Run GTM from Claude Code with these APIs (full step-by-step breakdown): 1. Signal layer (where intent lives) > PredictLeads catches hiring spikes, funding rounds, and tech adoption signals. > Common Room consolidates community + product + GTM signals from GitHub, Discord, G2, and LinkedIn. > Attention captures every sales call and makes it ML-searchable, flagging competitor mentions and objections automatically. > RB2B de-anonymizes website visitors. 2. Data layer (where contacts get enriched) > @apify gives you thousands of pre-built scrapers for any site. > Wiza turns a LinkedIn profile into 58+ data points. > @prospeo_io clears 98%+ verified across a 288M+ contact database. > FullEnrich cascades through 28+ providers until it hits an 80%+ find rate on phones and emails. > Openmart adds 288M local business records. > Apollo holds the firmographic + technographic backbone. > Vector AI layers AI-native company intelligence on top. 3. Action layer (where outreach happens) > @InstantlyAI for high-volume cold email, warmup, and analytics. > @lemlist for multichannel (email + LinkedIn + calls). > LinkedIn Ads for paid retargeting against the same accounts. 4. Automation layer > n8n is the orchestration engine. Every API gets wired through it. > @claudeai reads the data, decides the next action, calls the right endpoint. 5. System of record > Attio. AI-native CRM with full webhook coverage and real-time deal + contact + pipeline sync. 6. Conversion + revenue > Cal .com books the meeting. > Hyperline runs billing, subscriptions, and usage metering. > Dreamdata closes the attribution loop from first signal to closed deal. What you can actually build with these wired together: > Full-cycle outbound from signal detection to CRM update with zero manual steps. > Self-healing pipelines that retry failures and fall back to alternative providers automatically. > GTM agents that monitor signals, enrich contacts, route to the right channel, and report results around the clock. (bookmark for later)