Cheetah Field Notes

What we learn while building and running GTM engines.

Practical writing for founders and lean teams. We cover the systems behind targeting, outbound, CRM operations, agents, and the context that keeps the work useful after a campaign launches.

Latest notes

Ideas for building better GTM systems.

GTM engineering research

7 Best n8n Alternatives for GTM Teams in 2026

Seven n8n alternatives compared on the two axes that decide GTM cost: which layer of the stack each tool occupies, and what its meter charges for.

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GTM engineering research

Best GTM Engineering Agencies in 2026: 63 Firms Analyzed

We compared 63 firms and 16 serious contenders by 90-day cost, founder burden, portability, evidence and month-three learning, not logos.

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GTM intelligence

Signal Stacking for Outbound Sales: Find Non-Obvious GTM Intelligence

Learn how to combine job posts, product changes, traffic, maps, and other public data into testable GTM inferences, then deepen only the signals that work.

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Outbound operations

Why positive outbound replies still get lost

A practical field note on reply routing, identity, context, ownership, and the operating system required after an outbound prospect says yes.

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Written from the operating seat

No content treadmill.

These notes come from client work, campaign reviews, and the systems we maintain. When we use a synthetic example, we label it. When a number comes from outside research, we link the source.

Cheetah is a managed GTM engineering partner. We orchestrate the tools a team already uses, while its campaign history, operating logic, and context stay with the company.

Explore the Systems Lab research directoryor see how a GTM Brain Sprint scopes one workflow.

How Cheetah works