老韩的meme日记

The logic behind my account is pretty straightforward: no P trading, no relying on massive CA drops for probability, but instead trying to focus on filtered meme opportunities in the second wave.

Many influencers can drop a dozen or even dozens of CAs in a day, and sure, a few will pop off with high multiples. It looks impressive on the surface, but for the average trader, that method is tough to replicate. You only see the few that do well, but you don’t see the many that go to zero, get harvested, or become projects you can’t buy into or sell out of.

I prefer to wait until after the riskiest early PVP phase, then observe if there’s real support, ongoing trading volume, narrative spread, and the possibility of a second launch.

Not every CA I share will skyrocket, after all, I’m not a wizard and can’t perfectly predict what the whales will do next. But based on my years of on-chain experience analyzing narratives, on-chain performance, market cap positioning, community buzz, and risk structure, I definitely have my own trading logic in play.

My goal isn’t to catch a hundred-bagger every day, but rather to enhance my win rate and focus on relatively stable, repeatable, sustainable trades.

In the meme market, the key isn’t to get rich overnight, but to survive long-term. As long as your principal is intact, there will always be opportunities; once your principal is gone, even the best market conditions won't matter to you.

I’ve always believed in the power of compounding. This market is never short on opportunities, the real challenge is keeping your head straight and avoiding FOMO. Each time, I only take a slice of relatively certain profits; as long as I can consistently protect my principal, execute steadily, and cut losses strictly, compounding will happen quickly.

No FOMO, no going all in, no chasing highs, and no fantasizing that every coin can be a hundred-bagger.
Protect your principal when you’re in profit, cut losses when you’re wrong, and if you miss out, you miss out.

I started this account because I saw many newcomers in the on-chain space wanting to get into meme coin trading, but the information online is overwhelming and mixed. Many newcomers have been harvested one way or another, and after being cut, they still don’t know much. So I’ll share my understanding of certain coins for reference.

Moving forward, I’ll start live streaming to share my trading strategies. We’ll observe the market together and filter good projects.

If you're interested, feel free to follow along; we’re all about staying at the table long-term and achieving steady compounding.

DYOR.

$SV151

CA: SV151D5pjygAKA8aJJcKzm4wFnRX5G92Fye94jQJk7g
Chain: Solana
Current market cap: 2.56m, about $256,000, DYOR

SV151 is the first token project launched by MeteoraAG, a liquidity infrastructure protocol developed by the original team of Jupiter Exchange. This project aims to provide more efficient liquidity solutions for the Solana ecosystem, enhancing trading depth and user experience. The specific mechanisms and economic model of the project have not yet been fully disclosed, and further market observation is needed to assess its actual operation and effectiveness.

I think there are three key points worth noting about this project:
First, it’s backed by the Jupiter Exchange team, bringing a solid technical foundation and industry experience;
Second, it focuses on liquidity infrastructure, which aligns with the core needs of the current DeFi ecosystem;
Third, the initial circulating market cap is moderate, attracting some market attention and potential growth space.

However, the risks are also apparent:
The project mechanisms are not fully transparent, and there’s uncertainty regarding actual application effectiveness and user acceptance;
The competition in the liquidity infrastructure space is fierce, and the ability to establish a differentiated advantage remains to be seen;
Market volatility and ecosystem changes may introduce additional risks.

My take:
SV151, leveraging a seasoned team and a clear focus on liquidity infrastructure, has a solid base of market recognition. The current focus should be on the further disclosure of project mechanisms and the real-world application scenarios. Potential catalysts include tech upgrades and ecosystem partnerships, but we still need to closely monitor market feedback and on-chain data performance. Overall, the project narrative is quite clear, but the specific value realization will take time to validate.

The above content is entirely my personal understanding and analysis (DYOR). If you have other views, feel free to discuss in the comments.

$GSPEED

CA：0xa0dd634a9d3c91829081fc66b90103a3e5c6aeec

Current market cap: 1.23m, around $123.0k, DYOR

GSPEED is a project dedicated to tokenizing real-world collectibles on the blockchain, mainly focusing on physical trading cards and sports memorabilia. By digitizing these physical assets and splitting them into multiple shares, the project aims to lower the barriers to entry for collectors and enhance asset liquidity. The specific operational mechanisms and technical details of the project have not been fully disclosed yet, so further observation is required.

I think there are three key points worth noting about this project:
First, the digitization and tokenization of real assets is an important direction for blockchain applications, with potential market demand;
Second, focusing on niche areas like trading cards and sports memorabilia helps to build a unique community and user base;
Third, the current valuation of approximately $123k is moderate, with some room for growth.

However, the risks are also quite clear:
The project's mechanisms have not been fully transparent, and it's still unclear how the actual asset rights and liquidity will be guaranteed; there is uncertainty about market acceptance of the digitization of physical assets and regulatory policies; additionally, price volatility and liquidity risks cannot be ignored.

My take:
GSPEED's core narrative revolves around the blockchain tokenization of real collectibles, which can easily resonate with specific collectors. The current market focus is mainly on how the project will secure asset rights and ensure liquidity, with potential catalysts for the future including partnerships and an expanded asset pool. Continuous monitoring of the project's mechanisms and changes in user activity will be essential to assess its long-term growth potential.

The above content is entirely my personal understanding and analysis (DYOR). If you have other opinions, feel free to discuss in the comments.

$GRID

CA: 0x6b456e66524aec1792013ef9dfe87e3f84311ba3

Current approx: 278k, around $278k, DYOR

GRID is an open-source macOS native terminal workspace designed specifically for AI coding agents. It achieves parallel collaboration by placing multiple AI agents on a unified infinite 2D canvas, aiming to enhance AI coding efficiency and collaboration experience. The specific mechanisms and application scenarios of the project still require further observation, as public information is not yet complete.

I think there are three key points worth noting about this project:
First, it focuses on collaborative work for AI coding agents, aligning with the current demand for AI development tools;
Second, the design concept of an infinite 2D canvas aids in multitasking and visual management;
Third, being open-source and in a macOS native environment, it may attract a specific group of developers.

However, the risks are also evident:
The project mechanics have not been fully disclosed, and the actual application effectiveness and market acceptance still need to be verified; the current market for AI coding tools is highly competitive, and whether the project can establish a differentiated advantage remains uncertain; the token's circulation and market cap are relatively small, leading to higher liquidity and price volatility risks.

My thoughts:
The narrative of GRID focuses on the collaborative work of AI coding agents, aligning with the current trends in AI tools, making it easily understandable to specific tech communities. The market's main concern is whether the project can achieve efficient multi-agent collaboration and real-world application. Future potential catalysts include tech updates and partner expansions, but the project mechanics and user feedback will need continuous tracking.

The above content is entirely my personal understanding and analysis (DYOR). If you have other opinions, feel free to discuss in the comments.

$Magpie

314k-936k
Up 300%, already bagged double profits, DYOR

$THREE

CA：FeMbDoX7R1Psc4GEcvJdsbNbZA3bfztcyDCatJVJpump
Chain：Solana

Recently, the market has been buzzing about the partnership between the THREE project and IBM. After the announcement, the market response was a bit sluggish, with noticeable volatility kicking in about an hour later. THREE is built on the Solana chain, but the specific problems it aims to solve and its mechanisms are still not fully disclosed, so we’ll need to keep an eye on further developments.

I think there are three key points worth noting about this project:
First, IBM, as a leading global enterprise tech service provider, adds credibility and potential technical support to the project;
Second, THREE's choice of the Solana chain might leverage its high performance and low fees to enhance user experience and scalability;
Third, the partnership announcement itself could act as a market catalyst, pushing the project to gain further recognition from both the industry and investors.

However, the risks are quite apparent:
The details of the partnership and the project's specific use cases are not yet completely clear, and short-term market sentiment might be quite volatile. Moreover, a corporate partnership doesn't guarantee commercial success; the project's ongoing development will need to be assessed based on its actual implementation and user feedback.

My take:
The partnership news for THREE has certainly raised market interest, but the project's narrative still needs to be clarified, especially regarding its mechanisms and use cases. Right now, the market is focusing on the progress of the partnership and its subsequent implementation. Potential catalysts include the depth of the collaboration and actual commercial applications. Overall, the project is still in the phase of information disclosure and market validation, so investors should stay rational and keep an eye on future developments.

The above content is entirely my personal understanding and analysis (dyor). If you have other opinions, feel free to discuss in the comments.

$PRXVT
CA：0x4b5d32a07b8d3ec5d6928caa30196f8dd6a7c5a9

Current market cap: approximately 9.4m, around $9.4 million, DYOR

PRXVT is a project focused on providing privacy infrastructure for AI agents, aiming to build privacy-preserving protocols to support autonomous and secure transactions in the agent economy. The project hopes to enhance the privacy security of AI agents in handling transactions through technical means, pushing forward the development of a decentralized smart economy. The project's mechanisms still require further observation, as relevant details have not been fully disclosed.

I believe there are three key points worth noting about this project:

First, it focuses on the intersection of AI agents and privacy protection, aligning with the future development trend of the smart economy;

Second, it attempts to address the pain points of transaction privacy and security in the agent economy, holding certain technological innovation potential;

Third, with a current market cap of about $9.4 million, it is still in the early stages, presenting growth potential.
However, the risks are also evident:

The project's mechanisms are not transparent, lacking sufficient technical and application detail disclosure;
Market demand for AI agent privacy and its actual implementation and scale still have uncertainties;

Early-stage projects tend to be volatile, and investment should be approached with caution.

My take:
The narrative direction of PRXVT is relatively clear, focusing on a cutting-edge and potentially lucrative niche, but currently, the information remains incomplete, and market acceptance and application validation are still pending. At this stage in its market cap, it is suitable for observation, and chasing highs in the short term carries significant risk. I advise investors to remain rational and conduct thorough research.

The above content is entirely my personal understanding and analysis (dyor). If you have other opinions, feel free to discuss in the comments.

$Magpie
314k-750k

Doubled up

#Meme sector trending hot

$WLD
CA: 0x163f8c2467924be0ae7b5347228cabf260318753

Chain: ETH

Current market cap: 4.9B, DYOR

I think WLD is worth keeping an eye on; the core reasoning is: OpenAI IPO expectations + Sam Altman's personal brand + AI narrative spillover.

If the news about the OpenAI IPO continues to progress, the market will likely seek out assets related to Sam Altman. Although WLD is not OpenAI itself, but rather the World ID project driven by Tools for Humanity, its strong association with Sam Altman makes it a target for trading whenever significant positive news comes out for OpenAI, often being viewed as a “Sam Altman concept” by investors.

I see three key points worth noting about this project:

First, AI remains one of the easiest consensus narratives in the market.

Second, if the OpenAI IPO gets a clear timeline, it could bring about positive sentiment and fund spillover.

Third, WLD carries the Sam Altman narrative tag, making it susceptible to short-term news-driven spikes.

However, the risks are also apparent: WLD itself faces significant unlocking pressure, and the token structure isn't light; one cannot simply focus on the narrative while ignoring selling pressure. Additionally, there is uncertainty in the OpenAI IPO timeline; if the news is delayed or falls short of expectations, sentiment can quickly turn.

My take: WLD is better viewed as a vehicle for tracking AI news flows and the Sam Altman narrative rather than just blindly chasing highs. The real catalyst will be whether the OpenAI IPO sees more definitive official progress. It's suitable for monitoring news developments and fund reactions, but one must be vigilant about unlocking and retracement risks.

The above content is entirely my personal understanding and analysis (DYOR). If you have other views, feel free to discuss in the comments.

#WLD​​​ #AI #OpenAI #SamAltman #链上观察

$WLM
CA：
9MTge3duPkUwN3x9ZPQaLzJnzf9cTZzpj98F4VJANPpr

Chain: Solana

Current price: 525k, DYOR

The core narrative of WLM is: political sentiment + social issues + short-term attention driven by Elon-related interactions.

This project isn't really about tech narratives; it's a classic sentiment-driven meme. It revolves around the highly controversial slogan “White Lives Matter,” with the driving narrative mainly stemming from political polarization, group sentiment, media controversy, and sudden social events. The original text mentions that recently Elon posted an image closely related to this narrative, causing the market to start looking for corresponding targets.

I see three key points worth noting about this project:

First, it is a strongly sentiment-driven target, and the spread could be rapid.

Second, Elon-related interactions can easily bring in short-term traffic and funding interest.

Third, the greater the controversy, the easier it is to create emotional feedback between supporters and opponents.

However, the risks are very clear: these kinds of political memes are extremely reliant on the ongoing fermentation of hot topics. Once Elon stops interacting, media hype decreases, or overall market liquidity continues to weaken, funds could retreat very quickly. Additionally, the high controversy of this narrative means that content dissemination and platform review risks also need to be considered.

In my opinion, WLM is not an ordinary narrative coin; it's a high-controversy, high-sentiment, high-volatility event-driven meme. Whether it can make a second wave depends largely on whether there will be further interactions from Elon or other influential accounts, as well as if related social events continue to develop.

The above content is entirely my personal understanding and analysis (dyor). If you have other opinions, feel free to discuss in the comments.
#WLM #solana #memecoin🚀🚀🚀 #elon #链上观察

$Magpie
CA：
9UuLsJ3jf8ViBNeRcwXD53re5G3ypgfKK3s2EiMMpump

Chain: Solana

Current Price: 314k, DYOR

The core narrative of Magpie is: a permissionless lending protocol based on Solana.
In simple terms, users can use meme coins or tokenized stocks as collateral to quickly borrow SOL within Telegram chats. Each timely repayment boosts your on-chain credit score, potentially unlocking better lending conditions in the future.

I see three key points worth noting about this project:

First, it integrates meme assets into the lending scene, adding a financial utility to coins that were previously just for trading.

Second, its on-chain credit score mechanism is quite interesting; timely repayments are publicly recorded on-chain, creating a verifiable credit accumulation.

Third, MAGPIE has a fee capture design. Providing SOL liquidity can earn you 80% of the loan fees, holding MAGPIE grants you a 10% share of the loan fees, and referring users can earn you a 5% lifetime commission.

However, the risks are also evident: meme collateral is highly volatile, with high liquidation risks, and the sustainability of borrowing demand needs to be observed.

My take: The narrative of Magpie isn't just about memes; it's about memes + lending + on-chain credit. If real borrowing volume can materialize, it could have more upside compared to typical sentiment-driven trades. But at this stage, we need to watch trading volume, protocol usage rates, and changes in whale positions, so don't blindly chase highs.
The above content is entirely my personal understanding and analysis (dyor). If you have other thoughts, feel free to discuss in the comments
#Magpie #solana #defi #meme板块关注热点 #链上观察

The core narrative of CLAW is: Clawpump's official token on Solana, tied to AI Agent / Agentic Finance direction.
Clawpump isn’t just about launching a coin; it’s a platform built around AI autonomous agents, launching agent projects, trading, and ecosystem support on Solana. In just 3 months, it has amassed a trading volume of over $81 million, with an ecosystem size nearing $20 million, daily trading volume consistently exceeding $1 million, and pushing towards $2-3 million.
I think there are three key points worth noting:
First, it’s entering the Solana AI Agent space;
Second, it’s supporting early-stage agentic projects, aiming to fund 5,000 agents this week;
Third, the team has already repurchased about $25,000 worth of CLAW and plans to implement a more transparent programmatic buyback, referencing PUMP and HYPE.
However, the risks are quite apparent: the AI Agent narrative is hot, but sustainability will depend on real trading volumes, quality of ecosystem projects, execution of buybacks, and follow-up announcements.
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My take: The core aspect to watch with CLAW is whether it can become the entry point for AI Agent ecosystems and trading on Solana. If data continues to climb and buybacks are consistently executed, it could have a shot at becoming the Solana version of BNKR. But at this stage, we need to monitor on-chain support and market cap positioning – no blind chasing the highs.
The above content is entirely my personal understanding and analysis (dyor). If you have other thoughts, feel free to discuss in the comments.
#claw #solana #AI #AGENT #MEME

$IDLE
CA：
AjLhrxN2yrCe45Y2KGPMZCkBm6NpN43jWqPkdZq6pump
Chain: Solana
Current Price: 665k, DYOR

The core narrative of IDLE is: AI + DePIN decentralized computing network on Solana.
In simple terms, Idle aims to connect all the idle smartphones, computers, GPUs, regular PCs, APIs, and data resources globally into a distributed computing network. Users can run nodes or play browser games, and their devices can contribute computing power in the background. Others can pay to access these resources for tasks like AI inference, web scraping, DNS queries, etc. Resource providers automatically earn USDC rewards that go directly into their Solana wallets.

The problem it aims to solve is: the demand for computing power from AI is rapidly increasing, but traditional data center construction is costly and slow, while many devices are sitting idle for long periods. Idle doesn’t build new data centers; instead, it organizes existing idle computing power to provide cheaper and more flexible computing resources for AI developers.

Additionally, IDLE offers staking yield boosts: not staking gets you an 85% profit share, staking 10k IDLE boosts it to 87%, 50k to 90%, and 250k to 95%, with no lock-up period.

However, the risks are quite apparent: whether these types of projects can succeed ultimately depends not on the narrative but on real usage volume, node count, revenue stability, developer demand, and protocol income. Without real users consistently utilizing the computing power, the buyback and burn mechanism will struggle to form strong support. The decentralized computing race is intensely competitive, and it will be crucial to see if Alchemy's support can convert into real ecosystem resources.

My take: IDLE's narrative is more complete than typical meme projects; it ties together AI, DePIN, Solana, monetizing idle computing power, and a buyback and burn mechanism. If the network usage truly picks up, its token logic could capture value more easily than a purely sentiment-driven approach. But at this stage, we still need to keep an eye on on-chain support, market cap position, node growth, and real revenue data; don’t blindly chase high prices just because of the “AI computing power” narrative.
The above content is entirely my personal understanding and analysis (dyor). If you have other views, feel free to discuss in the comments section.

#IDLE #Solana #AI #DePIN #MEME #OnChainObservation

$CLAW
CA:
739dnZEG4yaBWFsY8L8ZwrfhGG6dhtCSercW8Umspump

The core narrative of this project is: an AI agent zero gas fee launch platform in the Pump ecosystem.
Simply put, it’s not just a meme; it aims to be a more infrastructure-focused platform for project incubation within the Pump ecosystem. It has already generated relatively stable returns and has incubated several promising projects, such as:
EN2nnxrg8uUi6x2sJkzNPd2eT6rB9rdSoQNNaENA4RZA

From a narrative standpoint, this project seeks to address the issue of allowing AI Agent-related projects to launch and operate at lower costs and higher efficiency in the Pump ecosystem, reducing entry barriers and providing infrastructure support for subsequent project incubation.

Moreover, this project is one of the key initiatives officially recognized and strategically invested in by the Pump ecosystem. With its unique “AI agent zero gas fee launch platform” solution, it won a $250,000 investment in the Pump’s “Build in Public” hackathon, becoming the fifth project officially backed by Pump.

It’s clearly undervalued. Waiting for value discovery and subsequent repricing.

The above content is entirely my personal understanding and analysis (dyor). If you have other views, feel free to discuss in the comments.
#Solana #Pump #AI #Agent #MEME #OnChainObservation

$zBase
CA: 0xde6e0fe372727db236573bf8b9f32126ea141ba3

Chain: Base

Current Market Cap: 478k, DYOR

The core narrative of zBase is to provide a privacy layer for payments made by AI Agents.
Currently, AI agents can autonomously make payments on the Base chain via the x402 protocol, but the issue is that all transactions are public. Who pays, who receives, how much, and when it happens can all be seen on-chain. For future scenarios involving large-scale payments between AI agents, this will expose agent behaviors, funding paths, and strategic data.
zBase aims to tackle this issue: allowing agent funds to enter a private pool where the recipient can receive the funds, but outsiders cannot directly see who initiated the payment. Additionally, idle funds in the pool can generate returns, enhancing capital efficiency.
I believe there are three key points worth noting about this project:

First, it’s tied to the narrative of Base + x402 + AI Agent payments.
If x402 can truly become a significant standard for AI agents to make autonomous payments, then a privacy layer will naturally become a foundational infrastructure need.

Second, the privacy pain point is a real issue.
As the agent economy evolves, the exposure of behaviors due to on-chain transparency becomes increasingly apparent, especially in payment scenarios between commercial agents, service agents, and strategic agents.

Third, the project has some connection to the Base ecosystem.
The founder is a Base ambassador, and the project made it to the finals of Base Batches 003, which will provide it with some ecosystem backing and early attention.
But the risks are also evident: the project is still in the early meme phase, and its success will depend on whether x402 can take off, whether zBase can genuinely integrate into agent payment scenarios, and whether Base will roll out a native privacy solution.
$
My take: However, the risk points are clear: fierce competition, the possibility that x402 might introduce native privacy solutions, and the risk of being overshadowed by new narratives during this period. Moreover, these types of infrastructure projects heavily rely on subsequent iterations and actual integration.

The above content is entirely my personal understanding and analysis (dyor). If you have other opinions, feel free to discuss in the comments.

#zBase #Base #AI #x402 #MEME #OnChainObservation

$SPETTRO

CA：C3fawupKrXdn3X7KPTmmnkwzJQ9qycMNag55ZzQ8pump

Chain：Solana

Current approx：866k, DYOR

Spettro is an open-source, lightweight, terminal-first multi-agent AI coding assistant, primarily aimed at developers. Its core focus isn't just simple code completion, but closer to an “Agentic Coding tool with multi-agent division of labor + local terminal execution + secure approval processes.”
I think there are three key points worth noting about this project:

First, it's tapping into the AI Coding / Agentic Coding lane. AI programming is shifting from merely “assisting in writing code” to “executing tasks via agents.” Developers need more than just a chat window; they need tools that can plan, execute, and recover sessions in real repositories.

Second, Spettro emphasizes being lightweight, open-source, and vendor lock-in free, compatible with OpenAI, Anthropic, and local models. Such terminal tools are better suited for tech developers in the long run.

Third, it has some narrative ties with DevinAI / Cognition, creating a potential market imagination space.

However, the risks are quite evident: the current size is still small, and a strong narrative doesn't guarantee success. Moving forward, we need to keep an eye on actual product usage, development progress, community spread, and on-chain support.
My take: This type of AI + open-source tool narrative is imaginative, but we can't rely solely on stories to chase the highs. It's better to observe for pullback support and secondary opportunities.
All of the above are my personal views; feel free to discuss in the comments, and watch your positions.

#SPETTRO #Solana #AI #MEME #OnChainObservation

$dataclaw CA:Duxeg8HrG89Dq95oyiydrnFd8irZhjApGZu8PYrEpump
The narrative is that Anthropic, the company behind Claude, publicly accused Chinese AI companies like DeepSeek of unauthorized use of approximately 24,000 fake accounts to scrape over 150,000 conversation records from Claude, and using this data to train their own models. This falls into a legal gray area and is widely regarded as unethical scraping behavior. In response, a user named POM took a completely opposite approach: he publicly shared his 155,000 personal conversation records using Claude Opus 4.5—these records were all collected while using the "Claude Code" feature—and uploaded them as an open-source dataset to the Hugging Face website. He also open-sourced a tool called Dataclaw, allowing anyone to easily: export their own Claude chat records, edit or delete sensitive information, upload and share on the Hugging Face platform. His stance is: if companies are secretly collecting data, then we should voluntarily and transparently share high-quality conversations so that the open-source community can use them to train better open-source models.等回调600K左右上点