CupidLeaks
DE

Data lexicon for the dating economy

How dating appsreallywork.

People. Patterns. Mechanisms.

An independent look at incentives, algorithms, and asymmetries, plus tools that let you test the claims against your own data.

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Three tools

Read. Measure. Simulate.

CupidLeaks turns the dating economy into understandable concepts, verifiable metrics, and a system you can change yourself.

01Lexicon

Understand the system.

From attention asymmetry to monetization: 11 compact chapters explain the machinery behind the swipe.

Explore chapters
02Analysis

Measure your reality.

Load your Hinge data export locally in the browser. We calculate metrics locally, without uploading your file or creating an account.

Analyze data
03Simulator

Change the rules.

Take the platform role. Switch algorithms and monetization mechanics and watch inequality emerge.

Start simulation

Attention inequality

Many signal. Few are seen.

Attention depends on selection, visibility and the observed pool. This curve is a synthetic illustration, not a measurement of any particular dating app.

Synthetic illustration Gini 0.69

In this illustration, the top 10% of profiles receive about 58% of all likes, the bottom half only about 6%.
  • Equal distribution
  • Illustration
Lorenz curve of a synthetic illustration In this illustration, the top 10% of profiles receive about 58% of all likes, the bottom half only about 6%. Gap to equal distribution = Gini 0.69. 0% 0% 25% 25% 50% 50% 75% 75% 100% 100% Cumulative share of profiles (sorted from fewest to most likes) Cumulative share of all likes Gap toequal distribution = Gini 0.69

Key figures of the illustration

Share of all likes going to the top 10%
~58%
Share of all likes going to the bottom 50%
~6%
Gini (0 = equal, 1 = one gets everything)
0.69
Simulated profiles
2,000

In the simulator lab, values differ by engine and starting value (seed). The Gini there often lands between 0.1 and 0.4. Open the lab

Read the assumptions and limitations

From the lexicon

Terms that make the pattern visible.

Chapter 01↗

Overview

Usage, business models and current quarterly results: what the evidence supports and where its scope ends.

Chapter 02↗

Asymmetries

Contact patterns, selection and model assumptions: why universal success rates by gender are insufficient.

Chapter 03↗

Attention economy

What choice overload can explain and what Lorenz curves, Gini and simulated frustration actually measure.

Chapter 04↗

Communication & ghosting

Ghosting as an experience and a limited export heuristic: neither diagnosis nor universal prevalence.

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