ZetaChain (ZETA)

This aged quite well 👀

Back then:

$ZETA at $14
$OSCR at $11
$HIMS at $19
$RDDT at $121

Current prices:

$ZETA at $21
$OSCR at $27
$HIMS at $27
$RDDT at $171

Fear creates opportunity

Anuma AI over a month usage review – why I end up using it daily more than I expected
@AnumaAI @ZetaChain @ZetaChain_KR

I didn't set out to use Anuma from the beginning.

Actually, the reason I first encountered Anuma was the ZetaChain ecosystem event.

By participating in the event I naturally signed up, and at first I had a light mindset like "let's try the AI service and earn some credits."

But after using it for about a month, it has become the service I turn on first when analyzing projects or writing articles.

At first I was skeptical

Honestly, there are already many AI services.

There is ChatGPT, Claude, Gemini, and Perplexity.

So initially

"Do I really need another AI?"

I thought that.

But after actually using it, my thoughts changed a bit.

The biggest advantage of Anuma is that multiple AIs can be utilized within a single platform.

In the past, when a question arose

Open ChatGPT
Open Claude
Search
Compare answers

I had to repeat this process over and over.

But with Anuma, you can check answers from multiple perspectives in one place, which was more convenient than expected.

At first it felt like a small difference, but after a month the time‑saving effect was substantial.

It saves more time than I thought

What I felt most strongly was the time saved.

Especially when studying Web3 projects, this was even more true.

Even after reading a whitepaper, there are parts that are hard to understand,

Tokenomics can be complex,

And even when a new project appears, it takes time to grasp the core.

In the past I would hop between many sites to find information,

👉 now I ask Anuma first.

"What's the core of this project?"
"Why does the token need to exist?"
"Tell me the advantages and risk factors."

By asking in this way you get a quickly organized answer.

Of course the final judgment must be made by yourself,

But it definitely reduces the time needed to start studying.

👉 You can keep developing your questions

The part I was most satisfied with while using it was this.

At first I ask simple questions.

"What is this project?"
Reading the answer raises new questions.

"So what's the revenue model?"
"What are the differences from competing projects?"
"Is there a real reason users would increase?"

And I keep digging deeper.

In that process I often came to understand aspects that weren’t visible at first.

I especially liked that I could refer to multiple AI answers and compare the information.

Some AIs give good technical explanations,
some explain it in an easy way,
some even show a critical perspective.

Thanks to that, I felt my thinking broadened rather than just receiving answers.

✍️It also helped with blog writing

Since I run a blog, I used this quite often.

After studying a project,

"Explain it so a beginner can understand"
"Summarize it in Naver blog style"

When I request that, I can quickly produce a draft.

Of course I edit and add my own experience and thoughts rather than using it as‑is,
but it certainly helped cut down the writing time.

It was especially useful when summarizing long material or extracting just the key points.

Thoughts after a month of use

At first I started just because of the ZetaChain ecosystem event. But what I felt after actually using it is,

Anuma is not just an AI that you ask questions and get answers; it’s a tool that reduces the time spent exploring information.

Especially the ability to use multiple AIs on one platform was more convenient than I expected,
and by comparing answers I obtained deeper information.

"An AI platform that reduces the time to find information and raises the depth of the answers you want"

I would say that and define Anuma.

I hate reading 😅 https://t.co/OpbxNxueGf