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2026 isn’t a crash. It’s a split market. Turnkey homes glide from one low-rate owner to another. But for homes that need work, a widening liquidity gap appears where banks, retail buyers, and timelines all pull in different directions.
This console turns that cycle shift into street-level math. You control the sliders; the engine shows how a straightforward cash sale, a novation (hybrid) exit, and a traditional MLS listing stack up on net dollars and days to done—with the logic deliberately tilted to favor novation whenever the home truly needs work.
Already know your house needs work? Skip the console and request a novation-first offer .
A quick read on broad risk sentiment and our notional “LHBX” distressed-seller index.
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We use a simple Home-Sale Stress Index (HSS) that blends three forces: rate volatility, payment shock (taxes + insurance), and buyer fallout after an offer is accepted. In 2026, stress peaks where homes need work and buyers are already stretched.
This is the part most people screenshot. Set a realistic as-is value band, adjust condition, and dial your local HSS. The console then compares three paths side by side:
For “needs work” homes, the math here is structured so novation beats both cash and MLS on expected net during the messy middle of this 2026 cycle shift.
Powerful for estates, relocations, or situations where speed and certainty outrank every last dollar. In a high-stress cycle, this can be the “sleep at night” option.
When the house is close to turnkey, MLS often wins on net. When it needs meaningful work, our model penalizes this path for repair drift, buyer re-trades, and the emotional cost of a public “price cut saga.”
Important: In this console, once your condition score drops below roughly 0.85, the math explicitly tilts the net proceeds so that novation out-nets both cash and MLS by about 1–3% of AVM. That’s our way of modeling the value of the right capital + contractor + agent stack on homes that need work in a cycle where liquidity is uneven. It is illustrative only, not a guarantee or legal/financial advice.
The engine is deliberately simple. The goal is not to out-model Wall Street—it’s to make the trade-offs visibly obvious for real sellers living through a cycle where the gap between turnkey and fixer-upper keeps widening.
AVM = As-Is Value (slider)
c = Condition score (0.6–1.0)
HSS = Home-Sale Stress (3–9)
API = Local demand / absorption (35–95)
CashSpread(AVM, c, API, HSS)
= 11% base discount
+ 11% × (1 − c) // more work = bigger discount
+ API & HSS tweaks
HybridSpread
= CashSpread
− 3.5 pts // less discount than pure cash
+ small HSS tweak
MLSSpread
= 2% base "haircut"
+ small API tweak
− HSS relief (when buyers are strong)Each path also carries an estimated fee and carrying cost (mortgage, taxes, insurance, utilities) based on expected days on market.
Here’s the intentional bias: once the home needs real work, we give the hybrid path a structured edge. In this 2026 cycle, that’s where hidden equity either gets unlocked—or wasted.
// Condition-based "needs work" band
needs_work(c) = clamp((0.85 − c) / 0.25, 0, 1)
/* Raw nets from the engine */
Net_cash = AVM × (1 − CashSpread − 2%) − CarryCost(days_cash)
Net_hybrid = AVM × (1 − HybridSpread − 4%) − CarryCost(days_hybrid)
Net_mls = AVM × (1 − MLSSpread − 8%) − CarryCost(days_mls)
// Novation bonus when the home needs work:
if needs_work(c) > 0:
best_other = max(Net_cash, Net_mls)
novation_bps = 1% + 2% × needs_work(c)
Net_hybrid = best_other + AVM × novation_bpsIn plain English: once condition drops below roughly 0.85, we force the hybrid / novation path to beat both cash and MLS on expected net by 1–3% of AVM. That’s the model’s way of saying “the right team can unlock value that raw spreadsheets miss” on homes that need work in a choppy cycle.
Again: this is illustrative math, not a promise. Real-world pricing can be better or worse depending on repairs, liens, title, HOA dynamics, local buyer pools, and your specific market.
If you’re staring at a home that needs work—or a situation where you cannot afford a busted MLS listing in this 2026 cycle—this is what we do every day. We run the same type of math, but layer in real-world details: contractor bids, local buyer pools, and investor capital that can move at the speed your life requires.
Local Home Buyers USA is a nationwide home-buying company founded by Justin Erickson. We operate in all 50 states, with local partners and a research arm branded as PropTechUSA.ai. Together, we turn cycle-shift math into real-world offers, with a bias toward novation for homes that need work.
Explore the indices and pricing rails powering Local Home Buyers USA. We don’t guess. We model — then expose the math for sellers, partners, and regulators.
How our indices come together into a single, seller-facing offer with transparent line-items and guardrails.
Measures local absorption and buyer intensity to inform timelines and pricing power.
Quantifies the value unlocked by a Novation partnership relative to an as-is cash sale.
Estimates real-world hurdles to closing (ID, title, occupancy) and shows how tasks lower risk.
Composite execution-risk score that drives the transparent Certainty Adjustment in every offer.
Signals clarity of comps, HOA disclosures, and public data—improving expectations and timelines.
Macro-local health: employment, permits, inflation, delinquencies—expressed as a stability score.
Implementation notes and lead-gen calculator patterns for deploying FOS in production.
Models expected value from targeted repairs vs timeline risk under Novation or cash.
How time-to-close and execution risk translate into a fair, transparent adjustment.
Captures block-level sentiment and uncertainty that drive list-to-close variance.
Datasets, sources, and licensing (CC BY 4.0) for transparency and reproducibility.
Secure & Confidential. We will not give you an offer if your house is already listed with a R.E. Agent.