Where the
conclusions come from
MAKE IT HERE never presents an AI guess as an established fact. Every figure in the product carries one of four labels.
Eleven factors, one number
For a business category at a location, each factor is normalized to 0–1 from the data within the category's market radius, multiplied by its weight, and summed to a 0–100 score. Category-specific weights override these defaults (a hotel weighs visitor demand more; a coffee shop weighs morning traffic and complementary businesses more). The full factor table is shown wherever a score appears.
| Factor | Default weight |
|---|---|
| Population in market radius | 12 |
| Population growth | 12 |
| Household income | 10 |
| Traffic exposure | 12 |
| Competitive headroom | 18 |
| Complementary businesses | 12 |
| Residential density | 8 |
| Daytime / employment density | 5 |
| Visitor demand | 3 |
| Nearby institutions | 3 |
| Development pipeline | 5 |
| Household spending power | 7 |
| Migration into the county | 4 |
| Industry momentum | 5 |
Competitive headroom compares existing competitors in radius to the number the population could support (residents ÷ typical residents per unit, calibrated from comparable-city benchmarks). Distances use great-circle math on point coordinates.
Pieces present, pieces missing
Cluster archetypes (Neighborhood Social Hub, Family Activity, Wellness, …) are defined as sets of category components observed recurring in successful districts of comparable cities. For each Lancaster district we count which components already exist and report completeness and the missing pieces. Archetype definitions are analyst-curated and labelled AI/interpretation; the counts are calculated.
Then → now
Cities are matched on metro population, growth, geography, income, tourism, regional role, highway connectivity, airport access, college presence, healthcare employment and housing pattern. District matches pair a comparable district's earlier state with a Lancaster district today; the sequence of what happened next is presented as evidence, and the "lessons" are labelled interpretation.
Grounded answers
The assistant receives a compact digest of the loaded city dataset — districts, counts, traffic, pipeline, scores, comparables — and is instructed to answer from it, to flag placeholder data, and to mark its own reads explicitly. Its output is always labelled AI.
Providers, connected and planned
The platform is built so any provider can be added or replaced. Every dataset records source, date, geographic level, confidence and last-updated. Current status for the Lancaster pilot:
- ConnectedOpenStreetMap business & institution inventoryOpenStreetMap contributors · point · 2026-09-11 · confidence: medium
Named businesses and institutions inside Lancaster city limits, categorized into the platform taxonomy.
- ConnectedCounty Business PatternsU.S. Census Bureau · county · 2022 (compared with 2019) · confidence: high
Establishments, employment and payroll by industry sector, with change since 2019.
- ConnectedSmall Area Income and Poverty EstimatesU.S. Census Bureau · county · 2023 · confidence: high
Model-based county poverty rate and median household income, updated annually.
- ConnectedBuilding Permits Survey (annual, place level)U.S. Census Bureau · place · 2025 · confidence: high
Residential units and construction value permitted in the City of Lancaster each year.
- ConnectedAmerican Community Survey 5-yearU.S. Census Bureau · census tract · 2019–2023 5-year (and 2014–2018 for growth) · confidence: high
Population, households, income, age, employment and housing units by tract, aggregated to districts.
- ConnectedCurated development pipelineMAKE IT HERE analysts · point · 2026 · confidence: medium
Named Lancaster projects compiled from local reporting, each row carrying its own citation.
- ConnectedLancaster County authoritative zoning mapLancaster County GIS · zoning district · Zoning map updated 07/09/96 · confidence: high
Municipal zoning district polygons for every Lancaster County municipality, published as an authoritative feature service.
- ConnectedCensus Planning DatabaseU.S. Census Bureau · tract · 2023 release (ACS 2017–2021) · confidence: high
Prepackaged tract-level demographic and housing measures: poverty, education, vacancy, renters, age mix.
- ConnectedACS Public Use Microdata SampleU.S. Census Bureau · puma · 2019–2023 5-year microdata · confidence: medium
Anonymised household records for the Lancaster PUMAs, used to profile income and life-stage segments.
- ConnectedAnnual Business Survey (successor to the Survey of Business Owners)U.S. Census Bureau · county · 2022 · confidence: high
Employer firm counts, revenue, payroll, owner demographics and years in business for Lancaster County.
- ConnectedComparable city profiles (ACS)U.S. Census Bureau · place / metro · 2023 ACS 5-year · confidence: high
Population, income, age and growth for each comparable city and its metro.
- ConnectedComparable district business mixOpenStreetMap contributors · district · 2026-09-11 · confidence: medium
Today's business mix inside each comparable district radius, categorized like Lancaster.
- ConnectedLancaster City zoning ordinance use tablesCity of Lancaster · zoning district · 2026 reading · confidence: medium
Permitted, special-exception and prohibited uses by zoning district, read from the City of Lancaster zoning ordinance and mapped onto the app business categories.
- ConnectedCounty-to-County Migration FlowsU.S. Census Bureau · county · 2018–2022 5-year flows · confidence: high
Annual county-to-county migration flows: who moves into and out of Lancaster County, and from where.
- ConnectedPennDOT Roadway Management System open dataPennsylvania DOT · segment / node · 2026 · confidence: high
Current annual average daily traffic on state-maintained roads plus intersection nodes.
- ConnectedCategory benchmark modelMAKE IT HERE · city · 2026-09-11 · confidence: medium
Businesses per 10,000 residents for Lancaster and the median of its comparable cities.
- ConnectedOpportunity Score v0.1MAKE IT HERE · district · 2026-09-11 · confidence: medium
Eleven weighted factors scored per district and category from the connected feeds.
- ConnectedCluster archetype definitionsMAKE IT HERE analysts · model · 2026 · confidence: medium
Analyst-curated sets of business types that recur together in successful districts.
- ConnectedComparable district timelinesMAKE IT HERE analysts · district · 2026 · confidence: medium
Curated then-to-now sequences and lessons drawn from public reporting on each comparable district.