I build GTM machines
that run themselves.

Real-copy placement tests across the whole sending fleet, so I know which inboxes actually land in the inbox before a campaign goes out.

SPF, DKIM, DMARC, blacklist and Spamhaus diagnostics across every sending domain, on a schedule.

Moved the whole program off a shared dirty sending pool onto owned, prewarmed infrastructure.

Verification-backed suppression that keeps undeliverables out of the send and protects domain reputation.

One command sources, qualifies and enriches a 40k-account universe with traffic, ads, firmographics and buying temperature.

Problem-size over wallet-size scoring that tiers every account, so reps work the highest-intent list first instead of a flat dump.

Pattern permutation, coworker inference and catch-all resolution that beats paid finders on hard, faceless lists.

Bulk cited-answer enrichment for the questions APIs can't answer, like the owner behind a faceless store.

Walks a store's real checkout per market and reads back the shipping cost, DDP/DDU incoterm, and which competitor or merchant-of-record they use.

Detects the cross-border provider a store runs so a pitch can name the incumbent instead of guessing.

Free per-country ad counts from Meta Ad Library and Google Transparency Center, validated against a paid vendor.

Published side-panel that turns a human into an audit machine for the stores bots can't crack.

De-anonymizes website visitors and fires outbound tailored to the exact pages they viewed, so intent turns into a booked call automatically.

Watches past champions for job changes and enrolls them into the right sequence the moment they land somewhere new, suppression checks first.

Cross-references the whole team's LinkedIn connections against open deals to surface who already knows the buyer, turning cold accounts warm.

Every reply is classified and drafted as an interactive Slack card with send, edit and rewrite, mirrored into Gmail, with a double-reply guard.

Sales call to AI recap to a draft in the rep's inbox, a CRM meeting log and a Slack DM, same day.

Surfaces stale deals and unanswered interested leads, drafts the follow-up, and routes the meeting to the right rep on rotation.

Describe a campaign in a sentence; the system builds the list, writes unique copy per person, validates every line and uploads it.

Lead with the audited per-package cost the prospect is actually eating. It's the measured winning message, not a guess.

Heavy template-level spintax and conditional flavor branches so a big send doesn't share one fingerprint.

The full sending program built on EmailBison end to end: inboxes, sequences, reply routing, and reporting wired into one operated pipeline.

A full lead-enrichment platform with a virtualized 50k-row grid, a money-safe enrichment engine, and an MCP server so agents can drive it.

The referential context, skills and memory system behind all of my work in Claude Code, so the GTM engine is operable by command instead of tribal knowledge.

Ten standing automations on owned infrastructure: sync jobs, linkers, attribution stampers, copilots and trackers.

HubSpot hygiene at scale: source-attribution backfill, deal-contact linking, dynamic do-not-contact sync.

Human-reviewed campaign-to-deal matching, built before the company had multi-touch, then grown into company-wide linear multi-touch through HubSpot.

Validation statuses, enrichment timestamps and rollback files on every write, so the CRM gets more trustworthy every week instead of rotting.

In-house replacement for a paid outbound-sync SaaS, on owned workflows at $0 license cost.