40% Reply Rate.
$374K Closed.
100% Organic Inbound.
Deep Loom isn't a single-deliverable vendor to Ovrhaul - it's a full AI partner, the same way Ovrhaul is one for its own clients: content, marketing, AI agents, and custom SaaS, under one roof. Beyond the signal-based outbound system - 40% reply rates, 20+ booked calls in a single week - that partnership took over founder Ryan Montoya's LinkedIn content and strategy, helping close $374K in automation deals over five months.
A Pipeline Capped by Hours, Not Market Size
Ovrhaul is a full-stack AI automation agency founded by Ryan Montoya - custom AI agents, voice agents, chatbots, and automation systems, built for businesses across every industry rather than one niche. Their business runs on relationships: new clients came through word of mouth and direct outreach.
As their client base grew, manual prospecting couldn't keep up. Buying intent existed in the market - job postings, headcount growth, the usual signals of a company about to invest in AI - but no one was capturing it systematically. Research, list-building, personalisation, and follow-up were all done by hand, all inconsistent. Pipeline velocity was capped by how many hours the team could spend on outreach, not by how big the market actually was.
Buying intent existed in the market but wasn't being monitored
Hours spent on list-building with no repeatable process
Sequences started manually, rarely completed
Contact data assembled by hand per prospect
Outreach volume capped by team bandwidth, not market size
The LinkedIn Content Engine Behind $374K
Outbound wasn't the only engagement. Deep Loom works with Ovrhaul the same way we work with Ryan personally: social media growth, content strategy, AI agents and automations, and custom SaaS development - not a single deliverable. Starting in January 2026, that expanded to running Ryan's own LinkedIn - content, positioning, and strategy. Within one month, his output had jumped 8x.
Over the next five months (February through July 2026), that content engine helped close $374,000 in automation work. Ryan's page went from a near-flat posting history to tens of thousands of impressions, with individual posts pulling hundreds of comments and driving north of 20 inbound meeting requests a day - roughly half ICP fits, half budget fits. All organic: no ads, no cold outreach on that channel.
In Ryan's words: "He's basically our fractional content, marketing, and engineering team in one, and this is the easiest recommendation I've ever given."
Ryan's LinkedIn Content Analytics - impressions climbing from near-zero after the takeover
A Signal Layer, Plus a Content Engine
We built a fully automated signal-based outbound machine that runs continuously in the background - zero SDRs, zero list-building, zero manual research after setup. It monitors LinkedIn for two high-intent buying indicators: job postings for AI, Marketing, or Growth roles, and headcount growth above 20% quarter-over-quarter. Both map precisely to Ovrhaul's buyer profile.
Every triggered company is automatically enriched - decision-maker name, title, verified email, and LinkedIn URL - without a human touching a record. Enriched leads enter a multi-touch sequence personalised by signal type, company size, and niche, staggered over 14 days across email and LinkedIn.
Running in parallel, not in place of it: Ryan's own LinkedIn presence, rebuilt as a second, founder-led growth channel feeding the same pipeline.
LinkedIn monitoring for AI, Marketing, and Growth roles as active buying signals - a direct read on budget and intent.
Companies with 20%+ QoQ headcount growth flagged automatically as expansion targets.
Decision-maker name, title, verified email, and LinkedIn URL appended per company - no manual step.
Email and LinkedIn touchpoints staggered over 14 days, personalised by signal type and company size.
Outreach copy adapts to the specific trigger - job post vs. growth signal vs. industry niche.
Signal detected, lead enriched, sequence triggered - fully automated end-to-end, every week.
Not Just Client Acquisition - a Full AI Partner.
Ovrhaul doesn't bring Deep Loom in for one deliverable. It's the same relationship Ryan runs with his own clients: content, marketing, AI agents, and custom SaaS, under one roof.
Nov 2025: Ryan and Daniel connect. Jan 2026: the engagement starts across content, marketing, AI development, and custom SaaS at once - not a single deliverable.
A signal-based outbound system goes live alongside a full rebuild of Ryan's own LinkedIn presence. Output jumps 8x in the first month.
Deep Loom operates as Ovrhaul's embedded technical team - shipping AI agents, automations, and custom SaaS work across client verticals from barbershops to fintech.
Feb-Jul 2026: $374K in automation work closed, driven largely by the LinkedIn engine, with outbound compounding in parallel.
40% Reply Rate. $374K Closed. 100% Organic Inbound.
40% reply rate on outbound, 20+ booked calls in a single week at peak, zero manual prospecting from the moment the signal system went live. Cold outreach that references a company's recent hire or growth trajectory isn't cold - it's timely, and timing did the work that volume alone never could.
The bigger number came from the second channel. Ryan's LinkedIn, rebuilt from near-zero output, became the highest-leverage growth surface in the business - driving $374,000 in automation work over five months, entirely through organic inbound.
In Ryan's words: "He's basically our fractional content, marketing, and engineering team in one, and this is the easiest recommendation I've ever given."
Signal-based outbound system - live results
One of Ryan's posts - 570 comments, fully organic