Leads4Less

Leads4Less is a React + Vite app for finding local business leads, saving them in Postgres, and browsing them in dashboard and map views.

Stack

• React 19 + Vite
• Local Fastify API + pg-boss worker
• PostgreSQL + PostGIS
• Google Maps Platform for browser maps and Places search

Local App Setup

1. Install dependencies: npm install
2. Copy .env.example to .env.local and fill in at least:
   • VITE_GOOGLE_MAPS_PLATFORM_KEY
   • DATABASE_URL
   • COOKIE_SECRET
   • GOOGLE_MAPS_SERVER_KEY
3. Run the frontend: npm run dev:web

The local backend and scripts load both .env and .env.local, with .env.local taking precedence, so you can keep the full local setup in one file during development.

If you open the app from another machine on your LAN, set VITE_API_BASE_URL and APP_ORIGIN to that host instead of localhost. In development, the frontend also auto-rewrites a localhost API URL to the current browser hostname to make local-network testing easier.

Local API Setup

1. Ensure PostgreSQL is running locally with PostGIS available.
2. Apply the local database migrations: npm run migrate
3. Start the API: npm run dev:api
4. Start the worker: npm run dev:worker

Docker Deployment

1. Copy .env.example to .env and set at least:
   • DATABASE_URL to the Compose database host, for example postgres://postgres:YOUR_PASSWORD@db:5432/leads4less
   • POSTGRES_DB
   • POSTGRES_USER
   • POSTGRES_PASSWORD
   • COOKIE_SECRET
   • GOOGLE_MAPS_SERVER_KEY
   • VITE_API_BASE_URL
   • VITE_GOOGLE_MAPS_PLATFORM_KEY
2. Build and start the full stack: docker compose up --build

The Compose stack starts PostGIS, waits for the database to become healthy, runs migrations automatically, and then starts the API, worker, and web containers.

Database Layout

• db/migrations/0001_local_core.sql creates the local-first schema.
• db/scripts/migrate.ts applies migrations in order and records them in schema_migrations.
• db/scripts/import-postal-areas.ts imports US ZIP/ZCTA and Canada FSA polygons from local GeoJSON files.
• db/scripts/build-postal-neighbors.ts builds adjacency links for deep research propagation.
• db/datasets/README.md documents the expected postal dataset locations and property names.

Postal Dataset Setup

1. Place your GeoJSON files in:
   • db/datasets/postal/us_zcta.geojson
   • db/datasets/postal/ca_fsa.geojson
2. Or override them with:
   • POSTAL_US_DATASET_PATH
   • POSTAL_CA_DATASET_PATH
3. Import and build adjacency: npm run seed:postal

Notes:

• Raw postal source files and generated GeoJSON datasets under db/rawdata/ and db/datasets/postal/*.geojson are ignored by git.
• The importer expects WGS84 lon/lat GeoJSON. If a source file is projected, re-export it to EPSG:4326 before importing.

Observability commands:

• npm run import:postal logs progress every 500 features by default.
• npm run build:postal-neighbors logs per-country progress and final adjacency totals.
• npm run check:postal prints current postal area and neighbor counts from the database.

You can change the import log interval with POSTAL_IMPORT_LOG_EVERY, for example: POSTAL_IMPORT_LOG_EVERY=1000 npm run import:postal

If you want to validate the current postal tables after an import or neighbor build, run: npm run check:postal

Google Maps Requirements

Enable these Google Cloud APIs for the keys you use:

• Maps JavaScript API
• Places API
• Geocoding API

Use a browser-restricted key for VITE_GOOGLE_MAPS_PLATFORM_KEY and a server-side key for GOOGLE_MAPS_SERVER_KEY.

Current Runtime Flow

1. The React app authenticates through the local Fastify API using cookie-backed sessions.
2. Search requests run through the local API and persist results in PostgreSQL.
3. The worker foundation is available for asynchronous job execution and deep research expansion.
4. The target architecture is fully local auth + Fastify routes + pg-boss workers + PostgreSQL/PostGIS.