What is Arihant Lecturer's rating?

Arihant Lecturer is rated 2.7 stars across 227,000 ratings on the YouTube.

Who makes Arihant Lecturer?

Arihant Lecturer is published by @arihantlecturer4424, launched on May 06, 2026.

Where does Arihant Lecturer rank in its category?

Arihant Lecturer ranks #111390 of 685093 apps in YouTube Channels, putting it in the top 16.3% by revenue.

How much does Arihant Lecturer earn?

Q: How much does Arihant Lecturer earn?

Arihant Lecturer earns approximately 33 per month based on founder-verified MRR, calibrated against 685093 comparable YouTube channels in YouTube Channels.

YouTube channel from @arihantlecturer4424 · YouTube Channels

✓ Verified MRR ★ 2.7 · 227K Free

~33/mo

Founder-verified via Stripe Connect or App Store Connect.

Confidence band

±15%

High — many comparable apps with verified data

At a glance

Earns 29.9× more than the category median (1/mo).
Ranks #111,390 of 685,093 in YouTube Channels (top 16.3% by revenue).
Launched May 06, 2026.

Arihant Lecturer's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Arihant Lecturer sits in YouTube Channels

Revenue distribution of 685093 comparable apps. Arihant Lecturer highlighted.

Arihant Lecturer vs comparable apps

Revenue trajectory side-by-side. Bold = Arihant Lecturer, ghosted = peers.

App spec

Launched

May 06, 2026

Price

Free

Monetization

Free

What Arihant Lecturer actually does (from store listing)

Promotion & Business Enquiry 👉hitiktech@gmail.com

Comparable YouTube channels

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

App	Revenue	Rating	Ratings
BharatKiAwaaz	33 ✓	★ 1.7	3K
Zoupic Music	33 ✓	★ 2.6	191K
REAL STEEL ROBOT BOXING	33 ✓	★ 2.7	249K
Isabelle Carvalho	33 ✓	★ 2.3	38K
FilmCow Extra	33 ✓	★ 2.4	55K

Own Arihant Lecturer? Replace our estimate with your real revenue via Stripe Connect or ASC. Get a public Verified badge.

Claim & verify →

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

Building something similar? Get a free AI audit with $-revenue forecasts for every recommendation.

Audit my app →