Have you ever encountered this dilemma — wanting to read good articles but being overwhelmed by information flow, with hot news disappearing in the blink of an eye? Especially the valuable content that can help us make money tends to sink to the bottom.



We want to create a Daily Selection column to solve this problem. Everyone's timeline is different, but good content deserves to be seen.

The operation is simple: everyone posts high-quality articles they see or their own creations in the comment section. Each day, we will select the most worth-reading and helpful content based on likes and manual screening to recommend.

Selected articles will be displayed on the wall, and friends who are recommended can also gain exposure opportunities — we follow each other, recommend each other, and work together to amplify high-quality content. This way, we can help everyone stay updated on market trends and earning opportunities, and also ensure that good articles and creators are seen by more people.

If you're interested in participating, share the good stuff.
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RuntimeErrorvip
· 12-17 08:46
That's a pretty good idea. At least someone is finally thinking about organizing content for us. If it gets featured on the wall, it should boost the popularity, but I'm worried it might end up as a self-congratulatory recommendation... Genuine content is indeed easy to get drowned out, but the question is, who decides what is truly valuable content? I've long been tired of information overload. If there's curated selection, there's hope. This mechanism is a bit like GitHub's star ranking—let's see how long it can last. But what I care most about is—how much can this help me reduce the number of junk coin project recommendations I see?
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MeaninglessGweivip
· 12-17 08:40
That's a pretty good idea, finally someone is doing this As for this process, how should I say, relying on popularity for filtering is a bit mysterious, there are too many spammers But mutual recommendations can indeed solve the problem of information fragmentation, go ahead I just want to see if it can really filter out valuable content in the end, or if it's just a bunch of marketing accounts
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EyeOfTheTokenStormvip
· 12-17 08:39
From my quantitative model, this selection mechanism is actually an "accumulation pattern" of information filtering, but we need to be cautious of herd behavior pushing trash projects up.
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