Urgent.News

What's breaking now, across thousands of outlets.

Tech

YOASOBI knows how to go viral. That doesnt mean they make music for TikTok.

YOASOBI's Ayase and Ikura talk "Idol," TikTok, fan culture, and the strange experience of watching a song spread beyond their control.

YOASOBI knows how to go viral. That doesnt mean they make music for TikTok.

While YOASOBI's 2023 hit "Idol," written for the anime Oshi no Ko, may seem like an unlikely candidate for internet success, it quickly became a viral sensation. The song's unique blend of musical styles and vocalist Ikura's ability to switch between voices made it a hit, with over 689 million views on YouTube and 588 million streams on Spotify.

However, the duo's producer and songwriter, Ayase, is not interested in writing specifically for the algorithm. He prefers a more balanced approach, aiming for 60% art and 40% commercial viability in his music. This unique position within the internet-native Japanese pop scene has allowed YOASOBI to create music that transcends boundaries, as seen in their collaboration with Overwatch, where they transformed a short story into a song, animated music video, and in-game content.

Ayase and Ikura may not have had an online childhood, but their relationship with the internet has become an intrinsic part of their music-making process. Their story reflects a broader cultural shift where using the internet to express oneself through music and find collaborators has become commonplace.

Written by urgent.news from Mashable's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at mashable.com →

More in Tech

Implementing n8n whatsapp business api automation with RAG for Accurate Replies

To automate WhatsApp Business API replies using n8n and RAG, you must integrate an LLM node with a vector database reference.

  • Upload FAQ documents to vector database using Embedding node in n8n
  • Split WhatsApp message text, generate semantic vectors for similarity search
  • Retrieve relevant document chunks, feed to LLM for context-aware reply generation

More from Wednesday 16 September →