Hey builders — I’m part of a project called Wealthanaire Capital, where we’re developing a GTA 6–themed real estate SaaS and AI deal-closing system. Our goal is simple but bold: -9 properties under agreement per day through a fully automated AI acquisition pipeline — from sourcing → underwriting → offer → closing → resale. We’ve already built a working frontend prototype in React (GTA-inspired UI) and started wiring up the backend through n8n automations. Now, we’re bringing in the community to finish building this as a team of AI engineers, workflow designers, and automation experts. 🧱 What We’ve Built So Far ✅ GTA-styled React front-end (“The Command Center”) ✅ Black Market page – dynamic property listings with filters + stats ✅ Working mock deals database ✅ Started N8N JSON workflows for Firecrawl + Browser Agent integration ✅ Defined full architecture for Supabase + N8N + React system ✅ Clear pipeline from acquisition to exit ⚙️ Current Focus We’re currently building the Market Researcher workflow in n8n — the goal is for it to: - Clean property data from Propwire CSVs - Run market comps + rental analysis - Output ARV, rent, and ideal strategy into Google Sheets or Supabase Once that’s stable, we’ll move on to the Underwriter and Offer Generator agents. 🤝 Who We’re Looking For We’re inviting: - 🔧 Automation builders (n8n, Make, Zapier, LangChain) - 💻 Full-stack devs (React + Supabase + Node) - 🧮 Real estate analysts who understand deal modeling - 🎨 UI/UX designers for the GTA 6–style interface - 🧠 AI prompt engineers for Claude / GPT orchestration If you’re passionate about AI + automation + real estate, this is an opportunity to build a system that can close deals while you sleep. 💰 Vision A fully automated AI fund that acquires, manages, and disposes of properties without human friction. Each agent represents one part of the process — when the pipeline runs, the system itself acts like a full-scale acquisitions team.

Hey builders 👋 I’m assembling a team of automation experts, real estate disruptors, and low-code wizards to co-develop something big: a real-time, AI-powered real estate acquisition platform — built on N8N, styled like GTA6, and designed to help users secure deals while they sleep. 🎯 The Vision Imagine uploading a list of 1,000 off-market properties…Then, watching your AI agents go to work: ✅ Clean the list✅ Pull rental comps (Airbnb, LTR, MTR)✅ Run creative finance calculations✅ Auto-generate offers + PDFs✅ Track negotiations via email✅ Push to a “Black Market” dispo dashboard✅ … All with zero manual follow-up We're building this in N8N as the automation brain — and layering a beautiful SaaS UI on top with React + Tailwind. 🧠 What We’ve Built So Far We already have: - 📄 CSV Upload & Processing Agent (PropWire imports) - 💸 Comp pulling & offer logic (mocked, APIs coming next) - 🕵️‍♂️ A visual GTA6-style Command Center - 🧠 Agent modules: Pipeline Scout, Underwriter, Offer Generator, Contract Specialist, Email Closer - 🧃 “Black Market” Dispo Dashboard (for properties under contract) 🧱 What We’re Building Next We’re wiring together the N8N workflows to power the backend: - Upload → Clean → Analyze → Generate → Assign - Use AI (Claude, GPT, Retell AI, ElevenLabs) for follow-up - Connect Gmail + Supabase + PostgreSQL to create multi-user SaaS backend - Deploy through Docker (already running local version) And we need: - 🧪 N8N Builders to help structure workflows - 🧰 Devs to help build out API integrations (AirDNA, Rentometer, etc.) - 🔐 UI/UX builders to polish mission flows - 🎯 Testers & real estate users to simulate deal flow 🧠 Want In? If you're into: - Real estate + automation - Low-code infrastructure (N8N, Supabase, Docker) - Building tools that close deals while you sleep - Creating $100M software that feels like a video game Then let’s talk. Drop a comment below or DM me. 🧠 You’ll get early access, credits, backend access, and co-builder status.

I'm developing PitchAI - an institutional-quality platform that automates the entire sales presentation process using proven AI technology. **The Vision:** A systematic approach to sales automation where AI handles presentation creation, voice synthesis, and intelligent delivery - allowing sales teams to focus on relationship building while technology handles the repetitive work. **The Problem We're Solving:** • Sales teams spend 40+ hours creating presentations • 73% of presentations fail to convert prospects • Scaling personalized demos is nearly impossible • Inconsistent messaging across sales teams **Our Systematic Approach:** ✓ Disciplined content generation using Claude/GPT ✓ Professional voice synthesis with ElevenLabs ✓ Institutional-quality presentation templates ✓ Proven SaaS business model with realistic projections **Development Timeline:** • Q1 2025: Beta program with select customers • Q2 2025: Full platform launch • Conservative growth: 150-200% annually **Looking for Technical Collaborators:** • AI/ML Engineers with LLM experience • Full-stack developers (React/Node.js) • UX/UI designers with B2B SaaS experience • Sales automation specialists • Technical advisors and mentors **Why Join Us:** We're building with a systematic, institutional-quality approach - not chasing hype but creating sustainable value. Early collaborators get equity participation and direct input on product direction. Interested in systematic AI innovation? DM me. #AI #SalesAutomation #B2B #SaaS #TechTeam #PitchAI

Hey AI family 👋 I’m building something big and would love to connect with aligned minds. The Vision:An AI Sales Agent that asks users about their product/service, then auto-generates a pitch deck, and presents it via voice/video, like a Zoom sales rep would—but fully automated. Think: Calendly meets Claude meets Gamma meets ElevenLabs. Why?Founders, closers, and consultants spend hours giving repetitive demos. We believe AI can do 80–90% of this—automatically pitching and converting investors or leads at scale. The Goal:Build the #1 AI Pitch Deck Presenter that helps: - Founders raise capital - Agencies close clients - Startups automate sales calls - Teams standardize storytelling How it Works (MVP Outline): 1. User fills a form 2. Claude or Manus builds the pitch deck 3. AI avatar presents deck via HeyGen/Deepbrain 4. CTA leads to booking or checkout 5. Objection handling layered in (phase 2) Looking for Collaborators In: - LLM Prompt Engineers - AI Voice + Video Pipeline Experts - No-code/Nocode Front-End Builders - UX/Deck Designers - Capital Raising + SaaS Strategists If you're excited about pitching at scale, using LLMs in a real-world, revenue-generating product, and want to help shape the future of fundraising + B2B selling, DM me. Let’s build the future together. 🌎⚡️ #AI #Sales #Startups #LLM #Fundraising #PitchDecks #Claude #GPT #NoCode #B2B

For a deeper discussion on workflow architecture, let's chat here. AI agents are powerful, but here’s the problem—most people are using them when they don’t need to. If your process is deterministic, predictable, and follows a set of structured steps, then an AI workflow is almost always the better option. In this video, I break down the key differences between AI workflows and AI agents, why forcing an agent into a simple process is a mistake, and how switching to a workflow can make your automations cheaper, more consistent, and more scalable. I’ll also show real examples in n8n where I initially built an AI agent, only to realize that a workflow could do the job better.