We wrapped up February strong with solid engagement across the board - great questions, shared wins, and operator-to-operator support. Here is how the leaderboard shook out. 🥇 Matt Fonk - +141 🔥 Absolutely dominated the board this month 🥈 Charlie Wang - +106 ⚡️ Consistent powerhouse, month after month 🥉 Connor Cogdill - +55 📈 Great climb, showing up and adding value 4️⃣ Caleb Hogan - +44 5️⃣ Melissa Serrano - +43 6️⃣ Rene Doyle - +41 7️⃣ Kari Pesch - +40 8️⃣ Kyle Grimm - +37 9️⃣ Shawn Abe - +31 🔟 Nick Turnbull - +25 🏆 February Prizes 🥇 @Matt Fonk - FREE 1-on-1 Coaching Call with Michael OR additional Group Session 🥈 @Charlie Wang - FREE Invite to a Group Mentorship Session 🥉 @Connor Cogdill - FREE Access to Recorded Group Mentorship Sessions for 1 Month 📬 Winners - DM Michael to claim your prize and schedule your session. Want to hit the leaderboard in March? • Post your questions • Share your wins and lessons • Help others move forward • Be active and consistent Cheat code reminder: Follow The MHP Pros and Ryan Narus on social and podcast platforms. Then DM Michael with "Followed +[#]" to get your one-time leaderboard bonus boost. Let us kick off March with momentum.

📚 Explain this Chart to a Five Year Old: Imagine you have a lemonade stand. Every week, people buy lemonade from you. That money comes in no matter what. Rain or shine. That's the gray bars. Sometimes your lemonade stand becomes worth MORE because everyone wants one. That's the orange bars going up. Sometimes it becomes worth LESS because nobody thinks lemonade stands are cool anymore. That's the orange bars going down. But here's the thing - even when nobody thinks your stand is cool, people still buy lemonade. The gray bars never stop. So the smart move? Don't worry about what people think your lemonade stand is worth. Just keep selling lemonade. 📊 More in-depth Explanation: This is J.P. Morgan's breakdown of global private real estate returns split into two components: income (gray bars) and capital appreciation (orange bars). Data is rolling 4-quarter returns from the MSCI Global Property Fund Index, through Dec 31, 2025. The two components: • Income (gray) - rent/cash flow yield. Incredibly stable - roughly 4-5% every single year regardless of market conditions. Never goes negative. This is why real estate is attractive as an asset class. • Capital appreciation (orange) - change in property values. This is where all the volatility lives. The story in three phases: 2009-2011: GFC recovery. Capital appreciation swung from -25% to +15% in two years. Wild ride. Income stayed steady at ~5% the whole time. 2012-2019: The boring years. Capital appreciation settled around 3-5%, stacking on top of income for consistent 8-10% total returns. This was the golden era. 2020-2025: The cycle you're living through. • 2021: COVID recovery boom - capital appreciation spiked to ~18-19%. Property values surged. • 2022-2023: Rate hikes crushed values. Capital appreciation went to roughly -12 to -15%. But income STILL held at 4%. • 2024-2025: Bottoming out and recovering. Capital appreciation coming back toward 0%, income still steady. The takeaway for you: Income is the anchor. It never breaks. The people who got destroyed in '22-'23 were the ones who overpaid during the '21 spike and were overleveraged when values corrected. If you're buying for cash flow (which MHP operators should be), the gray bars are what matter - and they never flinch.

My development team and I are going to be doing installs of OpenClaw for anyone interested. We are setting up automated processes to build and deploy these agents with pre-built skills for Real Estate investment and other more basic "Executive Assistant" and "Virtual Assistant" skills. Our setups will be on virtual servers, which means risk is reduced significantly from setups on your local device. Our goal: make Agentic AI accessible and easy to setup and use. Cost: Still percolating on this, but for the first group of 5-10 folks pricing will be reduced. If you are interested, please comment below and I'll follow up with instructions when we are ready to deploy! (About a week or so)

4 days ago I started experimenting with something and it's gotten to the point where I need to share it. I have an AI assistant named R2 (yes, like R2-D2) that I've connected to basically every system I use: • Google Calendar (manages 7 calendars, auto-creates Zoom links for every meeting) • Gmail - i gave him his own email address (reads, drafts, sends emails with proper context) • ClickUp (creates tasks, assigns them, tracks dependencies) • Google Drive (accesses, edits when i say so, and organizes documents) • Fathom (pulls meeting transcripts and summaries automatically after every call) • Google Maps / Places API (running large-scale MHP data projects) • Rent Manager (integration in progress) Here's what's wild - we set this up in 4 days. Not months. Not with a dev team (except for the server it sits on). Four days of me giving it access and telling it what I need. Some things it does daily without me asking: • Checks my inbox every 5 minutes, labels and categorizes everything • Monitors for new Fathom meeting recordings and processes them into a knowledge base • Manages calendar events across all my business entities • Runs background research and data projects overnight The thing that changed my perspective: I went to bed one night and woke up to completed work. Not half-done. Not "here's a plan." Actual finished output. This isn't ChatGPT. It's not a chatbot you ask questions to. It's an autonomous agent with persistent memory that knows my businesses, my team, my preferences, and my systems. It remembers every conversation we've had and builds on them. I'm not a developer. I can't code. But the barrier to building something like this is basically gone now. The tools exist - you just need to know how to connect them. If you're an operator managing parks, dealing with contractors, handling tenant communications, tracking deals - imagine having a second brain that never sleeps, never forgets, and gets better every day. Happy to answer questions if anyone's curious about the setup or what's possible.

Hey Everyone - I joined this community back in November and have been getting through the course. I run an Ai consulting business outside of investing in real estate (raw land, land and home packages and now MHPs) so I started leverage Claude Code to help find deals in my target markets. Is anyone else experimenting with it? With a couple apis from Google Maps you can really narrow down your list.