GoodLeads.Club
Prepared for Verizon Business

33 sources and engines behind every record. A filing scraper has one.

Built every night from the source: 17 data sources refined by 16 intelligence engines of our own. Every fact on a record names where it came from, and two scores tell you who to call first.

17external data sources: 13 public feeds (six states' filings, Census, property records) and 4 partners for phone, email, identity and AI reading
16intelligence engines of our own, run in order on every record
9reference corpora underneath: every U.S. surname and given name with its frequency, NAICS · SIC · MCC taxonomies, USPS geography, area codes, neighborhoods, time zones
Every nightthe day's filings become records before you wake up. The count is pinned to the code.

The nightly buildwhat happens to one filing

1
Pull the filings

Every new business the state published that day, as the state published it.

State filings · 6 states
2
Screen out what isn't a business

Mail drops and formation suites, holding shells, single-property LLCs. 83% pass.

Address intelligenceRegistered-agent intelligence
3
Find the decision-maker

The officer or owner named on the filing, not the attorney or service who filed it. Every U.S. surname (162,249) and given name (6,782) with how common each is, so a match on a rare name counts for more than a match on a common one.

US Census surnamesSSA given namesName intelligenceProfessional-filer detection
4
Place the business

Home or commercial address, neighborhood and its income, metro, time zone.

US CensusProperty recordsUSPS · neighborhoods · time zonesAddress + property intelligence
5
Name the line of business

Industry, NAICS and MCC from the business name and filing; AI reads the hard ones.

NAICS · SIC · MCC taxonomiesIndustry classification
6
Find and verify the channels

Mobile or landline, in service or not; email deliverable, and active in the last months.

Phone recordsEmail verificationContact intelligence picks the route
7
Pick the best person, phone and email

Among everyone named on the filing and every channel found, one primary of each.

Primary contact · phone · email selection
8
Score

Can we reach them, and is this the right person. Then the record is yours.

ReachabilityDecision-maker
Public recordVerification partnerOurs
ReachabilityCan we reach them? Every record, 0–100 and a tier.
Phone in service, mobile over landline
Email deliverable and active recently
Identity confirmed across sources
Address type: home or commercial
Area code fits the state
Line of business known
On FireVery HotHotWarmCold
Decision-makerIs this the right person? The founder, not the filer.
Named on the state filing
Their own registered agent
Address matches the business
Name appears in the business name
How many businesses share this person
How common the name is
Professional filers flagged and set aside
Decision makerLikely decision makerProbable contactUncertain contactUnlikely
Tiers and the families of signals are on every record. How they combine is ours.

How the four founders scored

FounderReachabilityDecision-maker
Charisse Maes · Blue StrategyOn Fire 97Decision makerHow it was built →
Karla Guerrero Granados · Irene MarketingOn Fire 92Decision makerHow it was built →
Brittany Barrere · H & B HaulingOn Fire 92Decision makerHow it was built →
Hung Tran Ngo · Golden EvergreenOn Fire 100Decision makerHow it was built →
Run by AI agents, reviewed by AI agents

An agent team runs the build nightly, briefs on each state's data every morning, and reviews every change to the intelligence before it ships. The build gets better every week without waiting on us.

See the system brief →

Sources and steps as of September 2026, from the platform's source registry; the count is checked by the build every time the code changes.