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Level Up! podcast artwork

leisure

Level Up!

leisure · ES-ES

150 episodes~130 on YouTube
Apple PodcastsWebsite

About this Podcast:

Level Up! es un podcast de videojuegos en español. Cada semana hablamos de videojuegos, hacemos análisis, damos opinión y debatimos sobre la industria del videojuego. Y nos olvidamos de leer y comentar los comentarios de nuestros mecenas . https://www.podcastlevelup.es

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

Verified email

Booking probability

25%

Guest openness

Selective

Verified email on file
80/100
Required Score

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Questions about Level Up!

What is Level Up! about?

Level Up! es un podcast de videojuegos en español. Cada semana hablamos de videojuegos, hacemos análisis, damos opinión y debatimos sobre la industria del videojuego. Y nos olvidamos de leer y comentar los comentarios de nuestros mecenas.

What has Level Up! covered recently?

Recent episodes include "Especial Metal Gear Solid 3: Snake Eater: #1 La Misión Virtuosa no es un tutorial" (27 August 2025, 64 minutes), "Especial Metal Gear Solid 3: Snake Eater: #1 La Misión Virtuosa no es un tutorial" (27 August 2025, 64 minutes), and "Lo que más y lo que menos nos ha gustado del Opening Night Live + Análisis de Mafia: The Old Country" (22 August 2025, 150 minutes).

How often does Level Up! publish?

Level Up! publishes roughly weekly, with episodes averaging 103 minutes across 150 episodes.

How hard is it to get booked on Level Up!?

Booking probability for Level Up! is 25%, and the host is rated Selective on guests. Level Up! requires a Pod Score of 80 or higher. Level Up!'s contact route on record: verified email.

About the host

Level Up! is a leisure podcast with 150 episodes published.

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Recent episodes

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Best industries to pitch Level Up! 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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