spezzarsi… e che una strega può rinascere dal dolore. Questa è la sua storia. E il suo giuramento.
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Based on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
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