This tiny AI-powered coin just hit $2M in presale, can it repeat DOGE’s 30,000% run?

AlphaMind (AMND), a nascent AI-driven token, has just closed its presale after raising $2 million in under one week. Leveraging on-chain machine learning oracles and predictive trading algorithms, AlphaMind aims to power decentralized finance applications that can dynamically adjust to market conditions. The presale success underscores growing investor appetite for utility tokens that blend artificial intelligence with on-chain protocols.

At $0.02 per token and with a capped presale allocation of 100 million AMND, early backers secured positions at a steep discount to the anticipated public launch price of $0.08. The development team—comprised of former quantitative traders and AI researchers—has already delivered a working prototype of its oracle network, which pulls in real-time data from major exchanges and sentiment feeds to generate trading signals for partner dApps.

Comparisons to Dogecoin’s historic 30,000% surge are inevitable, given the viral momentum and low starting price. However, AlphaMind differentiates itself with tangible on-chain use cases: token holders can stake AMND to earn a share of oracle subscription fees, and governance participants can vote on model updates via an NFT-based DAO. This buy-and-stake mechanism has driven over 15,000 addresses to join the staking pool during the presale phase.

Technical advisors from leading AI startups have endorsed AlphaMind’s roadmap, which includes deploying its first “Market Sense” smart contract next quarter. This contract automates yield optimization across liquidity pools based on predictive indicators. If the live launch matches testnet performance—where returns averaged 12% APY—the token could see rapid interest from yield-farming communities.

Still, replicating Dogecoin’s meteoric run remains a tall order. Doge’s rally was fueled by social media mania and celebrity endorsements, whereas AlphaMind’s growth hinges on sustained protocol adoption and AI model accuracy. Prospective investors should monitor usage metrics—such as oracle call volume and staking rates—while maintaining conservative position sizes. If AlphaMind can demonstrate consistent utility-driven demand, it may carve out its own extraordinary growth trajectory in this bull run.