Scaling a streaming platform means far more than adding new songs. A modern product must process millions of user actions, generate relevant recommendations, deliver fast search results, and control infrastructure costs. That was the challenge Evrone helped solve for a large streaming platform with 75M+ tracks.
The service already combined music streaming, podcasts, audiobooks, offline listening, recognition tools, and voice assistant integrations. Evrone joined internal teams to improve both product metrics and engineering efficiency.
🚀 Where Evrone Added Value
1. Recommendation Systems
Evrone ML engineers improved models that understand user behavior. Great recommendations depend on more than genre labels. Systems also analyze:
- repeated plays
- skips after a few seconds
- time of day
- content type
- current mood signals
This created more relevant playlists and better discovery.
2. Retention Without Dark Patterns
Instead of pushing aggressive notifications, Evrone supported habit-based personalization. Users could receive:
- 🎵 a gym playlist
- 🎙️ a commute podcast
- 📚 an evening audiobook
3. LLM Search and SEO
Many tracks share identical names. Traditional search often struggles in that environment. Evrone improved internal search with contextual LLM logic. Evrone also supported automated SEO content for artist and release pages.
🛠 Engineering Work
The platform had legacy services consuming too many resources. Evrone modernized critical systems by rewriting heavy components in Go while preserving expected behavior.
Additional upgrades included:
- splitting monoliths into services
- migrating analytics tools from Rails to Python
- reducing compute waste
- improving maintainability
🤖 AI for Developers
Evrone also helped build internal assistants that can:
- run endpoint tests
- generate reports
- update docs
- assist code reviews
📈 Outcome
✔ 20–30% lower costs
✔ 20% faster performance
✔ improved retention
✔ faster development cycles
Evrone proved that smart engineering can drive growth just as effectively as marketing.
