Gate Booster 第 4 期:發帖瓜分 1,500 $USDT
🔹 發布 TradFi 黃金福袋原創內容,可得 15 $USDT,名額有限先到先得
🔹 本期支持 X、YouTube 發布原創內容
🔹 無需複雜操作,流程清晰透明
🔹 流程:申請成為 Booster → 領取任務 → 發布原創內容 → 回鏈登記 → 等待審核及發獎
📅 任務截止時間:03月20日16:00(UTC+8)
立即領取任務:https://www.gate.com/booster/10028?pid=allPort&ch=KTag1BmC
更多詳情:https://www.gate.com/announcements/article/50203
The first batch of major enterprises making money from OpenClaw has emerged. KIMI has appeared at the 9th place in Stripe's C-end personal subscription global rankings, surging +123.81%
According to media reports, KIMI's accumulated revenue over the past 20+ days has exceeded their total annual revenue for 2025, all because KIMI launched KIMI Claw. (A few days ago when I was inviting KIMI team members to participate in an event, I was politely declined because the recent computing power consumption is too high. If we continue promoting it, the computing power won't be enough. LOL, truly a happy problem! It's enough to show how huge the demand for KIMI is...)
Let me explain why KIMI is making so much money.
First, it benefits from OpenClaw 🦞 becoming popular worldwide, but for domestic users in China who can't even popularize scientific internet access, the barrier is quite high. You need to try command line, Terminal, API Key, token, etc., which directly shuts out most people from the door.
KIMI had a clever idea and directly packaged a minimalist product for you, directly hitting user needs——simple, lazy, one-click installation, achieving zero barriers, zero code, one-click deployment requirements, and can reach into many people's phones.
Plus KIMI's own model is strong enough. K2.5's benchmark performance scores across various dimensions are impressive, second only to Claude Opus 4.6 and GPT-5.2, ranking 1st among open-source models. This way, it captured a large portion of the domestic user market.
What Chinese entrepreneurs understand best is internet effects, and what product managers care most about is how to reduce one operation step for users, so retention rates can improve. Such product thinking is also the foundation for inspiring more user-friendly and entry-level autonomous agents. Rather than saying it's difficult to make money in the AI era, it's better to start from first principles and see what users truly need.