Sourav Yadav — Co-Founder

TL;DR: I build stuff that scales. The last thing I shipped processes 1 billion page views a month. Before that, an ML model that increased revenue by 10% by reading minds (okay, predicting behavior). Right now? An LLM system that knows more about YC startups than most VCs. I'm an IIT Roorkee engineer who accidentally became a PM and never looked back. The long version: I've been building products for over 5 years, focused on the space where AI meets real business problems. My background is unusual for a PM, I studied Production and Industrial Engineering at IIT Roorkee, which gave me a systems-thinking mindset that shapes how I approach product development today. My first real product role was at Decision Point, where I built Beagle, a conversational AI platform that processed queries for 1,000+ daily users with 95% accuracy. Working with NLP models and predictive algorithms taught me how to translate research into production systems. That foundation became critical when I joined ConsCent as a Senior Product Manager in 2022. At ConsCent, I scaled a subscription monetization platform from MVP to processing 1 billion monthly page views for publishers like India Today, ABP, Jagran, Gulf News, and Nation Media Group across three countries. I led the company's product vision from SPM to Product Lead, shipping ML-powered paywall systems that increased subscription revenue by 10% and registrations by 50% by predicting reader behavior in real time. I built marketplace integrations, payment infrastructure for 8 gateways, and operational dashboards tracking north-star metrics like MRR, churn, and conversion rates. The platform now generates $500K in ARR and serves 20+ enterprise partners. Beyond my full-time work, I build side projects that solve problems I'm curious about. In 2025, I launched YC Insights, an LLM-driven intelligence system that processes 2,500+ YC companies and 5,200+ founder profiles using Langchain for entity extraction. The platform uses AI-driven recommendations and collaborative filtering to help users discover patterns in startup data—95% LinkedIn match accuracy, real-time pipelines, and behavioral analytics that predict user intent. It's the kind of project that keeps me sharp on emerging AI capabilities and product-market fit. What drives me: Building products at the intersection of AI and business impact. I get energized working with data scientists fine-tuning algorithms, engineers scaling systems, and researchers turning papers into production code.

Stackforce AI infers this person is a SaaS Product Manager with a strong focus on AI-driven solutions.

Location: New Delhi, Delhi, India

Experience: 4 yrs 8 mos