Lovable Realtime centralizes live data and authorization in one layer
Lovable has rolled out Realtime to all users, replacing direct Firestore listeners in the frontend with a service that combines data delivery and access decisions in its Go backend.
AT A GLANCE
Key points
- Lovable Realtime replaced direct Firestore listeners in the frontend.
- Authorization and field visibility are enforced in the Go backend.
- The service combines Firestore and Spanner changes through NATS.
- Lovable reported a peak of 2.06 million concurrent subscriptions.
What is changing?
Lovable said on November 9 that it had deployed its custom Lovable Realtime service to all users. The company replaced an architecture in which the frontend listened directly to Firestore documents with a centralized layer that decides in its Go backend which fields each user may receive.
The service tracks Firestore and Spanner changes through NATS, multiplexes subscriptions over one WebSocket connection, and recomputes a view when data or permissions change. Lovable says the core system was built in 40 hands-on working days and that the gradual rollout finished without a user-facing incident.
During a September 5–October 5 measurement period, the service reached 2.06 million concurrent subscriptions and delivered 2.61 billion data and patch frames in a month. These are Lovable’s own operational measurements. The architecture is designed to let AI app-building teams apply access rules in one place before live data reaches the browser.
Explore the original sources
Source date: 9 November 2026.
Published by AI Radar: 9 Nov 2026, 16:00 (Istanbul, UTC+3).
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