GTM Engineering
Step-by-step builds you can copy. Each playbook ships with the tools, the data flow, the integration steps, and the gotchas.
Where to start: if you’re new to GTM engineering, build the RB2B de-anonymization playbook first — it’s the fastest path from zero to a working signal loop (an afternoon, mostly free tiers). Waterfall enrichment with Clay and inbound routing to Slack are the next two load-bearing builds; the cold-outbound, LinkedIn-sequencing, and HubSpot-forecast playbooks assume those foundations exist.
Every playbook lists tools with entry pricing — cross-check the Stack Finder’s July 2026 pricing pass before you buy, and read each tool’s vendor profile for acquisition or repricing notes (several tools in these builds changed hands or price this year).
A practical guide to replacing gut-feel deal forecasting with an AI-powered confidence scoring layer built on Claude's API and HubSpot's engagement data. This playbook…
Apr 30, 2026 PlaybookA step-by-step guide to running LinkedIn outreach at scale with HeyReach — multi-account setup, audience building from Sales Navigator searches, a three-touch connection-to-message sequence…
Apr 30, 2026 PlaybookA day-by-day operational playbook for launching a cold outbound campaign with Smartlead — from domain warmup on day one through hitting full sending volume…
Apr 30, 2026 PlaybookA step-by-step guide to installing RB2B's deanonymization pixel, configuring Slack alerts for ICP-fit visitor identification, enriching identified visitors via Clay or Apollo, routing to…
Apr 30, 2026 PlaybookA step-by-step guide to building a responsive inbound routing system using Default's form infrastructure, ICP scoring on firmographic and intent signals, Slack-based AE pod…
Apr 30, 2026 PlaybookA step-by-step guide to chaining Apollo, ZoomInfo, People Data Labs, web search, and Claude inference in Clay to maximize contact enrichment coverage at minimum…
Apr 30, 2026