Build a Real-Time Bidding System With Next.js and Stream
Stream’s React Chat SDK with the JavaScript client will help us build a bidding app with support for rich messages, image uploads, videos and more.
Apr 16th, 2025 2:00pm by
Image from Lemberg Vector studio on Shutterstock.
Stream sponsored this post.
- Show the presence of users and typing indicators (for instance, when an online user is typing or was last seen).
- Read receipts and delivery status.
- Push notifications to users of new messages.
- Add multimedia support and rich messaging (voice notes, file sharing, etc.).
- Thread and group conversations.
Prerequisites
Before you begin, ensure you have the following:- Node.js and pnpm installed or your preferred package manager
- A Stream account, API key and API secret
- Basic knowledge of Next.js
- A Vercel account to deploy to Vercel and use this in production
Project Setup
We’ve set up a starter code to keep this guide concise and user-friendly. It includes static data, letting you instantly view all products available for bidding without hassle. For the streaming features, we’ll set up Stream React SDKs and the Stream Chat API, so we won’t need to build from scratch. We’ve also integrated Shadcn UI components, delivering a polished interface to explore. With this setup, you’ll hit the ground running. Start by cloning the starter branch of our repository and installing dependencies:
```
git clone --branch starter-template --single-branch
git@github.com:daveclinton/stream-bidding-site.git
cd stream-bidding-site
pnpm install
```
- The necessary UI components from Shadcn
- `stream-chat` and `stream-chat-react`, which we’ll use to set up Stream’s Chat API and connect our users to the stream
Project Structure
Our project is organized in the following structure: ├── app │ ├── api # API routes for handling auctions and stream tokens │ ├── auction # Auction pages for each product ├── components # UI components ├── lib # Utility functions and data ├── public # Static assets └── types # Type definitionsStep 1: Setting up Stream
Sign up for Stream and create an application. Retrieve your API key and secret from the dashboard.
Create a `.env.development.local` file and add the variables:
```bash
NEXT_PUBLIC_STREAM_KEY=your-key-here
STREAM_API_SECRET=your-secret-here
NEXT_PUBLIC_API_URL=http://localhost:3000
```
Step 2: Implementing User Authentication
This API route `app/api/stream-tone/route.ts` is responsible for generating a Stream Chat authentication token for a user who wants to participate in a bidding auction. It ensures the user exists, creates a messaging channel if necessary, and adds the user to the auction. Here’s how it works: We retrieve the `apiKey` and `apiSecret` from environment variables. If either is missing, we return an error response:
```
const apiKey = process.env.NEXT_PUBLIC_STREAM_KEY;
const apiSecret = process.env.STREAM_API_SECRET;
if (!apiKey || !apiSecret) {
console.error("Missing Stream API credentials:", { apiKey, apiSecret });
return NextResponse.json(
{ error: "Server configuration error" },
{ status: 500 }
);
}
```
```
const body = await req.json();
const { userId, productId = "product-1" } = body as {
userId?: string;
productId?: string;
};
```
```
if (!userId || typeof userId !== "string") {
return NextResponse.json(
{ error: "Valid user ID is required" },
{ status: 400 }
);
}
```
```
const product = PRODUCTS[productId];
if (!product) {
return NextResponse.json({ error: "Product not found" }, { status: 404 });
}
```
const serverClient = StreamChat.getInstance(apiKey, apiSecret);
To manage user data in the chat system, ensure the user is updated by adding or updating their information in the chat service. Use the provided `userId` to identify the user and assign them the `user` role during this process. This step guarantees that the user’s details are either created if they don’t exist or updated if they already do.
```
await serverClient.upsertUser({
id: userId,
name: userId,
role: "user",
});
```
```
const channelId = `auction-${productId}`;
const channel = serverClient.channel("messaging", channelId, {
name: `Bidding for ${product.name}`,
product: product,
auctionEnd: product.endTime.toISOString(),
created_by_id: "system",
});
try {
await channel.create();
console.log(`Channel ${channelId} created or already exists`);
} catch (error) {
console.log(
"Channel creation error (likely exists):",
(error as Error).message
);
}
await channel.addMembers([userId]);
Finally, we calculate an expiration time (seven days from now) and generate a token for the user to authenticate with the chat service.
```
const expirationTime = Math.floor(Date.now() / 1000) + 604800;
const token = serverClient.createToken(userId, expirationTime);
```
```
console.log(
"Generated token for user:",
userId,
"expires:",
new Date(expirationTime * 1000).toISOString()
);
return NextResponse.json({
token,
product,
});
```
```
} catch (error) {
const typedError = error as Error;
console.error("Stream token error details:", {
message: typedError.message,
stack: typedError.stack,
});
return NextResponse.json(
{ error: "Failed to process request", details: typedError.message },
{ status: 500 }
);
}
```
Step 3: Fetching Products
This API route retrieves product details from the `PRODUCTS` data set. It can return either a single product (by `id`) or a list of all products. We will use the `URL` constructor to extract the `id` query parameter from the request URL.const productId = new URL(req.url).searchParams.get("id");
When a `productId` is provided, search for the corresponding product within the `PRODUCTS` data using the given identifier. If the product is located, proceed with the retrieved information. If no product matches the provided `productId`, return a `404` error to indicate that the product could not be found.
```
if (productId) {
const product = PRODUCTS[productId];
if (!product) return NextResponse.json({ error: "Product not found" }, { status: 404 });
return NextResponse.json(product);
}
```
return NextResponse.json(Object.values(PRODUCTS));
If any errors occur during the process (invalid URL, database errors), we catch them and return a `500` error with a message.
```
} catch (error) {
return NextResponse.json({ error: "Failed to fetch products" }, { status: 500 });
}
```
Step 4: Implementing Real-Time Bidding
In the API route `app/api/finalize-auction/route.ts`, finalize an auction by performing two key actions: Send a message to the auction channel to notify participants and update the channel’s status to reflect the auction’s completion. Begin by extracting the Stream API key and secret from the environment variables. Before proceeding, verify that the `NEXT_PUBLIC_STREAM_KEY` and `STREAM_API_SECRET` are available, ensuring the StreamChat client can be properly initialized for these operations.
```
const { NEXT_PUBLIC_STREAM_KEY: apiKey, STREAM_API_SECRET: apiSecret } = process.env;
if (!apiKey || !apiSecret) {
return NextResponse.json({ error: "Server configuration error" }, { status: 500 });
}
```
const serverClient = StreamChat.getInstance(apiKey, apiSecret);
To process the auction finalization, extract the `productId, winner` and `amount` from the request body. Verify that all these required fields are present in the request to ensure the necessary information is available to complete the operation successfully.
```
const { productId, winner, amount } = await req.json();
if (!productId || !winner || !amount) {
return NextResponse.json({ error: "Missing required fields" }, { status: 400 });
}
```
```
await channel.sendMessage({
text: `🏆 Auction for ${productId} is over. ${winner} won with $${amount.toFixed(2)}`,
user_id: "system",
auction_finalized: true,
winner,
final_amount: amount,
});
```
```
await channel.update({
auction_status: "completed",
winner,
final_amount: amount,
completed_at: new Date().toISOString(),
});
```
return NextResponse.json({ success: true, message: "Auction finalized successfully" });
To handle potential issues during the auction finalization, wrap the process in a try-catch block. If any errors occur, catch them and return an error response with an appropriate HTTP status code (500 for server errors) and a message detailing the issue, ensuring the requester is informed of the failure.
```
} catch (error) {
return NextResponse.json({ error: "Failed to finalize auction", details: (error as Error).message }, { status: 500 });
}
```
Step 5: All Products Interface
On this page, we create an async server component `page.tsx` at the root of our layout that fetches products during server-side rendering. It uses the modern Next.js data fetching pattern with a dedicated `getProducts` function. The imported client components will manage our UI states, search functionality and refresh actions. This component also contains a dedicated loading skeleton and Suspense for better loading state management. > 💡We have already created the `ProductListClient.tsx` and `ProductsPageSkeleton.tsx` files in the starter template within our components directory. You just need to import and use them here.
```
import { Suspense } from "react";
import ProductsList from "@/components/ProductListClient";
import { ProductsPageSkeleton } from "@/components/ProductPageSkelton";
import { getAllProducts } from "@/lib/products";
export default async function Page() {
const products = await getAllProducts();
return (
<main className="container mx-auto py-12 px-4 max-w-7xl">
<div className="space-y-8">
<div className="flex flex-col md:flex-row justify-between items-start md:items-center gap-4">
<div>
<h1 className="text-4xl font-bold tracking-tight">Live Auctions</h1>
<p className="text-muted-foreground mt-2">
Discover unique items and place your bids before time runs out
</p>
</div>
</div>
<Suspense fallback={<ProductsPageSkeleton />}>
<ProductsList initialProducts={products} />
</Suspense>
</div>
</main>
);
}
```
Step 6: Bidding Page Interface
This page will act as our data-fetching layer for the bidding page of a single product. It will retrieve the product information on the server and delegate the task of rendering the UI to the client component. In the snippet, the page is accessed via a dynamic route from the previous page that displayed all products. The `productId` extracted from the URL parameters is used in the `getProductById` function that we already set up to fetch a single product’s data. In the next section, we’ll implement the `ClientBiddingPage`, which holds the client logic of Stream API and all the UI components for our bidding chat interface. Server-side benefits: Fetching data on the server reduces client-side load, improves SEO and allows direct access to backend resources.
```
import { Product } from "@/types/product";
import ClientBiddingPage from "./ClientBiddingPage";
import { getProductById } from "@/lib/products";
import { notFound } from "next/navigation";
export default async function ServerBiddingPage({
params,
}: {
params: Promise<{ productId: string }>;
}) {
const { productId } = await params;
let product: Product | null = null;
let error: string | null = null;
try {
product = await getProductById(productId);
if (!product) {
notFound();
}
} catch (err) {
console.error("Failed to fetch product data:", err);
error = "Failed to load product information";
}
return <ClientBiddingPage product={product} error={error} />;
}
```
Step 7: Client Bidding Page
This section contains the real-time auction logic implemented using StreamChat. This particular component will allow users to:- Join the auction rooms for a specific product.
- View product details and auction status.
- Place bids in real time.
- Chat with other participants.
- Track time remaining and auction results.
Managing Bidding State
It’s important to track the connection status with StreamChat, the current auction state, such as bids and remaining time, user interface states and the user’s identity.
```
const [client, setClient] = useState<StreamChat<DefaultGenerics> | null>(
null
);
const [channel, setChannel] = useState<StreamChannel<DefaultGenerics> | null>(
null
);
const [currentBid, setCurrentBid] = useState<number>(0);
const [highestBidder, setHighestBidder] = useState<string | null>(null);
const [bidInput, setBidInput] = useState<string>("");
const [error, setError] = useState<string | null>(initialError);
const [, setIsLoading] = useState<boolean>(false);
const [userId, setUserId] = useState<string>("");
const [isConnecting, setIsConnecting] = useState<boolean>(false);
const [isJoining, setIsJoining] = useState<boolean>(false);
const [timeRemaining, setTimeRemaining] = useState<string>("");
const [isAuctionEnded, setIsAuctionEnded] = useState<boolean>(false);
const [winner, setWinner] = useState<string | null>(null);
```
Initial Setup on Component Mount
To set up a function that will generate a random user ID, since we have not set up an authentication system in this demo, we’ll need to have this done when the component mounts. Based on previous conversations, this effect will also set the initial bid amount and check whether the auction has ended.
```
useEffect(() => {
setUserId(`user-${Math.random().toString(36).substring(2, 7)}`);
if (product) {
setCurrentBid(product.currentBid || product.startingBid);
const endTime = new Date(product.endTime);
if (endTime <= new Date() || product.status === "ended") {
setIsAuctionEnded(true);
setTimeRemaining("Auction ended");
}
}
}, [product]);
```
The Auction Timer
Set up a timer that updates every second. This will ensure that it calculates the remaining time until an auction ends and automatically declares a winner when time runs out.
```
useEffect(() => {
if (!product) return;
const timer = setInterval(() => {
const now = new Date();
const endTime = new Date(product.endTime);
const diff = endTime.getTime() - now.getTime();
if (diff <= 0) {
clearInterval(timer);
setTimeRemaining("Auction ended");
setIsAuctionEnded(true);
if (channel && highestBidder) {
declareWinner();
}
} else {
const hours = Math.floor(diff / (1000 * 60 * 60));
const minutes = Math.floor((diff % (1000 * 60 * 60)) / (1000 * 60));
const seconds = Math.floor((diff % (1000 * 60)) / 1000);
if (hours > 0) {
setTimeRemaining(`${hours}h ${minutes}m ${seconds}s`);
} else {
setTimeRemaining(`${minutes}m ${seconds}s`);
}
}
}, 1000);
return () => clearInterval(timer);
}, [product, channel, highestBidder]);
```
Connecting to Stream Chat
To connect to a `StreamChat`, we’ll need to fetch a token from our `app/api/stream-token/route.ts` and initialize the Stream Chat Client. This function, which a button triggers, will set up connection monitoring for automatic reconnection and join an auction channel once connected.
```
const handleConnect = async () => {
if (!userId || !product) return;
try {
setError(null);
setIsConnecting(true);
// Get authentication token from backend
const res = await fetch("/api/stream-token", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ userId, productId: product.id }),
});
if (!res.ok) {
const errorData = await res.json();
throw new Error(errorData.error || "Failed to fetch token");
}
const { token } = (await res.json()) as { token: string };
const apiKey = process.env.NEXT_PUBLIC_STREAM_KEY;
if (!apiKey) {
throw new Error("Stream API key is not configured");
}
// Disconnect existing user if connected
if (client) {
await client.disconnectUser();
}
// Create and connect new client
const chatClient = StreamChat.getInstance<DefaultGenerics>(apiKey);
await chatClient.connectUser(
{
id: userId,
name: userId,
image: "<https://i.imgur.com/fR9Jz14.png>", // Avatar image
},
token
);
setClient(chatClient);
// Set up reconnection logic
chatClient.on((event: Event<DefaultGenerics>) => {
if (event.type === "connection.changed" && !event.online) {
console.log("Connection lost, attempting to reconnect...");
setError("Connection lost. Reconnecting...");
handleConnect();
}
});
await joinChannel(chatClient);
} catch (err) {
const typedError = err as Error;
console.error("Connect error:", typedError.message);
setError(`Failed to connect: ${typedError.message}`);
} finally {
setIsConnecting(false);
}
};
```
Joining the Auction Channel
This function will create a chat channel unique to the product and load the message history to find the current highest bid. It will also register us as real-time listeners for new bids and auction status updates and parse bid information from regex messages.
```
const joinChannel = async (chatClient: StreamChat<DefaultGenerics>) => {
if (!chatClient.user || !product) {
setError("Client not connected or product not available. Please reconnect.");
handleConnect();
return;
}
try {
setIsJoining(true);
setError(null);
// Create or join channel for this specific auction
const channelId = `auction-${product.id}`;
const chatChannel = chatClient.channel("messaging", channelId, {
name: `Bidding for ${product.name}`,
product: product,
auctionEnd: new Date(product.endTime).toISOString(),
});
// Start watching for messages
await chatChannel.watch();
setChannel(chatChannel);
// Load existing messages and find current highest bid
const response = await chatChannel.query({ messages: { limit: 100 } });
const messages = response.messages || [];
// Check if auction has already ended
const auctionEndMessage = messages.find((msg) => msg.auctionEnd === true);
if (auctionEndMessage) {
setIsAuctionEnded(true);
setWinner((auctionEndMessage.winner as string) || null);
if (typeof auctionEndMessage.finalBid === "number") {
setCurrentBid(auctionEndMessage.finalBid);
}
}
// Parse bid history from messages
const bidMessages: BidMessage[] = messages
.map((msg) => {
const text = msg.text || "";
const match = text.match(/(\\w+) placed a bid of \\$(\\d+\\.?\\d*)/);
if (match) {
const [, bidder, amount] = match;
return { bidder, amount: Number.parseFloat(amount) };
}
return null;
})
.filter((bid): bid is BidMessage => bid !== null);
// Set current highest bid
if (bidMessages.length > 0) {
const highestBid = bidMessages.reduce((prev, current) =>
prev.amount > current.amount ? prev : current
);
setCurrentBid(Math.max(highestBid.amount, product.startingBid));
setHighestBidder(highestBid.bidder);
} else {
setCurrentBid(product.startingBid);
}
// Listen for new messages/bids
chatChannel.on((event: Event<DefaultGenerics>) => {
if (event.type === "message.new") {
const messageText = event.message?.text || "";
if (event.message?.auctionEnd === true) {
setIsAuctionEnded(true);
setWinner((event.message.winner as string) || null);
return;
}
const match = messageText.match(/(\\w+) placed a bid of \\$(\\d+\\.?\\d*)/);
if (match) {
const [, bidder, amount] = match;
const bidValue = Number.parseFloat(amount);
if (bidValue > currentBid) {
setCurrentBid(bidValue);
setHighestBidder(bidder);
}
}
}const handleBid = async () => {
if (!channel || !product) {
setError("Please join the channel first.");
return;
}
if (isAuctionEnded) {
setError("This auction has ended.");
return;
}
const bidValue = Number.parseFloat(bidInput);
if (isNaN(bidValue)) {
setError("Please enter a valid number.");
return;
}
if (bidValue <= currentBid) {
setError(
`Your bid must be higher than the current bid of $${currentBid.toFixed(2)}.`
);
return;
}
try {
setIsLoading(true);
setError(null);
await channel.sendMessage({
text: `${userId} placed a bid of $${bidValue.toFixed(2)}`,
});
setCurrentBid(bidValue);
setHighestBidder(userId);
setBidInput("");
} catch (err) {
const typedError = err as Error;
console.error("Bid error:", typedError.message);
setError(`Failed to place bid: ${typedError.message}`);
} finally {
setIsLoading(false);
}
};
});
} catch (err) {
const typedError = err as Error;
console.error("Join channel error:", typedError.message);
setError(`Failed to join bidding room: ${typedError.message}`);
} finally {
setIsJoining(false);
}
};
```
Placing Bids
This bidding method will validate a bid amount by checking if it’s a number higher than the current bid. It will also prevent us from placing bids on ended auctions and will send the bid as a formatted message to the channel. It also updates the local state to reflect the new bid.
```
const handleBid = async () => {
if (!channel || !product) {
setError("Please join the channel first.");
return;
}
if (isAuctionEnded) {
setError("This auction has ended.");
return;
}
const bidValue = Number.parseFloat(bidInput);
if (isNaN(bidValue)) {
setError("Please enter a valid number.");
return;
}
if (bidValue <= currentBid) {
setError(
`Your bid must be higher than the current bid of $${currentBid.toFixed(2)}.`
);
return;
}
try {
setIsLoading(true);
setError(null);
await channel.sendMessage({
text: `${userId} placed a bid of $${bidValue.toFixed(2)}`,
});
setCurrentBid(bidValue);
setHighestBidder(userId);
setBidInput("");
} catch (err) {
const typedError = err as Error;
console.error("Bid error:", typedError.message);
setError(`Failed to place bid: ${typedError.message}`);
} finally {
setIsLoading(false);
}
};
```
Auction Finalization
Since the aim of an auction is to sell to the highest bidder, this section will include the metadata about the winning bid and call our `final-auction` API to record the auction result.
```
const declareWinner = async () => {
if (!channel || !highestBidder || !product) return;
try {
await channel.sendMessage({
text: `🎉 Auction ended! ${highestBidder} won with a bid of $${currentBid.toFixed(2)}`,
auctionEnd: true,
winner: highestBidder,
finalBid: currentBid,
});
setWinner(highestBidder);
await fetch("/api/finalize-auction", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
productId: product.id,
winner: highestBidder,
amount: currentBid,
}),
});
} catch (err) {
console.error("Failed to declare winner:", err);
setError("Failed to finalize auction");
}
};
```
StreamChat’s Chat Interface
app/components/ChatInterface.tsx We have a separate reusable component designed to simplify handling complex real-time communication behind the scenes. It’s a thin wrapper around Stream Chat’s React components that adds auction-specific logic, like disabling chat after the auction ends. This is the structure of the props that we pass to it:- `client`: The Stream Chat client instance that handles the connection
- `channel`: The specific auction chat channel
- `isJoining` and `isConnecting`: Status flags for UI feedback
- `handleConnect`: Function to connect the user to the chat
- `isAuctionEnded`: Flag to disable chat input when the auction ends
```
import { Loader2 } from "lucide-react";
import { Button } from "@/components/ui/button";
import { cn } from "@/lib/utils";
import {
Chat,
Channel,
Window,
ChannelHeader,
MessageList,
MessageInput,
} from "stream-chat-react";
import "stream-chat-react/dist/css/v2/index.css";
import {
StreamChat,
type Channel as StreamChannel,
type DefaultGenerics,
} from "stream-chat";
type ChatInterfaceProps = {
client: StreamChat<DefaultGenerics> | null;
channel: StreamChannel<DefaultGenerics> | null;
isJoining: boolean;
isConnecting: boolean;
handleConnect: () => Promise<void>;
isAuctionEnded: boolean;
};
export default function ChatInterface({
client,
channel,
isJoining,
isConnecting,
handleConnect,
isAuctionEnded,
}: ChatInterfaceProps) {
return (
<div className="w-full md:w-2/3 h-screen">
{client && channel ? (
<div className="h-full">
<Chat client={client} theme="messaging light">
<Channel channel={channel}>
<Window>
<ChannelHeader />
<MessageList />
<MessageInput disabled={isAuctionEnded} />
</Window>
</Channel>
</Chat>
</div>
) : (
<div
className={cn(
"flex justify-center items-center h-full",
"bg-muted/30"
)}
>
<div className="text-center p-8 max-w-md">
<h2 className="text-xl font-semibold mb-4">Live Auction Chat</h2>
<p className="text-muted-foreground mb-6">
Join the auction to view the live bidding chat and interact with
other bidders
</p>
{isJoining ? (
<div className="flex justify-center">
<Loader2 className="h-8 w-8 animate-spin text-primary" />
</div>
) : (
<Button onClick={handleConnect} disabled={isConnecting}>
Join Now
</Button>
)}
</div>
</div>
)}
</div>
);
}
```
Rendering the UI
In the return statement, you’ll just need to add the UI layout we made. We have separated concerns into modular components that do the following:- `ProductDetails`: This component shows the details of a particular auction item, and we just parse the data from this component on the server page we made.
- `AuctionStatus`: It shows the status of the component from when it started, the countdown timer, the user and the winner.
- `BiddingInterface`: This contains the input field for entering our bid, and the button lets us establish a connection to a stream chat.
- `ChatInterface`: This provides a real-time chat feature for the auction. These handle all the complex real-time messaging functionality.
```
return (
<div className="flex flex-col md:flex-row min-h-screen bg-background">
<div className="w-full md:w-1/3 p-6 border-r">
<Button variant="ghost" size="sm" className="mb-6" asChild>
<Link href="/">
<ArrowLeft className="mr-2 h-4 w-4" />
Back to All Auctions
</Link>
</Button>
<div className="space-y-6">
<ProductDetails product={product} />
<AuctionStatus
isAuctionEnded={isAuctionEnded}
timeRemaining={timeRemaining}
currentBid={currentBid}
highestBidder={highestBidder}
winner={winner}
userId={userId}
/>
<BiddingInterface
client={client}
userId={userId}
currentBid={currentBid}
isAuctionEnded={isAuctionEnded}
isConnecting={isConnecting}
isLoading={isJoining}
handleConnect={handleConnect}
handleBid={handleBid}
error={error}
winner={winner}
bidInput={bidInput}
setBidInput={setBidInput}
/>
</div>
</div>
<ChatInterface
client={client}
channel={channel}
isJoining={isJoining}
isConnecting={isConnecting}
handleConnect={handleConnect}
isAuctionEnded={isAuctionEnded}
/>
</div>
);
```
Step 8: Deploying to Vercel From the Terminal
This is a straightforward step-by-step guide for deploying to Vercel using the command line. It includes setting the environment variables straight from our CLI.Install the Vercel CLI
npm install -g vercel
Log In to Vercel
vercel login
At the root of our bidding project, just prompt:
vercel
And you will get a prompt with a few questions to set up your project:
Adding Environment Variables
vercel env add
Extending the Application
This application can be further improved by adding new features to make it a real-time, sophisticated application:- Add user authentication and replace the random IDs we used with proper user accounts.
- Integrate payment gateways for automatic checkout.
- Add notifications to notify users of bidding events and the auction end.
- Add admin controls for sellers to monitor and manage auctions.
- Add visualizations of bid history over time.
Conclusion
In this article, you’ve learned how to build a bidding application and set up Next.js API routes that handle server communications. This familiarity has made it easy for us to build a complex bidding application without independently setting up complex real-time messaging functionalities. We’ve also seen that Stream can power live bid feeds, notify users of outbids or even enable chat between bidders, enhancing engagement. This stack leverages each tool’s strengths to create a robust, user-friendly experience in a bidding app where speed, reliability and real-time interaction are non-negotiable.
From Amsterdam to Boulder and Techstars in-between, Stream has raised over $58.25M to build the best Chat Messaging, Video & Activity Feed infrastructure available, with best-in-class support.
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