Beta

Discover detailed insights for Fantasy Fangirls

Explore comprehensive details for Fantasy Fangirls. Stay informed about your favorite podcasts with accurate and up-to-date statistics.

Description

Two sisters, Nicole and Lexi, dive deep into your favorite fantasy books – talking about lore, characters, insights, and theories of beloved stories. Currently covering A Court of Thorns and Roses by Sarah J. Maas (SPOILERS for the entire ACOTAR series) Every episode, these two sisters cover several chapters of ACOTAR, diving into our Inner Circle Debrief (chapter summaries) before we Step Into The Cauldron with key insights, foreshadowing and theories, then Sip Tea With The Suriel for an in-depth exploration of a lore topic in this fantasy world. New episodes drop every Monday!
Click to toggle description (585 chars)

Similar shows you might like

Émotions : le podcast pour mettre des mots sur vos émotions
Choses à Savoir - Culture générale
FloodCast
Vulgaire
Le Podcast de Pauline Laigneau
Negotiate Anything
The Learning Leader Show With Ryan Hawk
ON TISSE LA TOILE
百靈果 News
You Beauty
Beauty IQ Uncensored
Jst Us
Daily Dad Jokes
The Daily Stoic
The Jordan Harbinger Show
The Fact Hunter
10% Happier with Dan Harris
Affirmations for Black Girls
The Model Health Show
I Can’t Sleep

These shows are linked because they shared similar content.

104 episodes
5 days
01:58:14
Episodes published by month in

Enhance your understanding of Fantasy Fangirls with My Podcast Data

At My Podcast Data, we strive to provide in-depth, data-driven insights into the world of podcasts. Whether you're an avid listener, a podcast creator, or a researcher, the detailed statistics and analyses we offer can help you better understand the performance and trends of Fantasy Fangirls. From episode frequency and shared links to RSS feed health, our goal is to empower you with the knowledge you need to stay informed and make the most of your podcasting experience. Explore more shows and discover the data that drives the podcast industry.
© My Podcast Data