News and Media Apps Readers Don't Bounce Off
We build content platforms that filter for relevance, not just volume — with WhatsApp-first sharing built in, because that's where your readers actually distribute your content.
Why Content Apps Lose Readers
The content is rarely the problem. It's whether the right reader sees the right story, fast, in a format they'll actually share.
City-wide news for a taluka-level reader
Readers in smaller towns get state or district headlines instead of what's actually happening near them.
Monetization that wrecks the reading experience
Ads and paywalls bolted on without thinking about how they interrupt a fast, scannable feed.
Sharing buried two taps deep
WhatsApp is the primary distribution channel for most Indian readers, but share buttons are treated as an afterthought.
Feeds that don't scale past a few thousand readers
Content management and push notification systems that work fine in a demo and buckle under real traffic.
What We Build
News & Content Apps
Fast, scannable feeds built for readers checking in with intent, not casually browsing.
Hyperlocal Feed Systems
Location and language-based filtering so readers see what's relevant to their district, not the whole state.
Classifieds & Monetization Modules
Ad placements and classifieds designed around the feed, not interrupting it.
WhatsApp-First Sharing
Share actions placed right on the card, because that's where your readers actually distribute stories.
E-Paper Integrations
Digital replica editions alongside the live feed, for readers who still want the familiar format.
CMS & Editorial Dashboards
Publishing tools your editorial team can actually use without a training session every update.
A real case study — not a hypothetical
Bringing Local Marathi News to Every Taluka
Alphabet News came to us with a running platform and real readers across Maharashtra — but people in Kolhapur were landing on Mumbai headlines, and readers in smaller talukas were getting state-level content they didn't care about. We rebuilt the feed around hyperlocal filtering and put WhatsApp sharing right on the card, because that's how their readers actually distribute stories.
Hyperlocal filtering changed how people used the app — readers stopped bouncing off irrelevant content and started opening it with intent.
Read the Alphabet News case study →How We Build Media Products
Audience Mapping
We understand where your readers are, what language they read in, and how they actually share content.
Feed & Content Architecture
We design the filtering and CMS structure around your editorial workflow, not a generic template.
Build & Load Testing
We build and test against real traffic spikes — breaking news doesn't wait for your infrastructure to catch up.
Launch & Iterate
We deploy, watch engagement data, and refine the feed based on what readers actually open and share.
Why RamScript
We've built and shipped a real hyperlocal news platform, not just services pages that mention media as a vertical. Here's how we handle these projects.
NDA Protected
Every project starts with a signed NDA. Your editorial workflow and reader data stay confidential.
Fixed Pricing
A fixed quote before anything is signed, so there are no billing surprises halfway through the project.
India-Based Team
A team that has built for regional-language, hyperlocal Indian readers before — not a first attempt.
Ongoing Support
Launch is not the finish line. We monitor engagement and refine the feed as real readers use it.
If your readers are getting content that's too broad, too generic, or too hard to share, we've solved exactly that problem before — for Alphabet News, and for the readers who use it every day.
Media & News App Development FAQs
Building a News or Content App? Let's Talk.
Tell us who your readers are and how they actually consume content, and we'll show you how to build a feed they keep opening.
Start Your Project