MEDIA APP | PROJECT | MIXED REALITY
News apps serve the same static headlines across scattered platforms, whether you have 30 seconds or 30 minutes.
I redesigned news as an adaptive AI experience that learns what you care about and adapts to where you are: commute, lunch break, or couch.
Aarav, 27
Digital Marketing Associate
Delhi
“I don’t get a lot of time to read news. I mostly scan through Inshorts and keep up with social media news bits.”
ABOUT:
Busy on-the-go individual
tech savvy
apps he uses
Tech comfort level: High
Early adopter of new technology (owns an AR-capable smartphone and uses wearables)
News Consumption Habits:
Skims at work, listens on the commute, reads deeper in the evening, shares in group chats.
Users don't know what they want to read until they see it.
Ads make every page exhausting.
News hasn't evolved. Long articles don't fit short attention spans.
Existing news apps optimised for either breadth (InShorts, Google News) or depth (DailyHunt, The Hindu). None optimised for context - switching modes between commute, work break, and bedtime. That gap became the core of Snapp.
HMW
❌ The "Living Room Newsroom" Fixation
It worked. For that moment. But only for that moment.
⭐ First idea
news unfolding across your coffee table in 3D, with timelines, avatars, and satellite maps. It worked. For that moment. But only for that moment.
❌ Fumbles
People don't always want to be immersed.
What if the news knew what I needed - before I did?
Can we let users deep-dive into a story - without locking them into a rigid mode?
Could the app surface just enough - a timeline, key points, a visual clue - to the story in under a minute?
What if AI could gather personalised headlines?
Three modes, shaped by context.
Freemium: AR stories and deep dives behind a subscription · Opt-in, privacy-first personalisation · Light, non-intrusive sponsored content
