Founder Thesis How Madhav Krishna's Vahan.ai Became India's Largest Blue-Collar Hiring Platform by Using AI Agents
Madhav Krishna's journey from Silicon Valley to solving India's 450-million blue-collar workforce challenge is a masterclass in finding product-market fit. Starting with a voice-based English teacher called Lakshmi in 2016, Madhav pivoted three times before discovering the real painkiller: recruitment, not training. Today, Vahan.ai powers hiring for Zomato, Swiggy, Blinkit, and Uber using a unique agency-powered model combined with GPT-4o voice AI that costs just ₹2 per minute compared to ₹3-4 for human recruiters.
He shared the complete journey in this candid conversation with host Akshay Datt, revealing why his WhatsApp bot with 500K users meant nothing until he embraced local recruitment agencies instead of trying to disintermediate them. From Y Combinator to backing by Khosla Ventures and Temasek, Madhav explains why SaaS fails in India, how outcome-based pricing became their moat, and why India's trust deficit requires human intermediaries even in the age of AI. With 150 employees generating 40,000 monthly placements and a clear path to profitability at just 3X scale, this is essential viewing for anyone building in India's gig economy, exploring vertical AI applications, or trying to understand what actually works in Indian enterprise markets.
Key Highlights:
👉How Madhav Krishna built Vahan.ai from ed-tech pivot to India's largest blue-collar hiring platform with 40,000 monthly placements
👉Why 500K monthly active users meant nothing and how the agency model became the breakthrough to true product-market fit
👉The contrarian insight: why engagement doesn't equal revenue in India and how outcome-based pricing beat SaaS subscriptions
👉Building Voice AI for India: how GPT-4o, proprietary call data, and Hinglish capabilities created a ₹2/minute recruiter cheaper than humans
👉Lessons from scaling through India's funding winter: the path to EBITDA profitability with just 150 employees and capital-efficient growth
👉Why blue-collar workers don't look for jobs online and how Vahan.ai digitized 2,000 local agencies instead of disrupting them
👉The future of gig economy hiring: AI agents, regulatory changes, expansion to manufacturing, and the vision to reach 1 billion people globally
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