Anirudh Sharma · Senior Product Designer · Monetization & Growth
Subscription funnels, discovery systems and the design language behind them — shipped at Dainik Bhaskar for millions of readers across India, on the phones they actually own.
Four stories about monetization, discovery and systems — each told with the problem, the decisions, the tradeoffs, and what the numbers did.
Readers couldn't discover paid plans, so I brought the plans to the lock screen itself — then owned the whole funnel: plan pages, payment, offers, coupons.
↑ 34% plan discovery · ↑ 18% purchase completionTwo new discovery surfaces, plus games, cricket and market widgets — outperforming every discovery point shipped before them.
9% CTR story rings · 15–25% native widgetFoundations, components, adoption — plus CMS formatting tools that let editors ship beautiful articles without a designer in the room.
10→1 card variants, one component · light+dark · 2 scriptsAndroid 13 made notifications opt-in — an existential change for a notification-driven news app. Rehearsal, not persuasion, won the yes.
70% opt-in at onboarding, post-Android 13Anirudh's story widget outperformed every discovery surface we'd shipped before it — and then became the way we launch everything. He designs systems, not screens.
He fought for the user research trip to Bhopal, and it changed our whole subscription strategy. Rare designer who's equally at home with editors, engineers, and the CEO.
I'm Anirudh — a product designer from Jaipur. For the last four years I've worked on the hardest kind of design problem there is: getting Indian news readers — famously reluctant subscribers — to pay, stay, and come back.
I also build — and not as a hobby claim: I hold a B.Tech in Computer Science from IIT Ropar, spent three years freelancing for clients in India and abroad before Bhaskar, and still ship my own products in React and Python. My handoffs are honest, my specs are buildable, and sometimes the prototype is the product.
The "I ship code" claim, with receipts — products I designed, built and use myself.
AI-assisted equity research for NSE stocks: upload charts, filings and concall transcripts, get a structured, probabilistic one-week verdict. Deliberate architecture — the AI does the reading, a deterministic engine does the scoring.
A local-first daily journal and to-do that feels like a paper diary — one self-contained HTML file, everything stored on-device, nothing sent anywhere. Built for myself; used every day.