CasterClub SSL Certificate

This website is secured with a DigiCert TLS/SSL certificate.

  • Issued To: www.casterclub.com
  • Issued By: DigiCert Inc
  • Valid From: Jan 1, 2025
  • Valid To: Dec 31, 2025
  • Encryption: 256-bit TLS 1.3

Verified independently via your browser's certificate viewer.

Trigger.FM - MAX
Station #6420 Live 2000er 90er 80er 64 kbps MP3
Direct Link
Station Information
Station Name Trigger.FM - MAX
Server Type audio/aacp
Bitrate 64 kbps
Sample Rate 0
Primary Genre 2000er 90er 80er
Current Song Laid Back - Bakerman
Listeners Now 21
Listeners Peak 510
Server Location Earth
Server Software Icecast 2.4.0-kh15
Stream Status Online
Source Type audio
Outgoing kbit/s 3688 kbps
Host server17.streamserver24.com:44236
Mount Points 3 mounts
MountTypeBitrate ListenersPeakNow Playing
/mp3-256 audio/mpeg 256 k 9 510 Spice Girls - Wannabe (Radio Edit)
/mp3-128 audio/mpeg 128 k 2 9 Spice Girls - Wannabe (Radio Edit)
/aac-64 audio/aacp 64 k 10 22 Spice Girls - Wannabe (Radio Edit)
Tune-In Guide

Choose a connection type. If you hear dropouts or buffering, try a larger buffer. HTTP streams are routed through our secure proxy to prevent browser mixed-content blocks.

🔒 Premium Streaming

Log in for buffered proxy streaming with 4 quality tiers — no dropouts, secure HTTPS, and buffer tuning.

Log In Sign Up Free
Community Rating
/ 5.0
0 ratings
Your rating:
Click a star to rate
Reliability Score Good
82%
Listener Engagement 8.0/10
Technical Performance 10.0/10
Availability 8.4/10
Content Quality 6.5/10
Verification Streaming
Reachable Yes
Streaming Yes
Content Type audio/aacp
Latency 156 ms
Detected Bitrate 64 kbps
Quality Rating Good
Performance 85/10
Verified At 2026-03-29 05:19
Record Info
Stream Status Online
Source Type audio
Host server17.streamserver24.com:44236
Server Software Icecast 2.4.0-kh15
Server Location Earth
Last Updated 2h ago
AI Station Insights AI Offline
Our AI analysis engine is currently offline. When active, it will provide smart genre detection, content quality scoring, audience insights, and real-time stream health predictions for this station.
🧠 Smart Genre Detection 📊 Audience Insights ⚡ Health Predictions 📝 Auto Description 🎵 Music Mood Tags 💬 Listener Chat