The method
How Kindred matches people.
Three stages: filter out the impossible, rank what remains by evidence, then learn from what actually happens. No compatibility scores invented from questionnaires.
The dealbreaker filter
Some things people report about themselves are reliable, and they are the ones that make or break a relationship structurally. Kindred asks about twelve: whether you want children, do not, or already have them; the relationship structure you are looking for; your faith; whether a partner must share it; whether you are looking toward marriage; whether you drink; the age range you are open to; your food practice; how involved you expect family to be; whether you expect to live with or near family; pets; and the language of family life. Location is handled separately, by matching within your city rather than asking you to set a radius.
Kindred asks about these once, in a short questionnaire. Anyone whose answers rule out a pairing, on a point that is firm for either of you, never appears in your pool, and you never appear in theirs. No time spent, no hopes raised.
Behavioural signals and reciprocity
Within your filtered pool, ranking is designed to be built from behaviour rather than self-description. As the pool grows, it adds signals from the accounts you connect, what your activity on Kindred reveals about who genuinely draws your interest, and reciprocity modelling, which estimates the probability that interest runs in both directions. An introduction only makes sense when it does.
To be plain about what this involves: this is profiling, and you deserve to know that. It will be disclosed in full before it runs. What we will not do is sell this data, share it with advertisers, or use it for anything other than matching and the published research you have consented to.
Learning from real outcomes
This is the stage the industry skips. After each introduction, Kindred is built to follow up on what actually happened: did you exchange contact details, was there a first date, a second, are you still in contact at 30 and 90 days, and, eventually, at six and twelve months. Those answers, given with consent, are what the ranking is designed to learn from, so the system improves on real relationship progression rather than on clicks.
Because Kindred has no engagement metrics to inflate and no advertisers to serve, there is no reason to answer these follow-ups strategically and no incentive for us to misuse them. Honest answers make the next person's match better. That is the entire loop.
What we will not claim. The most direct published test of this fed more than a hundred pre-meeting self-reports into a model and could not predict which two particular people would want each other. Kindred does not pretend otherwise. Version one stands on the dealbreaker filter, applied in both directions, a small weight from a short attachment questionnaire, and honest positioning, and the outcome loop generates the evidence for whether behavioural matching does better. Whatever we find, including nothing, gets published.
Verification and safety
Everyone you can be matched with has verified their identity, and verification is reviewed by a person rather than an algorithm. In-app reporting, a documented incident-response protocol, and active moderation have been in place from the first day, and safety tooling grows ahead of the member base.
No engagement machinery
The product principles are absolute: no infinite swiping, no paywalled visibility, no artificial scarcity, and no notifications engineered to pull you back. Introductions are curated and finite, because the goal is for you to leave.