NewScriber
Autonomous, end-to-end AI podcast & voice briefing network. Scrapes tech and business news via Firecrawl, curates & scripts dual-host dialogues using Azure OpenAI, and renders high-fidelity multilingual voices via Gemini TTS.
The problem
In a world overloaded with feeds, news consumption has become a chore. We wanted a hands-free, hyper-personalized, multilingual audio briefing delivered before your first morning coffee.
NewScriber automates the entire ingestion-to-ear pipeline, compiling high-quality dual-host podcast episodes dynamically from real-time tech and business news.
What we built
- Go Orchestration & Webhooks. A high-performance Go engine acts as the central server, handling WhatsApp webhooks (Twilio/Meta), PostgreSQL user persistence, and serving a beautiful visualizer dashboard.
- Multi-Agent n8n Pipeline. A cron-driven workflow parses uncached articles using Firecrawl, triggers Azure OpenAI to filter, rank, and summarize the best 7-10 stories, and scripts natural alternating dialogues.
- High-Fidelity multilingual TTS. Maps dual-host speakers to native Gemini voice profiles (Alex & Sam for English, Marie & Pierre for French, Sofia & Marco for Italian, Nusrat & Fahim for Bangla) via OpenRouter.
- FFmpeg audio transcoding. Stitches mono PCM streams @ 24kHz and transcodes them into WAV, MP3, and OGG formats stored in Cloudflare R2, generating self-healing iTunes-compliant RSS feeds.
- Visualizer Workspace. A responsive control center dashboard allowing users to trigger drops, play episodes, review transcripts, and see summarized source attributions.
- Automated Podcast Delivery. Delivering high-fidelity multilingual audio drops directly to modern audio spaces like Spotify and Apple Podcasts—all fully automated and regionally scheduled for perfect morning timing and fresh daily source ingestion.
What we learned
Built in a high-intensity sprint for the AI Agent Olympics (Milan AI Week Hackathon 2026), NewScriber offers a zero-app, zero-scroll, zero-noise morning news ritual.
The platform proves that complex multi-agent orchestration, high-fidelity TTS synthesis, and containerized operations can be combined into a seamless consumer-ready product in a single week.
Collaboration & Origin
The core product concept originated from Fauzul, who envisioned a hands-free, hyper-personalized audio news briefing. Asif validated the market need, supported the strategic push for the Milan Hackathon, and actively shaped the MVP scope.
Wasif provided vital API infra support for dev-to-prod agility and shared critical architectural insights from his past work with web scraping and text-to-speech pipelines to speed up delivery.
