Dailyhunt has announced the launch of Dailyhunt Lite, a Progressive Web App (PWA) to enable an optimized, fast loading, native app-like experience on mobile web, the company says. The PWA can be pinned to the homescreen of a device and can be used to access complete functions of the full-fledged app.
Read the complete press release below
Dailyhunt, India’s #1, News and local language content application announced the launch of Dailyhunt Lite – a Progressive Web App (PWA), to enable an optimized, fast loading, native app-like experience on mobile web.
This PWA can be pinned to the Android home screen and can therefore be launched much like a native app. It provides an immersive, app-like experience - right on the phone's browser, while maintaining a small memory footprint. It also offers a rich offline experience, allowing for continued engagement even on patchy networks.
The app has been optimized for fast load times even on a 3G network and is able to load a page in less than 2 seconds. It also offers infinite scroll and allows users to swipe through content - in a native app-like experience. Despite its rich content, the app has been optimized to run efficiently on handsets with low memory specifications, via the use of - service workers, virtualized views and efficient cache management techniques.
Virendra Gupta, Founder and CEO, Dailyhunt, talking about the launch said - “As pioneers in the digital content space, we understand different consumer interests and are constantly innovating and using newer technologies to offer a seamless and engaging daily habits destination for regional users. We are delighted to work with Google to launch Dailyhunt Lite that aims to enrich the user experience for all Dailyhunt users, by providing a unified destination for both - mobile & mobile-web users. We are investing heavily in building smart, technology driven, local language content focused consumer products.”
Dailyhunt, works with 650+ licensed content partners, to offer a comprehensive coverage of text and video content in 14 Indian regional languages. For its native app users, it already applies Deep Learning to personalise content to individual user preferences.
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