2.0M Assets Tracked Updated 13 min ago Revenue Forecasts
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How much does PAPAYA earn?

YouTube channel from @papaya8176 · YouTube Channels

✓ Verified MRR ★ 2.5 · 79K +31.3% MoM Free

~358/mo

Founder-verified via Stripe Connect or App Store Connect.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

PAPAYA's revenue trajectory

Forecast revenue from snapshot history. Last 16 months.

Where PAPAYA sits in YouTube Channels

Revenue distribution of 685093 comparable apps. PAPAYA highlighted.

PAPAYA vs comparable apps

Revenue trajectory side-by-side. Bold = PAPAYA, ghosted = peers.

App spec

Launched
May 06, 2026
Price
Free
Monetization
Free

What PAPAYA actually does (from store listing)

Hey, Welcome to Papaya Channel. The YouTube channel you can spend all day to watch hundreds videos about superheroes funny Stuffs. All weirdest, funniest, most hilarious superheroes photos are compiled here. So check our videos of you wanna enjoy the most hilarious photos compilations and weirdest pictures that people have posted on the internet. And we were also first on youtube to make funny texts messages compilations! And new videos are coming everyday. Check this channel and for sure one …
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Comparable YouTube channels

The five apps in YouTube Channels with the closest revenue to PAPAYA. Click any to see its detail page.

AppRevenueRatingRatings
Kawaii Toy Collector icon Kawaii Toy Collector 358 ★ 3.0 1.2M
Audi Obsession icon Audi Obsession 358 ★ 2.4 53K
Brittany Butler Edits icon Brittany Butler Edits 358 ★ 2.1 14K
BamaBass icon BamaBass 358 ★ 3.0 1.1M
Fubeca's Marble Runs icon Fubeca's Marble Runs 358 ★ 3.0 1.1M
Own PAPAYA? Replace our estimate with your real revenue via Stripe Connect or ASC. Get a public Verified badge.
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on PAPAYA's tracker page for current rating, reviews and snapshot timeline.

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