Formation-Grade Lead Intelligence · AI-Native

From Just Leads
To Good Leads.

Old players scraped it last quarter. We built yours this morning. The difference isn't the list. It's the engine behind it — and when it runs.

Buy GoodLeads See how it works →
Data built at
Day 0
Triggered at state filing. Before anyone else knows the business exists.
Sources per record
11 joined
State filings, property records, identity verification, email validation, skip trace, and more.
Agent sessions today
24/7
Morning standups. Evening sweeps. Auto-improving while you sleep.
The Problem with Old Players

Everyone Has
The Same List.

Apollo · ZoomInfo · Legacy Databases

The Old Way

  • Data scraped and batched quarterly — sometimes annually
  • By the time you get it, 200 other reps already have it too
  • Phone numbers validated by existence, not deliverability
  • Contact titles guessed from LinkedIn, not decision-maker logic
  • No signal on when the business formed — or if it's even active
  • You compete on the same names, same emails, same timing
  • Static database. Quality degrades with every passing month.
GoodLeads.Club · Agent-Built

The GoodLeads Engine

  • Record built within days of state filing — before it's anywhere else
  • Nobody else has it. You own first contact.
  • 7-signal Reachability Score: phone validity, inbox activity, identity match, and more
  • Contact Relevance Score separates decision-makers from paperwork processors
  • Formation date, filing type, registered agent — full context baked in
  • AI agents improving every join, every field, every week
  • Living data engine. Gets better over time.
How We Build

Not a Database.
An Agent Org.

GoodLeads runs the same way a software company ships product — through an organization of specialized agents: managers, peers, escalation paths, and a culture documented in a wiki. Not one AI. A team. Working today.

Triggered at Formation
The moment a state records a new business filing, our pipeline runs. Day 0 data. Not day 90.
Platform EM + State GMs
A Platform Engineering Manager agent coordinates State GM agents — each owning a territory, running morning and evening standups.
Cross-Model Code Review
Every pipeline change reviewed by Claude and Codex — different model families — eliminating same-family blind spots before anything ships.
Agent Organization · Live in Production
Platform EM — Horizontal Scope
Reviews every PR · Daily org sweep · Friday recap · Auto-fixes mechanical gaps · Cross-model code review with Codex
State GM
CO
State GM
FL
State GM
VA
7 sessions · all exit 0 · 0 engineer interventions today
Self-Improving Data

Every Field Gets
Better Every Week.

The data you get today is better than what we shipped last week. Next week's will be better still. Three self-improving loops run continuously.

01
Comment Corpus → ML Signal
Founder commentary on record quality gets clustered, scored, and converted into formal eval criteria. Manager intuition becomes machine learning training signal. Competitors try to replace this with feedback forms. It doesn't work.
02
Forward-Replay Experiments
Variants run through the same production context-builder as live agents — not a separate one. Experiments actually predict production. Most teams compromise this. Once compromised, experiments stop meaning anything.
03
Auto-Revert & Verify
Agents don't just ship. They ship, verify, and auto-revert if something regresses. Per-vendor verifier registry runs daily. The pipeline doesn't drift. The data doesn't silently get worse.
Two Scores. One Record. No Guessing.

We Don't Just Check
If It Exists.

Every record ships with two proprietary scores, each trained on signals old databases don't collect. A phone number that exists and a phone number that answers are not the same thing.

Score 01
Reachability Score
0 – 100 · 7 signals
  • Phone validity Signal
  • Email deliverability Signal
  • Inbox activity Signal
  • Identity match Signal
  • Phone type (mobile vs. VOIP) Signal
  • Address precision Signal
  • Location confirmation Signal
Score 02
Contact Relevance Score
0 – 100 · Decision-maker logic
  • Owner vs. registered agent distinction Signal
  • Filing role vs. operational role Signal
  • Single-member vs. multi-member entity Signal
  • Title inference from filing type Signal
  • Cross-source identity confirmation Signal
Separates the decision-maker from the paperwork processor. Old databases guess from LinkedIn job titles. We infer from the filing itself.
Defensibility

What's Hard to Copy.
And Why.

A competitor can copy the surface in a sprint. Copying the architectural choices behind it takes a year — each one presupposes decisions made months earlier.

Component Why It's Hard to Replicate Difficulty
Comment corpus → judge scorer Requires a manager who comments in writing on a stable surface, a clustering pipeline, and the trust-ladder gate. Feedback forms don't substitute. High
Forward-replay experiment harness Variants share the production context-builder — not a separate one. Most teams compromise this; once compromised, experiments stop predicting production. High
Trust ladder + tier-keyed autonomy Policy file is small, but routing Tier-S changes to plain-English review — not Slack DMs to engineers — is a cultural commitment most teams won't make. Med–High
Cross-model code review Two API integrations and an aggregator. Defensible because Claude and Codex catch different classes of errors — same-family review misses this. Med
Day-0 formation trigger Requires state-level filing integrations built and maintained per-state. Each state uses a different schema and cadence. There are no shortcuts. High
Formation-Grade Lead Intelligence

Own
First Contact.

The business just formed. Nobody's called them. Nobody's in their inbox. That window doesn't stay open.

Buy GoodLeads
Formation-grade · AI-built · Self-improving · Yours before anyone else's