MegaETH go launch mainnet Feb 9 after one‑week stress test wey reach 35,000 TPS

MegaETH, wey be Ethereum‑compatible Layer‑2, don announce say dem go launch mainnet for February 9 after dem finish seven‑day global stress test. Dem talk say network reach near 35,000 transactions per second (TPS) and e process about 10.7 billion on‑chain transactions during the test, and most of the activity come from Web3 games (Smasher, Crossy Fluffle, Stomp.gg). Participants talk say performance smooth and real‑time, no congestion; the team claim sub‑millisecond latency and theoretical capacity pass 100,000 TPS based on previous isolated tests. MegaETH get backing from big Ethereum people and VCs. The project bin return $500M pre‑deposit sale before because of technical and KYC errors, show say execution risk dey. For traders: if high throughput and good UX hold, e fit boost dApp usage and token demand on launch, but real market impact go depend on how mainnet perform for real‑world conditions, wider developer adoption, tokenomics, and if throughput claims stand outside test conditions. Make una monitor on‑chain activity, developer tool availability, and initial token distribution/market listings for short‑term price signals.
Bullish
Di news dey generally bullish for MegaETH native token because successful stress test and mainnet launch wey dey near increase di chance say on‑chain activity go rise and di ecosystem go grow. High reported throughput (35,000 TPS) and low latency make MegaETH attractive to game and high‑frequency dApp developers — sectors wey fit drive transaction volume and demand for fees. For short term, positive sentiment around launch announcements and stress‑test results dey often spur speculative buying and listing interest, wey dey create upward price pressure. For medium to long term, sustained bullish impact depend on execution: real‑world throughput, developer adoption, tokenomics, and whether early operational issues (di returned $500M pre‑deposit) don fully resolve. If mainnet deliver steady usage and liquidity, token demand and price fit rise; if launch falter or adoption slow, initial gains fit reverse. Traders suppose watch on‑chain metrics, developer activity, initial token distribution, and exchange listings for confirmation.