Founder-verified via Stripe Connect or App Store Connect.
Confidence band
±15%
High — many comparable apps with verified data
At a glance
Earns 2.53× more than the category median (1/mo).
Ranks #258,102 of 685,093 in YouTube Channels (top 37.7% by revenue).
Launched May 06, 2026.
📈 Computer Graphics at TU Wien's revenue trajectory
Forecast revenue from snapshot history. Last 1 months.
🏆 Where Computer Graphics at TU Wien sits in YouTube Channels
Revenue distribution of 685093 comparable apps. Computer Graphics at TU Wien highlighted.
📊 Computer Graphics at TU Wien vs comparable apps
Revenue trajectory side-by-side. Bold = Computer Graphics at TU Wien, ghosted = peers.
App spec
Launched
May 06, 2026
Price
Free
Monetization
Free
What Computer Graphics at TU Wien actually does (from store listing)
Our group performs extensive fundamental and applied research in computer graphics. Our areas of expertise are modeling and rendering for computer graphics, visualization, visual computing, virtual environments, and color. Besides our research projects, we specialize in consulting and technology transfer as well as computer graphics related education on both undergraduate and graduate level.
This channel is used for providing some of our lectures and presentation of our research.
TU Wien
Insti…
Our group performs extensive fundamental and applied research in computer graphics. Our areas of expertise are modeling and rendering for computer graphics, visualization, visual computing, virtual environments, and color. Besides our research projects, we specialize in consulting and technology transfer as well as computer graphics related education on both undergraduate and graduate level.
This channel is used for providing some of our lectures and presentation of our research.
TU Wien Institute of Visual Computing & Human-Centered Technology Favoritenstr. 9-11 / E193-02 A-1040 Vienna Austria - Europe
Comparable YouTube channels
The five apps in YouTube Channels with the closest revenue to Computer Graphics at TU Wien. Click any to see its detail page.
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 Computer Graphics at TU Wien's tracker page for current rating, reviews and snapshot timeline.
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