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David Okonkwo

Partner, AI & Automation Fund

Meridian Ventures

I evaluate AI agents the way a growth-stage investor does — is the moat real, is the market timing right, and does the unit economics hold when you remove the VC subsidy from the pricing?

About

David Okonkwo is a partner at Meridian Ventures, where he leads the AI & Automation practice. He's backed 12 AI-native companies across three fund cycles and sat on the boards of two that reached $100M ARR. Before VC, he spent 8 years in product at Salesforce and HubSpot. His reviews cut through marketing narratives to assess whether the underlying technology and business model can sustain growth.

Credentials

  • 112 AI-native portfolio companies
  • 2Two exits above $100M ARR
  • 3Stanford MBA, CS undergrad

Evaluation Criteria

When reviewing AI agents, David evaluates based on:

Market size and timing
Competitive moat and defensibility
Unit economics and pricing sustainability
Team and execution capability
Growth trajectory and retention
Exit potential

Verdict Scale

David's rating system for AI agent reviews:

1Strong Thesis
2Interesting
3Crowded
4Pass

Content Authored

David writes about:

Funding analysisMarket mapsCompetitive landscape reportsTrend analysis

Articles authored by David Okonkwo will appear here as they are published.

Reviews

David reviews content types:

agent-profilenewsresearchbest

Reviews by David Okonkwo will appear here as they are published.

Writing Voice

Style

Formality: conversational-professional

Sentence length: short

Signature Phrases

  • The real moat here is...
  • Follow the money:
  • What the funding data actually tells us...