Vibeflow: AI Playlists vs YouTube Music
Revenue, downloads, ratings and category context for two iOS apps. Figures are estimates and should be read as ranges, not exact totals.
Vibeflow: AI PlaylistsMega e Limited - Music
YouTube MusicGoogle - Music| Metric | Vibeflow: AI Playlists | YouTube Music | Readout |
|---|---|---|---|
| Estimated revenue / mo | $*** - opens with trial | $*** - opens with trial | YouTube Music |
| Revenue band | $*** - opens with trial | $*** - opens with trial | Use range + confidence |
| Estimated downloads / mo | $*** - opens with trial | $*** - opens with trial | YouTube Music |
| Download band | $*** - opens with trial | $*** - opens with trial | Use range + confidence |
| Rating | - | 4.77 | YouTube Music |
| Rating count | - | 1.5M | YouTube Music |
| Tracked keywords | — | 7 | YouTube Music |
| Category | Music | Music | Same market |
Which app is bigger?
Vibeflow: AI Playlists and YouTube Music are compared inside Music with monthly revenue, downloads, rating, review volume, keyword footprint, category placement and range context. YouTube Music leads on monthly downloads in the current readout, and YouTube Music wins the revenue readout (the exact figures open with the paid plan), YouTube Music wins demand, YouTube Music has deeper review volume, and YouTube Music has the larger tracked keyword footprint. The better app depends on the job: choose the revenue leader when you need monetization proof, choose the download leader when reach matters, and choose the higher-rated or deeper-reviewed app when market trust is the constraint. Read both ranges rather than only the midpoint, then open the category hub and related collections to see whether this pair is an outlier or a normal category pattern.