Ventures

AgencyMetrica is the AI automation studio David co-founded with Gary after two decades running agencies themselves. The pitch: scale agency capacity with AI, without hiring. The target: 6+ person marketing agencies losing 12.5 hours a week per marketer to reporting, 28% of workweeks to email, 34 hours to a single proposal.

The build is a stack of AI systems that plug into the tools agencies already use: Google Ads, Meta, GA4, HubSpot, Asana, Monday, Slack. Analytics and reporting cut by 70%. Same-day proposal generation. Unified comms. Web development delivered 30 to 50% faster. A human presses send; the AI does the drafting, analysis, and orchestration.

MarketMetrica, David's earlier AI marketing analytics work, lives inside AgencyMetrica as the analytics engine, tailored to each agency's stack and client base rather than shipped as a SaaS. The positioning is deliberate: not AI as a feature on yet another agency tool, but what an agency actually looks like once AI is in the operating model.

GroupFound is a social networking platform built specifically for entrepreneurs, with AI matchmaking, real-time messaging, and community features. As CTO, David leads architecture, hiring, and execution hands-on.

The story isn't the product alone. It's how it's being built. GroupFound is a fully AI-first development project, with zero traditional, line-by-line coding. The team consists of highly experienced senior engineers (6+ and 10+ years, with strong architectural backgrounds) whose job is to facilitate AI-driven development rather than hand-write code.

Development kicked off in March, and the project is on track for deployment within three months of kickoff. That's work that would have taken a team of six engineers six to seven months under traditional methods. It's a working proof point that AI-first development isn't a hack. It's a repeatable model when you pair the right tooling with senior people who know how to drive it.

AI to the World is an AI automation consultancy focused on helping businesses adopt AI in practical, measurable ways. Rather than selling a vision, the team implements solutions, identifying the repetitive, tedious tasks that drain a business and replacing them with intelligent automation.

The philosophy is grounded: AI should make work better for the people doing it. Every engagement starts with understanding what the business actually needs, then building and deploying solutions that deliver measurable results.