1.2M Assets Tracked Updated 6 min ago Revenue Forecasts
Create Account Sign In
Home
MECHANICAL TECH HINDI icon

How much does MECHANICAL TECH HINDI earn?

YouTube channel from @mechanicaltechhindi · YouTube Channels

✓ Verified MRR ★ 3.1 · 1.6M +2057.5% MoM Free

~222/mo

Founder-verified via Stripe Connect or App Store Connect.

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

At a glance

MECHANICAL TECH HINDI's revenue trajectory

Forecast revenue from snapshot history. Last 20 months.

Where MECHANICAL TECH HINDI sits in YouTube Channels

Revenue distribution of 685093 comparable apps. MECHANICAL TECH HINDI highlighted.

MECHANICAL TECH HINDI vs comparable apps

Revenue trajectory side-by-side. Bold = MECHANICAL TECH HINDI, ghosted = peers.

App spec

Launched
May 06, 2026
Price
Free
Monetization
Free

What MECHANICAL TECH HINDI actually does (from store listing)

The wait is finally over. I am here with YouTube's very first Automobile and Mechanical Engineering Channel in HINDI. In this channel i will upload videos related to automobile and mechanical engineering topics such as Engine, I C engine, cars, bikes, suspension, transmission, steering, clutch, gear, Production, HMT, Thermodynamics, FM, CAD/CAM etc. So subscribe my channel and learn everyday Email me : mechanicaltechhindi@gmail.com

Comparable YouTube channels

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

AppRevenueRatingRatings
Gromek999 icon Gromek999 222 ★ 2.8 397K
Cashmere Dairies  icon Cashmere Dairies 222 ★ 2.4 60K
Sanka Dineth icon Sanka Dineth 222 ★ 2.6 187K
DHIREN RANDHEJA OFFICIAL icon DHIREN RANDHEJA OFFICIAL 222 ★ 2.8 345K
Conner's Cafe icon Conner's Cafe 222 ★ 3.0 947K
Own MECHANICAL TECH HINDI? 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 MECHANICAL TECH HINDI'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 →