Zhengzhou

“Flying dragon in the sky, it is beneficial to see the great man.”

from the I Ching (Book of Changes), in the the fifth line (nine) of the Qian hexagram: Flying dragon in the sky, it is beneficial to see the great man.

This is one of the most famous sentences in the I Ching, and it is also the highest and most auspicious line among the six lines of the Qian hexagram.

Flying dragon in the sky

The dragon has soared into the sky.

It metaphorically represents a person's talents, virtues, and career development reaching a mature and prosperous stage.

No longer in hiding (“hidden dragon, do not act”), but able to fully realize ambitions.

It is beneficial to see the great man

“li”: beneficial, suitable.

“jian”: to meet, to receive help, to cooperate.

“great person”: a person of virtue, wisdom, and capable of taking on great responsibilities, not limited to those of high status.

Therefore:

When a person's abilities and timing have matured, it is suitable to cooperate with wise and capable individuals to jointly achieve great undertakings.

When I'm not too busy, I quietly read technical books. In the process, I feel my comprehension increase. Areas I hadn't noticed or wasn't solid on get supplemented.

Step-by-step tutorials make it easy to focus and immerse yourself. Writing tutorials also requires a strong ability to break down and organize knowledge.

function Echo() {
  const params = useParams();
  const [searchParams] = useSearchParams();
  return <h1>{params.msg || searchParams.get("msg")}</h1>;
}

const param = "From Param";
const query = new URLSearchParams({ msg: "From Query" });

export default function App() {
  return (
    <section>
      <p>
      </p>
      <Link to={'echo/${param}'}>Echo param</Link>
       <p>
       </p>
    </section>
    <Link to={'echo?${query.toString()}'}>Echo query</Link>
  );
}

The update frequency of Codex App is too extreme, almost daily updates.

Codex++, is an external enhancement launcher and management tool for the Codex App. It does not modify the original installation files of the Codex App. Instead, it launches Codex through an external launcher and injects enhancement scripts using the Chromium DevTools Protocol.

Its core functionality is: it can manage and use different Token API subscription sources. For users in regions who cannot use the official GPT subscription but still want to use the Codex agent, this tool is fantastic!

I am already using it and haven't encountered any issues.

The way you use AI tools determines the results you get. Some people gradually lose basic skills and knowledge, becoming more dependent on tools; others use them to deepen knowledge and develop new skills.

Reasonix - DeepSeek's native terminal coding agent.

Append-only running loop, aligned with DeepSeek's byte-stable prefix-cache — long session cache hit 90%+, input token cost reduced to about 1/5. Single Go binary, terminal-first.

Rybbit - an open-source and privacy-focused Google Analytics alternative, with a more intuitive and easy-to-use experience, fully 10x better.

Let Codex help me self-host this service on my RN VPS, and also integrate it with this current website. This kind of workload was unimaginable before Codex. It's not that it's difficult or complex, it's that installing software and configuring the environment is too troublesome. Now it's automatically done in a few minutes. I just help out by adding one domain A record.

I've decided to first focus on making software for myself, using any suitable technology and platform. Take care of my own needs first. If others like it after it's released, then I'll think about making money.

"Benefit yourself first, then benefit others." This mindset feels more natural.

Using AI to learn new skills is extremely efficient.

Laying the foundation, explaining concepts, background principles, practicing solutions, organizing knowledge. This is my learning process.

Of course, the entire process requires your own guidance and organization, because everyone's thoughts and ways of thinking are different, so the overall effect and feeling will also differ.

V4-Pro permanent price reduction of 75% (Synchronized with DeepSeek official adjustment on May 31, 2026)

V4-Pro three-tier prices are all reduced to 1/4 of original: input $1.74/M → $0.435/M, output $3.48/M → $0.87/M, cache hit $0.0145/M → $0.003625/M.

Using OpenClacky AI Key automatically applies the new prices, combined with a 99% cache hit rate, actual costs for long conversations and Agent workflows can be further reduced by approximately 50%.

The essence of MEV is: information advantage + ordering privilege + invisible tax on users.

Who:

See transactions earlier

Execute transactions earlier

Better control the order

Who:

Can make money.

Last night I looked into the basics of web3 and had some questions, so I asked GPT. GPT answered very well, and I plan to organize and record these questions and answers. I never had the habit of organizing knowledge before, always thinking that understanding at the moment was enough, but memory is unreliable, and it's not convenient to review or look back again. The overall effect is just like a chat log, with some unnecessary information mixed in, and I have no interest or value in looking at it again.

At first I considered Google Docs, Feishu, Tencent, but finally chose Notion.

I didn't use Google Docs, firstly due to network access issues, and secondly because formatting is not convenient enough. As for Feishu and Tencent, the problem is that as soon as I opened their official websites, I was turned off — they are all enterprise-focused promotions, which is intimidating. The common problem of these three is that they have too many features and complex interfaces. Although they are powerful, they are also very off-putting. What I want is: UI and interaction should be simple, clean, easy to get started, and convenient for me to organize text and knowledge. Don't increase my learning and usage cost. I just want to use it intuitively without thinking, and quickly get my work done.

Lei Jun is probably the Chinese entrepreneur who embodies Japanese-style entrepreneurial spirit the most. He is a strong learner, willing to show vulnerability, and unafraid of adopting a humble stance.

The essence of Lei-style marketing is not in the numbers or fine print, but in the courage to be sincere and the bravery to face imperfection and temporary setbacks.

I am not a Xiaomi fan, never have been, yet I would not mock Xiaomi—a company that dares to acknowledge its gaps and strives to catch up.

On March 16 this year, I picked up my WeChat public account again to publish articles and images. The last time I posted was on March 28, 2020, and it had been abandoned for six years.

If I had spent those six years cultivating a public account, that persistent writing would itself have been a harvest.

Six years ago, I had no awareness or understanding of the compounding effect of time. Over these six years, my family has gained a lot—we've traveled many places and seen many sights. But I haven't felt much personal growth or accumulation. Many times, I just thought about things in my mind, took in a lot of input, but never produced any output.

Learning, practicing, and producing output form a good closed-loop learning path. I believe this loop should not rely on self-discipline or persistence, but rather on recognizing it as a scientific method worth adopting.

Now, I write down the thoughts in my mind. In the past, I used to think it was enough to just know something—writing it out seemed too troublesome, and what if I didn't write well? In short, various worries in my heart caused delays, and then nothing happened.

Recently, as I've been writing more, my habit has started to change: just write directly without overthinking, because words are so easy to correct and revise.

When I'm typing words, I quickly enter a calm state of mind, as if I'm having a conversation with myself, and time seems to disappear. Writing does take up some of my free time allowance, but isn't output itself also a form of freedom (freedom of expression)?

“Validate fast, fail fast” — I finally feel like I truly understand this mindset now, which is essentially the MVP approach.

My old process used to be: confirm the idea, choose the tech stack, build the architecture, design the UI, and dive deep into details. Most of my time and energy were consumed by the technical side upfront, rather than validating the idea itself or testing feasibility. In the end, many of those projects still failed. It wasn’t a complete waste, but overall it wasn’t an efficient way to build products.

Recently, I’ve started shifting my mindset and practicing the MVP approach instead. I focus first on validating the core functionality. If the product works and the direction makes sense, then I can refine and polish it later. This saves a huge amount of time and energy, while also giving me feedback as quickly as possible.

Codex mobile is here — and it’s blowing up!

I’d recommend a code agent product I’ve been using recently: OpenClacky. I topped up $20 and have been using the DeepSeek V4 Flash model. So far, it’s been surprisingly cheap — I haven’t even used up $1 a day.

One issue I’ve run into though: when the agent is actively working in the terminal, if I try to enter a new task at the same time, the whole thing just freezes and stops responding for quite a while. So now I usually wait for the current task to finish before sending the next instruction.

Huashu Design , Say one sentence to your agent — Claude Code, Cursor, Codex, OpenClaw, Hermes all work.

3 to 30 minutes — you ship a product launch animation, a clickable App prototype, an editable PPT deck, a print-grade infographic.

Not "decent for AI" quality — it looks like a real design team made it. Give the skill your brand assets (logo, colors, UI screenshots) and it reads your brand's voice; give it nothing and the built-in 20 design vocabularies still keep you out of AI slop territory.

teco-lab.com, this website for learning spoken English through English vlogs is really well done. A lifetime membership only costs RMB 39.9. Since I watch English vlogs quite often, I had actually thought about building a similar English learning website myself. But now it seems I don’t need to anymore.

heroui.com - Beautiful, fast and modern React UI library. (Previously NextUI)

fumadocs.dev is a beautiful and flexible documentation framework for any React.js project.

A few days ago, I tried translating a PDF ebook using Ollama with a local Qwen 3.5:4b model. Translation speed wasn't an issue, but the final layout turned out poorly. My workflow was to first convert the PDF to Markdown, translate it, and then generate a new PDF. However, the bilingual vertical layout (Chinese-English) in the resulting PDF was hard to read and very uncomfortable.

I looked into this problem and realized PDF text layout is indeed difficult to handle. Different books have different content and require different presentation styles. Optimizing and adjusting the layout for each book costs too much effort.

Finally, I found that HTML is the most suitable choice—styling is easy and results in a clean layout, and my goal is simply to translate and read comfortably. With this approach, I'll continue to improve it later and use it to help me read English books.

Today I saw Vercel's Lab open-source portless, which allows accessing local projects without using port numbers and eliminates the need to worry about port conflicts.

- "dev": "next dev" # http://localhost:3000

+ "dev": "portless myapp next dev" # https://myapp.localhost

In the early stages of MVP, the priority should be on making rational decisions in business logic and focusing on running through core processes, with monolithic applications and local development being prioritized. UI, interaction, permissions, deployment, etc., should be addressed in subsequent phases.

It's crucial to avoid wasting energy on non-core aspects, reduce cognitive load, and quickly validate feasibility.

Matt Pocock Skills is truly impressive!

AI is no longer just working in isolation, crafting a plan and then spewing out a solution without engaging in the process. Instead, it starts by raising questions based on my product ideas, addressing each point one by one. If there are doubts, it provides feedback, then proceeds to analyze and confirm.

The rhythm is perfectly balanced—it draws me into the product design process. This sense of collaboration is fantastic. It doesn’t just hand me a complete solution outright; it avoids wasting tokens by working in isolation.

Everyone can learn to cook, yet restaurants and fast-food chains haven't disappeared.
Ingredients and recipes are abundant, even with step-by-step tutorial videos available, but many people still choose to order takeout.
This indicates that demands are diverse, and most things cannot remain scarce indefinitely.
What's truly scarce is exceptional taste, quality, dining experience, and service.

If the Apple EarPods could be redesigned with a magnetic connector, it would be perfect.

I ordered a Hazzys short-sleeve shirt and a pair of trousers on Douyin. After receiving them and trying them on, they fit very well.

I’ve bought this brand before—aside from the relatively high price, I’ve been quite satisfied with it overall.

You don’t need many clothes; one or two sets of formal wear are enough.

Threads has a great product feel—clean and minimal. It looks simple, yet feels very comfortable to use. It’s exactly the kind of style I like.

Its interaction design is also highly worth studying and learning from.

https://www.threads.com/

“MacBook Pro 16-inch in Space Gray, powered by the M2 Max chip (12-core CPU + 38-core GPU), with 96GB RAM and 8TB storage. US version, minor cosmetic wear, battery health at 100% with only 6 cycles, AppleCare+ valid until July 2026. Price: ¥21,588.”

Given the configuration and the price, it feels like a very solid deal.

My current primary machine is a 2023 Mac mini with 32GB RAM and 1TB storage. It was sufficient at first, but with the increasing use of AI-assisted development tools, memory has gradually become a bottleneck.

I also have a MacBook Air (24GB + 1TB), mainly for mobile work, though in reality it doesn’t get used that often.

So the situation now is: I have multiple machines, but none that truly serve as a high-performance, all-in-one solution. Taking everything into account, I decided to upgrade to a machine with significantly higher memory that can also handle mobile scenarios effectively.

I reached out to Yige (a fairly reliable second-hand electronics seller), and once they confirmed availability, I placed the order right away. After the new machine arrives, I plan to sell my current two devices back to her to offset part of the cost.

Most AI coding tools now support multi-agent workflows, meaning you can build different features in parallel. But in practice—even on small personal projects—I haven’t found this approach particularly helpful. The codebase grows rapidly, and beyond potential conflicts, the biggest downside is that it just feels exhausting.

With a more traditional way of coding, moving from thinking to implementation, it’s much easier to get into a flow state. Ironically, actually writing code is what helps me relax.

For a simple feature, the real challenge is making it intuitive and well-designed. That’s where meaningful collaboration with AI should happen. Your thinking process needs to work alongside AI to produce code that’s actually useful and sustainable over time.

Back in August 2025, after getting the Feiniu × Beelink co-branded NAS, I gradually picked up two ZhiTai 7100 4TB SSDs. They felt pretty expensive at the time, but I went for them anyway for the silent setup.

The experience has been great so far—no issues at all.

What I didn’t expect is how much prices have gone up now. They’ve gotten so expensive that I can’t afford them anymore. The AI boom hasn’t just soaked up capital—it’s also driven up the cost of memory and hardware across the board.

It’s kind of crazy. This level of hype and price inflation feels similar to what we saw during the real estate boom.