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leisure
Hosted by Bea Keller · leisure · DE · 51 episodes
Ich biete euch spannende und unterhaltende Fakten über die Nerd- Kultur,über Karten, Brett-und Rollenspiele, Filme, Serien und Games. Ich freue mich auf euch
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Signup to Generate a Pitchschnell und nerdig is a leisure podcast hosted by Bea Keller, with 51 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.
Bea Keller hosts schnell und nerdig, a leisure show with 51 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
Episode #51
In dieser Folge tauchen wir in die düstere Legende von Nessie ein. Von der Kreidezeit bis zu höchst Moderner Raumfahrttechnik Loch Ness war schon mit dabei. Und wir werfen einen Blick darauf ,warum wir als Gesellschaft in Kriesenzeiten Monster brauchen
Episode #50
Von alten Höhlenkritzeleien bis zu Redewendungen, die wir heute noch benutzen und eine geheimnisvolle Reise zu verschlüsselten Manuskripten, die bis heute niemand vollständig entschlüsseln konnte.
Episode #49
In dieser Folge nehme ich euch mit auf eine spannende Reise in die faszinierende Welt der Oktopoden mit. Wir schauen uns an, warum diese wunderbaren Kreaturen mit ihren drei Herzen und acht Armen doch null Überlebenschancen haben und weshalb wir Unterwasser lvl`s oft so sehr verachten
Episode #48
In dieser Folge erfahrt ihr mehr über die Geschichte hinter Mulan ein, wir sprechen über die Tradition der Lotusfüße und entdecken mit Nüshu eine faszinierende Schrift, die Frauen in China über Generationen hinweg heimlich miteinander verband
Episode #47
In dieser Folge schlagen wir genauer nach, Denn es gibt Bücher die gefährlich, weil sie beißen, andere weil sie Wissen versprechen und dann gibt es Bücher, die allein durch ihr Material verstörend sind
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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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