Case study

Dylan Teixeira, Gojiberry AI

Gojiberry AI builds AI-native products — so the idea of hiring a human to do prospect research and cold outreach felt like a step backward. Dylan needed a solution that matched his stack. SignalFlow became the automated sales layer: research, drafting, sending, and reply triage — all handled by agents without manual research overhead.

🏢 Gojiberry AI — AI-first product company
👤 Dylan Teixeira, Founder
Autopilot plan
Pilot running

DT
Dylan Teixeira
Founder, Gojiberry AI

ICP + daily cadence

Dylan aligned his ICP with Gojiberry AI's positioning: AI-forward companies (5–100 employees), Series A and below, with a visible product and active outbound or inbound motion. The agents took that ICP and built a target list from scratch — researching companies, identifying the right contact, and drafting a personalized message, all without Dylan in the loop.

What actually happened

Gojiberry AI's outbound pipeline started generating warm prospects from week two — without Dylan spending time on research or writing cold emails manually. The agents handled the repetitive work; Dylan focused on closing. No additional headcount.

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