Xiaominweb3

Many blockchain projects compete to be faster and have higher TPS.
But @0xMiden chose a more fundamental question:
Why must all transactions be executed on the chain?
In @0xMiden, execution happens locally on the user's device,
The chain is only responsible for verifying whether the results are correct.
What does this mean?
It means that computational load, privacy risks, and costs are no longer entirely borne by the chain.
It’s not about "speeding up" the blockchain,
But about redistributing power:
Returning verification to the chain and giving users true execution authority.
This is also why

The true limitations to the development of Web3 applications are often not "not enough chains," but the difficulty in balancing privacy, performance, and composability.
Many blockchains, in pursuit of one or two of these features, have to sacrifice the others—either sacrificing privacy for speed and transparency, or impacting scalability or interactivity to protect privacy.
@0xMiden's attempt is like a framework that tries to incorporate all three into a single design blueprint.
It does not pursue short-term popularity but focuses on underlying infrastructure capable of supporting long-term ec

Playing Meme Coins is the most headache-inducing, nothing more than these few issues:
High slippage that feels like a mugging, transactions constantly snatched by scientists and bots, and once the hype dies down, the pool dries up...
These are all old problems.
@MemeMax_Fi is an interesting project—it almost directly targets these pain points.
Not only has it built a dedicated chain @MemeCore_M optimized for Meme trading, maximizing transaction speed, but it also has an anti-bot attack mechanism built in, aiming to give ordinary players a fairer playground.
More importantly, it introduces a tw

NFT platforms don't have to rely on waves of hype to stay alive, do they?
@spaace_io offers a different answer — it cares more about whether you "truly participate," rather than just how much you trade.
Here, gamified progress and leaderboards allow every small action to accumulate value.
Smarter still, the platform system can sense market rhythms:
Helping you focus during the hype, inspiring discovery during quiet times, just like a trading-savvy friend by your side, rather than facing cold, impersonal machines.
This also proves that a stable, active community is far more resilient than occas

Many people simply understand @MemeMax_Fi as a "meme-based exchange," but it actually has a deeper intention.
It's not just about packaging trading with memes, but trying to make that contagious community sentiment directly part of financial interactions—meme is shifting from "atmosphere group" to "infrastructure."
Interestingly, I found that the performance of @MemeMax_Fi is quite different from most projects in the market.
Others tend to desperately create noise and hype expectations as they approach a new phase, but it instead appears very calm, with composed and restrained actions.
That's

Recently, when I was browsing @spaace_io, I felt that it was quite different from other NFT platforms I've used — compared to cold and impersonal trading markets, this place feels more like an active community you can explore anytime.
Here, everyone seems to care more about those daily small actions:
Listing an NFT casually, pricing someone else's collection, or just logging in daily to check in.
The platform quietly keeps track of all these, turning them into experience points, and you can even climb the leaderboard.
This little sense of being seen makes interactions relaxed and natural, even

The current key bottleneck in AI development is not only computing power and data but also deeper issues such as monopolization, innovation stagnation, and trust problems caused by centralization.
@nesaorg is precisely addressing these fundamental challenges by building a decentralized AI value network — it is not patching existing cloud platforms but redesigning the underlying architecture.
@nesaorg focuses on three main breakthroughs:
First, open access, aggregating global distributed computing power to form an open market, allowing small and medium teams to access resources at low cost and

The AI economy has deeply integrated into our daily lives, from mobile assistants and diagnostic support to personalized recommendations, all driven by AI creating value.
But few realize that the computing power and core models supporting all this are rapidly consolidating into the hands of a few tech giants.
This not only makes it difficult for startups to thrive but also exposes user data and privacy to risks, and may even slow down overall innovation.
Can we make the development of AI more open and balanced?
@nesaorg proposes building a decentralized AI economy network.
Here, anyone with a

Don't be fooled by @MemeMax_Fi's relaxed gameplay, but in fact, the team has a lot of ideas — aiming to become the pricing center for Meme coins.
Currently, most Meme coin prices are mainly driven by social media sentiment, with little real market competition.
@MemeMax_Fi uses perpetual contracts to let bulls and bears directly compete.
Once trading volume increases, the prices formed here might be more reliable than big V's calls, reflecting everyone's true opinions.
This is no longer just a trading platform; it's essentially helping these sentiment tokens find a more accurate "value anchor."

When we talk about @spaace_io, if we only stay at the "gamified NFT marketplace," we might be underestimating it.
After my in-depth research, I found that there is a grander narrative behind this project — it aims to become the "social layer infrastructure" of Web3.
What does that mean?
We all know that currently, our on-chain identity and behavioral data are fragmented:
You are a DeFi expert on Ethereum, an NFT enthusiast on Solana, and perhaps a gamer on Avalanche.
There is no unified identity and social graph linking "you" together.
@spaace_io seems to want to solve this problem by standard

While most blockchain projects today focus on finance and assets, @nesaorg stands out as somewhat different—it does not chase hot trends but instead concentrates on building foundational infrastructure, aiming to become the "operating system" and "trust cornerstone" of the decentralized AI era.
Its architecture can be understood from three aspects:
🔹 Execution Layer: Reliable Computing Black Box
Using technologies like TEE and zero-knowledge proofs, Nesa ensures the privacy and integrity of data and models during computation.
You can obtain trustworthy results without revealing any sen