Congrats on the launch! 🚀 Do you surface why a certain article is included (e.g., highlighting keywords or the source’s relevance)? I think that transparency could build a lot of trust in the recommendations.
@talshyn Our current app doesn't surface the reason an article is recommended unfortunately, but that's a cool idea! Will discuss with our team to see how we can integrate that idea into our app.
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congrats team on the launch, just being curious, how does it differ from perplexity or any online LLM model search data/results
@debarghyaroy Hey Debarghya, thanks! Our app differs from the perplexity / Google mainly in one aspect: our app will continuously fetch latest content on a field for you, and it won't give you any duplicated content. For example, if you do google search or perplexity every day on a fixed topic, you will get similar feeds as our app, but you will get duplicated results each day.
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👍
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I like the concept of an agent gathering the most interesting information of the day
@felixshmtz hey, that’s a good question! right now we’re prioritizing credible sources and showing the original content directly instead of relying too much on AI-generated stuff. of course, that doesn’t solve fact-checking 100% since it’s a tough problem for any platform today. but we’ll definitely keep improving and explore how AI can help in the future.
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@shengkun_ye sounds great. I think your idea is awesome. If oyu maybe want to be connected then lets chat :)
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Do you plan to compensate the actual journalists you're aggregating?
@kristopolous hey you make a good point! right now we’re using RSS since it’s an open protocol. in the future, we want to work directly with creators, help them reach the right audience, and bring more traffic to their content. at that stage, we’ll also share revenue with creators. that’s the direction we’re working toward.
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@shengkun_ye that's what actually needs to be done. I'm sure you've found you can get those content mills fine but legitimate journalism is walling you out. An aggregation of actual journalism people will open their wallet for, but an aggregation of content mills and clickbait sites ai slop isn't really worth anybody's time.
Besides, such relationships and platform will be your moat and your stickiness. Spotify for journalism.
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Huge congrats!!!! This is going to be so helpful-no need to endlessly scrolling or jumping through different platforms. Also curious, does it only send recently news, or can it also help dig up past stories? Also, I guess how it’s different from usual algorithms on social media, where liking posts just show more similar content?
@yiyun_zhao Hey Yiyun, thanks for your validation of our app! Currently our app delivers the news articles from the past 3 days to you that are matching your interests. In the future we might allow users to define how long of a time window they want to receive their news.
Also, I guess how it’s different from usual algorithms on social media, where liking posts just show more similar content?
Great question! Our app is designed to help you focus, and not distract you like social media does.
One difference between our app and social media is that social media's recommendation algorithm is not visible to you. For example, YouTube will recommend to you videos based on the videos you watched before, how long you watched them, and which videos you liked and so on. And their recommendation algorithm is designed to keep you on the platform as long as possible, which makes sense since they can make more ads money the more videos you watch. You won't know why they recommended a specific video to you.
Our recommended feeds are purely based on the natural language texts you input in the beginning on what you want to follow, and not based on your previously read posts, thus what you read can be more focused on a specific topic, and not diffused like YouTube homepage.
DeepTagger
Congrats on the launch! 🚀 Do you surface why a certain article is included (e.g., highlighting keywords or the source’s relevance)? I think that transparency could build a lot of trust in the recommendations.
A01
@talshyn Our current app doesn't surface the reason an article is recommended unfortunately, but that's a cool idea! Will discuss with our team to see how we can integrate that idea into our app.
A01
@debarghyaroy Hey Debarghya, thanks! Our app differs from the perplexity / Google mainly in one aspect: our app will continuously fetch latest content on a field for you, and it won't give you any duplicated content. For example, if you do google search or perplexity every day on a fixed topic, you will get similar feeds as our app, but you will get duplicated results each day.
A01
@sameer_yami thanks! pls try it and let me know if you have any feedback!
Sounds good. But fact checking is really big problem right?
A01
@felixshmtz hey, that’s a good question! right now we’re prioritizing credible sources and showing the original content directly instead of relying too much on AI-generated stuff. of course, that doesn’t solve fact-checking 100% since it’s a tough problem for any platform today. but we’ll definitely keep improving and explore how AI can help in the future.
@shengkun_ye sounds great. I think your idea is awesome. If oyu maybe want to be connected then lets chat :)
Do you plan to compensate the actual journalists you're aggregating?
A01
@kristopolous hey you make a good point! right now we’re using RSS since it’s an open protocol. in the future, we want to work directly with creators, help them reach the right audience, and bring more traffic to their content. at that stage, we’ll also share revenue with creators. that’s the direction we’re working toward.
@shengkun_ye that's what actually needs to be done. I'm sure you've found you can get those content mills fine but legitimate journalism is walling you out. An aggregation of actual journalism people will open their wallet for, but an aggregation of content mills and clickbait sites ai slop isn't really worth anybody's time.
Besides, such relationships and platform will be your moat and your stickiness. Spotify for journalism.
A01
@yiyun_zhao Hey Yiyun, thanks for your validation of our app! Currently our app delivers the news articles from the past 3 days to you that are matching your interests. In the future we might allow users to define how long of a time window they want to receive their news.
Great question! Our app is designed to help you focus, and not distract you like social media does.
One difference between our app and social media is that social media's recommendation algorithm is not visible to you. For example, YouTube will recommend to you videos based on the videos you watched before, how long you watched them, and which videos you liked and so on. And their recommendation algorithm is designed to keep you on the platform as long as possible, which makes sense since they can make more ads money the more videos you watch. You won't know why they recommended a specific video to you.
Our recommended feeds are purely based on the natural language texts you input in the beginning on what you want to follow, and not based on your previously read posts, thus what you read can be more focused on a specific topic, and not diffused like YouTube homepage.