GTM 35 | AI Clones Are Infrastructure, Not Magic with Vignesh Ravichandran (CEO, MyClone)

GTM 35 features Vignesh Ravichandran, founder of MyClone, an AI platform helping knowledge professionals turn years of expertise into scalable, always-on systems. Before MyClone, Vignesh built large-scale database infrastructure at Cloudflare, handling traffic for more than 20% of the internet, and co-founded Omnigris, an open-source Postgres startup.

In this episode, Vignesh breaks down why AI clones are not a UI feature or novelty, but an infrastructure and data problem. We explore how expertise becomes a product, why most RAG systems fail in real-world GTM workflows, and what it actually takes to scale identity, judgment, and knowledge without scaling time or headcount.

The conversation spans AI-native GTM strategy, monetization models, agent-led workflows, and what “AI-native” will actually mean for operators heading into 2026.

If you are a founder, GTM leader, consultant, or operator building leverage inside an AI-native revenue system, this conversation is essential.

We discuss
0:00 Intro
1:08 From infrastructure to building AI-native leverage
4:01 Why AI clones are an infrastructure and data problem, not a UI feature
6:57 What it really means to productize expertise
8:42 Using AI clones for nurture, qualification, and conversion
10:34 Freemium vs premium and usage-based monetization for AI products
14:12 Why most RAG systems fail in real GTM workflows
17:41 GTM strategy for creating a new AI-native category
22:52 Where demand actually comes from today (LinkedIn, Reddit, outbound)
28:41 What being AI-native actually means in 2026 for operators

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Follow Vignesh Ravichandran // MyClone
LinkedIn:   / vignesh-ravichandran  
MyClone: https://myclone.ai

Follow Rick Koleta // RiteGTM
LinkedIn:   / rickkoleta  
RiteGTM: https://ritegtm.com/