A fully autonomous multi-agent pipeline that discovers decision-makers, enriches contact profiles, scores ICP fit, and drafts personalized outreach - delivering 400+ qualified leads per week with zero manual effort.
Each stage is a dedicated AI agent. LangGraph orchestrates the full workflow end-to-end — no human in the loop required.
🔍
Stage 1: Discovery
Hunter.io domain search identifies decision-makers at target companies. Filters by seniority: C-Suite, VP, Director, Manager.
⚡
Stage 2: Enrichment
Apollo.io adds company intelligence: funding stage, revenue, headcount, tech stack, headquarters, and industry classification.
🎯
Stage 3: Qualification
ICP scoring engine (0–100) evaluates each lead against configurable criteria. Only leads scoring 60+ advance to outreach.
✉️
Stage 4: Outreach
GPT-4o-mini drafts personalized cold emails referencing funding signals, role context, and company-specific intelligence.
System Design
Enterprise Architecture
A multi-agent LangGraph system where each agent is independently deployable, testable, and replaceable — built for production scale.
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Target Domains
Input Layer
→
🧠
Orchestrator
LangGraph
→
🤖
AI Agents
4 Specialized
→
🗄️
Export Layer
Supabase + CSV
→
📡
REST API
FastAPI
Data Sources
Hunter.io Domain Search
Apollo.io Enrichment
Email Verification
Company Intelligence
Intelligence Layer
ICP Scoring (0–100)
GPT-4o-mini Outreach
LangGraph Orchestration
Configurable ICP Criteria
Infrastructure
Supabase PostgreSQL
FastAPI + Uvicorn
Docker + Railway
Custom Domain (leads.datawebify.com)
Live Endpoints
Production REST API
The full pipeline is exposed as a REST API. Any CRM, dashboard, or automation workflow can trigger lead generation via a single HTTP call.
GETleads.datawebify.com/docsInteractive Swagger UI — full API documentation
POSTleads.datawebify.com/pipeline/runTrigger the full pipeline for a list of target domains
GETleads.datawebify.com/pipeline/status/{job_id}Check progress of a running pipeline job
GETleads.datawebify.com/leadsRetrieve qualified leads with optional score filter
GETleads.datawebify.com/metricsLive pipeline performance metrics and enrichment rates
Capabilities
Enterprise Features
Every feature designed to meet enterprise deployment standards — not a prototype.
🎯
Configurable ICP Scoring
Define your Ideal Customer Profile once. The qualification agent scores every lead 0–100 against your industry, location, headcount, funding stage, and tech stack criteria.
✉️
Hyper-Personalized Outreach
GPT-4o-mini generates unique cold emails per lead, referencing their funding round, role, company signals, and growth trajectory — not a mail-merge template.
🔗
Multi-Source Enrichment
Combines Hunter.io email discovery with Apollo.io company intelligence to build the most complete lead profile possible from available data.
⚙️
LangGraph Orchestration
Each agent is a node in a directed graph. Failed stages retry automatically. The pipeline handles partial data gracefully without crashing the whole run.
📊
Dual Export Layer
Every qualified lead saves to both Supabase PostgreSQL and a timestamped CSV simultaneously — CRM-ready format, query-ready database.
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Production API + Deployment
FastAPI wrapper with background job processing, job status tracking, and live metrics endpoint. Deployed on Railway with a custom domain and Docker container.
Technical Stack
Built With Enterprise-Grade Tools
Production-proven technologies selected for reliability, scalability, and maintainability.
Python 3.12
Core Runtime
LangGraph
Agent Orchestration
GPT-4o-mini
AI Engine
Hunter.io
Lead Discovery
Apollo.io
Data Enrichment
Supabase
PostgreSQL
FastAPI
REST API
Docker
Containerization
Railway
Cloud Deploy
Business Impact
The ROI Case
Every metric tied to a measurable business outcome — built for decision-makers, not just developers.
Problems Solved
Sales teams spending 20–40 hours per week on manual prospecting and contact research
Inconsistent lead quality with no standardized ICP scoring or qualification criteria
Generic outreach emails producing sub-1% reply rates from cold prospects
Data scattered across Apollo, Hunter, LinkedIn with no single enriched record
No API — prospecting locked to manual workflows with zero CRM integration
Performance Benchmarks
Metric
Before
After
Change
Time per lead
3–5 min
~18 sec
93% faster
Leads per week
50–80
400+
5x increase
Email verification
~60%
85%+
+25pp
Outreach drafting
10–15 min
Instant
100% automated
Weekly hours saved
Baseline
35+ hrs
Eliminated
Engagement Model
Deploy This for Your Business
Custom deployments built to your ICP, CRM stack, and outreach workflow. Fixed-scope engagements with defined deliverables.
I build and deploy custom B2B lead generation systems for sales teams that are done with manual prospecting. Typical engagement: $8K–$35K. Production-ready delivery.