A major milestone for SanYia Hill: the channel has 187.4 million lifetime views, 24.9 million hou...

A major milestone for SanYia Hill: the channel has 187.4 million lifetime views, 24.9 million hou...A major milestone for SanYia Hill: the channel has 187.4 million lifetime views, 24.9 million hou...

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Willson Mhende

• 16h

A major milestone for SanYia Hill: the channel has 187.4 million lifetime views, 24.9 million hours of watch time, and 349.1K subscribers.

YouTube Creation Make

Rajveer Gohil

• Sep 19

I uploaded this on Instagram, doing a before-and-after edit comparison, showcasing how I turned a raw talking-head footage into an engaging one, and the results were 250k+ views on my personal Instagram.

Adobe After Effects Motion Design Sound Design

Mykola Malyhin

pro

• Sep 19

That transformation earned the views.

Franko Perez

pro

• Sep 17

1m+ views in 48 hours for a 33s b2b video.

most people say you must show the ui in second 1 or you lose the audience. reception.ai spent 13 seconds on the problem alone—and it worked.

broke down the pacing, retention loops, and why this converts below 👇

Rohan Ahmed

pro

• Sep 19

The light-to-dark break after the problem stretch is a real retention reset, not just a style change. And the paid-vs-organic note is the useful part — 13 seconds can earn the setup here, but cold ads would want the demo much sooner.

Vince Fudzie

• Sep 19

Freelance editor, YouTube documentary series (5-7 min). You get clean narration audio, a numbered shot sheet, pre-graded visuals, and a score cut to our arc. Job: narration-led rough cut, burned-in captions, light audio leveling, spot-fix color only if a shot looks off, adjust duration for pacing -- content/order locked. Cut on emotional beats, vary rhythm, use real silence. ~2 wks post-publish, check retention graph, share pacing notes. One revision included. Share samples, turnaround, rate.

Looking for: strong sense of rhythm and restraint, comfort scoring to picture, attention to detail. Please share 1-2 samples of narration-driven work, your turnaround per episode, and your rate. Retention-informed pacing.— reviewing YouTube Studio's audience-retention graph and adjusting pacing on future cuts in response, not just cutting to a spec and moving on. This should be a feedback loop, not a one-time task.

Every AI-narrated Bible channel out there currently looks and sounds the same, and we want to break that mold — our narrator already reads edgier than the norm and I believe our shots feel different too. We want to lean into that on purpose without losing any retention structure. I’m also sending over a recorded script and some shots for your review.