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Gaurav 's avatar
Gaurav
Madrid, Spain
Founder of Kazfen | AI Agents, SaaS & Automation
New to Contra
Founder of Kazfen | AI Agents, SaaS & Automation
Cover image for Kazfen Lead Capture Engine —
Kazfen Lead Capture Engine — AI Intake System for Roofing Contractors Built the lead intake layer powering Kazfen’s AI pipeline. The system captures homeowner requests, structures job data, and feeds the AI engine for qualification, prioritization, routing, and follow-up automation. Captured signals include roof type, urgency, location, insurance status, inspection timing, and service request details. Features: • Roofing-specific lead intake flow • Structured AI-ready data capture • Contractor routing logic • Qualification pipeline trigger system • AI enrichment preparation • Downstream automation workflows • Lead-to-agent architecture This intake layer powers the entire Kazfen automation stack from lead submission to qualification, scoring, SMS workflows, and contractor actions. Stack: FastAPI • PostgreSQL • Claude • Twilio • Stripe
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Cover image for Kazfen Contractor Command Center —
Kazfen Contractor Command Center — AI-Prioritized Roofing Pipeline Built the operational dashboard contractors use daily to manage leads, inspections, follow-ups, and revenue opportunities. The system continuously analyzes incoming leads, prioritizes urgent opportunities, drafts actions, and surfaces what needs attention first. Features shown: • AI Morning Briefing (“do this first”) • Lead prioritization + urgency scoring • Pipeline value + expected revenue tracking • AI-generated recommendations and actions • Lead lifecycle management (new → booked → won) • Contractor review workflows • Natural-language command interface (“Ask Kazfen”) • Roofing-specific intelligence and revenue insights Kazfen acts as an AI operations layer rather than a traditional CRM. Stack: FastAPI • PostgreSQL • Claude • Twilio • Stripe • Render
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Cover image for Kazfen — AI Lead Intelligence
Kazfen — AI Lead Intelligence & Qualification Engine for Roofers Built and deployed a production AI platform for roofing contractors that captures leads, scores opportunities, qualifies jobs, estimates value, drafts follow-ups, and prioritizes next actions automatically. Features shown: • AI lead enrichment + scoring • Insurance detection + urgency analysis • Estimated job value intelligence • Contractor assignment workflows • AI recommendations + next actions • Voice pipeline + SMS automation • Production SaaS deployment Stack: FastAPI, PostgreSQL, Twilio, Claude, Stripe, Render.
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Cover image for Kazfen — AI Roofing Operating
Kazfen — AI Roofing Operating System Built and launched Kazfen, an AI-first operating system for roofing contractors. Kazfen automatically qualifies inbound leads, prioritizes opportunities, drafts follow-ups, generates morning briefings, scores pipeline value, and helps contractors run their business from anywhere. Features include: • AI voice qualification + lead intelligence • Contractor dashboard + pipeline analytics • AI SMS drafting and inbox workflows • Morning briefing + next-action engine • Voice-controlled pipeline system • Lead scoring + estimated job value prediction • TCPA safety layer, audit trail, dry-run mode, security stack Stack: FastAPI + PostgreSQL + Claude + Twilio + Stripe + Render Built end-to-end as founder and engineer.
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Twilio(4)
Javier Martinez's avatar
Javier Martinez
Spain
24/7 AI Automation | Receptionist + Sales + Workflows
13
Followers
24/7 AI Automation | Receptionist + Sales + Workflows
Cover image for ## Case Study 1: AI
## Case Study 1: AI Phone Receptionist **Tagline:** A 24/7 voice AI that handles calls, books appointments, and takes payments — without a human. --- **The Challenge:** Service businesses lose significant revenue when calls go unanswered outside business hours or during peak times. Hiring and training front-desk staff is expensive, inconsistent, and doesn't scale. Most small and mid-size operations simply miss calls — and those missed calls are missed revenue. **The Solution:** - Built a voice AI system using Twilio/Telnyx for telephony and Claude API for real-time natural language understanding, capable of handling inbound calls end-to-end - Integrated appointment booking logic directly into the call flow — callers can schedule, reschedule, or cancel without speaking to a human - Connected Stripe for in-call payment processing and n8n for backend orchestration (CRM updates, confirmation emails, Slack alerts) - Deployed via FastAPI with webhook handlers for call events, SMS follow-ups, and fallback escalation to a human agent when needed **The Results:** *(Estimated based on system design and architecture — not from a specific client engagement)* - **100% call coverage** — system designed to handle unlimited concurrent inbound calls with no wait time or missed calls - **~70% reduction in front-desk workload** — routine calls (booking, FAQs, payments) handled without human intervention - **Estimated 4–6 hrs/day recovered** per staff member previously tied to phone duties **Tech Stack:** `Twilio / Telnyx` · `Claude API (Anthropic)` · `n8n` · `FastAPI` · `Python` · `Stripe` · `PostgreSQL` · `Redis`
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Cover image for I built my own lead
I built my own lead generation machine because I moved to Denmark with zero network. I moved to Denmark. I didn't know anyone. I had no network. And I needed to find companies I could sell automation services to. I could spend hours manually searching for companies, finding emails, cleaning data, and sending messages one by one. Or I could automate the process. So I built a complete lead generation pipeline: → 🐍 Python scraper connected to Denmark's public government CVR database → 📊 Google Sheets synchronization to normalize and deduplicate companies → ✉️ Automated cold email workflow with 10 sector-specific templates using n8n → 📱 Daily Telegram reports with full pipeline statistics → 💼 Assisted LinkedIn outreach: 10 leads per day + a ready-to-send message And these are the numbers: 📈 19,334 leads in the database 📧 71% email coverage 🏭 10 sectors 🔢 34 industry codes ✉️ 25 automated emails per day ♾️ ~534 days of outreach without repeating a lead 💰 $5/month total cost — basically just the VPS. The interesting part isn't the scraper. It's not n8n. It's not Telegram. The interesting part is that a process that used to take hours of manual work can now run almost entirely on its own. And that's exactly what I want to build for companies: Find repetitive processes → design the system → automate them → measure the results. In the video, I break down the entire pipeline, piece by piece. If you're building something similar, let me know which part you'd like me to break down next. 👇 #Automation #AI #LeadGeneration #n8n #Python #ColdEmail #SalesAutomation #B2BAutomation #Denmark #BuildInPublic
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Cover image for How to replace a $2,000/mo
How to replace a $2,000/mo manual reporting task with a $3/mo AI workflow. ⚡️ Here is a look under the hood of our automated CEO Daily Briefing system: • Orchestration: n8n scheduled trigger at 08:00 AM. • Data Sources: Google Sheets (Parallel execution) + Industry RSS feeds. • AI Layer: GPT-4o mini analyzing metrics and writing executive insights (< $0.01 per run). • Delivery: Formatted Telegram notification.
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Cover image for Building custom AI architectures that
Building custom AI architectures that actually scale. 💻⚡️ Here is a peek under the hood of a production-ready AI system: • Terminal: Claude Code as the primary engine. • Harness: Gentleman AI for memory persistence (Engram) and spec-driven development (SDD). • Automation Server: Self-hosted n8n running on a dedicated Hostinger VPS.
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Twilio(1)
Dimitri Appel's avatar
Dimitri Appel
Barcelona, Spain
AI Workflow Architect & Automation Expert
9
Followers
AI Workflow Architect & Automation Expert
Cover image for AI Appointment Scheduler (n8n + Twilio + Cal.com + Airtable)
AI Appointment Scheduler (n8n + Twilio + Cal.com + Airtable)
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Cover image for AI Invoice Automation via Telegram, OCR & SAP Integration
AI Invoice Automation via Telegram, OCR & SAP Integration
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Cover image for Customer Onboarding Automation with n8n
Customer Onboarding Automation with n8n
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