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.
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