Your pipeline shouldn't depend on memory.
GTM engineering for EU startups too small for a GTM team: signals, enrichment, and AI-personalized outreach wired into working pipeline.
Attio + Clay + Claude. GDPR-clean by default.
Book a callWhat I build
Signal detection
Hiring spikes, funding rounds, CRM-pain job posts. Your next client announces themselves; the system listens.
Enrichment → personalization
Waterfall enrichment, Claude-drafted outreach that reads like a human wrote it, because one designed it.
Pipeline, not dashboards
Everything lands in your CRM as working pipeline you own. Documented. No lock-in.
Proof
proof/01
Self-hosted enrichment service
Attio webhook → Python → Apollo API → CRM writeback, running as a systemd service on a Raspberry Pi. Event-driven. Zero SaaS middleware.
proof/02
Outbound from zero (Roger)
Domains, mailboxes, deliverability, sequencing, and real-time HubSpot lead routing to reps. Built from nothing to booked meetings.
The offer
Pipeline Engine Build — fixed scope, 3–4 weeks.
Signal detection + enrichment waterfall + AI-personalized sequencing + CRM pipeline. You own everything: workflows documented, no lock-in.
→ Continues as an operate-and-optimize retainer if you want the machine run for you.
Book a call