What is Emacs NYC's rating?

Emacs NYC is rated 1.2 stars across 266 ratings on the YouTube.

Emacs NYC is published by @emacsnyc3654, launched on May 06, 2026.

Where does Emacs NYC rank in its category?

Emacs NYC ranks #296236 of 685093 apps in YouTube Channels, putting it in the top 43.2% by revenue.

How much does Emacs NYC earn?

Q: How much does Emacs NYC earn?

Emacs NYC earns approximately 1 per month based on founder-verified MRR, calibrated against 685093 comparable YouTube channels in YouTube Channels.

YouTube channel from @emacsnyc3654 · YouTube Channels

✓ Verified MRR ★ 1.2 · 266 Free

~1/mo

Founder-verified via Stripe Connect or App Store Connect.

Confidence band

±15%

High — many comparable apps with verified data

At a glance

Earns 1.61× more than the category median (1/mo).
Ranks #296,236 of 685,093 in YouTube Channels (top 43.2% by revenue).
Launched May 06, 2026.

Emacs NYC's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Emacs NYC sits in YouTube Channels

Revenue distribution of 685093 comparable apps. Emacs NYC highlighted.

Emacs NYC vs comparable apps

Revenue trajectory side-by-side. Bold = Emacs NYC, ghosted = peers.

App spec

Launched

May 06, 2026

Price

Free

Monetization

Free

What Emacs NYC actually does (from store listing)

A community of Emacs and lambda enthusiasts that meet to talk about Emacs and Emacs adjacent topics.

Comparable YouTube channels

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

App	Revenue	Rating	Ratings
MGTOW MEN	1 ✓	★ 1.0	28
MOVIE COLLECTIONS 2024	1 ✓	★ 3.0	945K
zikurat	1 ✓	★ 2.6	143K
CLB Animation	1 ✓	★ 2.6	130K
Sylvia Ivankovic	1 ✓	★ 1.3	342

Own Emacs NYC? 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 Emacs NYC'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 →