Awesummly - Artificial Intelligence Based Content Discovering and Shortening App
As of now, Awesummly is getting 300 to 400 downloads everyday just because of the concept and design of the product. On an average, a user opens Awesummly app 8 times a day, each session lasting for more than 4 minutes.
1. Do you ever feel that you miss out on important news and events happening around the world just because none of your friends shared them with you?
2. Does your profession requires you to stay updated with relevant information but you don’t have time to scan through all the information available on the Internet?
3. Do you wish for a friend who could scan through all the news & social signals available, apply machine learning & Artificial Intelligence (AI) to them, just to find out what is relevant for you?
4. Do you find reading lengthy content on your smartphone painful and time-consuming and wish someone could summarize them for you?
If answer to any of the above questions is a ‘yes’, you are at the right place!
Awesummly is an AI-based relevant content discovering and shortening app. It provides you with very well categorized, relevant short news content within 60-70 words in real-time. More than 300+ news articles are discovered, automatically summarized and published every minute in real-time across 10+ countries in multiple languages. All of this happens without any human intervention. Also, relevant short content of your interests are presented in a unique “Recommended” section of the app, which is based on users' behavior, their interest of topics, publications and preferred language. Personalized news notifications are sent to users to provide them with what really they want to know.
Generally, it can take around 5-10 minutes to read an average-sized news article and this is the main reason why people prefer reading only the title or the first few lines of news articles and leaving out the rest. Awesummly enables people to spend just 15-25 seconds per short news to read and understand it completely. People who are interested to read the original article can do so by using the “Read Full” feature which opens up the article inside an in-app browser.
A hybrid combination of scroll-based and card-based interaction model is an important aspect of how Awesummly presents the content. At the first layer, infinitely scrollable news headlines are presented in a list format for each category. Upon clicking on a particular news, users land at the next layer where they can consume short news in left-right swipable cards without going back to first scroll-based layer.
Many aggregation services claim to have intelligent algorithms directing what articles get recommended to users – Awesummly does it better. Awesummly’s intuitive AI-based engine understands and responds to the user’s preference through a series of human-machine interactions and social signals. Millions of articles are evaluated and the algorithms pick what is trending and relevant to a variety of users. The machine learning based recommendation system not only focusses on what the user clicks on or pauses to read, but also studies the actions of users with similar interests.
Awesummly continues to improve on its solution to deliver to the users their preferred content without the need of a human curation. By applying concepts like auto content summary and cognitive computing in real-time, the company believes that the users will be engaged and delighted with the new experience.
"Our AI-based human-less engine delivers personalized short news which are relevant to a user, with an aim of keeping people informed by presenting content in an easily consumable format, Awesummly knows that the key to its success lies on how the app has been built." says Nitin Mishra, Co-founder and CEO at Awesummly.
As of now, Awesummly is getting 300 to 400 downloads everyday just because of the concept and design of the product. On an average, a user opens Awesummly app 8 times a day, each session lasting for more than 4 minutes. About 85K+ short news are being read and 4.6K+ short news are being shared per week on various social media platforms.
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