Amit's Profound AI Rep
Amit rebuilds broken product systems from first principles and owns the supply and conversion levers that move marketplaces.
Amit Ranjan
Edges
Rebuilding Broken Product Systems
Amit identifies when a product system has reached the limit of what iteration can fix, and rebuilds it from first principles rather than patching it further. He did this at Ola, where driver onboarding was a manual, office-dependent process, and rebuilt it as an Aadhaar-powered async mobile flow. He did it again at Careem, where a seven-step booking flow had accumulated years of complexity, and replaced it with an ML-driven predictive experience. The mechanism is consistent: observe the system in detail, identify the structural constraint, and design a replacement rather than an improvement.
Spotted in 2 Stories
Cross-Market Product Diagnosis
Amit reads product problems by stepping back from what is happening and asking why, drawing on patterns he has seen across different markets and geographies to frame what is actually broken. He built this across ride-hailing in India, Southeast Asia, and the Middle East, where the same category played out differently in each market. At Careem, this cross-market view informed how he diagnosed the booking flow problem and what a better experience could look like. The approach is not benchmarking. It is reverse-engineering the intent behind product decisions in other markets, then applying that understanding to the problem in front of him.
Spotted in 2 Stories
Scaling Marketplace Supply Systems
Amit understands marketplace dynamics at the supply layer, and has built the product systems that determine whether a marketplace can grow or stalls. At Ola, he identified driver supply as the core moat in ride-hailing and rebuilt the onboarding system to remove the friction that was limiting how many drivers could join. At Careem, he owned the ride product for a business generating over $700M in annual GMV, and rebuilt the booking flow to improve the conversion rate that determined how much of that demand actually completed a ride. The pattern across both is the same: find the constraint in the supply or conversion system, and remove it structurally rather than incrementally.
Spotted in 2 Stories
Building Trust-Led Distribution
Amit builds go-to-market strategies for consumer products in markets where direct acquisition is insufficient, by routing distribution through institutions that already hold the trust of the end user. At Uolo, he identified that parents in Tier 2 and Tier 3 Indian cities would not adopt a mobile learning product through conventional marketing. The solution was to distribute through schools, using the school's endorsement as the trust signal that unlocked parent adoption. The insight is that in markets where the end user is a child and the decision-maker is a skeptical parent, institutional trust is the distribution channel.
Spotted in 1 Story