VP of Product · 14 Years Experience

I solve marketplace growth problems at scale. 35M users, $180M revenue across 4 markets.

Leading product strategy at PropertyGuru, Southeast Asia's largest property marketplace. I write about product strategy, marketplace economics, and shipping AI features that solve real problems—not just demonstrate technology.

Prateek Jain - VP of Product

Background

$50M → $180M
Revenue Scale
35M
Monthly Users
9 Years
at PropertyGuru

I run product at PropertyGuru, Southeast Asia's largest property marketplace. I oversee the entire flywheel across four countries: the search and recommendation systems buyers use to find homes, and the monetization products that generate $180 million from property agents. My team ships features to 35 million monthly users while also building subscription models that keep 80% of paying customers renewing year after year.

The strategic tension is real. I raise prices 12-20% annually while maintaining retention above 80%. I optimize buyer discovery while building premium tools that help agents improve their visibility to those buyers. I balance four markets with different regulatory environments, trust expectations, and competitive dynamics. Most product leaders I meet own either experience or monetization, supply or demand. I'm accountable for the whole system, which changes how you see problems.

Before PropertyGuru, I led driver product at Ola during 2000% hypergrowth. We powered 1 million rides daily. I built driver features that the global ride-sharing industry adopted. Property and ride-sharing are opposite in almost every way: high-stakes vs. low-stakes, long consideration vs. instant decision, trust-dependent vs. convenience-driven. But the underlying marketplace mechanics repeat. I write about those patterns and what actually compounds when you're building at scale. If you're navigating similar tensions, this work might be useful.

What Makes Me Different

Licensed Pilot

Decision frameworks under uncertainty

Healthcare Researcher

Published cost-effectiveness analysis

Failed Entrepreneur

150k users, then learned what willingness-to-pay really means

Engineer + MBA

Fluency across functions

Writing

Featured

Getting the Most Out of Claude Cowork

30 minutes of setup turns Claude Cowork from generic assistant into a context-aware PM tool. Here are the 7 things I configured.

·5 min read

More Writing

No Skateboard Company Has Ever Become a Car Company
Product development's most beloved metaphor misleads more than it teaches. Why the skateboard-to-car model breaks at scale.
6 min read
product-strategyproduct-leadershipproduct-discovery+2
Statistics for Product Managers: A Head of Product's Playbook
A field guide to using statistics with the right level of skepticism — not to become a data scientist, but to ask better questions of your data.
23 min read
product-strategyproduct-leadershipframework
Your Next User Isn't Human: How AI Agents Are Reshaping Products
AI agents are becoming the interface between users and products. When someone's agent chooses for them, what happens to your site—and your ads?
4 min read
ai-productsproduct-strategyproduct-discovery+1
Notes on Marketplace Dynamics and Growth Loops
Why do some marketplaces need $100M while others grow organically? Loop length determines success. Short wins every time.
7 min read
marketplace-dynamicsproduct-strategytwo-sided-markets+1
The Mirror That Writes Back: AI's Knowledge Commons Dilemma
AI models mirror our collective knowledge. But consuming without contributing depletes the commons. The fix is cultural: contribute what you learn.
7 min read
ai-productsproduct-leadershipproduct-strategy+1
Building on OpenAI's Platform: Game Theory Insights
Using game theory to analyze OpenAI's Apps SDK. Why platform cooperation isn't prisoner's dilemma—it's asymmetric power.
7 min read
ai-productsproduct-strategyproduct-leadership+2

Side Projects

These projects keep me close to the craft while my day job focuses on strategy and leadership. I build to test ideas and stay hands-on.

What I Learned

PMs don't want generic advice. They want specific guidance for their exact situation. This taught me how to design AI features that adapt to context instead of serving one-size-fits-all responses.

PMToolkit.ai

AI-powered product management learning platform

AIProduct ManagementNext.jsTypeScript

Project Details

Problem

Product managers lack integrated tools and structured learning resources for modern PM practices.

Solution

Built comprehensive platform with 20+ connected calculators, templates, and AI-powered insights for data-driven product decisions.

Impact

500+ active users, 10,000+ tool interactions, 4.8/5 user rating

What I Learned

The best productivity tools don't add features. They remove steps. I built this to eliminate the repetitive parts of my own workflow. Turns out, other PMs had the same problem.

ClipDrop

macOS CLI tool that saves clipboard content to files

CLImacOSPythonApple Intelligence

Project Details

Problem

Product managers waste hours on repetitive copy-paste-save workflows when capturing research, feedback, and documentation.

Solution

Built macOS CLI tool with smart format detection, audio transcription via Apple Intelligence, and secret scanning to prevent credential leaks. Eliminates the tedious "Copy → Open app → Paste → Navigate → Name → Choose format → Save" workflow.

Impact

Open source, actively maintained with 14 releases

What I Learned

The biggest unlock for PM productivity isn't a better dashboard. It's meeting PMs inside the tools they already use. Building this as a Claude Code plugin instead of a standalone app meant zero adoption friction. It just works where you're already working.

PMCopilot

Claude Code plugin that gives product managers an AI copilot

Claude Code PluginAIMCP ServersTypeScript

Project Details

Problem

Product managers juggle dozens of disconnected tools for research, planning, and execution, losing hours to context-switching instead of making decisions.

Solution

Built a Claude Code plugin that turns the AI coding assistant into a full PM copilot. Ships with 4 custom MCP servers for PRD generation, competitive teardowns on real device simulators, sprint analytics from Jira, and stakeholder updates via Slack. Works in both Claude Code CLI and Claude Desktop with zero-config to full-stack setup tiers.

Impact

Open source, ships with 4 custom MCP servers, integrates with 10+ PM tools