Rainkey

Founder of VibeKnow | AI-Powered Video Content Automation

[Eva Ai @Eva200699]

太震撼了！一小时顶两年MBA！

黄仁勋2011年斯坦福这场演讲，把创业、创新、公司重构的底层逻辑讲得清清楚楚，太值了

强烈推荐反复看

[Rainkey @ShenRenkui]

红灯停一停，刚好把路想清楚。

[Rainkey @ShenRenkui]

AI 时代，公司不能再只按岗位分工，而要按产品阶段组织团队。

[Boris Cherny @bcherny]

As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes:

1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship
2. Builder: quickly turns a prototype/idea into production-grade product/infra
3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance
4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit
5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales

Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS.

A healthy team needs a mix of these, depending on the product:

- A product that is new and pre-PMF needs people that are strong at 1+2+3
- A product that is growing and has found PMF needs 2+3+4 and some 5
- A product that has strong PMF needs 3+4+5 and some 2

Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?

[Rainkey @ShenRenkui]

技术团队的终局，可能不是写更多代码，而是让自己“消失”。

AI 时代，真正厉害的技术团队，不是把所有需求都接到自己手里，而是搭好AI工具、平台和基建，让最懂业务、最靠近客户的人，也能直接构建产品、完成交付。

未来公司的效率差距，可能不���于有多少程序员，而在于有多少人具备“构建应用的能力”。

[Rainkey @ShenRenkui]

一个小设备的用途变化，其实就是时代变化的缩影：

从“人需要导航”
到“人需要被看见”。

[Rainkey @ShenRenkui]

@PandaTalk8 马上换成两支笔

[Rainkey @ShenRenkui]

GPT-Image 2 is not just about better images. It’s about turning ideas into publishable visual assets.

[Rainkey @ShenRenkui]

@vibeknow_ai @PandaTalk8 👍🏻👍🏻👍🏻

[VibeKnow @vibeknow_ai]

@PandaTalk8 Huge thanks to Mr. Panda for the recommendation! We’ve just integrated Claude Opus 4.7, and the visuals are absolutely stunning. More to come soon.🚀🚀🚀

[Mr Panda @PandaTalk8]

技术呈指数增长，人类直觉却是线性的。库兹韦尔用加速回归定律推演出 2045年奇点——基因、纳米、AI 三场革命交汇的节点。20 年后回望，他的方向判断惊人准确，时间线略有偏差。

这本书真正的价值不在具体预测，而在逼你用指数思维替换线性直觉。

Elon Musk 之前在他的推文中也非常认可这本书的预测的准确性，在AI时代，显得更有价值。

[Rainkey @ShenRenkui]

@PandaTalk8 看起来，非常不错

[Rainkey @ShenRenkui]

@vibeknow_ai Huge congrats on the launch 🚀

This is a big step forward in making knowledge more accessible and actionable. Turning any URL or document into a clear, shareable video in minutes is exactly the kind of workflow people have been waiting for.

[Rainkey @ShenRenkui]

@IndieDevHailey 这条说得太真实了 😂
感谢你这么真实的体验分享 🙏
你说的很对：我们不是做视频工具，而是在做「知识→视频」的生产线。
“模板感”正在重点优化中，欢迎继续暴力测试我们 👀
这也是我们这阶段在重点优化的方向（让表达更“像人”，而不是“像工具”）。