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Design a Twitter-like timeline service

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's ability to design scalable social feed systems, testing competencies in distributed systems, data modeling, API design, caching, consistency models, and infrastructure strategies for handling high-throughput features like follows and timelines, with the category being System Design.

  • medium
  • Nooks
  • System Design
  • Software Engineer

Design a Twitter-like timeline service

Company: Nooks

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Onsite

Design a simplified Twitter-like system. The system should support: - User accounts and profiles - Follow and unfollow - Creating short text posts - Viewing a user's own profile timeline - Viewing a home timeline containing posts from followed accounts - Optional discussion of likes, reposts, and notifications Discuss: - Functional and non-functional requirements - APIs - Data model and storage choices - Feed generation strategy: fan-out on write, fan-out on read, or a hybrid - Caching - Handling celebrity accounts and hot keys - Reliability, consistency, and scaling to millions of users

Quick Answer: This question evaluates a candidate's ability to design scalable social feed systems, testing competencies in distributed systems, data modeling, API design, caching, consistency models, and infrastructure strategies for handling high-throughput features like follows and timelines, with the category being System Design.

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Nooks logo
Nooks
Feb 28, 2026, 12:00 AM
Software Engineer
Onsite
System Design
4
0

Design a simplified Twitter-like system.

The system should support:

  • User accounts and profiles
  • Follow and unfollow
  • Creating short text posts
  • Viewing a user's own profile timeline
  • Viewing a home timeline containing posts from followed accounts
  • Optional discussion of likes, reposts, and notifications

Discuss:

  • Functional and non-functional requirements
  • APIs
  • Data model and storage choices
  • Feed generation strategy: fan-out on write, fan-out on read, or a hybrid
  • Caching
  • Handling celebrity accounts and hot keys
  • Reliability, consistency, and scaling to millions of users

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