Track record built across
CAC Reduction & Trial-Activation Infrastructure
The gap is your post-signup infrastructure, and it's compounding against you. I install the content and email GTM layer that converts trial signups into paying users and compounds your founder authority into inbound pipeline that lowers CAC.
Built from one 30–60 minute interview a week. You never write a word.
Track record built across
02 : Your Series A Capital Isn't Compounding. Here's Why.
The reason is structural. Your Series A unlocked budget for headcount, infrastructure, and paid acquisition, but it didn't install the content and email layer that makes those investments compound. So you're paying SDRs to brute-force pipeline that decays the day they quit, and your post-signup email (probably written by a developer six months ago) is silently losing 60–80% of every trial signup you've paid to acquire.
Median private-SaaS CAC payback has stretched to 20–23 months (Benchmarkit). Every week without founder-led content, your acquisition cost keeps rising while your competitors' starts falling. That gap shows up in your Series B terms.
The industry average trial-to-paid conversion is 3–5%. The best operators hit 15–25%. The post-signup email infrastructure drives the gap, and most Series A companies are still running the dev-written template from launch week.
Two SDRs plus a manager run $180–250K fully loaded per year. They generate pipeline that evaporates the day they quit. Every dollar of inbound you build on founder authority keeps working after the send.
In six months, your board looks at two charts: CAC trend and category authority. Fewer than half of Series A companies raise a Series B within 24 months (Carta), and the ones that do own a category narrative their competitors can't claim. In the AI era, code depreciates. Distribution is the moat your roadmap can't build.
The fix is a single integrated system: The Compounding GTM Infrastructure.
Three engines, each claiming a stage of your funnel:
Fix the structural leak and your CAC chart trends the right direction. Activation rates justify your unit economics. You own the category narrative before your competitors claim it. Six months from now, you're showing investors a distribution moat they can price into your multiple.
That's what I install.
03 : The Three-Step System That Makes Content & Email Compound
Three operations, one sequence. They compound in this order. Skip a step and the system amplifies whatever you haven't yet validated. This is how the Compounding GTM Infrastructure gets built.
01 : Capture
What can't be automated gets captured first.
Founder voice, category positioning, ICP, and the frameworks that make your thinking yours, encoded into prompts, exemplars, and brand bibles before any system is built. Capture is what keeps everything downstream sounding like you.
02 : Multiply
Captured IP scales across formats, channels, and customer touchpoints.
One source piece becomes twelve platform-native outputs. One founder thought becomes a carousel, a thread, an email lesson, an objection handler, an onboarding sequence. The AI multiplies the captured IP without flattening the voice.
03 : Compound
Multiplied IP compounds into category authority and a moat against CAC.
Brand equity that lowers CAC over time. Authority that turns discovery calls into formalities. Onboarding that signals premium operation before the first invoice. The compounding is the moat, the asset that makes your next round a negotiation, not a scramble.
04 : Three People Who Staked Their Name On It
A ghostwriter who also builds AI systems has to prove three things: that they can move revenue, that the writing captures audiences at scale, and that the engineering is robust. Here's one named client endorsement for each.
Revenue
"Sebastian is a master of his craft and a sage personality, just like me. He is always contributing with insight in eduKIWI's Sales Rocket Mastermind."
Doru Pelivan
Founder
eduKIWI (8-figure EdTech)
Growth
"Sebastian captured my voice exactly and spoke to my students perfectly. My course ratings increased from 4.6 to 4.8, which is a huge difference on Udemy."
Jonas Schmedtmann
Instructor
Udemy
Engineering
"Sebastian is obviously a highly skilled and knowledgeable developer. He delivered one of our biggest projects in just the right amount of time."
Martin Aranovitch
Manager
WPMU Dev
05 : Experience the Activation Engine Before You Install It
The same methodology I install for clients. Sample the engine before you commit.
The Activation Engine
Activation Engine track record (case studies inside). Results vary by ICP, ACV, and traffic source.
Start With The Activation Engine
The Activation Engine is the pilot deployment for a reason. It converts your existing trial signups into activated, paying users without adding headcount or touching your product.
Four weeks. ~1 hour per week of your time. $5,000 one-time. Lifts opt-in conversion from 1–2% to 30–50% and increases trial-to-paid conversion within six weeks of launch. Built specifically for Series A B2B AI SaaS post-signup activation.
If we end the engagement here, your activation rate alone covers the build cost inside the first month.
The pilot guarantee: the 30-day Activation Engine build proves the conversion lift before you commit to the full engagement. If the math doesn't work, we don't proceed, and you keep everything we built.
06 : The Two Tracks, In Detail
The Strategy Layer captures founder voice and builds authority by hand. The Scale Layer multiplies it with AI. Every engagement starts with the Strategy Layer; automation without validated IP just produces faster noise. The Scale Layer is where validated IP compounds into infrastructure you own forever.
Track 1 : Strategy Layer
The content & email layer that captures founder voice and turns it into category dominance. Hand-built, voice-matched from interview transcripts, mapped to your sales funnel.
01
Founder-led LinkedIn and X content, ghostwritten from weekly interviews, that turns your POV into inbound pipeline.
From $3,000/month
See how it works →02
The Capture Layer, the Activation Sequence, and the Compound Loop: one system that converts cold traffic into activated paying users.
$5,000 one-time
See how it works →03
Weekly owned-media essays and lifecycle email newsletters that keep your champions engaged and defend NRR at renewal.
From $3,000/month
See how it works →Track 2 : Scale Layer
The AI systems that scale what the Ghostwriting built. The prompts driving the automation were written by a trained ghostwriter, which is why it captures the best of your voice specifically.
04
An AI system that multiplies one source piece into twelve platform-native outputs, structured to be cited by Google and AI search.
From $10,000
See how it works →05
AI triage that qualifies every inbound signal and books qualified buyers straight onto your calendar.
From $10,000
See how it works →06
Health scoring that detects churn risk and expansion signals, then fires the right play automatically.
From $10,000
See how it works →Not sure where to start?
Start With the Activation Engine →Start With the Engine →07 : What Gets Built, In What Order
Every full engagement combines a Ghostwriting layer with one or more GTM Engineering OS builds. The 50 deliverables below are the complete spec: what gets built, in what order, and what it does for your unit economics.
The Narrative Engine : Category Design & IP Architecture
Deep-dive audit of your current acquisition channels and post-signup flow to identify where ARR is leaking.
60–90 minute deep-dive interviews to capture your technical viewpoints, contrarian takes, and category positioning.
Reverse-engineering your exact target audience to align messaging with the right buyer committee and pricing tier.
Structuring your core thesis into a narrative that positions you as the category leader.
Strategic mapping of your competitors' claims and the exact messaging required to dismantle them in the feed.
Preparing and structuring your manual frameworks and historical content to feed the AI Scale Layer.
The Acquisition Engine : Founder-Led Social & Acquisition
A tailored publishing rhythm designed to maximize executive presence without overloading your calendar.
1 article, 2 comprehensive carousels, and 5 posts per week to turn your technical IP into compounding inbound pipeline.
1 article and 2 threads per week, plus 2 daily Tweets, designed to capture the developer and tech-founder audience where AI narratives break first.
Frictionless repurposing of top-performing IP into Substack's high-signal Notes network.
Coordinated drop sequences and engagement flywheels to maximize subscriber capture during asset launches.
End-of-month strategic review to double-down on the data-backed winners driving actual ARR.
The Retention Engine : Owned-Media & Email Nurture
High-value technical assets (data reports, frameworks) used to capture high-intent enterprise leads.
Dynamic email logic that adapts based on user engagement and in-app product usage signals.
800–1,200 word weekly technical deep-dives hosted on Substack to command VC and enterprise respect.
Highly calibrated, intent-driven weekly emails designed to move intellectual buy-in toward booked discovery calls.
Automated funnels directing highly qualified users to your Slack/Skool communities for setter-closer triage.
Targeted check-in sequences designed to re-engage dormant users and proactively defend Net Retention Rate (NRR).
The Activation Engine : Post-Signup Pipeline (Pilot Build)
Strategic mapping of the critical path a user must take to reach your software's "Aha!" moment.
A named asset, a specific outcome, a time-bound promise, and immediate proof: the four components that lift opt-in from 1–2% to 30–50% on the same traffic.
Activation Sprint, Education Sprint, and Conversion Sprint. Behavior-triggered emails that move a user from "just signed up" to paying in 14 days.
Usage-based ROI summaries and future-state previews that arm your internal champion to sell the upgrade at the budget meeting.
Personal-story fragments delivered to subscribers who choose to skip ahead. Builds deeper trust with warm audiences without slowing the standard drip.
The Day-16 email that names the top conversion blockers (budget timing, internal approval, plain busyness) and bridges each one. Catches the 10–15% who needed one more push.
ESP deployment that wires the EEC into LinkedIn, your signature, and your newsletter, routes Product-Qualified Leads to sales, and structures the content so AI search cites you.
Thought OS: Knowledge Core & Command Center
A centralized, RAG-indexed vault holding every SOP, proposal, brand guideline, voice guide, and past asset, so every OS generates from your IP, not generic priors.
Per-founder voice profiles structured for instant, precise retrieval, so every system writes in your voice.
Surfaces the exact brand context at the start of every generation and feeds each session back into the core, so the system sharpens over time.
Drive and steer your entire content, capture, and lifecycle engine from one cockpit, natively from your Claude window.
Zero-retention API routing, GDPR-compliant infrastructure, and EU data residency, so your proprietary IP never trains public models.
Visibility OS: Distribution & AI-Search Scale
A database of proven openers and POVs tagged by platform and pillar, feeding the OS approved IP.
Converts one source piece into platform-native formats across 12 networks without flattening your voice.
Automated carousels and data visualizations constrained to your exact brand design tokens.
A staging area to review, edit, or regenerate every AI draft before it publishes; approval before anything goes live.
One scheduling rail connecting all your channels without tab-switching.
Continuously prompts ChatGPT, Claude, and Perplexity to measure where your company appears against category competitors.
Surfaces the exact prompts where competitors are recommended over you, then generates the briefs to close the gap.
Ensures your site and content are structured to be read, extracted, and cited by LLM crawlers.
Conversion OS: Inbound Capture & Close
AI triage of every inbound DM, form fill, trial signup, and content reply, sorted by fit and intent.
Scores each inbound against your ICP and routes it to the right next step automatically.
Books qualified inbound straight onto your calendar, no back-and-forth.
Routes qualified conversations into your CRM with autofilled context and keeps records clean.
Generates proposals and collateral from your Thought OS the moment a call is booked.
Turns a closed deal into onboarding docs and kickoff assets automatically.
Lifecycle OS: Retention, Expansion & Advocacy
Continuously scores each account's health from product-usage and engagement signals.
Detects at-risk accounts and fires voice-matched re-engagement before they lapse.
Automated recovery flows that save revenue lost to failed payments.
Spots accounts ready to expand and triggers the right upsell at the right moment.
Turns retained, expanding customers into case studies, testimonials, and referral asks.
Routes advocacy back into the top of the funnel, closing the AARRR loop.
08 : Five Phases. Each One Proves the Math Before the Next Begins.
How I extract your IP, prove the unit economics before scaling anything, then build the infrastructure to multiply it.
Week 1 · Free Mutual Evaluation
I audit your current acquisition channels, content output, and post-signup activation flows. Through a 90-minute technical deep-dive, I extract your category thesis, contrarian takes, and technical POV. You leave with a precise architectural teardown of your GTM motion and a blueprint for your voice, whether we move forward or not.
Month 1 · $5,000 Build
The engagement starts with activation. I build your Capture Layer (the EEC landing page) and your 10-email Activation Sequence, then wire the Compound Loop into your channels. The landing page goes live, automation gets wired, baseline metrics get established. If the math works here and the conversion lift is real, we move to the next phase.
Months 2–7 · $5,000/month or $25,000 upfront for 6 months
Automation amplifies whatever you point it at. Point it at unvalidated positioning and you'll burn your TAM ten times faster. For six months, I manually run your Acquisition Engine and Retention Engine. I analyze metrics weekly, cut the losers, double down on the winners. We mathematically prove your voice, your ICP, and your content pillars. This manual phase is what builds the proprietary data the AI Scale Layer needs to work.
Month 8 · $25,000 for the full stack or $10,000/system
With your IP validated, we transition to scale. I build your Thought OS, indexing all the winning frameworks we just created, and install the GTM Engineering Systems. Visibility OS multiplies your content across platforms. Conversion OS captures and routes your inbound. Lifecycle OS retains and expands your customers. Three standalone systems, unified into one infrastructure your company owns forever.
Month 9+ · $5,000/month or $25,000 upfront for 6 months
You own the machine. I run it for you. Your monthly investment stays the same as the manual phase, but your output scales by an order of magnitude. I act as your human-in-the-loop: reviewing AI-generated content before it publishes, triaging inbound replies, refining prompts, maintaining APIs. You get the output of a full growth team, managed by the single operator who built the system.
09 : Two Founders. Same ARR. Same Market.
Composite drawn from real engagements: details changed, patterns preserved.
The Linear Founder ($2.1M ARR at Series A) ran manual GTM: two SDRs, generic onboarding, sporadic LinkedIn.
The Compounding Founder ($1.9M ARR) spent $5,000 on a six-week Activation Engine install, then shipped product while the system ran.
| 12-Month Snapshot | Linear | Compounding |
|---|---|---|
| Landing page opt-in | 1.7% | 31.4% |
| Trial-to-paid | 3.4% | 13.1% |
| Blended CAC | $4,200 ↑ | $1,680 ↓ |
| CAC payback | 22 months | 9 months |
| SDR headcount | 2 FTEs ($140K/yr) | 0 |
| ARR | $3.1M (+48%) | $5.8M (+205%) |
Month 8: a VP of Engineering at a target account starts researching solutions.
In the Compounding Founder's world, she finds a LinkedIn post, opts into the EEC, trials with intent, hits "aha" in 48 hours, and forwards the champion-enablement ROI summary to her CTO. She converts.
In the Linear Founder's world, she Googles the same problem and his company doesn't appear. His SDR's cold email gets ignored, twice. His "Subscribe to our newsletter" footer captures nothing.
Three scenarios, same outcome: the infrastructure gap meant the Linear Founder never had a chance.
The gap isn't closing. It's widening at an accelerating rate, because that's what compounding does. More SDRs won't close it. More ads won't bridge it. Only the infrastructure does, and by then the head start is nearly impossible to erase.
Composite of real engagements. The full 12-month breakdown, month by month, ships inside your free Activation Engine Blueprint.
10 : The Cost of the Leak vs. The Cost of Fixing It
The Strategy Layer captures and ships your IP by hand.
The Scale Layer multiplies it with AI.
Either bundle works standalone; together, they're the full system that compounds from Series A to Series B and beyond.
Strategy Layer
6-Month GTM Ghostwriting Engagement
$25,000
$30,000 if purchased on a monthly basis
The Acquisition Engine + The Retention Engine run as a GTM Ghostwriting Engagement. Includes The Narrative Engine. Items 01 through 18 of the Deliverable Stack. Six months of compounding founder authority.
Book Your Free Activation Diagnostic →Free Activation Diagnostic →Scale Layer
3 GTM Engineering Systems + Thought OS
$25,000
$30,000 if purchased separately
The Visibility OS + The Conversion OS + The Lifecycle OS, built on your Thought OS. Items 26 through 50 of the Deliverable Stack. All systems voice-matched end-to-end.
Book Your Free Activation Diagnostic →Free Activation Diagnostic →The Activation Engine (19–25) is deployed as a standalone $5,000 prerequisite pilot. The Narrative Engine and the Thought OS are bundled into their respective layers.
For comparison: a VP of Marketing runs $250K+ per year fully loaded, with a six-month ramp. Both layers together cost a fifth of that, and you own the infrastructure either way.
11 : Developer. Ghostwriter. Closer.
I partner with Series A B2B AI SaaS founders who are tired of handing their API docs and brand voice to marketing interns who don't understand the codebase.
Most growth operators live in one of two silos. They either write content without understanding your codebase, or build AI automations that produce copy that sounds like every other SaaS vendor's LLM output. Neither one has ever sat on the other side of a $5,000 enterprise sales call.
I have.
This infrastructure exists because I couldn't find a single provider who combined high-ticket sales psychology with production-grade AI engineering and could ghostwrite so precisely that the founder's own audience couldn't tell the difference.
Developer: Technical Translation at Scale
Out of 200,000+ students enrolled in Jonas Schmedtmann's programming courses, Jonas selected me as his Customer Success Manager. I spent the next eight years writing 40,000+ responses in his voice, explaining JavaScript, React, and full-stack architecture to engineers with decades more experience than I had, graded daily against live student ratings. That's voice-matched ghostwriting at scale, with real-time quality metrics. I still build production infrastructure today: Claude Code, Cursor, Vercel, Supabase. That precision across 40,000 interactions is what makes every piece of content I write for technical founders land differently.
"Sebastian captured my voice exactly and spoke to my students perfectly. My course ratings increased from 4.6 to 4.8, which is a huge difference on Udemy."
Jonas Schmedtmann · Top Instructor, Udemy
Ghostwriter: Voice-Matched AI Systems
I trained under Nicolas Cole (PGA) and Christian Davis, who wrote for Alex Hormozi and has driven $58M in cumulative client revenue. Cole's methodology became the core of the Activation Engine. Davis's email frameworks became the core of the Retention Engine. I re-engineered both from coaching funnels to B2B SaaS, rebuilding them for analytical ICPs, longer sales cycles, and investors watching every CAC data point. Then I built the AI infrastructure layer: agentic workflows on Claude Code, Codex, and Antigravity, deployed via Vercel. Public GitHub. No delegation. Because I'm the ghostwriter building the automation, the prompts driving your system capture the best of your voice, not the average of everyone else's LLM output. I briefly considered becoming a monk. Seriously. But I realized I could do more good helping founders with real technology reach the people who genuinely need it.
"I have ghostwritten for over 100 clients. You will never see their names here. Discretion is the product."
100+ Founders & Operators · Protected under NDA
Closer: High-Ticket B2B Psychology
After years of coding and writing, I joined Romania's largest 8-figure EdTech as a high-ticket closer: 20+ discovery calls a day, $5,000+ deals on video, part of the team that drove $12M+ in attributed revenue. What the sales floor taught me was specific: the closes that felt effortless had already been won before the call started. The prospect arrived already educated, pre-sold, and certain. The content did it. The call was a formality. That dynamic now informs every inbound sequence and activation drip I build, content that converts the prospect before they ever get on a call with you.
"Sebastian is a master of his craft and a sage personality. He is always contributing with insight in eduKIWI's Sales Rocket Mastermind."
Doru Pelivan · Founder, eduKIWI (8-figure EdTech)
The founders I work with describe the outcome the same way every time: an investor signs a term sheet and says, "I really enjoyed the LinkedIn post you wrote last week."
12 : What Series A B2B AI SaaS Founders Ask Me
Because you need to set it up right and give it the proper context, first.
I'll build the AI layer for you, too...when it's ROI positive, not before.
To break through the noise, you first need an IP library of evergreen assets calibrated to your voice.
A voice document. A brand bible. An ICP marketing sheet. A buyer psychology avatar. A content strategy brief. Skillfully engineered prompts for each phase of the writing process. A sample of 50-100 top-performing pieces of content in your voice and niche.
That's the minimum to get writing that captures your voice and speaks to your buyer with AI.
Human ghostwriting is what lets AI scale the best of "you", not the average of "everybody".
Full transparency: you totally could.
But:
A generalist freelancer is a management tax. They can't read your API docs, build AI infrastructure, or operate at the technical depth Series A demands. You end up handholding them to produce generic output your ICP has already seen.
An agency is a coordination tax. Five people, a voice that drifts because it's split across a team, a tech layer that doesn't talk to the content layer...and the senior partner who pitched you delegates the actual work to someone who's never read your product docs.
I'm a single full-stack operator...strategist, copywriter, and engineer, amplified with AI used correctly. You get the output of an agency without the coordination tax, and the technical depth no freelancer can match. Your voice stays pristine because it's never split.
I do not delegate the tech, the copy, or the strategy. You get one operator, one voice, one OS.
You hired writers who don't understand sales, can't ship a landing page, and have never run an email sequence.
Or worse, an agency that delegates to such writers after they sold you.
I closed $5,000+ deals on video for an 8-figure EdTech, built 25 production websites, and ghostwrote for 100+ founders and operators.
I am one operator who owns the full stack. Your voice never gets lost in a handoff between developer, writer, and strategist.
No.
I've ghostwritten for 100+ founders and operators across SaaS, EdTech, and high-ticket coaching.
Not one of them has ever had a reader call out the work as not theirs.
And I never use your name or our work in my marketing materials or demos.
Voice capture is based on my experience doing the same for 100+ other founders like you.
A voice document is the primary deliverable.
It starts with a 60–90 minute technical deep-dive where I extract how you think: the rhythms, analogies, and specific words you reach for.
Every piece of content that ships afterward is graded against that document before publication.
Over time, that document expands into a system with top-performing samples that trains AI to multiply the output by 10x.
No, and that's exactly why you want to hire me.
This is the Ghostwriter's Paradox.
Discretion is the product.
The only way to test the craft is to commission a piece.
The Activation Engine is the lowest-stakes way in.
Then the Activation Engine is where we start.
The Activation Engine works just as well at 500 trial signups a month as it does at 50,000.
For founders with no LinkedIn presence yet, I then build the Acquisition Engine in months 2–7.
The Activation Engine typically lifts opt-in to 34% and trial-to-paid by 3.7× within six weeks.
The Acquisition Engine compounds slowly for 60–90 days, then starts generating inbound that structurally lowers your CAC.
The Retention Engine systematically nurtures subscribers and users, building category authority and defending your NRR.
For a Series A company at $1M–$5M ARR, the Activation Engine usually pays for itself within the first 30 days.
And the pilot is guaranteed: if the Activation Engine math doesn't prove out in 30 days, we stop, and you keep everything that was built.
They inherit a running engine instead of starting from zero.
A $250K VP mis-hire sets you back a year. The hire gets dramatically safer when the inbound engine already exists: an activation sequence that converts, a newsletter your buyers read, a founder LinkedIn with real reach.
Everything I build is documented and owned by your company. The VP scales the infrastructure; they don't have to invent it.
One 60–90 minute kickoff call.
Then either 30–60 minutes per week: a content interview, review pass, or strategy check-in...
...Or, if you're slammed with board meetings, we run async via Loom and voice notes.
If you want to see how it works first, Get Your Free Activation Engine Blueprint.
It's a 5-day email course that's a live deployment of the methodology.
Inside, there's a path to book a call if the math makes sense.
If you're ready to diagnose your leak, Book Your Free Activation Diagnostic.
13 : Five Slots Per Quarter. Two Are Already Reserved.
Most founders start with the free Activation Engine Blueprint so they experience the system before they buy it.
If you've read enough, book a 30-minute screenshare diagnostic of your activation flow directly.
I'll audit your current post-signup flow, LinkedIn presence, capture mechanism, and acquisition channels, and give you a specific architectural recommendation.
Complimentary. No obligation.
Book Your Free Activation Diagnostic →Free Activation Diagnostic →Not ready to book?
Get your free Activation Engine Blueprint and see if the math makes sense for your business.