MusicEXP
Substacknewsletter · by MusicEXP · English
- Audience
- 1K subscribers
- Shown publicly on Substack
- Observed frequency
- Weekly
- From 6 posts indexed in the last 90 days
- Last post
- Oct 27, 2026
- 15 days ago
- Likely audience
- gaming enthusiasts
- Inferred from post content
MusicEXP is a Substack newsletter by MusicEXP covering video game soundtracks, licensed music IP in games and artist engagement metrics. NewsletterFIT indexed 6 posts from it in the last 90 days, most recently on Oct 27, 2026. Shown publicly on Substack: 1K subscribers.
Topics
- video game soundtracks
- licensed music IP in games
- artist engagement metrics
- indie game development
- music industry video games
Recent posts
- Game Music…
- Game Music…
- Game Music…
- Peter Broderick’s…
- Game Music…
- Game Music…
Sponsors detected
No sponsored posts detected in the last 180 days of indexed posts.
Detected automatically from posts marked as sponsored. Detection can miss or misread placements.
See the full picture on MusicEXP
Subscriber momentum over time, every detected sponsor with the source post, companies and people it mentions, guests, and an alert when any of it changes.
MusicEXP alternatives: similar newsletters
Ranked by how many topics they share with MusicEXP .
- Post Games7K subscribers
SubstackWeekly · last post 9 days ago
Likely audience: Podcast listeners
1 shared topic
- Blog do Horacio7K subscribers
SubstackEvery two weeks · last post 29 days ago
Likely audience: Game Localization Professionals
1 shared topic
- Eidos Design | Building with AI2K subscribers
SubstackWeekly · last post 9 days ago
Likely audience: designers
1 shared topic
SubstackSeveral times a week · last post 5 days ago
Likely audience: retro gaming enthusiasts
1 shared topic
GhostEvery two weeks · last post 31 days ago
Likely audience: Racing game enthusiasts
1 shared topic
SubstackWeekly · last post 6 days ago
Likely audience: Indie game developers
1 shared topic
Compiled from public pages · refreshed Nov 6, 2026 · How NewsletterFIT collects and labels data
