Near Protocol is rolling out a major upgrade that will let the network grow on its own — and the market is rewarding it. NEAR’s native token surged more than 27% in 24 hours to about $2.25 after the team announced an automated scaling feature called dynamic resharding, scheduled to go live in June.
What is dynamic resharding?
- Shards are independent partitions of a blockchain that process transactions and smart contracts in parallel — think multiple checkout lines at a grocery store instead of one long queue. More shards = more throughput.
- Until now, adding shards on NEAR required weeks of manual work: validator coordination, a governance vote, and a staged rollout.
- With dynamic resharding, the network will automatically split a shard when it reaches a state-size threshold. The split is deterministic and validated by state witnesses, removing the need for human intervention. Rather than simply halving a shard, NEAR will add additional parallel validators to handle increased load.
Why it matters
- Automatic scaling lets NEAR respond in real time to spikes in demand — a capability that’s especially relevant for an AI-driven on-chain economy where bots and automated agents will transact at high frequency.
- The upgrade also adds post-quantum-safe signing to protect user funds against future quantum computing threats — a concern amplified in recent years by research suggesting sufficiently powerful quantum machines could undermine current cryptographic systems.
Market reaction and context
- NEAR was the best-performing crypto among the top 100 by market cap over the past 24 hours following the announcement.
- The token’s rally is supported in part by investor interest in the Bitwise Near Staking ETP listed in Europe, which pulled in roughly $7 million this week, according to Bitwise CEO Hunter Horsley.
- By comparison, Bitcoin slipped about 0.4% to roughly $77,360 in the same period.
Bottom line: NEAR’s June upgrade aims to make the protocol self-scaling and more future-proof, and investors appear bullish on the implications for throughput and security.
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