The First 72 Hours in a New City

Yango has reclaimed over 2 million hours of commute time across African cities. That number started with a simple question repeated in city after city: can a marketplace work here? Around 37 cities in the world have more than 10 million people.¹ Most marketplace businesses will live or die in cities smaller than that. The question is which ones.

The first mistake is treating a city visit like a sales trip. Meetings are useful, but they lie by omission. A minister, a telecom executive, a bank CEO, and a logistics founder can all describe the same city and still miss the ground that decides whether a marketplace clears. The answer sits in the street. Where young people live. Where vehicles come from. Where cash changes hands. Where the queue forms when everyone needs the same thing at once.

Jane Jacobs called cities "problems of organized complexity", too many interacting variables for statistics, too structured for randomness.² That is exactly why the first 72 hours matter. A city gives up enough signal quickly if you know what to count. The job is to find the one constraint that will decide whether capital helps or disappears.

The street age

The first variable is age, but the census version is too blunt. Median age tells you who lives in the country. Street age tells you who is economically active in the city. Universities, technical schools, nightlife, informal commerce around campus gates, phone repair stalls, betting shops, crowded food spots after dark. Adoption infrastructure, disguised as lifestyle detail.

Young people try new things because their current habits are still cheap to rewrite. They chase bargains, switch channels, compare prices, and tell friends before anyone has bought a billboard. In a city where the young workforce is visible, densely housed, and moving daily, a marketplace gets a natural testing loop. Every new rider or driver sits inside a social graph that can transmit the product without a marketing department pushing each transaction from the top.

The opposite is a city that looks young on paper but old in its transaction habits. If the youth are dispersed, underemployed, or cut out of the asset base needed to participate, the median age number becomes decoration. You can sell an app into that city and watch download graphs move. The market still will not turn.

The supply gate

The second variable is the natural constraint on supply. For transport, the question is simple: how does a vehicle enter this economy? Import duties, local assembly, insurance, registration, financing, spare parts, fuel, enforcement. The supply side has to clear all of them before the rider ever opens the app.

Most marketplace decks start with demand because demand is easier to draw. Population, smartphone penetration, urbanization, income. Demand rarely kills the business first. Supply does. If a driver cannot make the math work on a Toyota Vitz, a Bajaj Boxer, or a small commercial fleet, the marketplace has no liquid side to match against demand. No supply, no density. No density, no business.

The question in the first 72 hours is whether the supply gate is financial or structural. A financial gate can be opened. A structural gate has to be routed around or avoided.

The Brazzaville wall

Brazzaville taught me the difference. On paper, the city looked plausible. Young enough. Universities present. Clear movement need. The kind of place where a country-level read would say: small, but worth testing. Then the ground told a different story. The government had banned 2- and 3-wheelers.

That single decision removed the affordable entry point for the supply side. A young person could not buy or lease a cheap motorcycle and become productive. Taxis stayed expensive. Utilization stayed low. Demand existed, but the vehicle economics could not meet it at the price the city needed. Capital would not have solved that. More marketing would not have solved that. It was a wall, not a gap.

Lusaka had the opposite shape. Young city, growing fast, no ban on affordable vehicle types, import economics that let the unit math work. The supply constraint was capital. Once transport companies could acquire vehicles and make them scoreable through platform data, the city had a path to density. The same operational lens that rejects Brazzaville tells you why Lusaka can work.

The cash loop

The third variable is settlement. How quickly can value move from the platform to the person who needs it? In many of these cities, a driver does not experience income as a monthly line item. He experiences it as fuel, food, rent, debt repayment, school fees, and cash handed home at the end of a day. A marketplace that traps his money for a week asks him to finance the platform out of his working capital.

That is why the first city walk has to include cash points, kiosks, mobile-money agents, airtime sellers, fuel stations, and the places drivers actually stop between trips. The payout rail is part of the marketplace. In No Float Expected, I wrote about the driver who turns platform earnings into cash at a Wave kiosk in Dakar. That loop is the condition that lets the supply side keep working.

If the city already has dense agent rails, the marketplace can ride them. If it does not, you either build distribution before growth or you accept that the apparent demand will outrun the driver's liquidity. The spreadsheet will call this payments infrastructure. On the street, it is whether the driver can fuel up tomorrow morning.

The first answer

By the end of 72 hours, the right output is one sentence, not a market-entry memo with ten sections: the city works if this constraint can be solved. The constraint might be vehicle finance. It might be regulation. It might be agent density. It might be a city whose young people are visible but broke, or whose supply side can move but cannot settle cash fast enough.

The distinction matters because capital constraints are opportunities. Structural constraints are exits. A city with no vehicles but financeable operators is a deal problem. A city with a legal ban on the only affordable vehicle class is a sequencing problem at best and a no-go at worst. A city with young demand and no payout rail may need distribution before marketing. A city with dense informal commerce and broken formal finance may be ready for the financing loop. And a city whose macro stack reads rare, the way Addis Ababa does, still reduces to whether one constraint, telecom, payments, or currency, can actually be solved.

The density dividend a city can produce depends on whether the ground-level conditions are actually present: short distances, mixed use, cheap space for new businesses, reachable supply, daily settlement, and enough repetition for habit to form. The numbers come after. The first 72 hours tell you whether the numbers deserve your trust.