StreamStorm은 YouTube 라이브 스트림 채팅에서 대량 메시징 (aka spamming)을 자동화하는 경량 데스크톱 응용 프로그램입니다. 여러 브라우저 인스턴스와 persistent Google 로그인에 대한 지원으로, StreamStorm은 여러 스트림을 통해 라이브 채팅으로 폭발 할 수 있습니다. - 반복, 일정 또는 풀 스로틀.

코딩이 없습니다, 공상 설정 - 메시지에 플러그, 간격을 설정하고, chaos가 펼쳐집니다. 홍수, 혼란, 또는 성가, StreamStorm은 클릭으로 모든 것을 할 수있는 힘을 제공합니다.

#####는 존중하지 않습니다. ethics는 없습니다. 당신이 dare 경우 그것을 사용하십시오.

남용을 위해 디자인. 평화로운

672️ 핵심 기능 및 특징

StreamStorm의 핵심 기능은 YouTube 라이브 채팅에서 메시지 전송을 자동화 할 수있는 능력을 중심으로합니다. 주요 특징은 다음을 포함합니다:

• ** 실시간 대시보드**:
• 폭풍 상태, active/dead 인스턴스, 메시지 전송 및 기간 추적을 가진 활동적인 폭풍 세션을 위한 라이브 모니터링.
• 실시간 메시지 속도 (분당) 표시.
• Live log feed with color-coded 로그 레벨.
• 소켓. IO 기반 실시간 업데이트는 polling 메커니즘을 대체합니다.

📘 Introduction / Overview

StreamStorm is a lightweight desktop application built specifically to automate mass messaging (aka spamming) in YouTube live stream chats. With support for multiple browser instances and persistent Google login, StreamStorm can blast messages into live chats across multiple streams — on repeat, on schedule, or at full throttle.

There’s no coding, no fancy setup — just plug in your message, set your intervals, and let the chaos unfold. Whether you’re trying to flood, disrupt, or annoy, StreamStorm gives you the power to do it all with a click.

🔒 No terms respected. No ethics included. Use it if you dare.

🧨 Designed for abuse. Not for the faint-hearted.

🛠️ Core Functionality & Features

StreamStorm’s core functionality revolves around its ability to automate the sending of messages in YouTube live chats. Key features include:

• Real-time Dashboard:
  • Live monitoring for active storm sessions with storm status, active/dead instances, messages sent, and duration tracking.
  • Real-time message rate (per minute) display.
  • Live log feed with color-coded log levels.
  • Socket.IO-based real-time updates replacing polling mechanisms.
  • Channel Status Modal to view and manage individual channel statuses with ability to kill specific instances.
  • View Config Modal to display storm configuration details.
  • System metrics charts for CPU and RAM usage visualization using Recharts library.
• AI Integration:
  • AI-powered message generation — Generate YouTube comments using AI with customizable prompts.
  • AI-powered channel name generation — Create channel names via AI assistance.
  • Multi-provider support — OpenAI, Anthropic (Claude), Google (Gemini), and custom providers.
  • PydanticAI implementation — Structured AI outputs with async generation and type safety.
  • Settings management — Configure and save API keys, models, and default providers locally.
• MCP (Model Context Protocol) Server: Full MCP server integration with FastMCP framework, accessible at localhost:1919/mcp:
  • Storm operation tools for start, stop, pause, resume, and kill instances.
  • Configuration tools to get settings, profiles, system metrics, and storm context.
  • Monitoring resources for channels, logs, and system data.
  • HTTP transport for external LLM clients to control StreamStorm operations.
  • Sample prompts for AI assistants:
    • Start storming on https://www.youtube.com/watch?v=VIDEO_ID with 5 channels with slow mode 3 seconds
    • Start storming with 5 channels and also subscribe and wait for 30 seconds
    • Pause the storm / Resume the storm / Stop the storm
    • Change slow mode to 2 sec
    • Add 2 more channels to the storm
• Settings & Configuration: Unified Settings Modal with tabbed interface:
  • API Keys management for AI providers.
  • Theme selection (Light/Dark modes).
  • Host configuration.
  • General settings.