Transform raw network data into actionable insights.
🚀 Features • 🧠 Problem & Solution • ⚔️ Comparison • 🏗 Architecture • ⚙️ Installation & Setup • 🎯 Use Cases • 👨💻 Author
NetChronaix Zenith V10 is a next-generation network monitoring and analytics platform tailored for developers, gamers, and system analysts seeking in-depth visibility into network performance.
In contrast to conventional speed testers, NetChronaix offers:
- Real-time telemetry
- AI-enhanced diagnostics
- Historical analytics
- Professional reporting tools
⚡ Stop speculating about your network performance. Start measuring it intelligently.
High-precision speed testing engine with progressive probing
AI-powered diagnostics with real-time health scoring
Advanced telemetry dashboard with historical insights
Automated scheduler for continuous monitoring
Live file transfer monitoring with ETA prediction
Modern internet users often depend on outdated tools that only address a single question:
"What is my speed right now?"
However, real-world performance encompasses much more:
- ❌ Lack of visibility into jitter spikes
- ❌ Inability to detect packet loss
- ❌ No understanding of network stability over time
- ❌ No means to prove ISP underperformance
- ❌ No actionable insights — merely raw numbers
NetChronaix Zenith converts raw network tests into intelligent diagnostics.
Rather than providing a mere snapshot, it delivers:
- 🧠 AI-driven analysis → Comprehend why your network behaves as it does
- 📊 Continuous telemetry → Monitor performance over time
- 🗺️ ISP congestion insights → Recognize peak throttling periods
- 📄 Proof-based reporting → Create professional audit reports
- ⚡ Real-time anomaly detection → Identify issues before they affect you
🚀 Transition from “checking speed” → to “understanding network behavior”
| Feature | NetChronaix Zenith | Speedtest | Fast.com |
|---|---|---|---|
| Speed Measurement | ✅ | ✅ | ✅ |
| Jitter Analysis | ✅ | ❌ | ❌ |
| Packet Loss Detection | ✅ | ❌ | ❌ |
| AI-Based Insights | ✅ | ❌ | ❌ |
| Historical Tracking | ✅ | ❌ | ❌ |
| ISP Congestion Heatmaps | ✅ | ❌ | ❌ |
| Proof Reports (PDF) | ✅ | ❌ | ❌ |
🥇 NetChronaix is not merely a tester — it is a comprehensive network intelligence system
- Real-time Network Health Score (0–100)
- Natural language performance summaries
- Automatic anomaly detection
- Historical performance tracking
- Visualization of jitter, latency, and packet loss
- Multi-session comparisons
- Time-of-day performance insights
- Identification of throttling patterns
- Weekly trend analysis
- Generate professional PDF reports
- Share performance audits with ISPs
- Detailed performance logs
- Gaming Mode → latency-focused
- Streaming Mode → throughput-focused
- Automated test intervals
- Continuous monitoring
- Zero manual effort
| Layer | Technology |
|---|---|
| Frontend | React 19 + Vite |
| Backend | Supabase (PostgreSQL + Auth + Realtime) |
| Visualization | Recharts |
| Reporting | jsPDF + AutoTable |
| Styling | CSS3 (Glassmorphism UI) |
| Engine | Custom Fetch/XHR Probing Logic |
- 🔐 Row Level Security (RLS)
- 🔑 Secure environment variables
- 💾 Local persistence for performance
- 🚫 No unauthorized data exposure
git clone https://github.com/sonararadhya/NetChronaix.git
cd NetChronaix
npm installVITE_SUPABASE_URL=your_project_url
VITE_SUPABASE_ANON_KEY=your_anon_keynpm run dev- Detect micro-lag, jitter spikes, and unstable ping
- Optimize connection for competitive gameplay
- Ensure stable Zoom/Meet calls
- Identify hidden instability affecting productivity
- Analyze congestion patterns over time
- Validate infrastructure performance
- Debug API latency and backend delays
- Monitor real-world network conditions
- Collect structured telemetry data
- Conduct trend analysis and performance modeling
- Merges network engineering + AI intelligence
- Addresses real-world connectivity challenges
- Developed with a modern production-grade stack
- Emphasizes performance, user experience, and analytics
- Showcases full-stack + system design expertise
Aradhya Sonar
Full-Stack Developer | AI Enthusiast | Network Systems Builder
📍 Pune, India
🔗 GitHub: https://github.com/sonararadhya
💼 LinkedIn: https://www.linkedin.com/in/aradhya-sonar/
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📝 Last maintained: September 22, 2026 at 19:00 UTC