SignalSpy: Full-Stack App for Buying Signal Monitoring and Outreach

Build me a full-stack web app called SignalSpy. The goal of this app is to monitor online platforms and surface high-intent "buying signals" from users, then generate actionable outreach and content based on those signals. - Continuously scan Twitter/X (search queries like: "looking for", "anyone recommend", "need help with"), Reddit (subreddits like r/Entrepreneur, r/SaaS, r/Marketing), and LinkedIn-style posts (simulate if needed) - Allow user to input custom keywords (e.g. "AI tools", "dentist marketing", etc.) - Identify posts that indicate purchase intent, pain points, and requests for recommendations - Score each signal based on intent strength, urgency, and relevance - Build a clean dashboard showing a feed of signals with platform source, intent score, and a short summary - Include filters for platform, keyword, and intent level - For each signal, generate a cold DM, email outreach, public reply (tweet/comment), and a content idea (tweet/thread/video angle) - Each output should be personalized to the original post, match tone (casual, professional, etc.), and be concise and high-converting - Let users click to generate outreach, save lead, mark as contacted, and optionally export leads to CSV - Include a basic login system and save user keywords + past signals - Design should be a modern SaaS UI with dark mode, clean cards for each signal, minimal, fast, and not cluttered - Tech stack: React / Next.js frontend, Node.js or Python backend, use APIs or mock data if needed, prioritize a working prototype over perfection - Bonus: real-time updates, notifications for high-intent signals, and a "hot leads" section Start by building the UI dashboard, simulate signal data, then layer in AI generation I want a working prototype I can interact with