20000+ digital products
这一战略转向的具体体现，便是主动加速关店、出清低效物业，华住2025年关店超过300家，亚朵亦关闭超过200家，持续淘汰位置不佳、业绩持续低于阈值（如RevPAR低于区域阈值20%）的门店。
，更多细节参见搜狗输入法2026
I then added a few more personal preferences and suggested tools from my previous failures working with agents in Python: use uv and .venv instead of the base Python installation, use polars instead of pandas for data manipulation, only store secrets/API keys/passwords in .env while ensuring .env is in .gitignore, etc. Most of these constraints don’t tell the agent what to do, but how to do it. In general, adding a rule to my AGENTS.md whenever I encounter a fundamental behavior I don’t like has been very effective. For example, agents love using unnecessary emoji which I hate, so I added a rule:
[&:first-child]:overflow-hidden [&:first-child]:max-h-full"
问题在于，抽佣并不是一项可以无限抬升的变量。它直接作用于供给侧的现金流结构，而供给侧恰恰是整个系统中利润最薄、弹性最小的一环。无论是司机、酒店还是本地生活商户，其净利率长期处于个位数区间，人工、租金与能耗等成本具备明显刚性。当平台费用持续抬升，结果往往不是少赚一点，而是迅速逼近盈亏平衡线。