What is Dhammanet's rating?

Dhammanet is rated 2.0 stars across 8,300 ratings on the YouTube.

Dhammanet is published by @dhammanet, launched on May 07, 2026.

Where does Dhammanet rank in its category?

Dhammanet ranks #240855 of 685093 apps in YouTube Channels, putting it in the top 35.2% by revenue.

How much does Dhammanet earn?

Q: How much does Dhammanet earn?

Dhammanet earns approximately 3 per month based on founder-verified MRR, calibrated against 685093 comparable YouTube channels in YouTube Channels.

YouTube channel from @dhammanet · YouTube Channels

✓ Verified MRR ★ 2.0 · 8K Free

~3/mo

Founder-verified via Stripe Connect or App Store Connect.

Confidence band

±15%

High — many comparable apps with verified data

At a glance

Earns 3.18× more than the category median (1/mo).
Ranks #240,855 of 685,093 in YouTube Channels (top 35.2% by revenue).
Launched May 07, 2026.

Dhammanet's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Dhammanet sits in YouTube Channels

Revenue distribution of 685093 comparable apps. Dhammanet highlighted.

Dhammanet vs comparable apps

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

App spec

Launched

May 07, 2026

Price

Free

Monetization

Free

What Dhammanet actually does (from store listing)

Dhammanet is a repository of inspiring and enlightening discourses by respected scholars, Buddhist monks and philosophers. Dhammanet grew out of a collection of talks given by Bhante Sujato, former Abbot of Santi Forest Monastery in Bundanoon, Sydney, Australia.

Comparable YouTube channels

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

App	Revenue	Rating	Ratings
Camino Al Terror	3 ✓	★ 2.0	9K
TopNewElectro	3 ✓	★ 1.0	81
seriesjr2.0	3 ✓	★ 1.5	842
thinkinfinnish	3 ✓	★ 1.5	953
Smile Makers Collection	3 ✓	★ 1.4	501

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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 Dhammanet's tracker page for current rating, reviews and snapshot timeline.

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