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Tired of wasting hours manually cleaning and qualifying outbound lists?
Most GTM teams rely on guesswork or broad filters that let bad data slip right into their CRM.
To fix this, I built a custom, automated multi-pillar lead scoring system inside Clay called the RIGS framework.
Here is how it evaluates and scores every account instantly:
* Risk (R): Instantly validates email deliverability and catches missing contact records.
* Intent (I): Confirms precise market and niche fit (e.g., B2B SaaS alignment).
* Growth (G): Evaluates organizational scale based on real-time employee count thresholds.
* Stakeholder (S): Verifies that the right decision-maker or contact name is present.
By running this through an automated workflow, every row gets a clean, dynamic integer score from 0 to 4 before a single email ever goes out.
Clean data in, high-converting pipeline out.
What does your current lead qualification stack look like?
Let’s connect in the comments!
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Mail Hauler Pro Email Marketing & Automation SaaS
Developed Mail Hauler Pro, an enterprise-grade email marketing and automation platform built to support 12,400+ marketing teams.
We created the complete SaaS product from campaign management and multi-inbox operations to email deliverability monitoring and real-time performance analytics. The platform helps teams manage high-volume outreach, automate campaigns, protect sender reputation, and handle replies from one unified workspace.
Key features:
• Automated email campaigns and sequences
• Multiple sending-account management
• Automated email warm-up
• Unified inbox for managing replies
• Lead import and subscriber management
• Lead generation workflows
• Bounce and deliverability monitoring
• Sender health tracking
• Real-time campaign analytics
• Infrastructure for high-volume email operations
Technology:
React, Next.js, Node.js, MongoDB
Status:
Live and scaling Private Beta v1.0
I help businesses build effective email marketing systems and automated workflows that capture leads, nurture prospects, and keep customers engaged without relying on repetitive manual tasks.
I built an AI system that finds and contacts business leads automatically — every day, while you sleep.
A client in the UK runs a waste removal marketplace. He needed contractors to join his platform but had no way to find them at scale.
So I built him a system that does it automatically.
Every morning at 6am, without anyone touching a button:
The system scrapes Checkatrade, the UK Environment Agency, Gumtree, and Yell for waste removal contractors
Each lead gets scored out of 10 based on reviews, licensing, and contact details
Bad data gets cleaned out automatically
Personalised outreach messages are prepared for the best leads
The client opens his dashboard, sees who's ready to contact, and sends an SMS in one click
The database now has 2,300+ verified contractor leads and grows every day.
The whole thing runs on 9 AI agents that work like a real team. There's a CEO agent that reads instructions in plain English and delegates to specialists — a Lead Scorer, Deduplication Agent, Outreach Agent, Reporting Agent, and more. The client can type something like "find the top 50 contractors in East London and prepare messages for them" and it happens automatically in a few minutes.
No technical knowledge needed on his end. Just a dashboard and a send button.
What I used:
Claude AI · Paperclip · Python · Node.js · PostgreSQL · Twilio SMS · Docker · Custom scrapers
This kind of system works for any business that needs to:
Find leads from multiple sources automatically
Score and filter them by quality
Reach out at scale without a sales team
If that sounds like something your business needs, let's talk.
