How We Built SignalLoop: From RSS to Real-Time AI Posting

The Problem

As founders, we know the struggle: you're building an amazing product, shipping features, fixing bugs, and talking to customers. But when it comes to keeping your audience updated across Twitter, LinkedIn, Slack, and Discord? That's where things fall apart.

We found ourselves copying and pasting the same updates across multiple platforms, reformatting for each one's character limits and best practices. It was tedious, time-consuming, and honestly, we'd often just skip it entirely.

The Vision

We imagined a world where your content pipeline runs on autopilot. Write a blog post, push a GitHub release, or update your changelog—and SignalLoop automatically creates platform-optimized posts and distributes them everywhere your audience hangs out.

The Tech Stack

We built SignalLoop with modern, battle-tested technologies:

• FastAPI for a blazing-fast Python backend
• Next.js for a responsive, SEO-friendly frontend
• OpenAI GPT-4 for intelligent content summarization
• PostgreSQL for reliable data storage
• Celery for background job processing

Key Features

SignalLoop monitors your RSS feeds, sitemaps, and GitHub repositories for new content. When something new appears, our AI analyzes it and generates platform-specific summaries. You can review, edit, and approve posts before they go live—or set up automatic publishing rules.

What's Next

We're just getting started. Our roadmap includes analytics dashboards, A/B testing for post variations, and integrations with more platforms. We're building SignalLoop in public and would love your feedback.