How a seed-stage DevTools startup rebuilt its initial motion around PostgreSQL hiring signals, design partners, and developer adoption.
CLIENT
CrystalDBA
CATEGORY
DEVTOOLS · POSTGRESQL · DEVELOPER INFRASTRUCTURE
ENGAGEMENT
Embedded GTM Partner
DATES
Oct 2024 – May 2025
CrystalDBA had a strong product — AI-powered PostgreSQL optimization — but no structured go-to-market system. An initial Apollo email campaign produced no qualified replies and no pipeline, and outreach without a defined ICP was largely guesswork. What conversations did happen ran entirely through the founder’s own network, generating interest but no path to something repeatable.
THE BREAKTHROUGH
POSTGRESQL HIRING ACTIVITY → TECHNICAL PRESSURE → URGENCY → STRONGER BUYER CONVERSATIONS
01 — EXECUTION
From there, the work split into four tracks:
Signal-based targeting
Prioritized companies actively hiring PostgreSQL engineers and DBAs, an observable sign of technical pressure and near-term urgency.
Design-partner motion
Focused early conversations on teams with a live performance problem, creating two design partnerships.
Developer adoption
Launched PostgresMCP, an open-source MCP server for PostgreSQL, driving 2,300+ GitHub stars and expanding the product's visibility with developers.
GTM infrastructure
Established ICPs, messaging, operating cadence, and feedback loops across email, LinkedIn, and CRM tooling (Instantly, Apollo, HubSpot) to move beyond founder-dependent outreach.
Refined targeting and technical messaging opened qualified conversations with engineering teams across DevTools, medical technology, logistics, fintech, and enterprise IT infrastructure, two of which became formal design partners, helping validate use cases and shape the product roadmap. That validation, combined with growing developer traction, became part of the case for CrystalDBA's acquisition by Temporal.
DESIGN PARTNERS
2 design partners
COMMUNITY SIGNAL
2,300+ GitHub stars
BUSINESS OUTCOME
Acquired by Temporal
I help early-stage B2B founders identify where urgency exists, build the initial GTM system, and turn live buyer response into a repeatable direction.