Shiba Inu Surges 5.023% as Shibarium Hits 12 Million Blocks

Shiba Inu's latest price was $0.00001438, up 5.023% in the last 24 hours. Shibarium, the layer-2 solution supporting the Shiba Inu ecosystem, has surpassed a total of 12 million blocks. This milestone was reached just days after earlier projections indicated increasing momentum in network activity. The layer-2 network has also been gaining popularity, which is partially associated with the stable five-second block production interval. Such reliability has made it a powerful competitor among the Ethereum-based L2 protocols. And since every block is processed within a short period, the result is nothing but an increment in user participation, which means that users are active in higher percentages every day.

Transaction growth on the network remains steady. Shibarium has recorded over 1.37 billion total transactions. These transactions were generated from 267,232,505 unique addresses, signaling wide adoption. Daily transaction volume consistently stays above one million, with the most recent 24-hour figure reaching 4.59 million. In response to its rapid growth, Shibarium developers have encouraged the implementation of key infrastructure upgrades. These include the deployment of Heimdall and Boric static nodes. The purpose of these updates is to improve overall connectivity and stability while supporting the scalability of the ecosystem. With more activity coming, Shibarium is estimated to reach a total of 1.4 billion transactions by the end of the third quarter of 2025. The current rate of the platform is sustained by fast transactions and never-stopping user involvement, which means that the network has the potential to continue its form of growth.

Shibburn, a prominent SHIB wallet tracker, has revealed that the Shiba Inu token burn rate has dropped dramatically over the past 24 hours. Despite this sharp decline, the SHIB community has still succeeded in burning millions of tokens, maintaining its commitment to reducing the overall supply. According to data shared by Shibburn, the burn rate for SHIB plunged by nearly 100 percent over the past week. Despite this harsh plunge, the number of SHIB coins transferred to dead addresses totaled 46,451,929 between the same timeframe. Such tokens are thus out of circulation and can never be used again. Within 24 hours alone, the SHIB tokens have already been burned to 180,292. This shows a huge decline in the daily burn rate, which is 87.60 percent, compared to the other days. Nevertheless, the community has not been left wanting regarding their consistent attempt to drive tokens out of supply. The reduction of the burn rate has not been reflected in other ecosystem parameters. Meanwhile, one development related to the SHIB ecosystem witnessed developers introducing a principal infrastructure upgrade, namely the deployment of the Shib Alpha Layer block explorer. The new explorer was rolled out in beta for testing on the Shib Alpha Layer. It is a specifically designed Layer 3 network tool with live access to block and transaction data. The explorer is also distinguished by the real-time indexing of information, which enables users to access blockchain activity without time lag. It can also provide network health statistics and contract tracking, which are valuable features of transparency in the ecosystem. In contrast to general-purpose explorers, this exploration was optimized to serve the modular rollups of the Shib Alpha Layer. It facilitates external contract verification, aligning with Shibarium’s overall open-access approach. Despite the steep fall in SHIB’s burn rate, the community continues to eliminate millions of tokens weekly. At the same time, the rollout of the Shib Alpha Layer explorer signals steady progress in developing the network’s infrastructure.

Shiba Inu has garnered renewed attention following a series of significant network and ecosystem updates. Activity within its network has increased, potentially stimulated by positive technical developments and community engagement. Recent data indicates noticeable accumulation activity by large-scale investors, often referred to as whales, who transferred substantial amounts of SHIB from exchange platforms to personal storage. This movement is generally interpreted as a sign of accumulating for the longer term.

Technical analysis points to a notable technical event occurring on the daily price chart, often referred to as a golden crossover, suggesting a potential shift in momentum according to certain market methodologies. Furthermore, SHIB appears to have successfully overcome a significant technical resistance level after a period of consolidation. Achieving this breakout is considered technically important for confirming the potential for continued upward movement by analysts examining chart patterns.

On-chain analytics provide deeper insights into the network's current state. While a decline in the number of addresses holding SHIB at a loss has been observed, suggesting improved overall holder sentiment, concerns linger regarding the slow pace of the token burn mechanism. The current burn rate lags behind community expectations, a critical factor for SHIB's tokenomics and future supply dynamics that continues to be a focal point for observers. On-chain metrics further suggest that reclaiming significantly higher valuation tiers would necessitate breaching several more substantial resistance zones identified through analysis of historical transaction data and current holder distribution.

Artificial intelligence models are also being leveraged to project future paths for SHIB, generating discussion within the investment community. These AI-driven analyses highlight ambitious potential long-term milestones, contingent upon sustained network growth, continued adoption, and favorable overall market conditions. The combined effect of these developments – technical breakouts, whale accumulation, active burn discussions, on-chain analysis, and AI forecasts – contributes to a renewed sense of anticipation and discussion surrounding the Shiba Inu project and its potential trajectory.