What is Silvia Degani's rating?

Silvia Degani is rated 1.4 stars across 512 ratings on the YouTube.

Who makes Silvia Degani?

Silvia Degani is published by @silviadegani, launched on May 06, 2026.

Where does Silvia Degani rank in its category?

Silvia Degani ranks #285397 of 685093 apps in YouTube Channels, putting it in the top 41.7% by revenue.

How much does Silvia Degani earn?

Q: How much does Silvia Degani earn?

Silvia Degani earns approximately 2 per month based on founder-verified MRR, calibrated against 685093 comparable YouTube channels in YouTube Channels.

YouTube channel from @silviadegani · YouTube Channels

✓ Verified MRR ★ 1.4 · 512 Free

~2/mo

Founder-verified via Stripe Connect or App Store Connect.

Confidence band

±15%

High — many comparable apps with verified data

At a glance

Earns 1.83× more than the category median (1/mo).
Ranks #285,397 of 685,093 in YouTube Channels (top 41.7% by revenue).
Launched May 06, 2026.

Silvia Degani's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Silvia Degani sits in YouTube Channels

Revenue distribution of 685093 comparable apps. Silvia Degani highlighted.

Silvia Degani vs comparable apps

Revenue trajectory side-by-side. Bold = Silvia Degani, ghosted = peers.

App spec

Launched

May 06, 2026

Price

Free

Monetization

Free

What Silvia Degani actually does (from store listing)

info e contatti: silviadegani@me.com

Comparable YouTube channels

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

App	Revenue	Rating	Ratings
Online Shopping guide	2 ✓	★ 1.5	1K
Nicesouris (Magali TheMouse)	2 ✓	★ 1.9	6K
Emisoras Unidas	2 ✓	★ 2.1	20K
Boss Yimz	2 ✓	★ 1.8	5K
maths-s première	2 ✓	★ 1.4	809

Own Silvia Degani? 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 Silvia Degani's tracker page for current rating, reviews and snapshot timeline.

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