AI-powered LinkedIn tracking app that helps B2B sales teams identify and act on real-time engagement signals for smarter prospecting.

Lead Gen AI tracking app

Law
5 min read
July 1, 2025
Javascript
HTML
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Client & The Problem

A B2B sales team needed a smarter, more timely way to engage prospects on LinkedIn. Traditional tools lacked the ability to detect engagement opportunities or recommend the right contacts. They wanted a prototype that could identify “hot moments” in real-time and guide their outreach using LinkedIn activity signals.

Solution

We built a LinkedIn Tracking App prototype that monitors both company pages and individual profiles. Users input a company LinkedIn URL, and the system leverages AI to rank potential contacts based on relevance and engagement signals. Real-time tracking identifies events like job changes, new posts, and connection acceptances—triggering in-app notifications and recommended actions for sales teams.

Results

The prototype demonstrated how AI and automation can supercharge B2B prospecting. It enabled timely, personalized outreach that aligned with prospect activity. Sales teams could now move from reactive to proactive engagement with improved lead targeting and timing.

Stack

  • Frontend & Backend: React.js, Python

  • AI Services: AI Analysis Service for engagement scoring

  • Infrastructure: AWS (EKS, EC2, CloudFront, RDS, S3)

  • Data Services: MongoDB, PostgreSQL, Data Warehouse

  • Authentication: OAuth 2.0, JWT, Auth Service

  • Monitoring & Logs: Logging & Monitoring services

Timeframe

3 months for MVP delivery