Open Source CoffeeScript Live Streaming Software

CoffeeScript Live Streaming Software

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  • Turn traffic into pipeline and prospects into customers Icon
    Turn traffic into pipeline and prospects into customers

    For account executives and sales engineers looking for a solution to manage their insights and sales data

    Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
    Learn More
  • The AI workplace management platform Icon
    The AI workplace management platform

    Plan smart spaces, connect teams, manage assets, and get insights with the leading AI-powered operating system for the built world.

    By combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
    Learn More
  • 1
    Node RTSP RTMP Server

    Node RTSP RTMP Server

    RTSP/RTMP/HTTP hybrid server

    This project is a streaming media server built on Node.js that supports both RTSP (Real Time Streaming Protocol) and RTMP (Real Time Messaging Protocol). It enables users to set up a lightweight streaming infrastructure for delivering live video or audio across networks without relying on heavy external servers. By implementing these protocols in Node.js, it offers easy integration with JavaScript applications and rapid prototyping for developers working on real-time streaming. The server can be used in surveillance camera setups, broadcasting workflows, or low-latency streaming systems. Because Node.js is event-driven, the implementation is designed for handling concurrent client connections efficiently. It’s especially useful for developers who want a minimalistic streaming server for experimentation, custom deployments, or embedding into larger applications.
    Downloads: 0 This Week
    Last Update:
    See Project
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