Traklyst
Traklyst finds the tracklist of a DJ set. You paste a link to a set on YouTube or SoundCloud, and the tracklist is built on the page while the scan runs, with a timestamp for every track.
- Product, Design & Development
- Live tracklist generator
- 2026
- Next.js
- TypeScript
- React
- Tailwind
- shadcn/ui
The brief
Challenge
Finding the tracklist of a DJ set means digging through comments, forums and half-finished lists. Most sets never get one.
Approach
Built as a product from day one: a recognition pipeline that checks published lists against the audio itself, with accounts, plans and a public library around it.
Outcome
Live at traklyst.com. Every scan becomes a public page, and the library keeps growing on its own.
The tracklist
Every track has a timestamp, a mark that says whether the audio confirmed it, and links to Spotify, YouTube, Apple Music, SoundCloud and Beatport. A stretch nobody could name stays in the list as ID.
On a phone
Many sets are listened to on a phone, so the mobile layout was designed alongside the desktop one: timestamp, confirmation and links in one row.
The library
Every scanned set gets a public page. Together they form a library anyone can browse without an account, by genre, DJ or channel.
The result
- 152
- 2,954
- 81%
