Design a follower push-notification system

Quick Overview

This question evaluates understanding of designing scalable, reliable push-notification services and related competencies in distributed systems, high-throughput messaging and fan-out strategies, data modeling for follower graphs, rate limiting, user preferences, deduplication, retries, and observability.

Design a follower push-notification system

Company: xAI

Role: Software Engineer

Category: System Design

Difficulty: hard

Interview Round: Online Assessment

Design a notification system for a social product: - When a user publishes a new post, the system should send push notifications to that user’s followers. - Notifications are primarily mobile push (e.g., APNs/FCM), but you may mention extensibility to other channels. Cover: - Core requirements and non-functional goals (latency, reliability, scale). - High-level architecture and main components. - How to handle large fan-out (users with many followers). - Data model / storage choices for follower graph and notification records. - Rate limiting, user preferences (opt-out, quiet hours), deduplication, retries. - Observability and failure handling.

Overview: This question evaluates understanding of designing scalable, reliable push-notification services and related competencies in distributed systems, high-throughput messaging and fan-out strategies, data modeling for follower graphs, rate limiting, user preferences, deduplication, retries, and observability.

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Feb 7, 2026
hardSoftware EngineerOnline AssessmentSystem Design
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Design a notification system for a social product:

  • When a user publishes a new post, the system should send push notifications to that user’s followers.
  • Notifications are primarily mobile push (e.g., APNs/FCM), but you may mention extensibility to other channels.

Cover:

  • Core requirements and non-functional goals (latency, reliability, scale).
  • High-level architecture and main components.
  • How to handle large fan-out (users with many followers).
  • Data model / storage choices for follower graph and notification records.
  • Rate limiting, user preferences (opt-out, quiet hours), deduplication, retries.
  • Observability and failure handling.

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