Flagship B2B SaaS

    LeadFlow B2B SaaS: Automated Lead Scraping & AI Site Auditing Engine

    How we engineered an autonomous B2B lead generation engine with Google Maps scraper and 15-second AI site auditor processing 50,000+ leads daily.

    Industry: B2B Sales Tech & Lead Generation

    Project Overview & Scope

    LeadFlow (IIPL Lead) was engineered to solve high manual customer acquisition costs for tech agencies. It combines real-time Google Maps business data extraction with a 15-second automated website performance auditor that generates personalized PDF audit reports for cold outreach.

    50,000+Leads Scraped Daily
    3.2xCold Email Response Increase
    15 SecAverage AI Site Audit Speed
    99.9%Uptime on Vercel CDN
    Client Organization

    IIPL SaaS Lab

    10. Development Timeline

    10 Weeks (Initial MVP in 4 weeks, AI Audit Engine in 3 weeks, Pipeline Dashboards in 3 weeks).

    7. Technologies Used
    Next.js 15TypeScriptNode.jsPuppeteerPostgreSQLSupabaseOpenAI APITailwind CSS
    3. Business Challenge

    Core Problem Statement

    B2B sales teams were spending 20+ hours per week manually searching Google Maps for local business contacts, evaluating site speeds manually, and writing cold emails with low open rates (< 12%).

    4. Existing Operational Bottlenecks:

    • Manual data entry errors when copying business addresses and phone numbers
    • No automated way to evaluate site performance bugs before reaching out
    • Low cold email response rates due to generic un-personalized templates
    • Lack of centralized Kanban pipeline tracking for multi-agent sales teams
    5. Core Objectives

    6. Solution Delivered

    We engineered a full-stack Next.js 15 App Router platform with Puppeteer headless scraping microservices, PostgreSQL Pgvector indexing, and automated Node.js SMTP dunning pipelines.

    Target Key Objectives:

    • Automate Google Maps lead extraction with 99% email & phone accuracy
    • Build a 15-second AI site auditor running Lighthouse performance audits on demand
    • Triple cold email response rates via automated audit report attachments
    • Achieve sub-second database query speeds for multi-tenant sales accounts
    8. Engineering Deliverables

    Key Features Developed

    Google Maps Local Business Geolocation Scraper
    15-Second Headless Lighthouse AI Website Auditor
    Automated Cold Email Sequence & Dunning Trigger Engine
    Kanban Deal Stage Sales Pipeline Dashboard
    SMTP & Custom Domain Inbox Warm-Up Engine
    Real-Time Email Open & Link Click Tracking Telemetry

    9. Architecture Overview

    Built on Next.js 15 Server Components, the backend delegates heavy scraping and Lighthouse audits to asynchronous background worker queues, storing structured JSON lead payloads in Supabase PostgreSQL with Row Level Security.

    12. Performance & Speed Ratings:

    100/100Core Web Vitals Score
    < 800msLCP Page Load Speed
    0.00Cumulative Layout Shift (CLS)

    13. Business Outcomes

    • Reduced client customer acquisition costs (CAC) by 65% in 60 days
    • Scaled lead processing to 500+ active agency sub-accounts
    • Generated over 1.2 Million automated cold email outreach sequences

    15. Lessons Learned & Best Practices

    • Asynchronous headless worker queues prevent main-thread server timeouts during bulk site audits.
    • Personalizing cold emails with instant performance metrics dramatically boosts B2B conversion trust.

    17. Related Technologies:

    19. Related SaaS Products:

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