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Laugh Lens podcast artwork

comedy

Laugh Lens

comedy · EN

Apple PodcastsWebsite

About this Podcast:

A visual and auditory feast where comedians' best moments are captured in pictures and paired with their funniest jokes. Tune in for a unique blend of stand-up and snapshots!

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

22%

Guest openness

Selective

Verified email on file
80/100
Required Score

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Questions about Laugh Lens

What is Laugh Lens about?

A visual and auditory feast where comedians' best moments are captured in pictures and paired with their funniest jokes. Tune in for a unique blend of stand-up and snapshots!

What has Laugh Lens covered recently?

Recent episodes include "UNLEASH ANY AI MODEL WITH AVOBOT'S FLAT-RATE API, SWAP GPT-4O, GEMINI & CLAUDE IN A SNAP" (13 April 2025, 11 minutes), "Laugh Till You Cry: 10 Standup Jokes That’ll Break the Internet, Powered by Avonetics.com" (12 April 2025, 13 minutes), and "Hilarious Stand-Up Pics That’ll Make You Snort-Laugh, Powered by Avonetics.com" (9 April 2025, 9 minutes).

How often does Laugh Lens publish?

Laugh Lens publishes roughly a few times a week, with episodes averaging 9 minutes across 52 episodes.

How hard is it to get booked on Laugh Lens?

Booking probability for Laugh Lens is 22%, and the host is rated Selective on guests. Laugh Lens requires a Pod Score of 80 or higher. Laugh Lens's contact route on record: verified email.

About the host

Laugh Lens is a comedy podcast with 52 episodes published.

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

Recent episodes

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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Best industries to pitch Laugh Lens for

Based on semantic analysis of episode topics and host coverage, this podcast is a strong guest fit for executives in:

comedystrong

Industry fit is computed by PitchCentric using vector embeddings of the podcast's episode catalog.

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