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hung-phanCOMMUNITY
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live-comments

Design live comments chat systems with fanout, sampling, and asynchronous moderation.

Updated Jun 5, 2026
Search Tags:#moderation#sampling#throttling#live comments#livestream chat
One-click install
npx skills add https://github.com/hung-phan/system-skills --skill live-comments
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: live-comments
Source: https://github.com/hung-phan/system-skills/tree/main/skills/system-review/references/interview-templates/live-comments
Command: npx skills add https://github.com/hung-phan/system-skills --skill live-comments

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires redis, kafka, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the design and optimization of live comments chat systems, providing solutions for handling large-scale fanout, asynchronous moderation, sampling, and throttling to ensure smooth operation during events with millions of concurrent viewers.

Core Features & Use Cases

  • Fanout Management: Implements techniques to manage the distribution of messages to large numbers of viewers within a tight timeframe.
  • Asynchronous Moderation: Ensures that the moderation pipeline operates independently of the message delivery, maintaining chat flow.
  • Sampling and Throttling: Implements sampling and throttling to manage the load during peak times, prioritizing user experience and system stability.
  • Use Case: Design a live comments system for a celebrity event with millions of viewers, capable of handling high traffic and maintaining a seamless chat experience.

Quick Start

Use the /system-review command followed by 'review' and your design details to analyze and optimize your live comments system.

Frequently Asked Questions about live-comments

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I handle high fanout for live comments during a celebrity livestream?▼

To handle high fanout for live comments, implement message sharding and asynchronous delivery pipelines to distribute messages to millions of concurrent viewers efficiently within a tight timeframe.

What is the best way to moderate livestream chat asynchronously without blocking message delivery?▼

The best way to moderate livestream chat asynchronously is to decouple the moderation pipeline from message delivery, ensuring moderation operates independently and maintains continuous chat flow during high traffic.

How do I use sampling and throttling to manage livestream chat load during peak traffic?▼

Sampling and throttling manage livestream chat load by selectively processing message subsets and limiting request rates during peak times, prioritizing overall system stability and user experience over delivering every message.

Does this live comments system design require Redis and Kafka?▼

Yes, this live comments system design requires Redis and Kafka as dependencies to support its asynchronous moderation, high-scale fanout management, and sampling strategies for millions of concurrent viewers.

When should I use sampling instead of delivering all messages in a livestream chat system?▼

You should use sampling in a livestream chat system during extreme peak traffic events with millions of viewers, where prioritizing system stability requires throttling displayed messages rather than attempting full delivery.

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