Pavel Gajvoronski

Hey PH community

I'm Pavel, solo founder from Georgia. Building two products:

Complyance EU AI Act compliance for SMBs. Free classifier, no signup. Enterprise tools cost $50K+/year, we built it for $99/month.

TraceHawk MCP-native observability for AI agents. See every tool call, cost, and decision. 2 lines of code.

Hey everyone! With the landscape for building voice agents shifting lately, it feels like we re moving away from heavy, manual API orchestration toward something more streamlined.

How you re currently architecting voice agents. Specifically: Have you used the Model Context Protocol (MCP) to build or provide real-time data/context to your voice agents? Does it actually streamline your tool-calling, or is it more trouble than it's worth?

Would love to hear what's working (and what's breaking) in your current workflow. Drop your thoughts below!

There's never been a better time to build. AI tools, smaller teams, faster product cycles.

Last year, @Supabase surveyed over 2,000 startup founders and builders to uncover what's powering modern startups: tech stacks, GTM, and approach to AI. [1]

Many things have changed since then, and they want to know what building at startups looks like in 2026.