Prelived generates ten households for every unit you’re building, as individuals rather than as percentages. Everything below follows from that one decision.
The population is generated first as distinct individuals, then clustered, and the segments are whatever comes out. So is how many there are.
5 segments across 600 generated households. Widths are demand share.
36 · PRODUCT MANAGER · GREENPOINT
34 & 42 · BIOTECH SCIENTIST & BIOTECH SCIENTIST · TORONTO
31 · TEACHER · BUSHWICK
26 & 29 · GRAPHIC DESIGNER & BARTENDER · RIDGEWOOD
35 & 34 · OPERATIONS LEAD & DIRECTOR OF ENGINEERING · UPPER EAST SIDE
Nothing above was chosen. This run produced 5 segments; most sites land at four to seven, and three or nine are both legitimate results.
Same amenity, different number. The bar is the middle half of the population — where it is wide, you are choosing whose amenity to buy. A ranking averages that into nothing you can build from.
| Amenity | Middle half of the population | Median |
|---|---|---|
| Private outdoor space | $166–$465 | +$338n=76 |
| In-unit laundry | $150–$255 | +$200n=142 |
| Co-working lounge | $81–$155 | +$115n=58 |
| central air | $78–$150 | +$110n=83 |
| fitness room | $65–$130 | +$95n=55 |
| Dishwasher | $60–$110 | +$85n=136 |
| Shared roof deck | $60–$114 | +$78n=74 |
| Storage | $40–$100 | +$60n=64 |
| Package room | $35–$75 | +$55n=91 |
| Bike room | $35–$60 | +$45n=66 |
Dollars per month above base rent. The bar spans the 25th to 75th percentile; the tick is the median. A wide bar is a decision — you are choosing whose amenity to buy. n is how many households weighted that amenity at all; anything under 25 is left out rather than shown thin.
So here is Ayana, taken apart
36 · product manager · hybrid · From Greenpoint
This run was generated without narratives, so this household has no written voice. Every structured field below is generated.
Every PreLive carries a generation_provenance record: which sources, which site-specific signals, and which slice of the modeled population produced that individual. It isn’t a summary of the method. It’s the trail itself, and it’s the same one a developer opens when they ask where a number came from.
The structured fields on this PreLive, as they sit in the record.
Every entry names the field it moved. A source that fed nothing isn't listed, because it didn't contribute.
No external source was fitted for this run. Every parameter below is a modeled prior, and this section fills in as sources are ingested — which is the honest state of it rather than a gap we papered over.
all
Signals that move a Brooklyn project and appear in no dataset.
The Trajectory Principle.
A site delivering in 2030 is generated against the 2030 neighborhood, not the one outside today. Schools, transit, and retail move in between, and they change who considers the area at all.
distribution_slice · Hybrid professional, single, intra-NYC move
Prelived has not been run against a completed lease-up.
These are modeled households, not forecasts of individuals. No real resident is represented, and no one was surveyed.
The methodology is unvalidated. Its numbers are defensible because the trail is visible, not because an outcome has confirmed them.
Scope is Brooklyn ground-up rental, 20–150 units. Outside that, the sources and the priors are wrong.
Share of demand is share of your program. That’s the whole arithmetic, and it resolves before the architect is briefed.
18 units · 1BR
17 units · 2BR
14 units · 1BR
6 units · 2BR
5 units · 2BR
This is share arithmetic, not a recommendation. It ignores what each group can pay, so it will happily put units into a type the population cannot afford to fill. The Program Studio prices every type against the same households and moves units accordingly — which is why the mix it returns is rarely this one.
A missed program pays for itself out of Year 1 — concessions to move the units nobody wanted, vacancy drag while they sit, and loss-to-lease on the ones priced under what someone would have paid. No figure is quoted here because we have not measured one; the mechanisms are the argument, and every one of them gets more expensive to reverse after schematic design.
Prelived enters at site acquisition and stays useful through schematic design — the window where program is still cheap to change. The sources, the neighborhood knowledge, and the methodology are tuned to Brooklyn submarkets. That’s a scope, not a soft launch.
Every figure on this page comes from one generation run against 94 West Street, Brooklyn, NY 11222 — a 60-unit ground-up rental delivering 2030-06-01. Methodology version 0.1.
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