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LiveSuite tracks pump.fun livestreams in real-time, providing accurate data on viewer counts, streaming sessions, and token activity. Everything updates automatically as streams go live or go offline.

Live Stream Tracking

We continuously monitor all active streams, updating data every 30 seconds to keep everything current. What We Track:
  • Active livestreams across the platform
  • Viewer counts for each token
  • Stream status (live/offline)
  • New token launches
  • Session start and end times
We monitor streams using multiple methods to catch all active streams and ensure we don’t miss anything.

Streaming Sessions

Every stream gets tracked as a session with start time, duration, and viewer metrics. How Sessions Work:
  1. Starts - When a stream goes live, a new session begins
  2. Updates - Viewer counts and duration update while streaming
  3. Resumes - If a stream pauses and comes back, the session continues
  4. Ends - When offline, the session is saved with total stats
Session Data Includes:
  • Start and end timestamps
  • Total streaming duration
  • Peak viewer count
  • Average viewers
  • Total streaming time

Viewer Tracking

Real-time viewer counts keep everything current. Data Collection:
  • Viewer snapshots every 30 seconds
  • Peak viewer tracking
  • Historical viewer charts
  • Aggregate statistics
Viewer Metrics:
  • Current viewers per token
  • Total viewers across platform
  • Average viewers per stream
  • Peak concurrent viewers (all-time)
  • Viewer trends over time

User Activity Tracking

Beyond basic viewer counts, we track detailed user movements and activity patterns. Movement Tracking:
  • Join and leave events
  • Token-to-token movements
  • Quick movements (<30s)
  • Normal movements (<2min)
  • Long movements (<10min)
Message Tracking:
  • Chat message collection
  • Message-based join detection
  • User message history per token
  • Message frequency analysis
Use Cases:
  • Understanding user flow between tokens
  • Detecting coordinated activity
  • Analyzing engagement patterns
  • Tracking individual user journeys

Metric Snapshots

We collect comprehensive platform metrics every 10 minutes, creating a historical record of platform health. Metrics Captured:
  • Total viewers (current aggregate)
  • Live streamers count
  • Average session duration
  • Longest active session
  • Sessions started today
  • Total streaming time (all-time)
  • Current active time
This data powers our historical charts and trend analysis, letting you see how the platform has grown over time.

Real-Time Updates

Everything updates automatically. You don’t need to refresh pages—data flows in real-time. Update Channels:
  • Global Stats - Platform-wide statistics
  • Token Updates - Individual token viewer counts
  • New Tokens - Alerts when tokens launch
  • Trending Updates - Trending token changes
  • Analytics - Analytics updates when ready
Update Frequency:
  • Viewer data: Every 30 seconds
  • Global stats: Every 30 seconds
  • Metric snapshots: Every 10 minutes
  • Analytics: Updates automatically when ready

Status Detection

We automatically detect whether streams are live or offline. Live Detection:
  • Streams with active viewers
  • Recent activity indicators
  • Session validation
Offline Detection:
  • Inactive for extended periods
  • No viewer activity
  • Session completion
This powers our filtering options, letting you see only live streams or only offline ones when needed.

Search & Filtering

Sorting Options:
  • By viewers (highest first)
  • By streaming time (longest first)
  • By market cap (largest first)
  • By creator fees (most earned)
Filters:
  • Market cap thresholds
  • Live/offline status
  • Time-based (new tokens, trending)
  • Search by name, symbol, or mint ID

Using Tracking Data

For Streamers:
  • Monitor your viewer counts in real-time
  • Track session history and consistency
  • See your peak performance metrics
  • Understand your streaming patterns
For Traders:
  • Spot opportunities early
  • Track token activity and engagement
  • Identify trends before they peak
  • Monitor user movements between tokens