Field notes for real-estate investors.
Deep dives on data, markets, and the craft of finding deals most people miss. Published daily.
A Top Self-Storage CEO Just Called This the Greatest Opportunity Since 2008. The Data Backs It Up.
Self-storage transaction volume jumped nearly 40% to $5 billion in 2025, the SmartStop CEO is calling this the greatest buying opportunity since 2008, and the supply pipeline just hit its lowest level since 2017. This piece breaks down the three-tier cap-rate map (Class A at 5.5–6.5%, Class C at 8–10%, value-add at 7–12%), shows what the REIT earnings data says about the inflection already underway, and gives you five copy-paste PropGPT prompts to underwrite your first — or next — storage deal.
Stop Waiting for Rate Cuts: Here's What 4 Years on the Sidelines Actually Cost You
Four years after rates started climbing, investors who kept buying are sitting on six figures in rent, equity gains, and depreciation advantages while waiters now pay $429,300 median for homes — the 35th consecutive month of year-over-year price increases (NAR May 2026). This piece runs the actual buy-vs-wait math with an Indianapolis SFR case study, shows what buyers at 7% in 2022 actually earned, and gives you 5 copy-paste PropGPT prompts to underwrite your next deal in minutes.
NYC Office-to-Residential Conversions Are Doubling in 2026. The Tax Deal That Makes It Work Expires June 30.
NYC office-to-residential conversions are set to reach 9.5 million SF in 2026 — more than double last year’s volume. The 467-m tax incentive that makes conversion economics work expires its maximum 35-year benefit on June 30, 2026. This piece breaks down the before-and-after math (106% increase in residual land value with the abatement), NYC’s conversion pipeline, the four mistakes investors make, and five PropGPT prompts for finding and underwriting conversion-adjacent plays before the deadline resets.
Strip Centers Are Generating 7-9% Cap Rates at Historic-Low Vacancy. Here's Why Investors Are Finally Paying Attention.
JLL's latest data shows institutional bid volume on retail real estate is up 102% in two years — but most residential investors still ignore the asset class. National strip center vacancy hit 5.9% (vs. a 7.4% historical average), value-add deals trade at 7-9% cap rates with virtually no new supply coming, and the positive leverage math works at today's commercial loan rates. This piece breaks down the thesis, the real numbers, the common mistakes, and five PropGPT prompts to find and underwrite your first strip center deal before institutional repricing closes the window.
Sellers Pulled 5.8% of All Listings in April. That's the Best Investing Signal of the Year.
Redfin's April 2026 data shows 5.8% of U.S. home listings were pulled from the market — tied for the highest delisting rate since the pandemic. Learn which metros are seeing the most seller retreats, why this creates a rare negotiating window for investors, and exactly how to use PropGPT to find and underwrite relisted properties before the opportunity closes.
44 Federal Buildings Are on the Block. The Last One Sold in 60 Days for $25/Sqft. Here's the Investor Playbook.
The U.S. government is actively liquidating 44 federal properties through GSA's accelerated disposition program — including a DC office building that sold for $25/sqft and closed in 60 days. This piece breaks down what's still on the block, how the conversion math works, and exactly how investors access these deals before the bid window closes.
DSCR Rates Are Down to 6.12% — But Lenders Just Changed the Rules That Decide If Your Deal Qualifies
The headline DSCR rate of 6.12% is real — but it's reserved for the top tier: 760+ FICO, 65% LTV, and 1.25+ coverage. Meanwhile lenders quietly tightened overlays across the board in 2026: credit score floors moved up, STR income is now treated conservatively, and DSCR minimums increased. This guide breaks down every rule that changed and gives you five PropGPT prompts to stress-test any rental deal under the new standards before you make an offer.
Your Next Tenant Application May Be Entirely Fake. Here's How Landlords Are Fighting Back.
AI tools now generate undetectable fake pay stubs, voice-clone employer verification calls, and build synthetic credit files — costing landlords an average of $15,000 per incident. This breakdown covers the specific fraud methods hitting landlords in 2026, five PropGPT prompt workflows to screen smarter, and the concrete steps to close the gap before it costs you a placement.
New Construction Is Now Cheaper Than Resale — and Builders Are Offering 4.99% Rates. Here's the Investor Playbook.
For the first time in years, the median new single-family home ($410,800) is priced below the median existing home ($429,400) — and builders sitting on 9.7 months of inventory are sweetening deals with permanent rate buydowns to 4.99%. This breakdown covers why the inversion happened, the cash-flow math that makes new construction compelling for investors in Phoenix, Tampa, Austin, and Raleigh, and five PropGPT prompts to find and underwrite the best new construction deals before the window closes.
ATTOM's Q1 2026 Housing Risk Rankings Are Out. Florida and California Dominate — and Some 2021 Darlings Made the List.
ATTOM's Q1 2026 Special Housing Risk Report just dropped, and Florida and California counties dominate the most financially exposed markets in America. This breakdown covers the four-factor composite risk model (foreclosure rate, underwater mortgages, affordability ratio, unemployment), names the specific counties investors need to know about, flags the four mistakes investors make when reading this data, and provides five PropGPT workflows to pressure-test any deal in a high-risk county before you commit.
Zillow's 2026 Breakeven Map: In These 5 Cities, Buying Beats Renting in Under 5 Years — and 3 Cities Where It Never Does
A new Zillow study pinpoints exactly how long buyers need to hold a home before ownership beats renting, city by city. In Columbus, Ohio, it's 4.1 years. In San Francisco, it never happens. This data-driven breakdown shows where the buy signal is strong, where it's non-existent, and how to use PropGPT to find the specific zip codes that deliver on the numbers.

