Silver GTM · Your outbound system, built in 14 days

Your outbound system,
built in 14 days.

I work with you to source your whole market, from places Apollo and ZoomInfo can't reach, hand you the accounts ready to buy now, and build the machine that runs the outbound. You keep all of it. The systems behind $6M+ in pipeline.

Your outbound is duct tape.

Tools are cheap now. Anyone can buy a list. What's missing is the person who maps it into a system. Companies know it. On the specialist GTM job boards alone, they posted 1,500+ roles last year for exactly that person: a GTM engineer.

01Buying a list is easy. Knowing which data maps to your market, where your buyers actually live, is the part no tool answers.

02Nobody's mapped your real total addressable market, or scored which accounts are worth a rep's time. (71% of those job posts ask for exactly this: funnel, routing, scoring.)

03Nothing's connected. Clay, your CRM, your sender, and your enrichment all live in separate tabs, wired together by hand. (70% of the role is "integrate the stack through its APIs.")

04The person who fixes this is a GTM engineer, someone who maps your market and your offer into a system. They take three months to find, $150k+ to keep, and a third of companies can't even justify the full-time hire.

You don't need another tool, or a three-month hire.
You need your market mapped and your outbound system built right.

	A new hire	An outbound agency	Silver GTM
Time to value	3+ months	weeks	weeks
Cost	$150k+/yr	$4-11k/mo, ongoing	fixed-scope build
Where the data comes from	off-the-shelf tools	data marketplaces	sources that aren't for sale
Technical depth	varies	varies	engineer-grade
Who owns it	you	them	you

A new hire

An outbound agency

Silver GTM

Time to value

3+ months

weeks

Cost

$150k+/yr

$4-11k/mo, ongoing

fixed-scope build

Where the data comes from

off-the-shelf tools

data marketplaces

sources that aren't for sale

Technical depth

varies

engineer-grade

Who owns it

you

them

you

iv. Selected builds

I built these systems. I ran them. They worked.

Not handed-off theory. Outbound engines I built and operated myself, and the data behind each one. If your buyers exist somewhere, I can reach them.

Built and run

Client · Pixel Pirate Studios · Built & ran

I built and ran the entire outbound engine for $30k video-production deals.

i.Built the ICP and data layer for high-ticket creative buyers, the accounts worth a $30k conversation.
ii.Wrote and ran the cold-email sequences myself, start to finish.
iii.Result: $5M+ in pipeline at a 2% meeting rate.

Client · John Snow Labs (medical AI) · Built & ran

I built my own outbound infrastructure in Clay, then ran it as their top SDR.

i.Built the tooling and sequences in Clay, on my own initiative and my own budget.
ii.Ran it as the operator: 20+ meetings booked per month, top SDR on the team.
iii.Result: $2M+ in qualified pipeline into medical AI.

Enterprise meetings at GE Healthcare, Medtronic, J&J and Pfizer were booked here.

Client · US magazine advertising company · Built & ran

I built and ran the outbound that reached the local businesses they sell advertising to, the ones that barely exist in Apollo or ZoomInfo.

i.Scraped and deduped every business in their target metros from Google Maps.
ii.Qualified to their exact ICP with a config rule set, then found each owner from the business's own site and Google at roughly 98% match.
iii.Generated a {business_type} token so the sequence spoke to a roofer, an HVAC contractor, or a plumber directly.
iv.Result: a 9% reply rate, ~4.5% of everyone contacted into a live sales conversation, against a 1-2% local norm.

Pattern: config-driven engine, re-point it at any metro or vertical and it runs again.

Client · Karen Roberts Coaching · UK · Built & ran

Built and ran the cold-outbound engine for $8k podcast-production offers.

i.Built the targeting, sales assets, and sequences, then ran the campaign end to end.
ii.Result: $112k in pipeline and 15 meetings from 1,400 emails.

Client · AI hiring platform · Delivered

Built and ran the full outbound system for an AI hiring platform, then delivered it.

i.Scored targets through to live multichannel sequences, end to end.
ii.Ran it, proved it, and handed over the working engine. Anonymized under NDA.

The data behind it

Client · PE Growth Partners · Built

Booked meetings into private equity and investment banking, a segment cold outbound rarely cracks.

i.Estimated each firm's AUM by matching Crunchbase against SEC Form ADV filings, no premium subscription.
ii.AI agents extracted portfolio companies and sectors from PitchBook profiles.
iii.An enrichment waterfall found the decision-makers, a 3-step sequence ran in Email Bison, and positive replies routed straight to Slack.
iv.Result: a 2.5% reply rate with about half positive, running 12 campaigns a month, with meetings booked at Lex Capital Group and Aurum Capital.

Pattern: multi-source fusion plus agentic extraction.

Client · AI Reserve · Built

Companies too new and too narrowly funded to exist in any database. I built the engine that found them all.

i.Sourced from three places at once: SEC Form D filings (a free Crunchbase alternative), ~50 scraped VC and PE portfolios, and Apollo.
ii.Resolved, deduped and size-gated every company down to one clean universe by domain.
iii.Scored each one with an LLM against a custom rubric, then split into tiers, qualification no keyword filter can do.
iv.Result: a reusable engine they own and a fully qualified target universe, not a one-off list.

Pattern: multi-source fusion, deduped and LLM-scored into one universe.

~40 clients across outbound agencies · Built

Across roughly 40 clients at outbound agencies, I built the layer that reads the data and shows what's actually performing.

i.Connected to Instantly, Smartlead, or HeyReach via API and pulled the real account data, not a screenshot.
ii.Pinpointed the true bottleneck against a fixed rubric and the client's own GTM: deliverability, copy, offer, or targeting.
iii.Result: prioritized fixes that turned around live campaigns, and a 3-4% reply rate held on the strong ones.

Pattern: API-driven audit and performance reporting, a layer teams keep.

Engines I've built YouTube lead-gen pipeline · SEC Form D sourcing pipeline · DesignRush directory engine · Two-tier LLM qualification harness

The kind of data I use

SEC Form DSEC Form ADVVC & PE portfoliosPitchBookGoogle MapsApolloJob boards & ATSBusiness directoriesCompany websitesYouTubeAgency platform APIs

If your market lives somewhere a list tool can't reach, that's exactly where I build.

$6M+

pipeline built and run

40+

clients across agencies

20+

meetings a month at peak

peak reply rate, vs 1-2% norm

$1.20

per qualified lead

I guarantee the part I control.

Your data foundation comes 95% deliverable or I replace it free. Your system is built to spec and passes an inbox-placement test before handoff. I won't promise you a set number of meetings. That depends on your offer and your team. But I'll promise the machine works and the data is clean, the part most people get wrong. I've built and run these systems myself, so I only guarantee what I know holds.

Hi, I'm Victor.

I've built and run the outbound behind $6M+ in pipeline across 40+ clients. I started as the SDR who books the meetings and became the engineer who builds the system behind them. I work in Clay, n8n, Make, Apify, and the OpenAI and Anthropic stack, for B2B teams that want pipeline infrastructure without the headcount. I work with teams anywhere.

Your outbound system,
built in 14 days.

Your outbound is duct tape.

Three ways to start.
Each one hands you the keys.

GTM Data Foundation

Outbound System Build

Clay Workspace Optimization

An operator who's carried the number, and the engineer who builds the system behind it.

I built these systems. I ran them. They worked.

I built and ran the entire outbound engine for $30k video-production deals.

I built my own outbound infrastructure in Clay, then ran it as their top SDR.

I built and ran the outbound that reached the local businesses they sell advertising to, the ones that barely exist in Apollo or ZoomInfo.

Built and ran the cold-outbound engine for $8k podcast-production offers.

Built and ran the full outbound system for an AI hiring platform, then delivered it.

Booked meetings into private equity and investment banking, a segment cold outbound rarely cracks.

Companies too new and too narrowly funded to exist in any database. I built the engine that found them all.

Across roughly 40 clients at outbound agencies, I built the layer that reads the data and shows what's actually performing.

I guarantee the part I control.

Hi, I'm Victor.

Built right, once. Yours to run.

Your outbound is duct tape.

Three ways to start.Each one hands you the keys.

GTM Data Foundation

Outbound System Build

Clay Workspace Optimization

An operator who's carried the number, and the engineer who builds the system behind it.

I built these systems. I ran them. They worked.

I built and ran the entire outbound engine for $30k video-production deals.

I built my own outbound infrastructure in Clay, then ran it as their top SDR.

I built and ran the outbound that reached the local businesses they sell advertising to, the ones that barely exist in Apollo or ZoomInfo.

Built and ran the cold-outbound engine for $8k podcast-production offers.

Built and ran the full outbound system for an AI hiring platform, then delivered it.

Booked meetings into private equity and investment banking, a segment cold outbound rarely cracks.

Companies too new and too narrowly funded to exist in any database. I built the engine that found them all.

Across roughly 40 clients at outbound agencies, I built the layer that reads the data and shows what's actually performing.

I guarantee the part I control.

Hi, I'm Victor.

Built right, once. Yours to run.

Three ways to start.
Each one hands you the keys.