EPISODE · Apr 28, 2026 · 15 MIN
Deep Dive: Roman and Pierre of Gojiberry AI | The All-in-One Intelligence Layer for Outbound GTM
from Growth Stories · host Alex Hirsu
Deep dive with Roman and Pierre, co-founders of Gojiberry AI — a recent YC cohort company building autonomous agents for go-to-market. Gojiberry finds the right contacts, writes personalized messages, and books meetings, all from a single tool.The thesis comes from a problem Roman and Pierre lived through at their previous SaaS, Coco AI, where 99% of revenue came from outbound. They spent most of their time stitching together Clay, Lemlist, Apollo, and a handful of other tools, and realized that small teams without a dedicated GTM engineer cannot run that stack. Gojiberry is the one tool that replaces the patchwork. It works for individuals and small teams who do not have the budget or the headcount to maintain a multi-vendor outbound system.The differentiation is what they call a waterfall. Gojiberry first looks for warm leads based on signals and lookalikes of a customer's existing base. If no warm match is available, it falls back to leads matching the ICP. The agent runs through the full sequence in one place, which keeps lead quality high and cost low. Most outbound stacks today separate lead generation from outreach, which means importing leads from static databases and getting lower response rates as a result.Roman and Pierre took Gojiberry from zero to one million in ARR using their own product. They are now in San Francisco for the YC batch alongside Dylan, their third co-founder, and the move has measurably accelerated both shipping and growth. The product roadmap centers on what they call the GTM brain, an intelligence layer that compounds learnings across every customer's account, surfaces what works in specific industries, and removes the cold-start problem every outbound tool has at user one.Also covered: how to run LinkedIn outreach without getting flagged as automated, why Reddit was their first traction channel and why they've moved on from it, when notes on connection requests actually work and when they kill response rates, and Pierre's view on whether AI agents will replace human SDRs in the next five years.The goal between now and YC demo day is to double ARR. They plan to raise after that.—Agentic Stories is the weekday briefing on the AI agent economy — governance, security, and deployment. New episodes Monday, Wednesday, Friday.agenticstories.ai
What this episode covers
Deep dive with Roman and Pierre, co-founders of Gojiberry AI — a recent YC cohort company building autonomous agents for go-to-market. Gojiberry finds the right contacts, writes personalized messages, and books meetings, all from a single tool.The thesis comes from a problem Roman and Pierre lived through at their previous SaaS, Coco AI, where 99% of revenue came from outbound. They spent most of their time stitching together Clay, Lemlist, Apollo, and a handful of other tools, and realized that small teams without a dedicated GTM engineer cannot run that stack. Gojiberry is the one tool that replaces the patchwork. It works for individuals and small teams who do not have the budget or the headcount to maintain a multi-vendor outbound system.The differentiation is what they call a waterfall. Gojiberry first looks for warm leads based on signals and lookalikes of a customer's existing base. If no warm match is available, it falls back to leads matching the ICP. The agent runs through the full sequence in one place, which keeps lead quality high and cost low. Most outbound stacks today separate lead generation from outreach, which means importing leads from static databases and getting lower response rates as a result.Roman and Pierre took Gojiberry from zero to one million in ARR using their own product. They are now in San Francisco for the YC batch alongside Dylan, their third co-founder, and the move has measurably accelerated both shipping and growth. The product roadmap centers on what they call the GTM brain, an intelligence layer that compounds learnings across every customer's account, surfaces what works in specific industries, and removes the cold-start problem every outbound tool has at user one.Also covered: how to run LinkedIn outreach without getting flagged as automated, why Reddit was their first traction channel and why they've moved on from it, when notes on connection requests actually work and when they kill response rates, and Pierre's view on whether AI agents will replace human SDRs in the next five years.The goal between now and YC demo day is to double ARR. They plan to raise after that.—Agentic Stories is the weekday briefing on the AI agent economy — governance, security, and deployment. New episodes Monday, Wednesday, Friday.agenticstories.ai
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Deep Dive: Roman and Pierre of Gojiberry AI | The All-in-One Intelligence Layer for Outbound GTM
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