Comedy & skits Creators on YouTube: 73 Indexed

This is the pool of Comedy & skits creators on YouTube within Entertainment — 73 of them. The narrower the niche, the higher the reply rate; searching broadly for "Entertainment creators" usually spends budget on audiences that do not overlap yours.

How this slice differs from the index as a whole

• Median following is 127,000, 19.6× the index-wide median of 6,482 — expect higher rate cards.
• 16% publish an email or IM handle against 7% index-wide — easier to reach directly than average.
• 30% have recent content captured for judgement versus 41% overall — confidence here is lower than average, so pair it with manual review.

How to read these numbers: this covers creators indexed and validated inside Koinon Link, not every creator on the platform. Suspected bought-follower accounts are quarantined and excluded from the table above (shown separately). The authenticity score is our own anomaly detection over follower/engagement structure, not a platform-official metric. Figures update as collection continues.

Creators in this slice

• @SSSniperWolf — Viral food trends and recipes

• Mobile Gamer YT (@Mobile_Gamer) — Funny everyday incidents and human behavior

• Carter Kench (@CarterKench) — Squishmallows and collectibles

• James Libang (@james_libang13) — Indian mom behaviors

• @clipsofdantes — Dantes funny reactions and moments

• @Cruz — prank and reaction videos

• Tom Cardy (@tomcardy1) — parody songs

• Khalid Attaf (@khalidattaf) — hood gas station encounters

• JasonTheWeen (@JasonTheWeenie) — Streamer pranks and trolling

• Tota Mc (@tota_ofc) — Funny misunderstandings and reactions

Ordered by follower tier, first 10 shown. Each link opens that creator’s public profile: what they post about, who reads it, and recent samples — no contact details.

Top 6 countries

Why this niche deserves its own view

"Comedy & skits" is defined by who the audience is and what job they do, not by what the creator posts about. Two creators can both cover AI tools while their audiences barely overlap — one talks to media buyers who care about creative and bids, the other to engineers who care about APIs and deployment. Searching by topic mixes them together; searching by audience function does not.