I’m building a smart lead-generation engine that reacts in real time to prospects’ behavior and funnels the best opportunities straight into our sales stack. Here’s what I need: – Triggers • User behavior across our website (page views, dwell time, exit intent, etc.) • Social-media engagement picked up through the relevant platform APIs • Any other trackable movements we expose via custom or third-party APIs – Target verticals • B2B services • Real-estate investors, brokers and developers – Automated actions • Instantly email our sales team with a short, templated summary when a prospect meets a scoring threshold • Capture and enrich contact details in our CRM (HubSpot/Salesforce—final choice is flexible) • Generate a concise daily report that highlights trigger frequency, lead scores and conversion potential I’ll supply the initial scoring logic and sample data; you’ll turn it into a production-ready solution. Preferred stack is Python (FastAPI) or Node.js with an ML library of your choice for adaptive scoring, but I’m open to alternatives if you can justify them. Key acceptance criteria 1. Triggers fire within five seconds of the qualifying event. 2. Lead score accuracy ≥ 85 % against our validation set. 3. All captured data passes basic GDPR compliance checks and lands correctly in the CRM. 4. Clear documentation plus a Docker file so I can spin it up on AWS or DigitalOcean without surprises. If you’ve built similar real-time lead engines—or you can demo a quick proof of concept—let’s talk.