Scaling vernacular media products for India2 and India3
Built and scaled apps for India's next billion users 🚀
2021
The challenge
From 2019–21, India’s next wave of internet users was coming online - largely from tier-2 and tier-3 districts, consuming content in their native languages, almost entirely on Android phones.
This wasn’t a translation problem. These users had little patience for clutter, weak networks, low-end devices, and zero loyalty to apps that didn’t deliver value immediately. In vernacular news, demand was massive — but retention was broken. Bounce rates crossed 90%. Distribution was fragmented. Competition from players like DailyHunt, Dainik Bhaskar, TOI and regional apps was intense.
The real question then was simple and uncomfortable:
How do you build products for Bharat that people actually come back to?
The Solution
I hacked and built product and growth across two vernacular media products with one guiding principle:
Design for familiarity, speed, and habit - not novelty.
- Designed the MVP for the Bulletin app, optimised for fast discovery and district-level relevance
- Rolled out a district-first GTM, expanding across 30+ districts instead of chasing vanity scale
- Launched PWA and native apps for Webdunia in 8 Indian languages
- Opened up non-obvious distribution by shipping across Google Play and OEM app stores
- Ran continuous experiments across ASO, onboarding, and UX copy for first-time internet users
- Shipped culturally grounded features like Astrology widgets and video auto-scroll to build daily habits
The Outcome
- 100K+ installs and 75K MAU for Bulletin across 30+ districts
- 50M+ monthly page views across Webdunia web + mobile
- ~30% lift in D7 retention
- Bounce rate reduced from ~90% to ~65%
The Learnings
Building for Bharat wasn’t about simplifying products — it was about respecting context. Cultural relevance, speed, and habits mattered more than elegant flows or global best practices. This work still shapes how i build today: stay close to users, embrace constraints, and optimize for adoption before aesthetics.