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AI-powered real estate lead analyzer that evaluates, organizes, and scores property leads to help businesses identify high-potential clients and improve conversion rates.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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"Non-technical people are now shipping production code."
That's a line the CEO of Coinbase buried in his company-wide tweet yesterday, in the middle of announcing layoffs for a "AI-native" restructuring.
And as much as I don't want to add to the AI fear spiral... this one is worth paying attention to.
Companies are moving toward smaller, hyper-focused pods. One person who's deep in their role, plus AI woven into every part of how they work. Not someone who chats with GPT occasionally. Someone who actually problem-solves through it.
Which means the bar for what "valuable" looks like is shifting. Knowing tools like Claude Code might not be optional much longer, it might just be the baseline.
At the same time, my co-founder and I talked about this and we don't think it ends in fewer jobs. we think it ends in a billion small companies.
Hiring shifts from buying a person to buying their IP, their agents, their workflows.
The generalist who can get 80% of the way there across everything starts to beat the specialist who owns 100% of one thing. Specialists still win at the frontier, deep engineering, AI labs, but everywhere else, range is becoming the advantage.
So the people who come out of this okay aren't the ones who panic.
They're the ones who get curious and may start building something of their own.
That's probably always been true. It's just more urgent now.
What do you think about this?
MechanicFlow AI — Lead Qualification Agent
AI-powered lead intake and qualification agent for agencies and eCommerce brands. It extracts company, contact, campaign goal, platform, recommended mechanic, pricing tier, owner, and next action, then prepares a CRM-ready handoff package.
Built with Python, FastAPI, SQLAlchemy, HTML/CSS/JavaScript UI, and Telegram notification integration.
Agentic AI Workflow for Real Estate Lead Enrichment (USA)
I built a production-grade, engineering-first workflow that turns minimal “clues” (company name, property address, or Tax ID) into a structured owner/contact dossier.
Stack: self-hosted n8n, OpenAI (GPT-5), Airtable (UI + database), Google Search, RealTrack (closed system)
Input → Output: 1–3 clues in → a complete enriched profile in ~60–120 seconds (with citations/links to sources) ready for sales outreach and due diligence.
The Problem (How the team worked before)
The client’s manual process looked like “crossfire research”:
- Find a company name + street / Tax ID
- Open multiple platforms/tabs
- Cross-check signals, collect evidence
- Compile a dossier in spreadsheets/CRM
This was slow (20–45 minutes per request), error-prone, and hard to scale.
I delivered an end-to-end agentic workflow that automates the same multi-platform research the team did manually — but faster and with consistent formatting.
1. ~90% reduction in pre-call research time per lead
2. ~60–120 seconds per lookup vs 20–45 minutes manually
3. ~$0.02 per enrichment request (token cost; excluding optional external services)
4. Self-hosted n8n: dramatically lower operational costs vs cloud pricing at scale
Amazing job Oleh!
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