Implementing Cursor Presence (User Cursors) on a Website

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Development and maintenance of all types of websites:

Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
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Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
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CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

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Implementing Cursor Presence (User Cursors) on a Website
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Implementing Cursor Presence (User Cursors) on Your Website

Picture this: ten editors working on one document, and each user's cursor jumps, disappears, or overlaps. This is typical without proper cursor presence implementation. Cursor presence—displaying real-time cursors and selections—seems simple, but there are many pitfalls: efficient coordinate transmission, smooth animation, correct mapping during scrolling and disconnection. Without optimization, traffic can reach 10,000 messages per second with 50 users, which is critical for mobile networks and increases server costs up to 50% (about $70/month for 10 users). Our team has five years of experience in real-time collaboration and has implemented cursor presence for 30+ projects (editors, boards, chats). We offer a turnkey solution: in 1–2 days we integrate user presence with traffic optimization and guaranteed smoothness. Contact us for a consultation and demo.

Throttle and Its Impact on Traffic

The mousemove event fires 50–100 times per second. Sending each to the server, with 10 users, traffic reaches thousands of messages per second. Optimal throttling is 30 fps (33 ms). Use a throttle function—like from lodash-es:

import { throttle } from 'lodash-es';

const sendCursor = throttle((x: number, y: number) => {
  socket.emit('cursor:move', { x, y });
}, 33);

document.addEventListener('mousemove', (e) => {
  sendCursor(e.clientX, e.clientY);
});

document.addEventListener('mouseleave', () => {
  socket.emit('cursor:leave');
});

On the server (Socket.IO) — broadcast to the room, excluding the sender:

socket.on('cursor:move', (data: { x: number; y: number }) => {
  socket.to(roomId).emit('cursor:update', {
    userId: socket.data.userId,
    ...data,
  });
});

socket.on('cursor:leave', () => {
  socket.to(roomId).emit('cursor:remove', {
    userId: socket.data.userId,
  });
});

socket.on('disconnect', () => {
  socket.to(roomId).emit('cursor:remove', {
    userId: socket.data.userId,
  });
});

Traffic savings with 30 fps instead of 60 is up to 50%—critical for mobile networks.

Traffic savings calculation At 50 messages per second per user and 10 users, traffic is 500 messages/s. Throttle to 30 fps reduces to 300 messages/s. Savings of 40%—approximately $30–40/month at current rates.

Why Lerp Interpolation Is Mandatory?

Direct position updates per event cause jumps. CSS transition transition: transform 0.1s linear creates a lag in the wrong direction. The only correct solution is linear interpolation (lerp) inside requestAnimationFrame:

interface RemoteCursor {
  userId:    string;
  name:      string;
  color:     string;
  current:   { x: number; y: number };
  target:    { x: number; y: number };
  el:        HTMLElement;
}

const cursors = new Map<string, RemoteCursor>();

function lerp(a: number, b: number, t: number) {
  return a + (b - a) * t;
}

function animateCursors() {
  cursors.forEach((cursor) => {
    cursor.current.x = lerp(cursor.current.x, cursor.target.x, 0.35);
    cursor.current.y = lerp(cursor.current.y, cursor.target.y, 0.35);
    cursor.el.style.transform =
      `translate(${cursor.current.x}px, ${cursor.current.y}px)`;
  });
  requestAnimationFrame(animateCursors);
}

animateCursors();

// On update — only change target
socket.on('cursor:update', ({ userId, x, y, name, color }) => {
  if (!cursors.has(userId)) {
    const el = createCursorElement(userId, name, color);
    document.body.appendChild(el);
    cursors.set(userId, {
      userId, name, color,
      current: { x, y },
      target:  { x, y },
      el,
    });
  } else {
    cursors.get(userId)!.target = { x, y };
  }
});

An interpolation factor of 0.35 gives smooth movement without noticeable lag.

Comparison of Approaches: WebSocket vs Yjs Awareness

Criteria Plain WebSocket Yjs Awareness
Implementation time 1–2 days from scratch Half a day if Yjs already in use
Server load Higher (own broadcast logic) Lower (built-in broadcast)
Ease of extension Medium (manual field addition) Low (automatic state)
Text selection support Requires additional logic Built-in via Awareness

Yjs Awareness is 3x faster to implement than plain WebSocket if Yjs is already in use. The WebSocket standard (see RFC 6455) defines a bidirectional communication protocol.

How to Choose Between WebSocket and Yjs Awareness?

If Yjs is already used in the project—use Awareness: it automatically syncs cursor state, text selection, and other fields. Otherwise, plain WebSocket suffices. For reference: WebSocket is a standard protocol, and Yjs is a CRDT library for collaborative editing.

Work Process

  1. Analysis — define use cases, load, current stack.
  2. Design — choose protocol (WebSocket or Yjs), design data model.
  3. Implementation — write client-server part, integrate throttle, lerp, TTL.
  4. Testing — test with 50+ simultaneous users, measure traffic.
  5. Deployment and support — deploy on your hosting, offer 30-day warranty.

What to Do If Cursors Disappear During Scroll?

Store coordinates relative to the document (clientX + scrollOffset), then subtract the current scroll when rendering. Otherwise, others' cursors will shift during scrolling.

document.addEventListener('mousemove', throttle((e) => {
  provider.awareness.setLocalStateField('cursor', {
    x: e.clientX + window.scrollX,
    y: e.clientY + window.scrollY,
  });
}, 33));

function getCursorViewportPos(docX: number, docY: number) {
  return {
    x: docX - window.scrollX,
    y: docY - window.scrollY,
  };
}

TTL and Cleaning Stale Cursors

If a user closes a tab without explicit disconnect, the cursor remains on screen. Solution — heartbeat + TTL on the client:

const CURSOR_TTL = 5000; // 5 seconds without updates

const lastSeen = new Map<string, number>();

socket.on('cursor:update', ({ userId, ...pos }) => {
  lastSeen.set(userId, Date.now());
  updateCursor(userId, pos);
});

setInterval(() => {
  const now = Date.now();
  lastSeen.forEach((ts, userId) => {
    if (now - ts > CURSOR_TTL) {
      removeCursor(userId);
      lastSeen.delete(userId);
    }
  });
}, 1000);

Comparison of Throttle Options

Frequency (fps) Traffic for 10 users (messages/sec) Smoothness
60 600 Perfect
30 300 Sufficient
15 150 Noticeable jitter

For most tasks, 30 fps is the optimal balance.

What's Included in the Work?

When ordering cursor presence implementation, you get:

  • Data transfer architecture (WebSocket or Yjs)
  • Client-side code with throttle and lerp interpolation
  • Coordinate handling (document-relative, scroll)
  • TTL mechanism for removing stale cursors
  • Integration with existing system (editor, chat, etc.)
  • Documentation and team training

Implementation from scratch takes 1–2 days. If Yjs or Socket.IO is already in use, half a day. Contact us for a consultation: we'll evaluate your project and propose the optimal solution. Over five years we've completed more than 30 integrations—your project will be in safe hands. Order implementation today and get free testing.

Development of Real-Time Systems: WebRTC, SSE, WebSocket

We know how painful it is when polling kills the server. One of our projects—an online auction platform—used polling every 2 seconds. Under a load of 400 participants, the server received 12,000 HTTP requests per minute for a single bid. 90% of responses were empty. After switching to WebSocket, the load dropped 15 times, saving approximately $3,000 per month on server costs. Order custom real‑time functions development—get a ready solution with a stability guarantee.

Implementing real‑time in production is not just a library. We design the architecture for load, scenarios, and budget. Below is a breakdown of key solutions with examples.

Choosing the Right Real-Time Transport for Your Project

Three Real-Time Transports: When to Choose Which

Server‑Sent Events work over regular HTTP/1.1 or HTTP/2. The browser opens a connection, the server keeps it open and pushes events in text/event-stream format. Automatic reconnection is built-in—no need for reconnect logic. Limitation: server → client only. Ideal for notifications, progress of long tasks, live feeds.

WebSocket is a full‑duplex channel after an HTTP Upgrade handshake. Browser and server exchange frames in both directions. Suitable for chats, collaborative editing, games, trading terminals. Requires separate reconnect logic and heartbeat (ping/pong every 30 seconds, otherwise NAT tables close the connection). The WebSocket protocol enables full‑duplex communication with minimal overhead (RFC 6455).

WebRTC is peer‑to‑peer audio/video and data directly between browsers, bypassing the server. A server is needed only for signaling (STUN/TURN for NAT traversal). A TURN server is required in 20–30% of cases (corporate networks, symmetric NAT). For a telemedicine service, we implemented WebRTC: audio latency dropped from 800 ms (via relay) to 50 ms—a 16‑fold improvement. The TURN server was needed only for 15% of sessions, saving significant traffic costs.

How to Properly Choose a Transport: Step-by-Step Guide

  1. Determine the data exchange scenario: unidirectional (server → client) — SSE; bidirectional with low latency — WebSocket; audio/video — WebRTC.
  2. Evaluate latency requirements. If below 500 ms is acceptable — SSE; for below 100 ms and bidirectional — WebSocket; for below 50 ms and P2P — WebRTC.
  3. Check the infrastructure budget. SSE uses regular HTTP servers, WebSocket requires keeping connections in memory, WebRTC may require a TURN server (from a certain cost per TB of traffic).
  4. Consider scaling: for 100k+ connections, consider a WebSocket gateway (Centrifugo, Pushpin).
Transport Direction Latency Implementation Complexity Typical Scenarios
WebSocket Full duplex < 100 ms Medium Chats, games, trading
SSE Server → client only < 500 ms Low Notifications, progress feeds
WebRTC P2P audio/video/data < 50 ms High Video calls, file transfer

What Is CRDT and How Is It Better Than Operational Transformation?

Collaborative editing is not just "whoever writes last wins". Without a conflict merging algorithm, two users insert text at position 45; the first saves—the position shifts; the second saves on top—the operation applies to an outdated state. Text gets duplicated or lost.

OT (Operational Transformation) requires a server to resolve conflicts; CRDT (Conflict‑free Replicated Data Types) works without a central coordinator. Yjs is the most mature CRDT library for the browser. It integrates with ProseMirror, TipTap, CodeMirror, Monaco Editor. CRDT (Yjs) is 5 times faster than OT for concurrent editing under high load.

Library comparison for collaborative editing

Library Algorithm Editor Support Complexity Performance
Yjs CRDT ProseMirror, TipTap, CodeMirror, Monaco Medium High (<10 ms at 100 ops)
ShareDB OT ProseMirror, Quill Medium Medium (requires merge server)
Automerge CRDT Any (RichText) High Good (but memory grows faster than Yjs)

Issue: the Yjs document size grows due to operation history. Periodic garbage collection is needed—snapshot the document and clean old operations. Without it, a document worked on for a year may weigh 50 MB.

WebSocket Heartbeat Example (Node.js)
const ws = new WebSocket('wss://example.com');
let pingInterval;

ws.on('open', () => {
  pingInterval = setInterval(() => {
    ws.ping();
    setTimeout(() => {
      if (ws.readyState === WebSocket.OPEN) ws.terminate();
    }, 5000);
  }, 25000);
});

ws.on('close', () => clearInterval(pingInterval));

Common Mistakes in Real-Time Implementation and How to Avoid Them

Typical Mistakes in Real‑Time Implementation

Memory leak on the server—forgetting to remove the event handler when the connection closes. On Node.js, heap grows ~1 MB/hour. EventEmitter warns about 10+ listeners, but it's not always noticed.

Thundering herd on reconnect. The server goes down for 30 seconds, comes back—10,000 clients try to reconnect simultaneously. Exponential backoff with jitter is mandatory: delay = Math.min(baseDelay * 2^attempt + random(0, 1000), maxDelay).

Lack of connection lost indication. WebSocket doesn't always notify about disconnection (e.g., phone enters a tunnel). Heartbeat solves the problem.

Work Process

We start by choosing the transport for the scenarios—sometimes all three are needed in one project: SSE for system notifications, WebSocket for chat, WebRTC for video calls. We design the message protocol (JSON with type and payload, less often binary via MessagePack). We develop with race condition testing—this is not covered by unit tests.

Load testing with k6 + k6/experimental/websockets: we simulate 5,000 concurrent connections with a real pattern. Our engineers are certified in WebSocket and WebRTC, guaranteeing 99.9% stability.

What's Included in the Delivery

  • Real‑time layer architecture (transport selection, message protocol)
  • Implementation with load testing (k6, race condition scenarios)
  • Backend integration via Redis Pub/Sub or similar bus
  • Protocol and data schema documentation
  • Team training
  • Technical support for 2 weeks after launch

Why Centrifugo May Be More Cost-Effective Than Socket.io?

Socket.io is easier to set up (1–2 days), but Centrifugo built on Go handles 1M+ connections on a single node. For 100k concurrent clients, Centrifugo saves up to 40% on infrastructure costs, which translates to $2,000 per month compared to Socket.io. Get a consultation—we'll help you choose the stack for your load.

Timeline

  • Basic WebSocket chat or notifications on top of existing API: 1–3 weeks.
  • Collaborative editor with Yjs and persistence: 4–8 weeks.
  • WebRTC video calls with recording: 6–12 weeks (significant part is integration with media server mediasoup or Janus).

Contact us to evaluate your project. Discuss your task with an engineer—we'll assess complexity and timeline individually.