MegaETH Closes Mega Mafia Accelerator as Successful Projects Migrate to Competing Blockchains

TheNewsCryptoPublished on 2026-07-17Last updated on 2026-07-17

Abstract

MegaETH has shut down its flagship startup incubator, Mega Mafia, after two years. The program supported 20 early-stage projects, which collectively raised $80 million in venture capital. However, without taking equity, MegaETH saw little long-term value return as incubated founders prioritized their own roadmaps. Most successful projects migrated to competing blockchains like Base and Monad, or built their own chains, while two ceased operations. Following the launch of its native MEGA token, MegaETH is shifting strategy. It will now focus on directly funding and developing its own native consumer applications, called OMEGA apps, designed to leverage its high-speed execution. This move to first-party development aims to strengthen the core ecosystem, foster direct user connections, and keep economic activity, supported by a stablecoin-based system, within the MegaETH platform.

Blockchain scaling network MegaETH recently shut down its flagship Mega Mafia incubator program. The team made this tough decision after two years of operations. During this period, the program supported twenty early-stage startup teams. These incubated companies collectively raised eighty million dollars from prominent venture capital firms.

However, MegaETH did not take equity or ownership stakes in these projects. The core developers originally expected these founders to remain loyal to the network. The core team hoped that shared values would secure long-term commitment without formal contracts. However, the realities of the competitive crypto market quickly proved that assumption wrong. Founders naturally prioritized their own product roadmaps over ecosystem alignment.

Developers moved these successful apps to rival blockchain networks. For instance, Global Token Exchange decided to construct its sovereign chain. The Noise team moved the social attention market to Coinbase’s Base, while the HelloTrade team migrated the app to the Monad blockchain. Cap, the stablecoin issuer, went for a multi-chain approach. In addition, two out of five incubated apps ceased to operate. Not much value flowed back into MegaETH as a result.

Transitioning to First-Party Apps

Such an abrupt change in the structure took place immediately after an important network milestone. On April 30, MegaETH created its native token MEGA. This was done in response to the achievement of performance milestones by ten ecosystem apps.

Moving forward, the MegaETH platform will directly finance its own native consumer applications. These native products will be known as OMEGA applications, developed exclusively to leverage MegaETH’s very fast real-time execution capabilities. This is an audacious move that demonstrates faith in proprietary development in the Web3 ecosystem.

MegaETH Strengthens Developer-Led Ecosystem

As a result of this switch, the core team will be able to establish personal connections with the users of their platform. No longer will there be a need to depend on external startups to boost transaction volume. This switch puts more accountability on the developers for product performance.

The platform will also continue to implement its stablecoin-based economic system. Net income from USD stablecoins will be used to continuously purchase back the MEGA tokens. It is hoped that the new approach of first-party development will help keep the economic activity within the core ecosystem.

Highlighted Crypto News:
UK Jails Fake Police Crypto Gang as Authorities Tighten Digital Asset Rules

TagsBlockchainCryptocurrencyMafiaMEGA TokenMegaETHStablecoinUSD

Related Questions

QWhat was the primary reason MegaETH shut down its Mega Mafia incubator program?

AMegaETH shut down the Mega Mafia incubator program because the successful projects it supported migrated to competing blockchain networks or created their own sovereign chains, failing to bring sustained value back to the MegaETH ecosystem.

QHow many startup teams did the Mega Mafia program support, and how much funding did they collectively raise?

AThe Mega Mafia incubator program supported twenty early-stage startup teams, which collectively raised eighty million dollars from prominent venture capital firms.

QWhat is the new strategy MegaETH is adopting after closing the incubator program?

AMegaETH's new strategy is to transition to developing its own first-party applications, called OMEGA applications. These will be native consumer apps built exclusively to leverage MegaETH's real-time execution capabilities.

QWhat happened to the incubated projects after the Mega Mafia program? Name two specific examples.

AMany incubated projects moved to competing blockchains. For example, the Noise team moved its social attention market to Coinbase's Base, and the HelloTrade team migrated its app to the Monad blockchain.

QHow does MegaETH plan to maintain economic activity within its core ecosystem going forward?

AMegaETH plans to maintain economic activity within its core ecosystem by developing its own first-party applications and by using the net income from USD stablecoins in its economic system to continuously purchase back the native MEGA tokens.

Related Reads

Strive Executive: Rethinking the Bitcoin Price Flywheel

In this article, the author discusses the future trajectory of Bitcoin's price, moving beyond the traditional "power law" model that has described its long-term price appreciation with diminishing returns. The core argument is that Bitcoin is maturing, evidenced by declining volatility and shallower market drawdowns. This maturation, often seen as leading to permanently lower returns, is framed as a precursor to a new, potentially explosive phase. The author draws an analogy to metal fatigue, where cracks propagate in three stages: initial irregular formation, a predictable middle phase describable by a power law (Paris' law), and a final rapid acceleration leading to fracture. Similarly, Bitcoin's monetization is seen in three phases: 1) Discovery (high volatility/returns), 2) Maturation (declining volatility/returns, improving risk-adjusted metrics), and 3) System-driven monetization. The key insight is that Phase 2 sets the stage for Phase 3. Lower volatility makes Bitcoin a more attractive asset for large-scale capital allocation (due to improved Sharpe ratios) and, crucially, a higher-quality collateral for loans. As perceived credit risk falls, the financial system can safely extend more dollar-denominated credit against Bitcoin holdings. This creates a self-reinforcing "flywheel": lower volatility → more capital allocation & cheaper credit → increased demand for fixed-supply Bitcoin → price rise → higher collateral value enabling more credit → continued price pressure. The conclusion posits that even if Bitcoin adoption eventually plateaus (reaching an S-curve saturation), the expansion of capital and credit chasing a fixed supply could cause its USD price to re-accelerate, breaking above the long-term power-law trajectory and entering the "third region" of rapid, system-driven monetization.

marsbit5h ago

Strive Executive: Rethinking the Bitcoin Price Flywheel

marsbit5h ago

OpenAI Reveals Its Own Jalapeño Chip: Accelerator 1.5–2 Times More Efficient Than Nvidia

On August 25, 2026, OpenAI unveiled initial test results for its proprietary inference accelerator, the Jalapeño. Benchmarks on SemiAnalysis's InferenceX platform showed that systems using Jalapeño delivered 1.5–1.9 times more computations per watt at peak throughput and reduced latency by 1.7–3.6 times compared to systems based on Nvidia's GB200 and GB300, tested on models like GPT-OSS-120B. Designed specifically for OpenAI's own workloads, the 700W-rated chip was developed in nine months with partners Broadcom (silicon/network) and Celestica (boards/racks). It's the first in a planned multi-year platform. Deployment is slated for late 2026, backed by an OpenAI-Broadcom agreement to deploy 10 GW of custom accelerators through 2029. This move shifts a major portion of OpenAI's daily inference, crucial for services like ChatGPT and its API, away from Nvidia's universal GPUs. By controlling this hardware architecture, OpenAI aims to directly reduce the per-query cost of its massive service traffic, converting what was previously supplier profit (noting Nvidia's high margins) into internal savings and computational capacity. While OpenAI will still rely on external suppliers for training cutting-edge models and for parts of inference, Jalapeño represents a strategic industry trend where hyperscalers design custom chips once inference volume becomes predictable. However, this specialization risks future inflexibility if AI architectures shift and creates dependency on its manufacturing partners.

cryptonews.ru6h ago

OpenAI Reveals Its Own Jalapeño Chip: Accelerator 1.5–2 Times More Efficient Than Nvidia

cryptonews.ru6h ago

Trading

Spot
活动图片