Interview with Little Z: CEX Business Insights from an "Listing Expert" | Conversation with KOL
Since October, CEX listing has become a new art. Whether it's ACT, PNUT, or MOODNEG, countless people have become wealthy overnight due to the listing of these new coins. Every wave of players who anticipate the listing of these potential gems holds their breath when CEX makes an announcement, hoping to be the lucky one.
However, apart from early speculation, there is another group of players, similar to little Z, who focus on studying CEX announcements, forming a "listing announcement trading" strategy. Leveraging their understanding of CEX, little Z has not only successfully speculated on some potential listing targets (such as CAT MOODNEG) but has also earned significant profits after CEX announcements (such as PEPE, ACT, OL). Thus, Blockbeats specifically interviewed little Z about the lesser-known practice of announcement trading.
Blockbeats: Since when have you been paying attention to "announcement trading"?
little Z: I entered the market in the previous bull run, around 2021, so I can be considered a seasoned player who has experienced both bull and bear markets. In 2022, I came across an article by the founder of a project on Zhihu (Chinese Q&A website), which was inspired by Vida's article on Zhihu. This inspired me to start researching CEX announcements. In fact, announcements present many opportunities that are often overlooked. For example, during the previous bull market, the listing effects of exchanges like Binance and Coinbase were significant, and many people profited by speculating early. Some individuals also chased after announcements as soon as they were made public and achieved favorable outcomes.
Moreover, during the 2021 bull market, there weren't as many VC coins as there are in this bull run. For instance, some projects listed on certain CEXs would have a market cap in the hundreds of millions or tens of billions upon listing, only to rug pull later on. At that time, many projects started with market caps of just a few million or tens of millions, allowing these "announcement traders" to earn substantial profits by speculating early. Some smart money would explore vulnerabilities in announcements, identify them in advance, and invest. In this current bull run, the listing effects of Upbit and Binance have been positive, but it appears that there isn't as much attention from the Chinese community. I believe that this field is still relatively untapped, so I started researching this type of content later on. However, the tactics in this bull run are quite different from the previous one. The listing effect of Coinbase in this run isn't as strong, and there are few low-cap projects launching on exchanges.
Blockbeats: Could you provide some examples of testing vulnerabilities? And how does smart money discover these vulnerabilities?
little Z: I'll give a few straightforward examples of vulnerabilities. The first vulnerability is engineer oversight. Let's take a certain CEX as an example, which not only has a main webpage but also various announcement pages. For instance, when they want to announce a listing, they will publish it on the announcement webpage. Therefore, there are many interfaces on different websites, and sometimes developers or test engineers may overlook certain things. For example, if they had planned to release a listing announcement at 10 p.m., but the backend leaked the news at 9:50 p.m., and the official announcement was made 10 minutes later, this is a common vulnerability.
Another example is the vulnerability of a test engineer. For example, a CEX's test engineer may like to repeatedly test coins on the same wallet for a particular chain. For instance, if a CEX needs to test a B token on the Solana chain, and the engineer previously tested an A token. So, this wallet may be the one the test engineer has been using all along. Thus, some experts on the chain may capture these test wallets to obtain potential listing information.
Blockbeats: How do you view the listing effect of this round of Coinbase? Why is it much worse compared to the previous round?
Little Z: The performance of Coinbase in this round is indeed not as impressive, and the beneficial effect is not as strong as it used to be. I think this is mainly due to regulatory reasons. However, there are still some coins with a good listing effect. For example, in the RWA sector, ONDO initially listed on Coinbase and then rose by over ten times. Another example is AERO; Aerodrome Finance is a DEX on Coinbase. When it first went live earlier this year, the price was only 0.09. After the listing, the price continuously increased, reaching a high of 2.3 USD, representing a roughly 20-fold increase from the bottom. Of course, this is also attributed to their relatively low market cap after listing. For instance, AERO initially had a market cap of only 10 million USD, making it easier to drive up the price.

In addition to some low market cap opportunities, there are also opportunities in some high market cap listings, such as some meme coins that got listed. For example, PEPE surged by 50% shortly after listing on Coinbase. Of course, there are also other factors at play, such as Upbit and Robinhood. However, meme coins with higher market caps like WIF and FLOKI also experienced over 30% price increases after listing on Coinbase. Overall, while opportunities still exist, the listing situation in this round of Coinbase is relatively average, possibly due to regulatory reasons. Nevertheless, the bull market brought about by Coinbase this time has sparked a wave of innovation on the base layer. If Ethereum still has a chance, the only savior lies in the base layer ecosystem. All the interesting innovations in the Ethereum ecosystem, such as new concepts like AI pump.fun, have flourished on the base layer, while most innovations on other L2 chains have basically stalled.
Blockbeats: What aspects are you currently researching the most in public announcements?
Little Z: During the previous bull market, I was still a newbie DeFi retail investor, and I just randomly researched various topics, from leverage and smart contracts to blockchain games. In fact, I only started researching announcement-related information from the 23rd to the 24th bull market cycle. My friend developed an announcement monitoring program similar to Formula News, which can track more announcement information from CEXs. Apart from the top-tier CEXs, some second-tier CEXs are also being monitored.
After each CEX announcement, I would research it to see if there are any opportunities. I study the content of the announcement and the news effect, and then constantly review. Later, I gradually learned about news trading, or what is now more commonly referred to as sentiment trading. For example, everyone is more familiar with Formula News, and through this "news trading," they made millions of dollars from ACT. Of course, the Formula trading method requires some technology and may not be suitable for everyone to apply this strategy. So, I started to carefully study some manual trading opportunities, which are more friendly to players who do not have much technology.

For example, there was a case of a capitalization dispute with a16z's Eliza before. In fact, its logic is similar to that of Neiro, but the latter launched on the top-tier CEX. Can it be replicated? I think not necessarily. Eliza also had controversies between the "community" and the "conspiracy group," with both sides fiercely debating. At that time, the uppercase ELIZA was much more hyped compared to the lowercase, and many people, relying on Neiro's previous logic, were pushing for the lowercase, leading to many people getting stuck. At the initial stage of the debate, I did not get involved and kept observing. The decisive moment of this event was when I saw in the HTX announcement that HTX was going to list in lowercase, so that's when I started to get involved. Because this indicated that CEX supported lowercase tokens. The result was indeed that the lowercase eventually surpassed the uppercase.
It's not just the few top CEXs; every CEX announcement holds a hidden clue, but it needs to be analyzed in conjunction with specific hotspots, the overall environment, token fundamentals, and other factors, with each situation requiring a specific approach.
Blockbeats: Can you introduce to us a few more examples of "announcement trading"?
Little Z: Of course. For example, there have been many opportunities in the recent announcements on OKX. For instance, the token OL, which I bought at a price of 0.025 and then sold at 0.1, was an opportunity that very few people actually noticed. On November 18, OKX announced the spot trading of Openloot's native token OL. The deposit was open at 2 p.m. on the same day, a fixed-price trading session from 8 p.m. to 9 p.m. on November 19, and the opening at 9 p.m. Most people stop at this point, or maybe don't even bother to read the announcement. Let's look at the fundamentals of Openloot. Openloot is a NFT trading platform under bigtime games, where users can use OL as a payment method when purchasing or leasing NFTs, purchasing time crystals, and other high-end currencies or buying NFTs from major sales. OL initially only had a circulation of two billion out of a total of 50 billion, making its initial circulation rate very low. When the bigtime game token was first listed, it had a very low opening price. However, bigtime initially restricted regions; Chinese nationals were not allowed to trade directly but had to place orders through an API or deposit bigtime into the exchange, causing many people to be unaware of it. It opened at 0.002 and rose several tens of times within a day.
Therefore, after research, I believe OL has the same low opening gene as bigtime. At the auction stage on November 19, OL's auction price was around 0.02 (finally opening at around 0.025). Based on 0.02, OL's market cap at the circulation was only $4 million. In other words, even if you didn’t get cheap OL chips in the auction, but OL also maintained a market cap of about $10 million for a long time after opening, the risk-reward ratio was still considerable.
Another example is the recent Morpho. Although MORPHO's market cap is not as "cheap" as OL's, the opportunity still exists. First, it is still important to research the project's fundamentals. MORPHO is a 21-year-old Defi project, just like OL mentioned earlier, with a total supply of 10 billion tokens but only 1 billion tokens in circulation, with a total market cap of around $100 million. A $100 million market cap may not seem high or low to most people and may not offer a favorable risk-reward ratio. However, on November 21st, between 5:05-6:05 PM, MORPHO started a Dutch auction. The opening price of the Dutch auction surged to $4 at one point, although on-chain MORPHO initially traded at $1. After seeing the Dutch auction price, we had about an hour to withdraw tokens on-chain and deposit them into an exchange. Even with a slow withdrawal speed, there were still two hours after listing to exploit the price difference.

So, the key is to research CEX announcements, study all CEX announcements, and look for opportunities that are not easily noticed by others.
Blockbeats: What strategy do you employ after seeing each exchange announcement?
Little Z: You need to look at different types of exchange announcements. Some announcements provide you with lead time, like the OL listing announcement we mentioned earlier, which was released two days in advance. With these two days, you can thoroughly research the coin's fundamentals and information. For example, what is the circulating supply at listing? What is the cost for whales or early adopters? How much of the circulating supply is locked? How much is actually available for sale? How much is allocated to each exchange? These types of announcements give you ample time to study.
Another type of announcement does not give you time to research; you need to be prepared in advance to ambush the opportunity. For example, the coin ACT listed on BN. When you see this announcement, immediately look at its fundamentals, such as market cap, where it is listed, etc. Then quickly buy based on your strategy. The spot market effect is usually much greater than that of futures. When you see that ACT has a market cap of only a few million, buy immediately because the risk-reward ratio is very favorable. A target already listed with a market cap of a few million can be considered very cost-effective. Also, make sure to review and analyze more, such as why you chose these coins and what are their fundamentals. What strategy should you adopt next time in similar situations? However, for these sudden announcements, you need to act quickly. Formula news has earned a lot through this method, and after the ACT event, I believe everyone has gradually begun to understand their trading methods. Some people even follow their addresses specifically.

In addition to spot listings like ACT, there are also contract listings. Usually, we consider the listing effect of spot trading to be much greater than that of contract trading. For example, before being listed on an exchange, MOODENG had a market cap of only 60 million and experienced a long period of downward price movement and wash trading. Although this coin only had a contract, its market cap was low enough, and the fundamental of the project was very strong at the time, so even if it was listed as a contract, it would have a strong listing effect. Buying MOODNE at its market cap at that time might result in a maximum loss of 50%, but once it is listed on Binance spot trading, it is estimated to have a price increase of 3-5 times, providing a significant risk-reward ratio. This strategy can be profitable, but if we assume that a coin already has a market cap of five to six hundred million, then pre-emptive moves or similar strategies may not be very suitable.
Blockbeats: How do you view projects in other ecosystems? For example, the recently popular Desci concept.
Z: The Desci narrative actually began to emerge in 2022, but it was during a bear market. At that time, the market had little liquidity, so this concept did not gain traction. In the bear market of 2022 to 2023, the founder of Coinbase invested in a project called RSC, and he would often promote his project on social media. For a long time, there was no buzz, but in December of last year, there was a sudden surge in interest.
It then quieted down for a long time until this year when BN announced an investment in Bio, followed by some actions related to Desci by CZ in Bangkok and V God. For the details, I won't go into it here. It was these opportunities that reignited interest in the Desci concept this year. Desci is definitely a strong narrative, but this narrative was launched by the "top stream" and not organically fermented from the masses. Narratives that are strongly pushed like this are hard to judge.

For example, concepts led by Coinbase, such as Depin. The entire Depin track is now very quiet. Basically, you will see everyone talking about "meme" and "AI," but very few people talking about Depin. At that time, Coinbase listed many Depin tokens, such as MOBILE HONEY, and later BN also "followed suit" by listing IO. However, the market may not necessarily buy into this strongly pushed concept, as the results have shown. The same applies to Desci, so I think everyone needs to research Desci thoroughly, be prepared to seize opportunities, and be flexible in response.
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Debunking the AI Doomsday Myth: Why Establishment Inertia and the Software Wasteland Will Save Us
Editor's Note: Citrini7's cyberpunk-themed AI doomsday prophecy has sparked widespread discussion across the internet. However, this article presents a more pragmatic counter perspective. If Citrini envisions a digital tsunami instantly engulfing civilization, this author sees the resilient resistance of the human bureaucratic system, the profoundly flawed existing software ecosystem, and the long-overlooked cornerstone of heavy industry. This is a frontal clash between Silicon Valley fantasy and the iron law of reality, reminding us that the singularity may come, but it will never happen overnight.
The following is the original content:
Renowned market commentator Citrini7 recently published a captivating and widely circulated AI doomsday novel. While he acknowledges that the probability of some scenes occurring is extremely low, as someone who has witnessed multiple economic collapse prophecies, I want to challenge his views and present a more deterministic and optimistic future.
In 2007, people thought that against the backdrop of "peak oil," the United States' geopolitical status had come to an end; in 2008, they believed the dollar system was on the brink of collapse; in 2014, everyone thought AMD and NVIDIA were done for. Then ChatGPT emerged, and people thought Google was toast... Yet every time, existing institutions with deep-rooted inertia have proven to be far more resilient than onlookers imagined.
When Citrini talks about the fear of institutional turnover and rapid workforce displacement, he writes, "Even in fields we think rely on interpersonal relationships, cracks are showing. Take the real estate industry, where buyers have tolerated 5%-6% commissions for decades due to the information asymmetry between brokers and consumers..."
Seeing this, I couldn't help but chuckle. People have been proclaiming the "death of real estate agents" for 20 years now! This hardly requires any superintelligence; with Zillow, Redfin, or Opendoor, it's enough. But this example precisely proves the opposite of Citrini's view: although this workforce has long been deemed obsolete in the eyes of most, due to market inertia and regulatory capture, real estate agents' vitality is more tenacious than anyone's expectations a decade ago.
A few months ago, I just bought a house. The transaction process mandated that we hire a real estate agent, with lofty justifications. My buyer's agent made about $50,000 in this transaction, while his actual work — filling out forms and coordinating between multiple parties — amounted to no more than 10 hours, something I could have easily handled myself. The market will eventually move towards efficiency, providing fair pricing for labor, but this will be a long process.
I deeply understand the ways of inertia and change management: I once founded and sold a company whose core business was driving insurance brokerages from "manual service" to "software-driven." The iron rule I learned is: human societies in the real world are extremely complex, and things always take longer than you imagine — even when you account for this rule. This doesn't mean that the world won't undergo drastic changes, but rather that change will be more gradual, allowing us time to respond and adapt.
Recently, the software sector has seen a downturn as investors worry about the lack of moats in the backend systems of companies like Monday, Salesforce, Asana, making them easily replicable. Citrini and others believe that AI programming heralds the end of SaaS companies: one, products become homogenized, with zero profits, and two, jobs disappear.
But everyone overlooks one thing: the current state of these software products is simply terrible.
I'm qualified to say this because I've spent hundreds of thousands of dollars on Salesforce and Monday. Indeed, AI can enable competitors to replicate these products, but more importantly, AI can enable competitors to build better products. Stock price declines are not surprising: an industry relying on long-term lock-ins, lacking competitiveness, and filled with low-quality legacy incumbents is finally facing competition again.
From a broader perspective, almost all existing software is garbage, which is an undeniable fact. Every tool I've paid for is riddled with bugs; some software is so bad that I can't even pay for it (I've been unable to use Citibank's online transfer for the past three years); most web apps can't even get mobile and desktop responsiveness right; not a single product can fully deliver what you want. Silicon Valley darlings like Stripe and Linear only garner massive followings because they are not as disgustingly unusable as their competitors. If you ask a seasoned engineer, "Show me a truly perfect piece of software," all you'll get is prolonged silence and blank stares.
Here lies a profound truth: even as we approach a "software singularity," the human demand for software labor is nearly infinite. It's well known that the final few percentage points of perfection often require the most work. By this standard, almost every software product has at least a 100x improvement in complexity and features before reaching demand saturation.
I believe that most commentators who claim that the software industry is on the brink of extinction lack an intuitive understanding of software development. The software industry has been around for 50 years, and despite tremendous progress, it is always in a state of "not enough." As a programmer in 2020, my productivity matches that of hundreds of people in 1970, which is incredibly impressive leverage. However, there is still significant room for improvement. People underestimate the "Jevons Paradox": Efficiency improvements often lead to explosive growth in overall demand.
This does not mean that software engineering is an invincible job, but the industry's ability to absorb labor and its inertia far exceed imagination. The saturation process will be very slow, giving us enough time to adapt.
Of course, labor reallocation is inevitable, such as in the driving sector. As Citrini pointed out, many white-collar jobs will experience disruptions. For positions like real estate brokers that have long lost tangible value and rely solely on momentum for income, AI may be the final straw.
But our lifesaver lies in the fact that the United States has almost infinite potential and demand for reindustrialization. You may have heard of "reshoring," but it goes far beyond that. We have essentially lost the ability to manufacture the core building blocks of modern life: batteries, motors, small-scale semiconductors—the entire electricity supply chain is almost entirely dependent on overseas sources. What if there is a military conflict? What's even worse, did you know that China produces 90% of the world's synthetic ammonia? Once the supply is cut off, we can't even produce fertilizer and will face famine.
As long as you look to the physical world, you will find endless job opportunities that will benefit the country, create employment, and build essential infrastructure, all of which can receive bipartisan political support.
We have seen the economic and political winds shifting in this direction—discussions on reshoring, deep tech, and "American vitality." My prediction is that when AI impacts the white-collar sector, the path of least political resistance will be to fund large-scale reindustrialization, absorbing labor through a "giant employment project." Fortunately, the physical world does not have a "singularity"; it is constrained by friction.
We will rebuild bridges and roads. People will find that seeing tangible labor results is more fulfilling than spinning in the digital abstract world. The Salesforce senior product manager who lost a $180,000 salary may find a new job at the "California Seawater Desalination Plant" to end the 25-year drought. These facilities not only need to be built but also pursued with excellence and require long-term maintenance. As long as we are willing, the "Jevons Paradox" also applies to the physical world.
The goal of large-scale industrial engineering is abundance. The United States will once again achieve self-sufficiency, enabling large-scale, low-cost production. Moving beyond material scarcity is crucial: in the long run, if we do indeed lose a significant portion of white-collar jobs to AI, we must be able to maintain a high quality of life for the public. And as AI drives profit margins to zero, consumer goods will become extremely affordable, automatically fulfilling this objective.
My view is that different sectors of the economy will "take off" at different speeds, and the transformation in almost all areas will be slower than Citrini anticipates. To be clear, I am extremely bullish on AI and foresee a day when my own labor will be obsolete. But this will take time, and time gives us the opportunity to devise sound strategies.
At this point, preventing the kind of market collapse Citrini imagines is actually not difficult. The U.S. government's performance during the pandemic has demonstrated its proactive and decisive crisis response. If necessary, massive stimulus policies will quickly intervene. Although I am somewhat displeased by its inefficiency, that is not the focus. The focus is on safeguarding material prosperity in people's lives—a universal well-being that gives legitimacy to a nation and upholds the social contract, rather than stubbornly adhering to past accounting metrics or economic dogma.
If we can maintain sharpness and responsiveness in this slow but sure technological transformation, we will eventually emerge unscathed.
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