App gallery / Leads

Shown in Ticker Orange Noir · 16 featured looks, 520+ more to choose from
Contractor leads from building permits
A lead list made from two cities' permit records. Each permit names the contractor (company), the kind of work, the property's address and map pin, the dates it was approved, issued and expires, and the value of the job. Contractors are listed once per city with their trade or licence type, so you can see who is busiest and where. Business-level fields only: New York owners' and applicants' names and addresses can be turned on for your own app; Austin's personal fields are never imported, under the City's terms. Every page carries an outreach notice (CAN-SPAM, TCPA, do-not-call).
Database app · 3 tables · design: Ticker Orange Noir
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Tables
- cities6 columns · 2 rows in the full data
- contractors6 columns · 50,485 rows in the full data
- permits37 columns · 3,397,783 rows in the full data
Sources and licences
- NYC DOB permit issuance (NYC Open Data) — NYC Open Data terms of use (no licence field on data.gov) (Free with credit)
- Austin issued construction permits (City of Austin open data) — City of Austin Open Data Terms of Use (PDF) (Free with credit)
- Own packs (ours) — Ours (Free to use)
Shown in the app and its export: Building permits from NYC Open Data (NYC Department of Buildings, DOB NOW: Build Approved Permits) and the City of Austin, Development Services Department (Issued Construction Permits), retrieved 2026-10-21. Changed by CreativePower: columns renamed and combined, contractors listed once per city, personal fields left out.
Sample: the whole source. Full data: 3.4 million rows, 1.6 GB. Measured 2026-10-21.
Data from data.cityofnewyork.us, imported 2026-10-22.
The full data, for your own database
3,448,270 rows, 258 MB to download. CreativePower keeps only the made-up sample rows in your project; load the full data into your own PostgreSQL database (Supabase works): download these files into one folder, unzip the .csv.gz files, then run psql "<your connection string>" -f load.sql.