What is Professor Algacir Portela's rating?

Professor Algacir Portela is rated 1.7 stars across 2,200 ratings on the YouTube.

Who makes Professor Algacir Portela?

Professor Algacir Portela is published by @algacirportela, launched on May 06, 2026.

Where does Professor Algacir Portela rank in its category?

Professor Algacir Portela ranks #321377 of 685093 apps in YouTube Channels, putting it in the top 46.9% by revenue.

How much does Professor Algacir Portela earn?

Q: How much does Professor Algacir Portela earn?

Professor Algacir Portela earns approximately 1 per month based on founder-verified MRR, calibrated against 685093 comparable YouTube channels in YouTube Channels.

YouTube channel from @algacirportela · YouTube Channels

✓ Verified MRR ★ 1.7 · 2K Free

~1/mo

Founder-verified via Stripe Connect or App Store Connect.

Confidence band

±15%

High — many comparable apps with verified data

At a glance

Tracks close to the YouTube channel category median (1/mo).
Ranks #321,377 of 685,093 in YouTube Channels (top 46.9% by revenue).
Launched May 06, 2026.

Professor Algacir Portela's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Professor Algacir Portela sits in YouTube Channels

Revenue distribution of 685093 comparable apps. Professor Algacir Portela highlighted.

Professor Algacir Portela vs comparable apps

Revenue trajectory side-by-side. Bold = Professor Algacir Portela, ghosted = peers.

App spec

Launched

May 06, 2026

Price

Free

Monetization

Free

Comparable YouTube channels

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

App	Revenue	Rating	Ratings
Kitten	1 ✓	★ 1.1	190
JOE GIBS	1 ✓	★ 1.4	547
MASTER MILAN	1 ✓	★ 2.5	105K
LasVegasBarbie	1 ✓	★ 2.6	146K
HarmoChopin Cours de Musique	1 ✓	★ 2.0	12K

Own Professor Algacir Portela? 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 Professor Algacir Portela's tracker page for current rating, reviews and snapshot timeline.

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