I build outbound systems
that bring ROI without adding headcount.

Shows which of your emails land in the inbox and which die in spam, before a campaign goes out.

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

Catches a silent authentication failure before it quietly tanks a send.

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

Moves your sending off a shared, burned pool onto owned inboxes that actually deliver.

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

Keeps undeliverable addresses out of the send so your domain reputation stays clean.

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

Builds and enriches your whole target market in one pass: traffic, ads, firmographics, and buying temperature.

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

valid-contact coverage 48% to 85%, at a fraction of vendor cost

Puts your reps on the highest-intent accounts first instead of a flat list.

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

Finds verified work emails on the hard, faceless lists paid finders give up on.

Pattern permutation, coworker inference and catch-all resolution that surfaces reachable emails on lists paid finders give up on.

Answers the research questions no database can, like who owns a faceless store.

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

Reads a competitor's real checkout in each market: shipping cost, duties, and who they ship with.

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.

98% anti-bot pass; $6-15 per 1,000 stores

Names the cross-border provider a store runs, so your pitch can call out the incumbent.

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

84% competitor-ID accuracy on a 334-store bench

Counts how many ads a brand runs per country, free, validated against a paid tool.

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

0.80 correlation vs the paid tool, at $0

Turns one person into an audit team for the stores bots can't crack.

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

Puts a name to your anonymous B2B visitors and fires outbound tied to the pages they viewed.

Identifies anonymous B2B website visitors (RB2B) and fires outbound tailored to the exact pages they viewed, so intent turns into a booked call.

Re-engages a past champion the moment they land in a new role.

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

Surfaces who on your team already knows the buyer, turning cold accounts warm.

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

Drafts every reply as a Slack card your reps can send, edit, or rewrite in one tap.

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

rewrites at $0.0066 each; learns each rep's voice

Turns a sales call into a recap, a CRM log, and a follow-up draft the same day.

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

$0.07-0.10 per call

Surfaces every stale deal and unanswered lead, drafts the follow-up, and books the meeting.

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

$4.6M stale pipeline surfaced

Describe a campaign in a sentence and get the whole thing back: list built, copy written per person, ready to send.

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

4,755-lead campaign written for $7.65 in ~4 min

An in-house replacement for Clay, so the enrichment bill stops recurring.

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.

729/729 tests green; 50k rows at 60fps

Runs the whole GTM engine by command instead of tribal knowledge.

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

40+ in-house skills

Ten always-on automations doing the work no one should do by hand.

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

Cleans and re-attributes a messy CRM at scale, so the data is trustworthy again.

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

81,892 contacts re-attributed

Shows which campaign actually drove each deal.

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

Validates every write so the CRM gets more trustworthy each week instead of rotting.

Validation statuses, enrichment timestamps and rollback files on every write.

Replaces a paid outbound-sync tool with owned workflows at no license cost.

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

replaces a paid SaaS at $0 license cost