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Glossary

Desirability score (dating app ELO)

A desirability score is a hidden app ranking built from swipe popularity, not compatibility — Lamp doesn't use one.

A desirability score is a hidden numerical ranking that some dating apps have been reported to calculate for each user, based on how many right-swipes they receive and how desirable those swipers are themselves. The idea is borrowed directly from competitive chess: the Elo rating system, which ranks players by wins and losses weighted by the opponent's strength. Applied to dating, it means a right-swipe from a highly-swiped person boosts your score more than one from a lower-scoring user.

Tinder is the app most publicly associated with this approach. In a widely-reported interview with Fast Company, Tinder CEO Sean Rad confirmed the app assigned each user an internal score it called a "desirability" score — deliberately not "attractiveness" score, though the inputs were heavily swipe-based. In a 2019 blog post, Tinder stated it had moved away from Elo specifically, though swipe behaviour remained a significant factor in its algorithm. The score was never visible to users — it operated silently, determining whose profiles appeared to whom and in what order.

The structural problem with a desirability score is that it conflates popularity with compatibility. Being swiped right on by many people says something about how you photograph and write a bio; it says almost nothing about whether you and any given person are genuinely suited to each other. The score optimises for engagement — the swipe itself — rather than for whether two people would actually want to build a relationship.

Apps built on desirability-score logic are designed to keep high-scoring users visible and, by extension, active and swiping. That is good for time-on-app; it is not good for you. It creates a popularity contest built around looks and photo performance, not the values, personality and shared outlook that relationship research consistently links to lasting compatibility.

Lamp does not rank you by a desirability score. It does not sort you into a looks tier or compare your swipe count to anyone else's. Instead, it builds a compatibility model from your personality, values, lifestyle and goals and introduces a curated few people who genuinely fit — shown with the reasons why before you say a word. You are not a score. You are a person, and Lamp matches you like one.

Key points

  • A desirability score is a hidden popularity rank based on right-swipe volume — borrowed from chess Elo.
  • Tinder publicly confirmed using one; in 2019 it stated it had moved away from Elo while retaining swipe-based signals.
  • It measures photo-and-profile performance, not compatibility — optimising for engagement, not relationships.
  • Lamp replaces score-based sorting with compatibility matching on personality and values.

Frequently asked

Does Tinder still use an ELO score?
Tinder confirmed using an Elo-style desirability score publicly, then stated in a 2019 blog post that it had moved away from Elo — though swipe behaviour remains a significant factor in its algorithm. The exact workings of the current system are not disclosed.
What is wrong with ranking by a desirability score?
It measures popularity and photo performance, not actual compatibility. Being widely right-swiped tells you nothing about whether two people share values, personality or life goals — which relationship research identifies as the best predictors of a lasting relationship. A score-based system optimises for time-on-app, not for your outcome.
Does Lamp use a desirability score?
No. Lamp matches on personality, values and compatibility — not on how many people swipe right on you. You are introduced to a curated few people who genuinely fit you, with the reasons shown, not sorted into a popularity tier.
What should a dating app algorithm use instead?
Compatibility signals: personality, values, lifestyle, goals, and what you want from a relationship. These are what predict whether two people will actually work — not how well either of them performs on a swipe feed. Lamp's algorithm is built around exactly that.
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