In the crypto world, prediction markets are often regarded as one of the best reflections of genuine sentiment.
Whether it’s price fluctuations or major events, people always hope to capture the outcome with their own judgment.
@trylimitless is a rapidly growing platform that meets this demand, allowing users to make prediction trades around crypto trends, macroeconomics, and hot events. All processes are settled on-chain with transparent and open results.
$LMTS is the platform’s core token, used for governance, fee discounts, and staking rewards. As the platform expands into multi-chain scen

$MERL Recent price performance has already provided clear signals.
In the past few weeks, three consecutive attempts to break through $0.5 have been met with selling pressure and pushed back, establishing a structural resistance.
Each time the price approaches higher levels, trading volume increases, but buying momentum lacks continuity, and active funds are noticeably more cautious.
Moreover, the short-term pullback of BTC and ETH has shifted market sentiment towards caution, and MERL lacks the momentum to continue upward before key resistance levels.
On-chain data also shows that many addre

The core value of SIXR lies in bringing the sport of cricket, with its rich cultural heritage, into Web3 in a way that offers a greater sense of participation and ownership. It aims to combine fans' emotions, highlight moments on the field, and on-chain asset systems to establish a community-driven SportsFi ecosystem.
In many countries, cricket is not just a sport but a tradition shared by families and communities. People are accustomed to watching matches in the afternoon sunlight or staying up late for crucial encounters, with their emotions frozen in those moments. These moments often repre

Every round of market sentiment fluctuations drives traders to choose between efficiency and security. Some opt for decentralization at the cost of operational complexity and deep dispersion; others choose centralization to gain speed but lose control. VOoI is being increasingly discussed in this context because it attempts to offer a more balanced path between the two.
@vooi_io's vision is to connect multiple perpetual protocols and spot markets, providing users with an execution entry point after liquidity aggregation, making trading less frictional and allowing users to avoid frequent cross

LayerBank and ULAB are still in the early expansion stage. While users focus on their technological roadmap and prospects, they should also take a pragmatic approach to token economics, liquidity, and security.
Many new projects are given high expectations at their start, especially in sectors like cross-chain infrastructure. However, few protocols can maintain stable operation, continuously attract liquidity, and establish ecosystem consensus in a multi-chain environment.
@LayerBankFi's emergence offers new hope to many, as it attempts to systematically address the long-standing efficiency is

Inference Labs has a clear direction in promoting the integration of privacy, security, and verifiability, but moving from research to large-scale deployment still faces multiple engineering and cost challenges.
As the intersection of AI and blockchain deepens, people's demands for transparency, fairness, and privacy are converging. Many projects hope to bring model inference into more trustworthy environments, but truly protecting models and data while being able to verify whether the inference itself is correct is a challenge only a few teams are willing to face directly.
@inference_labs' ap

Although Pacifica has demonstrated a clear direction in performance and trading experience, the decentralized derivatives market itself faces complex challenges. Users need to understand the project's vision while paying attention to more fundamental indicators such as security, transparency of architecture, and liquidity depth.
Everyone who hopes to make a long-term layout in the derivatives market knows that there is always an invisible dividing line between speed and security.
To provide an experience close to centralized operations, the project inevitably requires more engineering optimiza