Pandanwl
Pandanwl
1. Who am I: Everyone calls me Teacher Panda, a crypto community KOL with 80,000+ followers, and a market veteran. 2. Trading experience: 5 years of practical experience in contracts, through bulls and bears. It has in-depth control over market trends, project fundamentals and investment strategies, and has a trading system polished with real money. 3. Copy trading suggestion: Buy with 1/30 of all your funds for each copy trade, ensuring maximum error tolerance, and use the rest as margin! Don't want to get rich overnight, just want to be able to sleep every day and make money
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When Web3 truly ventures into space and the physical realm, where will the wealth code of the future lie?
Tomorrow night at 19:00 (UTC+8), I will be invited to participate in the SEALCOIN official theme Space, deeply analyzing the hardcore narrative logic of "Space DePIN."
Friends who have been following me know that I am very optimistic about the era of the machine economy that is truly supported by physical entities.
This time we will deeply explore the technological moat behind SEALCOIN: chip-level security and post-quantum cryptography, as well as the strong backing provided by its parent company WISeKey (NASDAQ: WKEY).
Thanks to Grace @0xXiaoXiong for the cross-border hosting, and I look forward to exchanging ideas with Teacher Niu Mo Wang @Btcniumowang, Teacher ZC @ZhanweiC, and others on the same stage. I will focus on the macro trends of DePIN and AI to bring everyone the latest market insights.
⏰ Time: April 28 (Tuesday) 19:00 (UTC+8)
🔗 Click to reserve Space now:
(It is recommended to set an alarm in advance, as this session is highly valuable.)
#SEALCOIN #DePIN #CryptoMarket #AI

#BTC #ETH
In the coin: PIPPIN
Direction: Long
Entry range: 0.0275-0.0283
Stop loss: 0.025
At this position, the candlestick pattern shows that large players are clearly accumulating, and there is over ten million in short liquidity above!
Additionally, this token clearly once had a great reputation!
At the same time, data from the website shows a surge in holdings, indicating that large funds are buying in the short term!
Going long at this time has a very good risk-reward ratio!
Even if it loses, it won't be much; I've already bought a long position!




Pandanwl reposted
Want to break out of the information cocoon and directly access the latest AI news?
Follow these 10 high-quality bloggers and 8 excellent YouTube channels
to significantly enhance your AI understanding and avoid being overwhelmed by low-quality content.
1. 10 High-Quality Bloggers
1. Sam Altman @sama
CEO of OpenAI. His tweets often directly indicate product direction or industry trends, serving as the core signal source at the intersection of AI business and technology.
2. Lex Fridman @lexfridman
MIT researcher and top podcast host. He connects big names like Altman, Musk, and Karpathy through deep conversations, providing rich intellectual exchanges rather than superficial opinions.
3. Kai-Fu Lee @kaifulee
CEO and former President of Google China. A Chinese AI leader who perfectly combines Silicon Valley frontiers with practical experience in the Chinese market, helping Chinese users understand the dual context of global and local developments.
4. Demis Hassabis @demishassabis
CEO of Google DeepMind and Nobel Prize winner. Focused on AI-driven scientific breakthroughs (like AlphaFold), representing the purest scientific orientation.
5. Yann LeCun @ylecun
Chief AI Scientist at Meta and one of the three giants of deep learning. A top scholar who dares to publicly question the current LLM trajectory, helping you maintain critical thinking.
6. Andrej Karpathy @karpathy
Former AI Director at Tesla and former researcher at OpenAI. One of the clearest explainers of complex AI concepts, each tweet feels like a high-quality mini-lecture worth rereading.
7. Andrew Ng @AndrewYNg
Stanford professor and co-founder of Coursera. A pioneer in AI education, his tweets focus on "how to implement" and learning methods rather than empty trends.
8. Fei-Fei Li @drfeifei
Founder of Stanford HAI and creator of ImageNet. Not only advancing computer vision but also defining the human values and ethical boundaries of AI.
9. John Carmack @ID_AA_Carmack
Father of Doom, fully invested in AGI. Although he tweets infrequently, each tweet is a breakdown of pure engineering thinking, with a clear path suitable for those wanting to practice hands-on.
10. Dr. Moyu @Jason23818126
Myself. I will continue to integrate and share the above high-quality information and my thoughts, sharing AI trends and insights, AI side jobs, automated workflows, etc. Feel free to follow me.
2. 8 Excellent YouTube Channels
1. AI Explained
The channel that provides the fastest in-depth analysis after model releases. Balancing technical analysis and industry impact, it serves as a real-time news station for AI practitioners.
2. Matt Wolfe
Founder. Weekly AI news summaries + tool reviews, helping you find what’s truly worth paying attention to among hundreds of new products.
3. Wes Roth
AI news commentator, covering the full spectrum of OpenAI / Google / Anthropic dynamics while discussing AGI ethics. Fast-paced and high information density.
4. Dwarkesh Patel
A representative of the new generation of deep interviews. Has interviewed Karpathy and Ilya Sutskever. His questions are sharp and straightforward, often uncovering insights not heard elsewhere.
5. Tech With Tim
Python + AI practical tutorials. Building projects from scratch, implementing algorithms, using tools, suitable for developers who "learn theory but don’t know how to apply it."
6. Sabrina Ramonov
AI automation teaching, focusing on AI Agent construction, prompt engineering, and n8n workflows, specifically helping individual entrepreneurs improve efficiency by 10 times using AI.
7. Liam Ottley
New Zealand AI entrepreneur. He doesn’t teach you to code but teaches you how to build an AI Agency for customer acquisition, delivery, and scaling. If you want to commercialize, watch him.
8. Cyberjungle
AI video generation + voice synthesis + movie-level special effects tutorials. At the forefront of AI creative applications, suitable for those wanting to use AI for content creation.

Panda Teacher's "Anti-Cutting" Weapon List: Say Goodbye to Emotional FUD, Use Hermes + Surf to Pierce Through "Soft Rug" Scams
Hello everyone, I am Panda Teacher.
I have always emphasized one thing to my brothers: do not believe in emotions, believe in data.
Especially now that Bitcoin is above 90,000 points, the market is extremely hot, and various Meme coins are dancing wildly.
What you see in your information feed every day is often what others want you to see. A certain KOL is frantically promoting a coin, and the mood in a certain group is high, often hiding the "soft rug" scythe of the market makers behind it.
In the past, to help the community uncover the truth behind these projects, I needed to go through extremely tedious cross-verifications: checking Twitter for sentiment, looking up fund flows on blockchain explorers, and then opening market software to check prices.
Not only was it time-consuming and labor-intensive, but sometimes by the time I figured it out, the scythe had already fallen.
But recently, my workflow has undergone a complete evolution—because I integrated Hermes and Surf Skill into my daily data foundation.
Today's article won't teach you how to get rich, but how to survive in this dark forest using this "magic mirror".
1. What you think is consensus may just be data manipulation by others.
In the Meme market, the scariest thing is not directly pulling liquidity, but "soft rugging".
Project parties or large holders manipulate the market and create false social hype (FUD or FOMO), causing retail investors to buy in at high prices.
How did we prevent this in the past?
Relying purely on experience and intuition, or spending hours tracking those tangled blockchain addresses, trying to find traces of fund movements.
This is prohibitively difficult for retail investors who do not understand coding.
So how do we do it with Hermes + Surf?
Surf is no longer just a query tool; it is the strongest data infrastructure in the Hermes ecosystem.
We can directly cross-reference social hype (Social Mindshare) + on-chain behavior + price anomalies in three dimensions.
2. Practical Exercise: Tear Apart a "Pump and Dump Scam" in Three Minutes
Let me walk you through this workflow with a practical scenario. Suppose a token named $FUDGER has suddenly been mentioned frantically by several big influencers on Twitter, what should we do?
Step 1: "Divergence Test" of Social and Price
Don't rush to FOMO in; directly call Surf Skill in Hermes:
Surf command example:
"Help me check the social hype (Social Volume) trend of $FUDGER in the past 24 hours and overlay its price trend line."
Result analysis: If you see its social hype skyrocketing while the price is declining or stagnating, this is an extremely dangerous signal—this is called the distribution phase. Large holders are using social volume to cover their sell-off.
Step 2: Track "Wash Trading" and Whale Movements
The power of Surf lies in its ability to significantly lower the cost of obtaining deep on-chain data. No need to write crawlers, just use natural language:
Surf command example:
"Analyze the trading behavior of the top 10 holding addresses of $FUDGER in the past 12 hours, focusing on marking actions that transfer to DEX."
With this command, you can instantly see if there are early profit-takers or suspected project wallets secretly dumping into decentralized exchanges (DEX).
3. The True Value of Surf: Quantitative Thinking for Retail Investors
In this circle, information asymmetry is money. As mentioned by industry veterans in this article: must-see recommendation 👉 , the value of Surf lies in its ability to reshape how we obtain data.
By integrating Surf with Hermes, we have achieved a shift from "passively receiving information" to "actively building a filtering framework":
1. Save time: What originally required opening 5 different web pages and spending half an hour on deep research now only takes two sentences in Hermes, with results in 3 minutes.
2. Zero threshold: You don’t need to know Python, nor do you need to understand the underlying logic of VibeCoding; natural language is the best code.
3. Build your own moat: You can build your own monitoring bot based on the data layer provided by Surf. Whether tracking specific KOL wallets or monitoring net fund inflows in a certain sector, it can become your strongest support.
In summary:
Surf Skill is not just a command-line tool; it is our data foundation for making trading decisions and filtering out the false. In this manipulated market, not getting cut is the biggest profit. Leave the complex data to Surf, and keep the rational judgment for yourself.



ryan 🌊
Your trading bots see one or two sides of crypto.
Mine sees all sides.
took 5 minutes to wire @Teknium's Hermes to @SurfAI Skill. It watches:
1. Whale Wallets
2. funding rounds
3. X sentiment
4. Investor/team information... and more
and alerts me when a token is showing a signal, but the price hasn't caught up yet.
Get the API key →









