69 Interest Score
16 Discussions
0.23 Engagement
Jul 2021 Launched

Lapis News is a platform designed to spread positivity and make you smile every time you open the app! It operates with a mixture of sentiment analysis AI, APIs, and curation to deliver good news, cute animal videos, and jokes. Check out the app on iPhone!!

What the Community Said

I really like the idea of this product. It's so important to be grateful for the positive things rather than get bogged down by all of the negativity and outrage that feeds clicks. There's some fantastic room for growth in this product as well - the opportunity to expand in other verticals that all contribute to improve mental health and positivity. Really love seeing technology make a positive difference to people, especially in a year where everyone's mental health has suffered!

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Hey Product Hunt!! 👋 My name is Saurav, and I'm a high school developer and entrepreneur. Lapis News is the first app I've developed, and I love where it's at now. I've always enjoyed making people smile, and eventually decided to start a project on this focus. Over the past two years, the media grabbed the unfortunate events that played out as opportunities to get more clicks. Because bad news sells, a negativity bias has plagued the biggest newspapers in the world. When I noticed the effects t

— [REDACTED]

This product has such an intuitive user experience. I love the innovate idea and no-hassle new feed. Thank you so much!

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This product has a great message behind it and has a very nice design

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Innovative Idea and amazing reason to provide positivity in the world!

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Frequently Asked Questions

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

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