CastRadar
A fandom app that tracks casting rumours and confirmed castings across major franchises (MCU, DC, Star Wars, Bond), with credibility scoring based on source reputation and actor-filmmography pattern matching.
Marvel, DC, Star Wars and Bond fans who obsess over casting news
- Per-franchise feed of rumours, scoops and confirmed castings with credibility badges
- Actor-filmmography explorer highlighting directors, co-stars and genre patterns
- Push alerts when a tracked actor is linked to a franchise you follow
- Annual 'who got away' round-ups (e.g., actors who repeatedly passed, like Adam Driver on Marvel)
Adam Driver's repeated Marvel passes have become a self-aware running joke, and Feige publicly framed it as 'tradition' — perfect moment for fans to track and visualise franchise-casting patterns.
r/MarvelStudios has ~5M members and r/MarvelStudios_Rumours exists as a dedicated rumours sub, but casting rumours are a niche slice of an already-niche fandom and the Adam Driver moment is a meme, not sustained demand.r/MarvelStudios_Rumours - Reddit ↗Free analytics for r/marvelstudios: 5M members ↗
The MULTIxVERSE is a direct web-based competitor with actor directory, news feed, and calendar for Marvel/DC, but no app appears dedicated specifically to casting-rumour aggregation with credibility scoring; myCast.io covers fan-casting only.THE MULTIxVERSE | Marvel, DC & Cinematic Universe Tracker ↗myCast.io — Fan Casting Platform ↗
Search for premium casting-rumour subscriptions returned no results; free scoopers on Twitter/Reddit/YouTube dominate this content and history shows MCU tracking apps struggle to monetize beyond ads.MCU Tracker & Complete Database (GitHub) ↗Fandom Economics: How Superfans Are Rewriting Revenue Models ↗
Casting rumours are event-driven spikes around film announcements; franchise health is uneven (MCU fatigue, Star Wars between cycles, DC in reboot flux), limiting daily-use retention.Marvel Cinematic Universe Wiki | Fandom ↗
A basic tracking UI is straightforward, but the core value prop — credibility scoring of sources and actor-filmmography pattern matching — requires either curated signal (doesn't scale) or ML on source reputation (needs training data); IMDb/filmo APIs exist but the moat is hard.