After the Launch of MegaETH Mainnet, These 8 dApps Are Worth Prioritizing for Experience

比推Опубліковано о 2026-02-10Востаннє оновлено о 2026-02-10

Анотація

MegaETH, a high-performance "real-time blockchain," has launched its mainnet. This article highlights eight promising dApps in its ecosystem that users should explore. Euphoria is a gamified tap-to-earn trading platform designed for mass adoption, backed by $7M in funding. Blackhaven acts as a digital asset treasury focused on sustainable yields and community rewards. Bad Bunnz is a leading NFT brand expanding into a broader ecosystem, including a launchpad and DEX. CAP is a yield-generating stablecoin protocol that replaces governance with smart contracts, already holding over $200M TVL on Ethereum. Legend offers a trader-vs-trader competitive platform with cross-device sync. HelloTrade enables 24/7 leveraged trading of stocks, commodities, and crypto, founded by ex-BlackRock directors. Funes is an AI-powered digital museum archiving 3D models of global architecture, supported by Binance Labs. World Markets is an innovative exchange offering low-collateral borrowing by leveraging MegaETH’s real-time risk tracking. These dApps showcase MegaETH’s capacity for high-speed, scalable applications across DeFi, NFTs, gaming, and cultural preservation.

Author: Amir Ormu, Crypto KOL

Compiled by: Felix, PANews

Original Title: MegaETH Mainnet Launched, Listing Eight dApps You Can't Miss


On February 9, MegaETH announced the official launch of its mainnet and introduced the ecosystem frontend The Rabbithole, which supports users in discovering applications, cross-chain transactions, exchanging assets, and receiving ecosystem notifications. On the occasion of the mainnet launch, crypto KOL Amir Ormu published an article listing eight potential projects in its ecosystem. Below are the details.

MegaETH has been in the spotlight recently, but most people's understanding of this blockchain is limited to the Fluffle NFT sale, the oversubscribed public token sale, or the $250 million pre-staking that sold out in less than a minute.

However, most people only see the surface-level excitement of MegaETH and overlook its dApp ecosystem. Many are not even aware that many real applications have already been born on this "Real-time Blockchain."

This article condenses hours of research into a 10-minute read, introducing you to eight potential dApps you must know before the MegaETH TGE.

1. Euphoria

Euphoria is an evolution of "tap-tap" games in the trading field. From slot machines to last year's Hamster craze), it has been proven that humans are naturally inclined to tap on anything that promises value. The problem with such games is that most are not designed for long-term development and attract only airdrop hunters who leave as soon as rewards dry up. Currently, most such games have fewer than 100,000 users, while Hamster peaked at over 300 million.

Most current trading applications are copies of each other: the same features with a different logo. People trade to make money, with no emotional experience, which is exactly what Euphoria aims to solve.

If trading becomes fun, more people will participate. Memecoin and Polymarket have proven that the platforms that win the market are not the ones with the most complex features, but those that resonate most with ordinary users.

Euphoria combines the tap-tap experience that has been popular for years with trading and gamification elements, making it a true game-changer.

This real-time interaction would not be possible without the performance support of MegaETH. Euphoria is one of the top projects on MegaETH, having raised over $7 million from top VCs including Santiago R Santos and Robot Ventures.

Euphoria is currently being tested on the testnet, with access limited to certain members. If you want to try it, you can visit the official website to join the waitlist.

2. Blackhaven

Blackhaven aims to become the Digital Asset Treasury (DAT) of the MegaETH ecosystem. Its architecture is designed to continuously absorb $MEGA through various financial instruments. It is supported by a diversified portfolio of on-chain yield-generating assets aimed at producing sustainable returns and serving as the core liquidity engine of the MegaETH ecosystem.

Blackhaven's design focuses on two parts:

  • For risk-averse investors who want safe, sustainable returns without taking on risk.

  • For DeFi-native users who seek unique risk/reward strategies.

Blackhaven is entirely community-centric, with 80% of the tokens allocated to the community. The team includes the former Growth Lead of OlympusDAO, the founder of AlfaDao (one of the most well-known crypto DAOs currently), and a former SushiSwap contributor.

Their early access event has ended, attracting over 45,000 users. The team has indicated that they expect more users to join in the future.

3. Bad Bunnz

Bad Bunnz is the most well-known NFT brand on MegaETH. The team has been working diligently behind the scenes, rising from an underdog in the ecosystem to a PFP project supported by the most influential figures in MegaETH. Even just maintaining loyalty could earn a token allocation worth over $10,000 in the $MEGA token sale (based on a pre-launch final valuation of $4 billion).

Bad Bunnz has evolved from a simple PFP collection into a true ecosystem:

  • Faster: A fair launch platform incubated by Bad Bunnz

  • Paw: (Not yet disclosed)

  • Prism: A community-oriented DEX on MegaETH.

Given the attention, partnerships, and reputation that Bad Bunnz has built, it is believed they will launch one of the largest projects in the ecosystem.

4. cap

CAP uses smart contracts with built-in parameters that require yield-generating entities to exceed specific thresholds to obtain funds and generate returns for the protocol and its dollar stablecoin.

They are addressing one of the biggest issues in the yield stablecoin space: the problem of DAOs or centralized giants controlling governance. CAP replaces trust in people with trust in code, with governance entirely enforced by smart contracts.

The CAP system involves three main participants:

  • Minters: cUSD holders (redeemable 1:1 for USDC/USDT)

  • Operators: Must meet the yield threshold set by the smart contract (including hedge funds, RWA, market makers, etc.)

  • Restakers: Provide security by restaking ETH and face slashing if they support non-compliant operators.

In short: Users deposit USDC/USDT → Mint cUSD at a 1:1 ratio → Stake cUSD → Earn yield. cUSD can be redeemed at any time as it is fully backed by USDC/USDT. Operators borrow funds to run yield strategies → Share profits with cUSD holders based on CAP's benchmark yield. Stakers bear the risk and may be slashed. All operations are executed by autonomous agents without human intervention.

cUSD is already live on Ethereum with a TVL exceeding $200 million, and there is an ongoing campaign where users can earn CAP by supporting the protocol. The campaign will end in a few months, and it may end early if certain metrics are met.

But honestly, it feels a bit late now, as early depositors have already captured most of the rewards. It might be better to wait for the launch of MegaETH and see what new incentives they roll out for new users.

5. legend.trade

Legend, incubated by GTE, is the first TVT (Trader vs. Trader) platform that turns the market into an arena where skill, not capital, determines the outcome.

Legend draws inspiration from video game models. Instead of trading alone in a room, you enter a battlefield to compete with top traders. You can trade Memecoins, stablecoins, or perpetuals through GTE's unified asset architecture.

Your Legend profile syncs across Web, iOS, and Telegram. Additionally, there is an early alpha version and an upcoming NFT minting plan.

6. HelloTrade

HelloTrade is the latest project incubated by MegaMafia, a platform that allows trading of various markets (stocks, commodities, ETFs, cryptocurrencies) with leverage of up to 10x. Unlike traditional stock markets, it operates on-chain 24/7. Thanks to MegaETH's real-time network, its hybrid architecture makes users feel like they are not operating on-chain.

A positive signal: The founders are two former BlackRock crypto directors who helped launch the fastest-growing spot Bitcoin ETF in history. They have raised $4 million led by Dragonfly.

7. Funes

Funes is the first MegaETH dApp to receive support from Binance Labs and is incubated by MegaMafia. It is an AI-powered online museum dedicated to collecting, preserving, and managing 3D models of all human architecture, essentially a living archive documenting all human-built structures.

Their goal is to compile the material memory of the world: temples, towers, ruins, houses. You can think of it as a Wikipedia for human architecture. They have already collected nearly 1,000 digitized buildings, and the number is growing.

Personally, I believe this is a project with huge potential and genuine long-term prospects. Consider that NFTs with no practical use are worth tens of thousands of dollars; the potential value of a project preserving human memory is self-evident. Additionally, the project is integrating AI features.

8. World Markets

World Markets is an innovative exchange natively built on MegaETH, integrating spot trading, perpetual contracts, and lending.

World Markets' biggest advantage is low-collateral borrowing. Most lending dApps rely on over-collateralization, while World Markets leverages MegaETH's real-time特性 to instantly track all your spot, futures, and lending positions across the entire ecosystem. If one position is losing money and another is profitable, the system can instantly offset them, allowing you to borrow using spot collateral and active positions. It is still in the proof-of-concept stage, but it is one of the most interesting experiments.


Twitter:https://twitter.com/BitpushNewsCN

BitPush TG Discussion Group:https://t.me/BitPushCommunity

BitPush TG Subscription: https://t.me/bitpush

Original link:https://www.bitpush.news/articles/7610604

Пов'язані питання

QWhat is MegaETH and what key feature does it stand out for?

AMegaETH is a blockchain that recently launched its mainnet. It stands out for being a 'Real-time Blockchain' due to its high performance capabilities, which enable applications to function with instant, seamless interactions that feel like traditional web applications.

QName one dApp on MegaETH that focuses on gamifying trading and has received significant funding.

AEuphoria is a dApp on MegaETH that focuses on gamifying trading. It combines tap-to-earn game elements with trading and has received over $7 million in funding from investors like Santiago R Santos and Robot Ventures.

QWhich project on MegaETH aims to be the ecosystem's core liquidity engine and digital asset treasury?

ABlackhaven aims to be the Digital Asset Treasury (DAT) for the MegaETH ecosystem. It is designed to continuously absorb $MEGA through various financial instruments and act as the core liquidity engine, backed by a diversified portfolio of on-chain yield-generating assets.

QWhat problem does the dApp 'CAP' aim to solve in the yield-bearing stablecoin space?

ACAP aims to solve the problem of governance being controlled by DAOs or centralized giants in the yield-bearing stablecoin space. It replaces the need to trust humans with trust in code, as its governance is entirely enforced by smart contracts with built-in parameters that operators must meet.

QWhich MegaETH dApp, incubated by MegaMafia, is an AI-powered online museum for 3D models of human architecture and received support from Binance Labs?

AFunes is the dApp incubated by MegaMafia that is an AI-powered online museum dedicated to collecting, preserving, and curating 3D models of all human architecture. It is the first MegaETH dApp to receive support from Binance Labs.

Пов'язані матеріали

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

On June 5th, South Korea's stock market experienced a sharp decline, with major chipmakers like Samsung and SK Hynix dropping nearly 10%. Amidst the turmoil, NVIDIA CEO Jensen Huang's visit to Seoul played a dramatic role in boosting market sentiment. Following a dinner meeting with SK Group Chairman Chey Tae-won and SK Hynix CEO Kwak Noh-Jung, Huang confirmed that NVIDIA's new Vera CPU will utilize SK Hynix DRAM. The companies announced a multi-year technical partnership to co-develop next-generation memory for NVIDIA's AI infrastructure, covering products from data centers to personal AI and robotics. This collaboration extends beyond memory supply. SK Hynix is integrating NVIDIA's AI and Omniverse platform into its own semiconductor design and manufacturing processes, including computational lithography and creating digital twins of its fabrication plants for autonomous operation. While strengthening ties with SK Hynix, NVIDIA is diversifying its supply chain for the upcoming HBM4 memory, with Samsung, SK Hynix, and Micron all certified as suppliers for its Vera Rubin platform. Despite this, Huang warned that the global chip shortage, driven by relentless demand from AI factory construction, is expected to persist for several years across the entire supply chain. His visit underscores NVIDIA's systematic effort to deepen integration with South Korea's broader tech industry.

marsbit44 хв тому

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

marsbit44 хв тому

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

The Nasdaq plunged 4.18% on June 5, 2026, its worst single-day drop in over a year, as a much stronger-than-expected US jobs report triggered fears of economic overheating and delayed Federal Reserve interest rate cuts. The selloff, centered on high-valuation tech and AI stocks like Nvidia and Broadcom, spread across major indices. The article examines whether this signals a market top. The strong May non-farm payrolls data, nearly double expectations, pushed bond yields higher, directly hurting rate-sensitive tech stocks. This exposed vulnerabilities in the crowded AI trade, where valuations had soared on narratives of infinite growth, despite emerging signs of slowing order momentum and corporate AI monetization challenges. Prior to the drop, market indicators flashed warning signs: historically high valuations (e.g., Shiller CAPE ratio near 39.5), extreme bullish sentiment, and high levels of leverage. Technical charts showed key support levels being breached. Wall Street is divided on the outlook. Bears, citing risks of "stagflation" and AI bubble comparisons to the dot-com era, warn of a potential significant correction. Bulls view the drop as a healthy correction within a bull market, underpinned by a strong economy and expected corporate earnings growth of around 7% in 2026. The immediate future hinges on upcoming key events: the May CPI inflation data and the mid-June FOMC meeting. Their outcomes will critically shape market expectations for the Fed's rate path. The article concludes that conditions for a major market top are aligning, marking a fragile transition from narrative-driven gains to a phase demanding validation from macroeconomic data and corporate fundamentals. Caution is advised.

marsbit48 хв тому

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

marsbit48 хв тому

Nasdaq Plunges 4.2% in a Single Day, Did 'Black Friday' Pop the U.S. Stock Bubble?

The Nasdaq Composite plummeted 4.18% on June 5, its biggest single-day drop since April 2025, triggering widespread debate over whether the U.S. stock market has peaked. The sell-off was sparked by a stronger-than-expected U.S. non-farm payrolls report, which fueled fears of economic overheating and pushed back market expectations for Federal Reserve rate cuts, leading to a sharp rise in Treasury yields. The AI sector, the primary driver of the recent bull market, suffered severe losses, with the Philadelphia Semiconductor Index crashing over 10%. Stocks like Nvidia, Broadcom, and Micron led the decline. Concerns are mounting about the sustainability of AI capital expenditures and high valuations, with signs of order cuts for next-generation chips emerging. Analyses point to several warning signs: historically high market valuations (e.g., elevated Shiller CAPE ratio, Buffett Indicator), extreme bullish sentiment indicators, and significant insider selling. The sell-off also caused a key technical breakdown, with the S&P 500 breaking below its short-term moving average and testing its 200-day moving average. Wall Street is divided on the outlook. Bears warn this could be the start of a bubble deflation or a "stagflation" scenario, while bulls view it as a healthy, overdue correction within a bull market driven by solid corporate earnings growth. A more moderate view suggests the easy liquidity-driven rally is over, and markets are entering a phase of fundamental stock-picking with potential for consolidation. The immediate future hinges on key upcoming events: the May CPI report and the mid-June FOMC meeting. Their outcomes will be critical in determining whether this is a temporary pullback or the beginning of a more significant trend reversal. The consensus is that the era of one-directional market gains may be ending, requiring increased investor caution.

Odaily星球日报54 хв тому

Nasdaq Plunges 4.2% in a Single Day, Did 'Black Friday' Pop the U.S. Stock Bubble?

Odaily星球日报54 хв тому

The First Case on AI Agents: What Was Adjudicated?

"The First 'Agent' Ruling: What Was Decided?" On April 30, the Guangzhou Internet Court issued a ruling—China's first behavior preservation order in the intelligent agent (AI agent) field. The defendant, an open-source AI agent software, was ordered to stop downloads, cease actions that bypassed a platform's technical protection measures, and delete related tutorials and data. The core issue: the software used the operating system's "accessibility service" permissions to automate user interactions within other apps without those platforms' authorization. This mirrors a recent US case where Amazon sued Perplexity for similar reasons—bypassing Amazon's API to directly scrape and interact with its pages—and won a preliminary injunction. Both rulings establish a crucial legal boundary for the AI agent era: agents cannot operate unchecked. The article argues the fundamental legal principle emerging is one of **dual authorization**. An AI agent requires both **user consent** AND **platform consent** to operate legitimately within that platform's ecosystem. Bypassing platform rules through system-level permissions, even with user permission, undermines platform responsibilities for content moderation, data security, and user privacy, creating liability issues. The piece uses the evolution of "Doubao Phone" (an AI-integrated smartphone) as a case study. Its initial, aggressive version that bypassed platform controls faced roadblocks. Its upcoming 2.0 version is reportedly pivoting to negotiate API access and authorization deals with major platforms (like Alibaba's ecosystem), seen as a strategic adaptation to the new regulatory reality. A global trend is identified: the era of unregulated, "wild west" growth for AI agents is ending, replaced by a **compliance race**. This raises barriers to entry, as securing platform authorizations becomes a new cost. Open-source status is also not a legal shield if the code facilitates bypassing technical protections. In conclusion, these first rulings target not the largest, but the most **aggressive and representative** cases. By setting precedent with them, regulators are efficiently steering the entire industry towards a new, more regulated operating paradigm defined by dual authorization and platform cooperation.

marsbit59 хв тому

The First Case on AI Agents: What Was Adjudicated?

marsbit59 хв тому

Fired by Google Over a 14-Page Paper, Over 4,000 Rallied for Her. 6 Years Later: She Almost Predicted the Entire AI Era Back Then.

In late 2020, Google AI researcher Timnit Gebru was effectively dismissed following a conflict over a 14-page, unpublished research paper she co-authored titled "On the Dangers of Stochastic Parrots." The paper, which has since been cited over 14,000 times, raised critical early warnings about the risks of large language models (LLMs). It argued that these models, trained on vast, biased internet data, are essentially "stochastic parrots" that mimic language without true understanding, potentially amplifying societal biases, generating plausible but false information (later termed "AI hallucination"), consuming massive energy, and obscuring their training data contents. Gebru's stance led to a clash with Google management, who requested the paper's withdrawal. Her subsequent internal criticism of the company's diversity efforts and handling of the matter culminated in her termination, which sparked protests from over 4,000 Google employees and researchers. Six years later, the paper's predictions have proven remarkably prescient. Issues like AI hallucination, embedded bias (evident in resume screening and healthcare algorithms), soaring energy consumption from AI data centers, unvetted training data containing harmful content, and the risk of "model collapse" from AI-generated internet content have become central industry challenges. The incident also highlighted concerns about AI development being driven primarily by commercial competition within a handful of powerful tech companies, often at the expense of ethical considerations. After leaving Google, Gebru founded the Distributed AI Research Institute (DAIR) to explore these issues independently. The controversy underscores how her early, critical insights into the fundamental limitations and societal impacts of LLMs anticipated many of the most pressing dilemmas in today's AI era.

marsbit1 год тому

Fired by Google Over a 14-Page Paper, Over 4,000 Rallied for Her. 6 Years Later: She Almost Predicted the Entire AI Era Back Then.

marsbit1 год тому

Торгівля

Спот
Ф'ючерси
活动图片