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Closed my first automation client using this simple idea
Real estate agents lose leads because they reply too slow — 71% of buyers go with whoever responds first. Built a small AI system that fixes this: instant lead response, auto-qualifies them, books a call on the agent's calendar automatically. Even handles missed calls with an instant text-back. Just closed my first client with it. Happy to share more if anyone's building something similar, or if you know an agent who'd want this — would love an intro 🙏
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Closed my first automation client using this simple idea
Day 1 build: Firecrawl scraping + newsletter automation for my real estate clients
Day 1 done. Ended up combining two skills in one build: Firecrawl scraping + the newsletter automation. Pointed it at my own business instead of a demo topic (real estate in Dubai). Firecrawl pulls recent transaction data, Python turns it into the actual stats (median price/sqft, yields, MoM change), Claude writes the copy in my brand voice, infographic cards get rendered with my branding, and it all drops into Gmail as a draft so I can sanity-check it before it hits my clients' inboxes. AI never makes up a number. Everything on the cards comes straight from a scraped transaction, right down to price per sqft, yields, bedroom mix and the most-traded buildings that month. Screenshots below 👇 If anyone else is using this in the real estate industry, curious to see how you're helping your clients with it.
Day 1 build: Firecrawl scraping + newsletter automation for my real estate clients
🚀 Built today: AI-Powered Real Estate Lead Management & CRM System
Today I finished building an AI-powered real estate lead management system using n8n + OpenAI + Airtable. The goal was to automate the journey from a website inquiry to a qualified lead with minimal manual work. Current features: ✅ Website lead capture ✅ AI-powered lead analysis & summaries ✅ Buyer/Seller classification ✅ Lead scoring & quality (Hot / Warm / Cold) ✅ Automated email follow-ups ✅ AI-generated SMS follow-ups ✅ Consultation booking ✅ Airtable CRM for lead, appointment & follow-up management ✅ Google Sheets integration ✅ Error handling throughout the workflow I've attached a few screenshots of the CRM to show how the data is organized after the automation runs. Still improving the system, but it's been a great project for learning how to combine AI with real business workflows. 💬 If you were building this, what feature would you add next? I'd genuinely appreciate any feedback or suggestions. #BuildInPublic #n8n #OpenAI #Automation #AIAgents #Airtable #CRM #WorkflowAutomation #RealEstate #ArtificialIntelligence
🚀 Built today: AI-Powered Real Estate Lead Management & CRM System
This is too easy? (Day 2)
Alright maybe saying its too easy is an understatement. What I mean by that is that whenever I run into a hurdle I find it crazy how claude would try to autocorrect itself and if I don't understand anything, I can always ask it what it means and needs and it would tell me. Which makes it pretty simple. Finding this pretty fun and looking forward to the next day. (Scraped a website for job postings in the UK specifically for graduates)
This is too easy? (Day 2)
Day 5 - 7 Days AIS Challenge
fifth rep of 7 - I built a single-page marketing site
Day 5 - 7 Days AIS Challenge
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