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LeadFilter AI

Autonomous B2B Lead Triage Engine

StackNext.js 16React 19Gemini AISupabaseLemonSqueezyFramer Motion

The Product & Mission

LeadFilter AI is a mission-critical, autonomous inbound lead triage and qualification engine engineered specifically for high-growth B2B companies and enterprise sales teams. It acts as an invisible, intelligent layer between marketing sites and sales CRMs. By providing businesses with a single, highly resilient universal webhook URL, LeadFilter AI seamlessly integrates into any existing form provider (Webflow, WordPress, Typeform, custom HTML). Upon submission, it leverages advanced Gemini AI orchestration to instantly dissect the payload, extract crucial business data, assign a definitive 0-100 lead score, and route the intelligence to the appropriate sales channels—all in under 2 seconds.

Target Audience

High-ticket service agencies, premium consultancies, and B2B SaaS organizations whose sales pipelines are constantly bloated by low-budget tire-kickers, spam bots, and unqualified leads.

The Core Problem

Top-tier sales representatives waste thousands of hours annually manually reviewing, researching, and disqualifying bad form submissions. LeadFilter AI entirely automates this massive bottleneck. By instantly ingesting payloads, assessing deep budget credibility, cross-referencing company domains, and evaluating timeline urgency, it categorizes leads into actionable tiers (Hot, Warm, Cold, Spam), allowing sales teams to hyper-focus strictly on high-intent, high-ticket enterprise prospects.

Architectural Deep Dive

High-Concurrency Webhook Ingestion Engine

Sub-2-Second Total Triage

Architected a highly scalable, edge-ready Next.js API Route explicitly designed to accept and normalize unpredictable, messy JSON or Form-Data payloads from any modern web form across the internet.

  • Universal CORS & Multi-Format Support: Built a highly resilient `/api/v1/inbox/[apiKey]` endpoint that acts as a universal adapter, gracefully handling massive variations in payload structures without breaking.
  • Edge-Ready Processing: Utilized Next.js Server Actions and Edge-optimized APIs to ensure incredibly fast, secure data ingestion and instant, low-latency forwarding to webhooks like Slack, Discord, and Zapier.

AI Intent & Scoring Pipeline

0-100 Intent Scoring

Engineered a sophisticated AI evaluation pipeline utilizing Gemini AI to synthesize raw, chaotic form data into highly structured, actionable RevOps intelligence.

  • Deep Semantic Data Extraction: Programmed the LLM with complex rubrics to accurately extract contact data, estimate true budget intent, verify company legitimacy, and definitively flag 'Red Flags' (e.g., student inquiries) vs 'Positive Signals' (e.g., immediate enterprise needs).
  • Multi-Model Fault Tolerance: Implemented an autonomous, automatic fallback system across the entire Gemini model family to ensure the triage engine maintains 99.99% uptime, recognizing that dropped leads equal lost revenue.

Real-Time Sales Triage Terminal

Real-Time DB Triggers

Designed a premium, executive-grade (Dark Emerald) RevOps terminal that serves as the central command center for elite sales teams.

  • PostgreSQL Real-Time Aggregation: Implemented complex, database-level SQL triggers to instantly calculate and aggregate metrics (e.g., 'Total Hot Leads', 'Spam Blocked') and synchronize these state changes across all active dashboard clients using Supabase Realtime.
  • High-End B2B Aesthetic: Applied a highly sophisticated, authoritative visual identity using Tailwind CSS v4 and fluid Framer Motion micro-interactions, ensuring the platform feels like a $10,000/month enterprise tool.
  • Atomic Billing & Access: Integrated LemonSqueezy to handle complex subscription tiers, instantly upgrading webhooks to 'Pro' status via secure backend webhooks.

Mastery & Skills Acquired

High-Concurrency Webhook ArchitectureResilient LLM Multi-Model OrchestrationAdvanced PostgreSQL Triggers & RealtimeEnterprise-Grade UI/UX Engineering

Post-Mortem: What I Learned

LeadFilter AI fundamentally shifted my perspective on building B2B software. By hyper-focusing on solving a single, massive pain point (lead qualification) through an invisible, highly reliable backend engine, I learned how to engineer 'sticky' infrastructure that businesses rapidly become entirely dependent on for their daily operations.

Notes for Technical Recruiters

The architecture of LeadFilter AI provides concrete proof of my ability to design complex, high-volume data ingestion pipelines and exceptionally resilient AI workflows. It demonstrates a profound understanding of B2B operational pain points, RevOps automation, and the execution of premium, enterprise-grade software.

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© 2026 M M Afraz. All rights reserved.

M M AFRAZ

LeadFilter AI — Autonomous B2B Lead Triage Engine | Muhammed Mufinuddin Afraz