Stream的封面图片
Stream

Stream

科技、信息和网络

Boulder,CO 15,022 位关注者

Stream powers Chat Messaging, Video & Audio, and Activity Feeds for billions of global end-users.

关于我们

Stream helps apps build real-time experiences that scale. Our chat, moderation, video, audio, and activity feed APIs and SDKs are powered by a global edge network and enterprise-grade infrastructure. Our platform empowers developers with the flexibility and scalability they need to easily build rich conversations and engaging communities.

网站
https://getstream.io
所属行业
科技、信息和网络
规模
51-200 人
总部
Boulder,CO
类型
私人持股
创立
2015
领域
Activity Streams、Newsfeeds、Cloud Hosting和Big Data

地点

  • 主要

    1215 Spruce St, Suite 300

    US,CO,Boulder,80302

    获取路线
  • Keizersgracht 205-3

    NL,Noord-Holland,Amsterdam,1016 DS

    获取路线

Stream员工

动态

  • 查看Stream的组织主页

    15,022 位关注者

    ?? Build a WebRTC-Powered Chat App with React ?? Tired of laggy chat? WebRTC enables peer-to-peer messaging, reducing latency and improving interactivity. Add: ?? Live typing indicators ?? Presence & online status ?? Emoji reactions & file sharing Skip the server roundtrip—messages go directly between users. Check out this tutorial on setting up a WebRTC signaling server and a React chat client from scratch. ?? https://lnkd.in/ghS_2d64

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  • Stream转发了

    查看Jessica Nelson的档案

    Global Vice President of Sales @ Stream | Building World-Class Sales Teams

    ??One of my absolute favorite apps, dub, is shaking up the fintech world, and I’m beyond excited to hit the stage at App Growth Summit? with their CEO Steven Wang to talk all about it!?? If you haven’t checked out Dub yet, its social media meets smart investing—scroll your feed, find top traders, and copy their portfolios in real-time. Oh, and did I mention it’s the U.S.'s first fully regulated copy-trading platform? Complete game-changer. At AGS, Stream and Dub will be breaking down: ? How Dub is making investing social, seamless, and accessible (finally!). ? The growth strategies fueling their success—what’s working, what’s next, and what you can learn from it. ?Actionable takeaways for anyone building an app people can’t stop talking about. This session will be fun, fast-paced, and full of insights on standing out in a competitive market. If you’re at App Growth Summit, don’t miss it. Come say hi, bring your questions, and let’s talk about innovation, fintech, and all things growth. https://lnkd.in/ggJiGyAc https://www.dubapp.com/ #AppGrowthSummit #DubApp #Fintech #Growth #Innovation

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  • Stream转发了

    查看Bodyguard的组织主页

    7,446 位关注者

    ? Don’t miss our March webinar, where we'll jump into Bodyguard moderation for Stream-powered APIs! ? Join us for a deep-dive into the seamless integration between Bodyguard and Stream and discover how, together, we’re shaping the future of moderation. Our Founder & CEO Charles Cohen will be joined by Stream's Product Marketing Manager, Emily Nekvasil, to reveal how our collaboration is creating safer digital experiences for Stream platform users everywhere. We’ll talk you through the technology that’s powering our partnership, and share use cases that show Bodyguard and Stream in action. Don't miss out on this fascinating session! Save your spot now ?? https://lnkd.in/eMg2xB9X #webinar #onlinesafety #techintegration #moderation #api

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  • 查看Stream的组织主页

    15,022 位关注者

    ?? Build a Flash Answer AI Assistant with Stream Chat & LLM Inference Tired of slow AI responses? In this tutorial, we show you how to build a high-speed AI assistant like Le Chat using Stream's Chat APIs and low-latency LLM inference platforms like Groq and Cerebras. ?? What you'll implement: ? AI-powered chat with Stream Chat SDKs (SwiftUI, React, Flutter, Node.js, Android) ? Ultra-low latency responses via LLM inference providers ? Real-time AI chat UI with prebuilt and customizable components Clone the repo, follow the guide, and get started! ?? https://lnkd.in/gWKucvCM

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  • 查看Stream的组织主页

    15,022 位关注者

    ?? Build Gesture Recognition with TensorFlow.js ??? Turn your webcam into a gesture-controlled interface using TensorFlow.js! In our latest tutorial, we show you how to: ? Detect hand gestures in real-time ? Use finger pose for custom gesture recognition ? Integrate gestures into video apps (e.g., mute/unmute with a hand signal) Perfect for devs looking to add AI-powered interactivity to their web apps! Check out the tutorial & start coding: https://lnkd.in/g9ND8E8J

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  • 查看Stream的组织主页

    15,022 位关注者

    ?? Build a Chatbot with DeepSeek R1 & AWS Bedrock Integrate DeepSeek R1 into your chat app using AWS Bedrock + Stream Chat in just a few steps. ?? Why DeepSeek? ? Open-source & cost-efficient ? Customizable, no vendor lock-in ? High-quality reasoning ?? What You'll Learn: ? Deploy DeepSeek on AWS Bedrock ? Use boto3 & Hugging Face for model management ? Add a DeepSeek AI agent to Stream Chat Get the full tutorial & start coding: https://lnkd.in/ggce9iWQ

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  • 查看Stream的组织主页

    15,022 位关注者

    ?? Jetpack Compose UI Components: Do it Right ?? Struggling with Modifier misuse, inconsistent theming, or API design in Compose? This guide covers: ? Proper Modifier usage ? Scalable theming ? Flexible, predictable APIs Learn best practices from Stream's Video SDK and build better Compose UIs. ?? https://lnkd.in/gdr_YJmC

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  • Stream转发了

    查看Oluwabusayo Jacobs的档案

    Technical Writer | Software Engineer | Frontend Developer

    Excited to share my latest article series, where I break down how to build a Telegram-like chat application for the web using Next.js, TailwindCSS, and Stream! ?? What you’ll learn: - Setting up Next.js and TailwindCSS for a modern UI - Implementing real-time messaging with Stream Chat SDK - Handling authentication and user management - Adding audio and video calls for a complete chat experience Whether you're looking to build a custom chat app or just exploring how Telegram-style features can be implemented on the web, this series has you covered! ?? Read the full article here: https://lnkd.in/duS2v7qs ?? Live demo here: https://lnkd.in/dxifgFEU #React #Stream #JavaScript #NextJS #WebDevelopment #TypeScript #TailwindCSS #Frontend

  • 查看Stream的组织主页

    15,022 位关注者

    ?? Want to build real-time chat on AWS? We published a complete implementation guide. Our team breaks down: - WebSocket handling with API Gateway - Message processing using Lambda - DynamoDB schema design for chat storage - Lex bot integration Plus, working code for: - Broadcast messaging - Direct messages - Connection management - Real-time bot responses Check out the technical deep-dive:?https://lnkd.in/gHbxjAFx #AWS #ChatAPI #StreamChat #RealTime #WebSockets

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