Those who minted the Trailheads NFT collection by @campnetworkxyz are now sitting at 10x, and even 20x for Early Access minters.
I just discovered the collection today, and looks like a a LOT of work. Each NFT character was entirely handcrafted, which fits perfectly with CampNetwork’s spirit and values.
You can really feel their intention to capture the warmth and emotion of a campfire.
Honestly, I’m surprised the floor price is still around 0.2 ETH, considering there are only 1,000 pieces and all handcrafted.
The creators didn’t make much from the mint (just 0.01 ETH per NFT), yet the artistic effort must have been massive.
That tells you everything you need to know about their mindset, they’re here to build something meaningful and long-term.
When I first got into crypto back in 2017, I saw an image on Reddit that completely changed how I saw the space.
Honestly, without that image, I probably wouldn’t be here today.
I didn’t save it, but I tried to recreate it, it’s this pyramid.
This ecosystem is all about narratives. Narratives are the foundation of the pyramid, and they create opportunities to benefit.
But the truth is narratives come and go.
No matter how strong a narrative feels, it will fade in a few months.
At the time, each one looks like it's here to stay, perfectly implemented, widely adopted, but then it disappears.
And that’s actually the beauty of this space as there’s always something new, and with that, more opportunities.
That’s why I believe you should treat every narrative as a chance to make gains, and then lock those gains in $BTC.
$BTC is the only thing that has consistently held its value over the years, across all narratives.
We have enough history now to see that clearly.
The formula: 1️⃣ Ride every narrative 2️⃣ Always remember it will eventually end 3️⃣ Convert your profits into BTC 4️⃣ Repeat. Every cycle. Every narrative.
Finally got some time to dive deeper into @OpenledgerHQ.
It looks like one of the most complete AI-focused Layer 2s out there. It’s built on the OP Stack and uses EigenDA for data availability.
At its core, it lets AI models and data providers get paid when their models or data are used, basically, a blockchain built to monetize AI.
Here are some of the main use cases:
1️⃣ Decentralized Data Marketplace Anyone can share datasets (e.g., medical data) and earn based on how often the data is used.
2️⃣ AI Model Monetization Developers can publish their models on OpenLedger and earn revenue every time they’re used, through smart contracts.
3️⃣ LLM Finetuning via Model Factory A no-code interface that lets anyone fine-tune language models using custom datasets stored on-chain.
4️⃣ Trackable, On-Chain AI Agents Autonomous AI agents can operate independently, with transparent governance via staking and slashing mechanisms.
5️⃣ Multi-Chain Interoperability for AI Smart contracts and AI systems can interact across MoveVM, EVM, and other VMs, enabling seamless cross-chain collaboration.
6️⃣ Open-Source Developer Incentives Developers get rewarded for creating reusable components that can be integrated by other models, agents, or apps.
If you know how to use @pendle_fi properly, you’ve already done 90% of the work to be profitable in DeFi.
Especially for point farming like @aegis_im, they just launched a new pool on Pendle where you can earn up to 100% weekly in airdrops for any amount deposited.
You can for example, buy YT-sYUSD on Pendle. These have a maturity of around 70 days. During that time, you’ll earn the underlying yield plus 75 Aegis points per day for each YT you hold.
If you deposit $100, that earns you roughly 470,000 points per day, which translates to:
~$25 per week at a $25M FDV
~$50 per week at a $50M FDV
~$75 per week at a $75M FDV
~$100 per week at a $100M FDV
YT on Pendle is probably the riskiest and most complex product to understand, but it’s also where the biggest opportunities often are.
The great thing about Pendle is that there’s something for every risk profile. If you prefer lower risk, you can buy PT or provide liquidity for more stable exposure.
In reality @MagicNewton works just like Bitcoin miners.
Criticizing them for working off-chain is like criticizing Bitcoin because miners also operate off-chain.
Just like Bitcoin miners perform intensive computations off-chain and only submit the proof (a valid block with proof of work), MagicNewton’s AI agents monitor conditions and run logic off-chain, then submit a ZK proof on-chain to verify they followed the rules correctly.
They don’t reveal the full off-chain process, they prove that the outcome is valid and verifiable.
Same logic. Same trust model. Just a different use case.
I’ve been asked a lot how @MagicNewton ensures accuracy even during high market volatility. And it's a crucial thing to get.
To get this, you need to know how the internal process works.
It all starts with the user defining a rule like “Buy BTC if it drops below $100K.”
The AI agent then monitors on-chain data to check whether the condition is met. This monitoring occurs off-chain because it's resource-intensive and requires efficiency.
Now, you might say: if it's off-chain, can we trust it? The answer is in the next step.
Once the condition is met, the AI agent generates a ZK proof that it has followed the predefined rules and that the trigger condition is truly satisfied.
Since the first step is off-chain, the AI agent must prove on-chain that it didn’t cheat. That’s why it doesn’t matter that the AI operates off-chain, the trust comes from the on-chain proof.
A smart contract then verifies the ZK proof. If it’s valid and the original rule conditions are met, it authorizes the transaction. If not, it rejects it.
So, even in highly volatile conditions, nothing gets executed blindly. Right before the transaction goes through, the smart contract performs a final check.
If BTC has already jumped back above $100K, the contract's built-in revert logic cancels the transaction.
In short: the system is designed to remain accurate and trustless, even under extreme volatility.
You can't scroll through X without building a go-to list of creators who help you cut through the noise of this market.
Here’s a curated list of top-tier researchers, analysts, deep-dive writers; basically, the kind of content I love reading:
@0xCheeezzyyyy – Shares alpha daily. His visuals and charts are next-level, which makes sense given his background. Always sharp and data-driven.
@evancrypt – Always in the right place at the right time. His insights are fresh and offer a unique perspective on the space.
@0xMughal – If you prefer video content, Mughal is your guy. He creates a lot of written content too, but his videos stand out. He has a real talent for simplifying complex crypto concepts.
@Defi_Warhol – Delivers solid content with strong visuals. Offers comprehensive DeFi insights and protocol breakdowns, all in an easy-to-read format.
@atoms_res – The airdrop master. Known for his step-by-step guides. He has a knack for finding the best projects to farm and always takes the smartest approach.
@stacy_muur – No way you don’t already know her. One of the OGs with some of the sharpest takes in the space. Shares daily insights paired with out-of-this-world visuals.
@AmirOrmu – On-chain analyst at @castle_labs and active in several top-tier alpha groups. That gives him a strong edge, and he consistently shares valuable alpha and key info almost every day.
@green_but_red – How does he only have 1.2K followers? Posts daily news, sharp takes, and writes a great newsletter. He’s bound to blow up in the coming weeks, it’s just a matter of time.
Spend just a few days reading posts from these accounts and you’ll feel your DeFi and crypto knowledge level up dramatically.
I'm impressed by how cleverly @MagicNewton combines simplicity and security in its workflow.
1️⃣ The user starts by defining a rule, for example: “Buy 0.1 ETH worth of BTC every Monday if the price is below $70,000.”
2️⃣ This rule is assigned to an AI agent that monitors and detects when the condition is met, all within a secure off-chain environment for better efficiency.
3️⃣ Once the condition is satisfied, the agent generates a Zero-Knowledge Proof (ZKP) to cryptographically prove that the condition has been met.
4️⃣ This proof is then sent to the MagicNewton smart contract, which verifies the validity of the proof on-chain.
5️⃣ If the proof is valid, the smart contract executes the transaction by unlocking funds from a secure module. These funds were pre-approved by the user, similar to how you authorize a DEX to spend tokens on your behalf. The contract will only act if the proof is legitimate.
The agent is responsible for thinking, monitoring, and proving, but not for executing. It sends the validated instruction and proof to the smart contract, which handles the execution on-chain.
It never touches your wallet or private key, and that’s the key innovation behind MagicNewton.
I know it can be hard to tell the difference between all the automation protocols using AI and AI agents.
But honestly, it’s no surprise that @MagicNewton has gained so much mindshare, it stands out from the rest in several key ways.
The most important one is that it enables the creation of verifiable agents, meaning you can verify on-chain that the agents are actually executing the actions you’ve instructed.
And even though these agents can act on your behalf, they never get direct access to your private key, thanks to Zero-Knowledge integration.
If this narrative interests you, Newton is clearly the most complete protocol in this area; it checks all the right boxes.