The state of the cryptocurrency market is heating up again, with many investors looking for the next coin to hit the $1 mark. While Bitcoin and Ethereum remain stable, new names such as BlockDAG, RNDR, NEAR, and TAO are emerging on the horizon.
BlockDAG: Real Utility and Rapid Growth
BlockDAG is generating excitement in the market thanks to its remarkable growth. Its presale started at $0.001, and the price has reached $0.0276 at Batch 29. With a launch price of $0.05, early buyers have already seen a 2,660% return. Over 22.6 billion coins have been sold, raising $303 million. BlockDAG supports EVM, making app migration easy. Its hybrid DAG + PoW design allows it to handle 2,000 to 15,000 transactions per second. Over 2 million users are currently mining BDAG, highlighting its practical significance.
Render (RNDR): AI Support and Recent Setbacks
Render Network, or RNDR, is known for its role in supporting AI through shared computing. However, the recent removal of its old Ethereum version by Coinbase caused an 8% price drop. Although the new version on Solana is still operational, this change has raised concerns among supporters. RNDR has experienced a 9.5% weekly drop, but new GPU releases and rising RSI may indicate a possible recovery. The project continues to be on investors' radar due to its long-term value in the AI sector.
NEAR Protocol: Increasing Users and Steady Growth
NEAR is steadily establishing itself in the cryptocurrency market. With 46 million monthly users as of May 2025, it ranks second only to Solana. Despite its price decreasing to $2.22, down 6.6% over the past week, trading volume remains solid at $207 million per day. NEAR continues to develop new tools, including NEAR Intents for DeFi. If it pushes above $3 again, many may see it as a promising coin for DeFi enthusiasts.
Finding the next crypto to hit $1 requires analyzing how a project operates, the number of users, and its contributions to the market. BlockDAG stands out with its impressive metrics and working products. RNDR and TAO offer long-term potential in the AI space, while NEAR demonstrates real usage and strong growth.
