Compatibility for a home purchase is not the same thing as compatibility for a friendship, and it is definitely not the same as compatibility for a romantic relationship. People build successful long-term friendships across wildly different financial behaviors, risk tolerances, and time horizons. None of that matters in a friendship because you do not share a mortgage, a repair bill, or a legal co-ownership obligation.
When two people co-buy a property, they are entering a financial and legal partnership that may span five to ten years. The compatibility that matters is the kind that predicts how they will behave when a pipe bursts at midnight, when one of them gets laid off, when one of them wants to refinance and the other does not, and when one of them decides the neighborhood no longer fits their life and wants to sell.
The matching problem Rhome is built to solve is: given a pool of buyers who want to co-purchase a home, identify which pairings or small groups are most likely to navigate that ownership window without a serious structural conflict. Here is how we approach it.
The six dimensions in the compatibility model
Rhome's compatibility scoring evaluates six dimensions drawn from a buyer's profile and quiz responses. No single dimension dominates, but two carry significantly more weight than the others because the evidence from our early co-owner cohorts (and from broader patterns in co-ownership dispute data) points to them as the primary predictors of conflict.
The first high-weight dimension is exit horizon: how long does each buyer plan to hold the property before selling or refinancing out? Two buyers who both plan to hold for seven to ten years are aligned on this dimension. Two buyers where one plans to hold two or three years and the other expects to hold indefinitely are not aligned, and no financial structure can fully compensate for that divergence. The mismatched timeline is the single most common source of co-ownership disputes we have seen.
The second high-weight dimension is payment contribution structure: how much of the down payment is each buyer contributing, and how should monthly payment responsibility track that contribution? This matters less when contributions are perfectly equal, but in most co-buys they are not. One buyer often has more cash saved; the other may have higher income. The equity split that flows from unequal contributions needs to be agreed and documented, and the compatibility score reflects how aligned two buyers are in their expectations about what those contributions mean for ownership percentage and ongoing cost-sharing.
The remaining four dimensions are financial risk tolerance (are both buyers comfortable with a variable-rate scenario, or does one need the certainty of a fixed rate?), property decision style (does one buyer want to renovate aggressively while the other prefers to hold the property as-is?), geographic flexibility (what is each buyer's likelihood of needing to relocate?), and daily living compatibility for groups who will occupy the property together.
What the match score tells you
A high match score does not mean two buyers will never disagree. It means they have closely aligned exit horizons, compatible contribution structures, similar risk profiles, and comparable property preferences. These are the inputs that determine whether disagreements stay at the level of a conversation or escalate to a legal conflict that requires attorneys.
The score is a filter, not a guarantee. Two buyers with a 91/100 score may still run into unforeseen circumstances: a job loss, a family situation, a career move that changes geographic requirements. The score reflects what the platform can observe from the profiles. It cannot model future life events, and we are clear with every group that it does not try to.
What the score is particularly useful for is ruling out mismatches early. Two buyers with a 52/100 score have fundamental misalignments in one or more of the high-weight dimensions. We can identify exactly what the gap is, and in most cases, that gap is not something the group will negotiate through once they are three years into a shared mortgage and the original accommodating energy has dissipated.
What we deliberately do not match on
Rhome does not match on personal demographics, lifestyle preferences unrelated to ownership behavior, or social compatibility. Whether two co-buyers would get along at a dinner party is not relevant to whether they will co-own a home successfully for eight years. We deliberately exclude variables that do not predict ownership outcomes, because including them creates noise and risks introducing bias into what should be a structurally-driven decision.
We also do not substitute for the co-buyers meeting each other and making their own decision about whether to proceed. The match score is a starting point for a conversation, not a replacement for it. Every group that forms through Rhome connects directly before committing to anything. The score is context for that conversation.
How matching connects to structuring
One aspect of Rhome's approach that distinguishes it from a standalone compatibility quiz is that the matching process feeds directly into the structuring process. The equity split calculation uses the same contribution data that informed the match score. The exit term builder draws on the exit horizon alignment data to set default parameters that reflect what the group actually indicated during matching.
This matters because the two processes are not separable in practice. The question of how a group will structure their ownership is inseparable from the question of whether they are the right group to own together. We built the platform so that matching and structuring happen in sequence, each informing the other, rather than as two disconnected tools that a group uses at different times without connection between them.
A scenario: aligned on financials, misaligned on timeline
Consider two buyers who connect through the Rhome platform in early 2026. Buyer A is 29, in a stable role at a Miami-based company, and plans to hold a property for at least eight years. Buyer B is 31, working in a consulting role that involves frequent travel, and expects to reassess their housing situation within four years, possibly relocating.
Their financial profiles are compatible. Income levels are comparable. Down payment contributions are nearly equal. But their exit horizons diverge significantly: eight-plus years versus under four. The match score reflects this, weighted heavily on the timeline dimension, and comes out at 67/100.
That score does not mean they cannot buy together. It means the co-ownership agreement needs to handle the mismatched timeline explicitly. A right of first refusal clause gives Buyer A the option to purchase Buyer B's share at fair market value if Buyer B needs to exit before the four-year mark. A clear valuation methodology means there is no dispute about price when that moment arrives. With that structure in place, the timeline mismatch is manageable. Without it, it is a delayed conflict.
What the matching model does not replace
Rhome is a structuring tool. Matching improves the quality of groups and reduces the probability of structural conflict, but it does not replace the legal review a co-ownership agreement requires. It does not replace the conversations co-buyers need to have with each other. It does not replace the mortgage pre-approval process, which involves underwriting variables the matching model does not touch.
The score is most useful as a starting point and a conversation framework. Two buyers who score well but have a bad conversation when they meet are not a good group. Two buyers who score modestly but align closely on the high-weight dimensions during their actual discussion may be a better match than the number suggests. We weight toward quantifiable dimensions because they predict outcomes, and we build the exit terms to address the dimensions where alignment is imperfect. That is the honest version of what matching can and cannot do.
