Social media feeds have become increasingly cluttered with noise—rage bait and irrelevant content drowning out quality insights. For serious traders and researchers, relying solely on algorithmic recommendation feeds is becoming impractical. The workaround? Stick to curated lists and direct follows to maintain signal clarity. Some are even exploring API-based solutions to automatically aggregate trade theses and market insights from their network, filtering out the static and keeping only actionable intelligence. It's a sign the community needs better tools for separating signal from noise in an information-overloaded environment.
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GweiObserver
· 11h ago
Really, now the feed is full of trash, you have to manually filter it yourself.
The idea of API aggregation is good, saving the trouble of constantly scrolling through junk content.
The signal is too weak, and the noise is getting more and more.
I've long given up on algorithmic recommendations; I still have to build my own list.
Isn't this about self-rescue? The platform can't be relied on.
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probably_nothing_anon
· 14h ago
Watching those junk messages all the time really gets annoying. Algorithm recommendations are a joke; you still have to manually filter them to be reliable.
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degenwhisperer
· 01-14 14:29
Algorithm feeding has long been outdated; it's truly a bit late to realize it only now.
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ApeEscapeArtist
· 01-12 22:04
Algorithm feeds have long been dead; those still using this method are just leek harvesters.
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RugPullSurvivor
· 01-12 21:46
NGL information overload is really intense. Now you have to manually filter to find the valuable content.
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degenonymous
· 01-12 21:38
Really, there's too much information noise. Now browsing Twitter requires manual filtering.
Social media feeds have become increasingly cluttered with noise—rage bait and irrelevant content drowning out quality insights. For serious traders and researchers, relying solely on algorithmic recommendation feeds is becoming impractical. The workaround? Stick to curated lists and direct follows to maintain signal clarity. Some are even exploring API-based solutions to automatically aggregate trade theses and market insights from their network, filtering out the static and keeping only actionable intelligence. It's a sign the community needs better tools for separating signal from noise in an information-overloaded environment.