Revenue Engineered
I started Revenue Engineered because I got tired of reading the same recycled GTM advice dressed up as insight. Most growth content tells you what to think. Very few people show you the systems behind what actually works.
Each issue covers one topic in depth — the architecture of modern outbound, how AI agents are reshaping sales teams, why distribution beats product, what pricing models work for AI products. That kind of thing.
Who this is for
Founders, GTM engineers, and growth leaders at early-stage companies (seed through Series B) who build revenue systems rather than run campaigns. If you think in systems, not tactics, and you're skeptical of anyone promising overnight results, you'll feel at home here.
What you'll get
Deep-dive essays only. No listicles, no sponsored content, no fluff. Each piece is grounded in real implementations, real data, and honest takes on what failed alongside what worked.
I write from the perspective of someone who's spent 12 years building revenue systems across Fortune 500s, fintech scale-ups, and early-stage startups. That range gives me a systems-level read on how GTM is actually shifting — not just how it looks from one company.
The four things I cover
State of GTM & Growth
Landscape analysis of trends, shifts, and what the best teams are doing.
Revenue Systems Architecture
How top teams build compound revenue engines — data layers, workflow activation, deployment.
AI-Native GTM
Agents, context engineering, multi-agent systems, and the end of manual outbound.
The Practitioner's Perspective
Real experiments with real numbers — including the ones that didn't work.
Signal Report
What we are seeing across the GTM landscape. Trends, tactics, and gaps distilled from practitioner data.
Written by
Elom
GTM and Growth engineer with 12 years across Fortune 500s, fintech, and B2B startups. Building at the intersection of AI, data, and revenue.
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