How long has it been since you stepped onto the court? 🏀💪

While the entire market is still struggling in the quagmire of infrastructure, competing on TPS and throughput, @Kindred_AI is quietly conducting an experiment in digital species.
Through the recent intensive AMAs across Asia, America, and Japan, what I see is not just a simple roadshow, but an ambition to redefine the Web3 interaction interface—from the cold wallet connections to the warm SATO companions.
Whether it's ChatGPT or various AI tools, the essence is still a one-way output of asking and answering. However, the emergence of SATO iNFT marks the transition of Web3 AI from the tool

While the market is still watching the rise and fall of rankings, @wardenprotocol has quietly completed its evolutionary transition from concept to infrastructure. In my opinion, Warden is no longer just a simple Web3 project; it is attempting to define the physical underpinnings of the AI agent economy.
The logic supporting my judgment is very clear. First is this anti-human foolish effort; in an era where VCs chase trends, founder Josh personally invested $6.5 million to enter the market and assembled an engineering team from NASA and MIT. This hardcore start, which relies on no financing, i

In today's world filled with lightweight assets and air narratives, @cysic_xyz is an outlier, engaging in digital heavy industry.
Everyone is shouting about Agentic DeFi, but no one is talking about the elephant in the room: the current zkML simply cannot operate. Whether it’s the collaboration with @NetworkNoya or willingly being the underlying Prover, Cysic is proving a brutal truth — without hardware-level brute acceleration, all decentralized AI is a false proposition. Its logic is extremely sexy: using heavy asset hardware investment to exchange for the speed and honesty of on-chain A

Farewell to the era of manual transmission, Web3 is experiencing a great disappearance. I am optimistic about @almanak, @useTria, and @RaylsLabs not because they are reinventing the wheel, but because they are breaking down walls.
Today's Web3 is like dial-up internet in the 90s: expensive, slow, and difficult to use. These three projects together paint a completely different future: a financial singularity that is effortless, seamless, and brainless.
This is not just infrastructure; it is the three-step evolution of Web3 from a geek toy to a "global ledger" 👇
1️⃣ @RaylsLabs: Eliminate th

The key bottleneck for the explosion of the Monad ecosystem is the lack of a fair, efficient, and permissionless Capital Market. And @alloca_xyz is a truly meaningful internet Capital Market.
This is not just a launch of a Launchpad, but a permissionless, self-custodial financial engine that maximizes the potential of Monad. By adopting a Bonding Curve mechanism, Alloca ensures fair issuance, instant liquidity, and transparent pricing. 100% net income buyback, continuous staking rewards, directly locking in the long-term value of $ALLOCA , resonating and achieving win-win with the Monad ecosys

The IEO frenzy of Bitdealer $BIT , its core value is no longer in the numerical leap from $60 to $3870 , but in revealing the three underlying sentiments of the current crypto market:
The extreme desire for "certainty"
At the end of the bear market, where information is exploding and projects vary in quality, the market is willing to pay a premium for projects that have real data and significant endorsements. The participation of nearly 6,500 people reflects a collective aversion to uncertainty, directing funds towards narratives that seem "foolproof": Solana + real game users + leading endor

One of the main characteristics of blockchain is transparency, but precisely because of this, it often "forgets": applications cannot efficiently access historical data, greatly limiting the capabilities of smart contracts. @brevis_zk's Data Coprocessor is designed to solve this problem, giving blockchain applications true "memory."
When traditional blockchain applications read historical data, they often require costly computations to obtain accurate data, and it can even be difficult to implement complex logic on-chain. Brevis's Data Coprocessor automatically organizes all on-chain data and

The rise of Kindred AI is quietly transforming the landscape of emotional AI, but this is no coincidence. In my opinion, it is not just an innovation in a product but a whole new way of thinking—deeply integrating emotion and technology to address the fundamental needs of human emotions. What it does is not merely riding the market trend but pioneering a unique path in this fiercely competitive arena.
Firstly, @Kindred_AI's uniqueness lies in its insistence on the concept of “slow.” Many Web3 projects always pursue speed, iteration, and short-term effects, but Kindred takes the opposite approa