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COEUR DE ROBOT podcast artwork

comedy

COEUR DE ROBOT

comedy · FR

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About this Podcast:

Voici le tout nouveau podcast de Alexandre Bisaillon et Charles-Antoine Des Granges. Un podcast où technologie rencontre émotion. Les gars... Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

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

34%

Guest openness

Selective

Verified email on file
80/100
Required Score

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Questions about COEUR DE ROBOT

What is COEUR DE ROBOT about?

Voici le tout nouveau podcast de Alexandre Bisaillon et Charles-Antoine Des Granges. Un podcast où technologie rencontre émotion. Les gars... Hébergé par Acast.

What has COEUR DE ROBOT covered recently?

Recent episodes include "CDR Ep.105 - Retour sur Hors Réseau et les défis de Marylène Gendron avec la gestion de ses finances" (29 May 2026, 74 minutes), "CDR Ep.104 - La photographie à l'étranger avec l'artiste multidisciplinaire Drowster" (22 May 2026, 56 minutes), and "CDR Ep.103 - Plonger dans l'histoire familiale de Mike Ward" (15 May 2026, 78 minutes).

How often does COEUR DE ROBOT publish?

COEUR DE ROBOT publishes roughly weekly, with episodes averaging 66 minutes across 105 episodes.

How hard is it to get booked on COEUR DE ROBOT?

Booking probability for COEUR DE ROBOT is 34%, and the host is rated Selective on guests. COEUR DE ROBOT requires a Pod Score of 80 or higher. COEUR DE ROBOT's contact route on record: verified email.

About the host

COEUR DE ROBOT is a comedy podcast with 105 episodes published.

Verified host email: ████████@████.comSign in to unlock →

Recent episodes

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Recent guests

Recent guests on COEUR DE ROBOT. Study who booked and why before you pitch.

Best industries to pitch COEUR DE ROBOT 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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