
Fyrno helps music fans find new artists and songs tailored to their tastes. It runs as a mobile app with a machine learning recommender that analyzes listening history and user input to power suggestions. The core technology centers on a personalized discovery feed and social features that show friends' saved songs and playlists. Users swipe to save tracks, add them to a library, and browse friends' public playlists. The product targets individual listeners seeking fresh music and operates as a consumer app with social sharing.

Fyrno helps music fans find new artists and songs tailored to their tastes. It runs as a mobile app with a machine learning recommender that analyzes listening history and user input to power suggestions. The core technology centers on a personalized discovery feed and social features that show friends' saved songs and playlists. Users swipe to save tracks, add them to a library, and browse friends' public playlists. The product targets individual listeners seeking fresh music and operates as a consumer app with social sharing.
Product: Mobile app for music discovery with a machine-learning recommender
Founded: 2016
Status: Closed (listed as closed on public profiles)
Founders: Vlad Vykhodets; Xiuqi (Qi) Cao
Music discovery and personalized recommendations for individual listeners
2016
Data and Analytics
15000 USD
Single funding entry recorded as non-equity assistance on public profile