Live Visitors

Real-time analytics of current website visitors

Total Live

4

👤

Humans

0

🤖

Bots

3

🧠

LLMs

1

Locations

US
3
DE
1

Activity Trend

7:56:08 AM1 visitors
8:01:08 AM3 visitors
8:06:08 AM2 visitors
8:11:08 AM2 visitors
8:16:08 AM5 visitors
8:21:08 AM5 visitors

Current Sessions

TypeLocationDevicePagesLast Activity
🤖 botUS
Linux - Chrome
mobile
/ni
8:16:45 AM
🧠 llmUS
unknown - unknown
desktop
/live
8:21:08 AM
🤖 botUS
Linux - Chrome
mobile
/ni
8:16:45 AM
🤖 botDE
unknown - unknown
desktop
/
8:21:04 AM

⚙️How It Works

This real-time analytics system tracks website visitors using modern web technologies and provides privacy-compliant insights without storing personal information.

Technical Architecture

🔧 Storage & Performance

  • Deno KV: Edge-distributed key-value database
  • TTL: 5-minute session expiration for accurate counts
  • Atomic Operations: Consistent counters with race condition protection
  • Background Cleanup: Automatic expired session removal

🔄 Real-time Updates

  • Server-Sent Events: Live data streaming to browsers
  • 10-second intervals: Balanced between accuracy and performance
  • Auto-reconnection: Resilient connection handling
  • Middleware tracking: Seamless session management

User Classification

👤 Humans

Real visitors using browsers with typical user-agent patterns and JavaScript capabilities.

🤖 Bots

Search crawlers, monitoring tools, API clients, and automated browsers.

🧠 LLMs

AI language models like GPTBot, ClaudeBot, PerplexityBot, and other LLM crawlers.

Privacy & Data

  • ✅ No personal data: Only aggregate anonymous metrics
  • ✅ Location headers only: Country/region from CDN headers (no IP storage)
  • ✅ GDPR compliant: No tracking cookies, session-based identification
  • ✅ Automatic cleanup: All data expires automatically via TTL

Technical Details

Session Management: Each visitor gets a temporary session ID (5-minute TTL) to track page visits and activity without persistent identification.
Data Structure: Sessions stored as ["live_sessions", sessionId]with atomic counters at ["live_count", "total"] for consistency.
Trend Analysis: Activity aggregated in 5-minute buckets at ["live_trend", timestamp] for historical insights.
Scalability: Distributed KV storage with edge caching enables global deployment while maintaining real-time performance.
← Back to Home
...
Live Visitors
👤 Humans:0
🤖 Bots:0
🧠 LLMs:0
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