Is your city bullish or bearish for dating?

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Dating Market Terminal

Ayush Upneja

@upneja · draft

Dating apps didn’t make every city equally bad. NYC bad is not SF bad. DC bad is not Austin bad. Miami bad is its own asset class. So I’m building a dating-market terminal for cities: singles, cost, churn, third places, and how often you can meet someone without making it a whole production.

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what the visualization is

A trading-terminal-style city board ranking dating markets by liquidity, cost, churn, and offline surface area.

data shape

ACS singles/age mix + wages/rent/date cost + migration churn + third-place density.

animation

Ticker loads cities one by one, bad metrics flash red, final screen sorts cities into Bullish / Bearish / Volatile / Broken.

why it works

It turns fuzzy dating complaints into a scoreboard people can fight over.

Thread beats

1.Liquidity = singles density and balanced age bands. Affordability = rent pressure + wages + cost of a date.
2.Offline surface area = third places, recurring events, parks, bars, cafes, libraries, gyms, and walkability.
3.The point is not to rank humans. It is to show why meeting people feels easier in some cities than others.

Sources to pull