Validate Your AI Startup Idea with Anubhav Srivastava

You’ve got an AI startup idea. Maybe it’s a GenAI tool, a vertical-specific LLM product, or an automation platform. But… is it viable? Technically sound? Defensible? In this session, we’ll vet your idea from the lens of someone who’s built AI products, advised early-stage startups, and hired across ML, infra, and product teams.

We’ll dissect:

1. The core problem — is it a nice-to-have or a real painkiller?
2. The tech stack — does it require training from scratch, or can it be built fast with APIs, open weights, or fine-tuning?
3. The moat — how easy is it to replicate? Is your data unique?
4. Feasibility — can you launch an MVP in weeks, not months?
5. Talent & infra needs — who should your first hires be? Do you really need a GPU cluster?

Expect brutal honesty, strategic nudges, and smarter pivots if needed. I’ll also share pitch-tested mental models and AI x Product thinking that moves you from “cool idea” to “fundable prototype.” If you’re building in stealth or haven’t shipped yet, this session could save you weeks of wasted cycles.