🚀 How We Built Blazephone: An AI-Powered Cloud Phone System for Modern Teams

Hey devs! 👋

I’m Rome, founder of Blazephone, and I wanted to share a quick look at how we built our AI-powered business phone system.

💡 The Problem

Most phone systems are stuck in the past: clunky, expensive, and not built for modern teams. We set out to build something that:
• Works out of the box, no code required
• Uses AI for smarter routing, summaries, and automation
• Integrates seamlessly with CRMs and support tools
• Offers transparent pricing for startups and scaling teams

⚙️ The Stack

We built Blazephone using:
• Node.js + Firebase for backend and cloud functions
• React + Tailwind for a clean, fast UI
• Supabase for structured data and SMS logs
• OpenAI for AI-powered summaries and auto-replies
• Twilio + MessageBird for global telephony and WhatsApp
• Intercom + Postmark for customer messaging and onboarding

🤖 AI Features

Blazephone uses AI to:
• Auto-route calls based on intent and availability
• Summarize and tag conversations
• Detect sentiment and flag priority messages
• Provide agent insights and performance data

🧠 Dev Notes
• WebRTC requires bulletproof failover for live calls
• Carrier switching based on real-time quality = essential
• Firebase queues + Supabase combo is a solid comms backbone
• AI models need curated input, especially for customer-facing responses

We’re live now and growing fast. If you’re building support tools, scaling a startup, or just hate bad call systems, check us out at https://blazephone.com. Feedback, testing, and dev collabs welcome!

Let’s build smarter communication together. 🔥