Aggregated Content Apps

Awesummly Lets Users Access Summarized Content From Global Publications

Awesummly is an innovative new smartphone app, launched by Indian entrepreneurial trio Nitin Mishra, Deepak Mishra and Aknit Dhawan, that is designed to make it easier than ever for people who have an interest in remaining in the know to enjoy easy access to summarized and aggregated content from a wide variety of publications sourced from around the world.

The app allows userss to enjoy a clean and elegant user interface that offers the opportunity to select language -- English or Hindi -- and even make use of Google Text to voice integration if needed. Users can select from one of four plans, basic, silver, gold and premium which vary in their features.

Ultimately, the Awesummly app helps bring aggregated content to readers in an easily accessible and elegant interface.
Trend Themes
1. Aggregated Content Apps - Awesummly is an app that aggregates and summarizes news content from global publications, creating opportunities for similar content apps in the market.
2. Multilingual Content Apps - Awesummly enables users to select between English and Hindi, creating opportunities for similar apps that can offer content in multiple languages.
3. Customizable Content Plans - Awesummly offers users different content plans with varying features, creating opportunities for similar apps to try different monetization models.
Industry Implications
1. Media and Publishing - Aggregated content apps like Awesummly can benefit the media and publishing industry by providing a new way to distribute their content and reach new audiences.
2. Mobile App Development - As more people turn to mobile devices for news consumption, there is a growing demand for apps like Awesummly, creating opportunities for mobile app developers to create similar apps for different audiences.
3. AI and Machine Learning - Aggregated content apps like Awesummly use AI and machine learning to summarize articles, creating opportunities for innovation in the AI and machine learning industries with the ability to improve on the current summarization technology.

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