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Recently, I have been studying the rules of platform recommendation algorithms and traffic distribution mechanisms, conducting some small tests, and unexpectedly gaining a lot of exposure.
Yesterday's experiment showed preliminary results, and today I continued to verify this approach, with daily traffic approaching 20 million. Comparing the data, this methodology indeed has some traceable patterns.
After two days of continuous testing, the traffic growth is not a one-time explosion but a reproducible pattern. This indicates that there is a systematic logic behind it, rather than luck.
I want to organize and share this set of experiences and methods with everyone. Interested friends can try applying it to see if it fits their content strategy.