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Developed an automated email outreach system that imports contact data from CSV, generates personalized messages with template variables like name and company, and processes campaigns in bulk. The tool supports safe dry-run previews, SMTP-based sending, and send-log exports, making it useful for lead generation, follow-up automation, and scalable business communication.
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AI-Powered Outreach Automation (n8n)
Built a workflow that turns outreach into a structured pipeline.
The system:
• Pulls verified leads from Supabase
• Uses AI to generate personalized emails
• Sends outreach via Gmail
• Monitors replies and analyzes sentiment
• Routes responses automatically (book meeting, review, or archive)
• Sends follow-ups if there’s no reply after 48 hours
Result: a fully automated pipeline that moves leads → conversations → booked meetings.
Designed for creators, agencies, and teams running outbound outreach at scale.
Nice workflow. Using AI to personalize outreach and track replies in one pipeline is really useful.
I’m excited to share something I’ve been building Soyomu.com.
While working on email campaigns, I realized how difficult it can be to find quality leads and ensure email addresses are valid before outreach. Many tools are either too complex or too expensive for growing businesses.
So I built Soyomu ; a platform that helps businesses find targeted leads and automatically verify email addresses to improve deliverability and reduce bounce rates.
The goal is simple: help teams run smarter outreach with clean, reliable contact data.
Check it out: https://soyomu.com
#buildinpublic #saas #leadgeneration #emailverification #startups
Nice work Bro
Built a full-stack AI automation system that transforms how the company responds to RFPs.
Users upload RFP documents (PDF/Excel) through a web portal. An n8n pipeline processes the upload: AI parses the document to extract key fields (issuer, scope, budget, deadline), classifies the service line, matches content from an Airtable library (team bios, references, portfolio), and generates 80-90% complete proposal drafts with cover letter, company overview, technical approach, and more. Output is a formatted Word document ready for review.
Results:
✅ Reduced proposal creation from 4-6 hours to under 30 minutes
✅ 90% auto-complete rate on proposal sections
✅ 14+ RFPs processed through the pipeline
✅ Full proposal dashboard with status tracking
Tech: n8n, OpenAI, Airtable, Vercel, Webhooks
This is a really interesting automation workflow, Peter. Using AI to parse RFPs and streamline proposals is a smart use case.
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