Resomix Journal

Hear the Invisible

Sound-first intelligence, explained.

Articles, product notes, playlists and technical perspectives on sound-first discovery for labels, distributors, stores and catalogue owners.

// LATEST_TRANSMISSIONS

// Sonic Discovery

By George Kefallinos // 6 min read

How to Find New Techno Music by Sound, Not Just Genre Tags

Genre tags show where a track is filed, not how it sounds. Start with one techno track you love and explore a ranked list of sonically related tracks.

// Electronic Music Playlists

By George Kefallinos // 2 min read

Ambient Music for Sleep: 8 Albums Where Nothing Jumps Out

Looking for ambient music for sleep, no beat, no prominent melody, and no sudden changes? Eight still, drifting albums, and a better way to find more.

// Catalogue Intelligence

By Marco Alessi // 4 min read

How Your Label's Back Catalogue Becomes a Reliable Revenue Stream

Most record labels already make money from their back #catalog. The problem is that this is not done in a systematic way, but rather through random luck: a track resurfaces, streams tick up for a few weeks, then things go quiet again. A back catalogue becomes a reliable revenue stream

// Resomix Stories

By Marco Alessi // 3 min read

The Story Behind Resomix

Authenticity can’t be bought.  Sure, looking at your Instagram feed or TikTok reels, you might think everything can be polished into perfection. More often than not, that’s just a smokescreen, a crafted illusion that rarely holds up under real scrutiny. In music, this is common, but also easy

// Sonic Discovery

By Marco Alessi // 4 min read

Resomix for Music Supervisors and Curators

Not just for DJs: Resomix helps music supervisors and curators find the perfect tracks using sonic DNA mapping and deep audio analysis.

// Resomix Stories

By Marco Alessi // 4 min read

Who is Resomix For

Introducing sound-based discovery for music lovers and professionals.

// Sonic Discovery

By Marco Alessi // 3 min read

Why is Resomix Different?

Beyond metadata: Resomix is the alternative to trend-based algorithms.