App gallery / Leads

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New business leads
A lead list made from four states' business registries. Each business appears once, with its registry number, legal name, entity type, status, the date it was formed and its business address (Connecticut adds its industry code). Sort by formation date for the newest registrations: businesses that need a bank, insurance, an accountant, a website, suppliers. Business-level fields only by default: a registered agent's, officer's or chief executive's name and address, and Connecticut's contact email, can be turned on for your own app. Every page carries an outreach notice (CAN-SPAM, TCPA, do-not-call; no implied government affiliation).
Database app · 2 tables · design: Institutional Cobalt
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Tables
- states6 columns · 4 rows in the full data
- businesses24 columns · 11,090,284 rows in the full data
Sources and licences
- Colorado business entities (data.colorado.gov) — Public domain (per portal tag, third-party report) (Free with credit)
- Pennsylvania business entities (PA open data) — Public domain (per portal tag, third-party report) (Free with credit)
- Connecticut business registry (data.ct.gov) — Public domain (per portal tag, third-party report) (Free to use)
- New York active corporations (data.ny.gov) — NY Open Data terms (commercial use reported allowed) (Free with credit)
- Own packs (ours) — Ours (Free to use)
Shown in the app and its export: Business registrations from data.colorado.gov (modified for use from its original source, which is the State of Colorado), data.pa.gov (Pennsylvania Department of State), data.ct.gov (Connecticut Secretary of the State) and data.ny.gov (New York Department of State), retrieved 2026-10-21. Changed by CreativePower: combined into one table, one row per business, personal fields left out.
Sample: the whole source. Full data: 11.1 million rows, 2.3 GB. Measured 2026-10-21.
Data from data.colorado.gov, imported 2026-10-22.
The full data, for your own database
11,090,288 rows, 403 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.