Masterdai

I built AI wrapper -10i $ MRR

[Masterdai @MasterXDai]

https://t.co/59tu7xQv43

[Masterdai @MasterXDai]

对的，所以我养成了下意识点赞收藏的习惯

[NyanChuu🔮🇯🇵🍭 @tanpukunokami]

Number one thing I hate about X
That half second where an interesting post flashes by, you go “wait, what was that,” and the timeline refreshes it into oblivion

[Masterdai @MasterXDai]

@chunxiangai 其实ab 都不重要，只看几个指标就是
首屏加载速度、tdk 的关键词覆盖、移动端是否友好还有就是 h123 正文里面是否契合产品本身介绍和关键词

[Siddhartha Saxena @siddsax]

Anthropic onboarding day: Michael Scott introducing Karpathy like he just signed Wemby in free agency.

[Bohu @BohuTANG]

在研发 Evot 过程中发现，要让 Anthropic（Opus 系列）模型发挥到极致，官方 Claude Code 的做法基本是最优解，很难绕过。
对 Claude Code prompt 做了深度分析和量化验证，发现他们在训练阶段就把 Agent Harness 的行为模式烧进去了：
1. 长内容输出时模型会自发产生 <!-- PLACEHOLDER_ --> 占位符做分块写入——system prompt 里压根没要求这么做
2. Tool name 在模型内部有偏好绑定，只有官方名字效果最佳，换个名字行为差异巨大
... ...

这不是 prompt engineering 的范畴了——模型训���时就把 scaffold 的行为模式编进了权重。第三方想达到同样效果，要么对齐官方，要么自己训。。

猜测 DeepSeek 搞 Agent Harness（@victor207755822），也得走同样的路——把 harness 行为烧进模型训练，模型和 scaffold 深度耦合。Cursor Composer 2.5 大概率也是这么干的，1/10 成本追平 Opus。
Agent Harness 下一个竞争维度：agent 行为从 prompt 层下沉到模型层。prompt 和权重里外配合，效果远超纯靠 prompt 硬拗。

[Rainier @mtrainier2020]

很多人对第二条没有很深刻的认知。
成本，资本对公司发展的约束。

事实上很多人在一个快速增长的创业公司挣到的钱远远比自己创业挣到的钱多。

为什么呢？

资本金规模的硬约束。

创业/自己做生意，要看你的资本金的来源。如果你一开始就是从亲友，从自由资金，从一些小资本拿到钱，假设你凑了100万美元，你占股60%，你项目很好，执行很得力，你每年增值的速度是YoY是50%，那么你做5年的你的规模差不多能做到760万的规模。

规模被这个初始的100万给约束住了

突破这约束的一个办法就是想办法融更多的资，��这个资本金规模做大。

假设在在这五年内资本融到了1个亿，创始团队的股权降到了10%。
然后整个公司的规模达到了3个亿。。
那么即便虽然创始团队的股权被稀释了，但是他们股权远远超过了原来的价值。

所以很多创业公司的老板一个非常非常重要的任务，就是给各路资本画饼，融资。

但是能够持续融资是极少数公司，是资本的宠儿。大部分创业者是做不到的。做不到能持续融资，做不到能保持yoy 50%的增速。

所以你会看到大量的创业者公司做了十几年、规模一直原地踏步。

这次AI 浪潮，硅谷大概创造了几万个净资产超过2000万美元的超级打工人。

他们并不一定比其他行业的人更努力，更聪明，而是他们在的公司，是资本的宠儿，他们的老板能够融到天量的资本，他们的公司能维持高增长。

This is how capitalism works.

所以很多优秀的创业者很早就想好了公司的发展途径和融资的计划。

没有对错，都是个人的选择。

[Masterdai @MasterXDai]

@turingou @tutulifestyle 我也有这个需求，让我想起之前在外国旅游的时候会接到自己不熟悉语言的餐厅、派送员的电话。有时候就很着急

[Masterdai @MasterXDai]

最近 seedance 2.0 api 和 anthropic muthos 等对普通用户的限制。
让我有一种强烈的感觉：过去两三年的 AI，实际上是一段田园牧歌式的开放期，而我们正在亲眼看着它走向封闭。注册一个账号就能用上世界最强的模型，这种体验在未来回看，可能真的是一段不可复现的黄金时期。

[Masterdai @MasterXDai]

@timtimtim_eth @Creader_io 你用过酒馆吗？
里面挺多架构可够借鉴的

[Masterdai @MasterXDai]

@willlhhh 是啊 谁能想到从3.7之后代码能力一下子就质变了。

[Masterdai @MasterXDai]

@0xcherry 还有离职员工

[Kai Lentit (e/xcel) @KaiLentit]

AI CEO vs. Engineer (2026).

[Masterdai @MasterXDai]

@mitch0z To much gatekeeping.

[Masterdai @MasterXDai]

@breezpoet @hq4ai 大概率是suno 生成的

[Masterdai @MasterXDai]

@Jiaxi_Cui switch
开一盘游戏
回合战斗类的那种比较合适可以随时暂停

[Masterdai @MasterXDai]

@livinoffwater yes

[Masterdai @MasterXDai]

@willlhhh 这就没了🤣

[Startup Archive @StartupArchive_]

Tobi Lutke explains what the VCs who passed on Shopify got wrong

Tobi recounts pitching Shopify to VCs on Sand Hill Road a few years after founding Shopify.

Investors passed because they thought the addressable market was too small. At the time, there were about 40,000-50,000 online stores, and even if Shopify captured 50% of the market, that still wouldn’t be a venture-scale business.

When Tobi ran into the VC partner a few years ago, the partner asked Tobi what he missed (Shopify is valued at almost $100 billion today).

Tobi explained:

“You were actually correct, but what you didn’t realize was that Shopify was the solution to the very problem you identified. The reason there was only 40,000 online stores was because it was hard, expensive, and everyone who tried ran into all these brick walls of complexity, which Shopify, one after another, smoothed over and made simple to do.”

Tobi believes this is a common mistake:

“What a lot of free-market thinkers don’t understand is that between the demand and eventual supply lies friction. And I actually think that friction is probably the most potent force for shaping the planet that people just generally do not acknowledge… That was my theory when I turned my snowboard store into Shopify: there was a lot more people like me except there was too much friction which we needed to solve. And Shopify has proven out that every time we make the process simpler, there’s more consumption. At this point, we have a million merchants on Shopify, which is a mind-blowing number. So friction is a major component, and it’s something that software is uniquely good at reducing.”

Video source: @danmartell (2019)

[Masterdai @MasterXDai]

@willlhhh 我也看到这个文章了，等30天之后👀

[Misch Strotz @mitch0z]

We've withdrawn the model.

Just use Nano Banana Pro with "Improve Prompt" button for similar results and the same price.

Happy to give free credits to anyone who wants to try.

[Masterdai @MasterXDai]

@mitch0z @PhotaLabs obvious its nano banana wrapper