Become the leading platform that helps people discover, understand, and apply useful information for every aspect of life.
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Become the leading platform that helps people discover, understand, and apply useful information for every aspect of life.
What a great app! Reading is one of the most usefull ways to receive information, along with listening. If you are a kind of curious and busy guy, want to know stuff in various aspects of life. This app is for you! Allin provides brief, transparent, trustful information in different topics that you can freely select based on your concern. With a phone connected Wifi or 4G/5G, you can take advantage of your short time, click Allin to absorb useful information it supplying. Yepp, i bet that you will be content with such great moments Allin bringing about.
@kts1 Thank you all for your upvotes and feedbacks for us to continuously level-up allin in the next versions 🤗
Hi Thanh Nguyễn Khắc, congrats on the allin launch! 👋 The mission to help people "detox" from overwhelming/misleading content and apply useful information is incredibly relevant today. The spotlight swipe interface for quick access sounds like a smart way to deliver value efficiently.
As we're building @UNI AI, which includes the UNINET network focused on growth-oriented connections, I'm particularly interested in the intersection of information discovery and social elements.
Question: How does allin plan to balance personalized content recommendations with preventing filter bubbles, ensuring users are still exposed to diverse and potentially challenging perspectives when appropriate?
Looks like a valuable tool for navigating the information age. Wishing you a successful launch! 🧠💡🌐
@theo_l Thanks for your question!
First of all, allin ensure the information on the app is helpful information that even them be filtered or not, the benefit for user still have and risks in terms of toxin contents still not.
Secondly, we are looking forward to recommend topics that user interested and did choosing before using app, and belong to user's demand by their behaviors of using.
To escape the problem of filter bubbles: (1) we have the feature is Discovery for them to find any topic, key words,etc. at anytime; (2) the concepts of content is follow Bloom's Taxonomy to let user have analysis and debate mindset; (3) the recommendations looking forward to extend the topic and contents related to their demand not fixed.
Hope the answer is clear for you. Thanks again, Theo L.
This should streamline our research processes! 👀