1.9M Assets Tracked Updated 11 min ago Revenue Forecasts
Create Account Sign In
Home Optimize
GraphXD: Graphs Across Domains icon

How much does GraphXD: Graphs Across Domains earn?

YouTube channel from @graph-xd · YouTube Channels

✓ Verified MRR ★ 1.4 · 775 Free

~5/mo

Founder-verified via Stripe Connect or App Store Connect.

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

At a glance

GraphXD: Graphs Across Domains's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where GraphXD: Graphs Across Domains sits in YouTube Channels

Revenue distribution of 685093 comparable apps. GraphXD: Graphs Across Domains highlighted.

GraphXD: Graphs Across Domains vs comparable apps

Revenue trajectory side-by-side. Bold = GraphXD: Graphs Across Domains, ghosted = peers.

App spec

Launched
May 06, 2026
Price
Free
Monetization
Free

What GraphXD: Graphs Across Domains actually does (from store listing)

Graphs Across Domains (GraphXD) is a BIDS project, which connects scientists, researchers, and theorists interested in graphs from a variety of fields through seminars and workshops. Graphs (or networks) are composed of vertices connected by edges. They arise in many fields including mathematics, computer science, biology, physics, economics, and sociology.

Comparable YouTube channels

The five apps in YouTube Channels with the closest revenue to GraphXD: Graphs Across Domains. Click any to see its detail page.

AppRevenueRatingRatings
TIRADO RACING icon TIRADO RACING 5 ★ 1.9 6K
Best Acne Treatments 2021 icon Best Acne Treatments 2021 5 ★ 1.9 6K
Alex Oyaque icon Alex Oyaque 5 ★ 1.9 6K
Tara Haynes icon Tara Haynes 5 ★ 2.1 20K
Dial Property icon Dial Property 5 ★ 2.2 24K
Own GraphXD: Graphs Across Domains? 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 GraphXD: Graphs Across Domains'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 →