What is mikelat's rating?

mikelat is rated 2.2 stars across 25,200 ratings on the YouTube.

mikelat is published by @mikelat, launched on May 06, 2026.

Where does mikelat rank in its category?

mikelat ranks #232700 of 685093 apps in YouTube Channels, putting it in the top 34.0% by revenue.

mikelat is stable: ratings volume fell 1.6% over the last 30 days, a useful proxy for cooling demand.

How much does mikelat earn?

Q: How much does mikelat earn?

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

YouTube channel from @mikelat · YouTube Channels

✓ Verified MRR ★ 2.2 · 25K → Stable 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 3.55× more than the category median (1/mo).
Ranks #232,700 of 685,093 in YouTube Channels (top 34.0% by revenue).
Launched May 06, 2026.
24 months of snapshot history tracked.

mikelat's revenue trajectory

Forecast revenue from snapshot history. Last 24 months.

Where mikelat sits in YouTube Channels

Revenue distribution of 685093 comparable apps. mikelat highlighted.

mikelat vs comparable apps

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

App spec

Launched

May 06, 2026

Price

Free

Monetization

Free

What mikelat actually does (from store listing)

Let's plays. I stream though: https://www.twitch.tv/mikelat

Comparable YouTube channels

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

App	Revenue	Rating	Ratings
Kyle Estep	3 ✓	★ 1.0	2
nature tv Lothar Lenz	3 ✓	★ 2.4	52K
Note To Men & Women	3 ✓	★ 2.3	43K
Diwata Man	3 ✓	★ 1.4	627
11onEleven	3 ✓	★ 1.7	3K

Own mikelat? 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 mikelat'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 →