Music lovers often juggle multiple apps to identify and track songs—Shazam for discovering new tracks and Last.fm for logging listening history. Unfortunately, manually transferring Shazam discoveries to Last.fm is time-consuming and inconvenient. A simple tool could bridge this gap by automating the process, making music tracking seamless.

The Gap and Opportunity

While platforms like Last.fm support scrobbling from streaming services (Spotify, Apple Music), they lack a way to automatically incorporate songs identified by Shazam. This forces users to manually add tracks, which can lead to missed entries or errors. A dedicated tool could eliminate this friction, benefiting both casual listeners who want convenience and dedicated Last.fm users who seek accuracy.

How It Could Work

One approach might involve a standalone app that connects to both Shazam and Last.fm. Users would authenticate both accounts, and the app would:

• Detect songs via Shazam’s API
• Push identified tracks to Last.fm as scrobbles
• Log errors for manual review if Last.fm doesn’t recognize a track

Alternatively, Shazam or Last.fm could adopt this as a built-in feature. A lightweight MVP might focus solely on real-time scrobbling, with potential expansions like batch processing older Shazam history.

Why It Could Succeed

This idea fills a specific niche not addressed by existing tools. While apps like SongShift transfer playlists between streaming services, none specialize in Shazam-to-Last.fm automation. Early adopters—particularly active Last.fm users—could drive organic growth through music communities and forums.

For stakeholders, Last.fm benefits from more accurate data, while Shazam gains deeper engagement. If successful, this could even pave the way for direct integration into either platform.