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Recently, I noticed that Twitter's recommendation algorithm seems to be quietly adjusting. Here are a few interesting changes:
First, the exposure rhythm has changed. Previously, tweets could quickly gain views after posting, but now it takes 6 to 12 hours or even longer to see traffic increase. This is a bit frustrating for creators who rely on real-time popularity.
Second, the algorithm's "targeted feeding" has become more obvious. When you click on a post about a certain topic and refresh your timeline, you'll see a bunch of similar content flooding in. This recommendation logic is quite straightforward.
Most interestingly, there are fewer cryptocurrency-related contents on the timeline. Many people are beginning to feel that the exposure of pure crypto content is declining, while more general topics that appeal to a broader audience are gaining more attention. No wonder everyone is turning to posting vibecodin and other broad Web3 topics, trying to break out of the niche and get more exposure. The overall adaptation process of the content ecosystem looks quite interesting.