3 Altcoins to Watch in the Fourth Week of April 2025

Monicah W

The crypto market has shown consistent growth over the past few days, helping altcoins alongside Bitcoin to recover. However, relying solely on broader market cues or momentum will not sustain price growth.

BeInCrypto has analyzed three altcoins for investors to watch in April, as important developments are set to unfold this week.

Tutorial (TUT)

TUT price has remained stable throughout most of the month, currently hovering below the $0.027 resistance level. Successfully breaching this barrier is crucial for recovering the 53% losses incurred in March. A price rise above $0.027 could signal a positive trend and further upward movement in the coming weeks.

If this trend continues, TUT could push toward the next resistance level of $0.039, indicating strong momentum.

TUT Price Analysis.
TUT Price Analysis. Source: TradingView

However, if TUT fails to break above the $0.027 resistance, the price could decline below $0.021. Such a drop would likely invalidate the bullish outlook and lead to further losses. In that scenario, the altcoin’s price might fall to $0.015, a significant setback for the token’s recovery.

Injective (INJ)

Injective’s price has surged by 17% in recent days, fueled by anticipation surrounding the upcoming Lyota Mainnet Upgrade. Set to go live on April 22, the upgrade is expected to enhance Injective’s infrastructure, performance, and transaction speeds. This has sparked optimism, driving the price higher in the short term.

Currently trading at $8.97, Injective is nearing the $9.11 resistance level. If it successfully breaches this barrier, the price could move beyond $10.00, potentially reaching $10.35. The positive sentiment surrounding the Lyota Mainnet Upgrade is likely to continue driving the token’s growth if it can surpass these levels.

INJ Price Analysis.
INJ Price Analysis. Source: TradingView

However, if Injective fails to break through the $9.11 resistance, as seen earlier in April, the price could fall below $8.40. This would signal a retreat and could see the token dip to $7.64, invalidating the bullish outlook and erasing recent gains.

BNB

BNB’s price currently stands at $604, experiencing a two-month downtrend. The altcoin is struggling to breach the resistance of $611. To push past this barrier, BNB needs strong support from the broader market or upcoming developments that could provide a catalyst for price movement and reversal.

One potential catalyst is the Lorentz opBNB mainnet hard fork, which is scheduled for today. The hard fork aims to enhance the chain’s speed and responsiveness. If successful, this could help BNB break the $611 resistance and push the price toward the next level of $647, spurring bullish sentiment.

BNB Price Analysis.
BNB Price Analysis. Source: TradingView

However, if the hard fork’s impact fails to meet expectations, BNB could struggle to maintain upward momentum. In this case, the price may slip below the support of $576, potentially falling as low as $550. This would invalidate the current bullish outlook and likely continue the downtrend.

The post 3 Altcoins to Watch in the Fourth Week of April 2025 appeared first on BeInCrypto.

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Binance’s CZ Sparks Debate: Should AI Projects Be Built on Layer 1 or Layer 2 Blockchains?

Binance’s founder and former CEO, Changpeng Zhao (CZ), has sparked a fresh debate in the crypto community. The crypto executive questioned whether AI-focused blockchain projects should be built on Layer 1 (L1) or Layer 2 (L2) networks.

The broader discussion aligns with industry trends, where AI and blockchain convergence is becoming a focal point for developers and investors alike.

Where Should AI Live? CZ Fuels L1 vs. L2 Discussion

In a recent post on X (Twitter), CZ highlighted that the core purpose of such projects is not to develop a superior blockchain. Instead, it is to use blockchain technology to support AI economics.

He noted that while L1 provides greater sovereignty and decentralization, it also demands more effort in maintaining nodes and validators. In contrast, L2 networks offer convenience by leveraging existing ecosystems like Ethereum’s decentralized exchanges (DEXs), perpetual contracts, and tools without significant value leakage to the base layer.

“L1 vs L2…Does it matter if a new AI project is an L1 or an L2?… Is L1 cooler than L2 or the reverse? Old topic, but wondering if sentiment has changed or not,” CZ posed, welcoming conversation.

Crypto analyst Hitesh Malviya argues that L1 blockchain is the superior choice. The analyst advocates this network for projects seeking to establish their own consensus mechanisms, optimize performance, and reduce validator costs.

However, he also warns that despite extensive fundraising and user acquisition efforts, many L1 projects still experience retention drops of 70-90% after token generation events (TGE).

“…even if you retain users, you would only see one category or niche capturing the maximum traction onchain. So if the destination is already known—retention drop, higher user acquisition costs, and niche-specific demand capture—then why not build an app chain using an L2 stack,” Hitesh suggested.

Given these challenges, he suggests that building an AI-focused blockchain as an L2 app chain is a more practical approach. This would allow for faster development, marketing, and scalability.

Meanwhile, Walter from the BNB Chain Business Development team supports L2. He emphasized its accessibility to existing tools and infrastructure. His comment also hints at speculation regarding CZ’s possible attendance at an upcoming Crypto Summit at the White House.

AI & Blockchain: The Layer 1, Layer 2, and Layer 3 Debate

Investor and blockchain advisor Anndy Lian adds another dimension to the debate. In a subsequent comment on X, he argued that AI is most effectively deployed at Layer-3 (L3). He explains that while implementing AI on L1 is theoretically possible, it is impractical due to security and resource constraints.

“AI can be implemented on blockchain Layers 1, 2, or 3… In practice, Layer 3 is where AI is most effectively and frequently utilized, leveraging the blockchain’s strengths while accommodating AI’s computational needs,” Lian explained.

On L2, the blockchain advisor noted that AI can optimize scalability. However, AI is most frequently utilized in L3, enabling a diverse range of AI-powered applications while leveraging blockchain’s strengths.

Meanwhile, CZ discusses AI’s placement in the blockchain ecosystem amid growing interest in AI-integrated L2 networks. In June 2024, Binance Labs (now YZI Labs) invested in Zircuit, an AI-enhanced L2 network that utilizes zero-knowledge rollups to improve security.

This investment signals Binance’s strategic focus on AI-blockchain integration, potentially influencing CZ’s latest inquiry.

Ethereum co-founder Vitalik Buterin has also been actively discussing L1 and L2 scaling solutions. Last month, Buterin outlined a roadmap for scaling Ethereum’s L1 and L2 protocols in 2025. However, he also recently cautioned that certain L2 networks will likely fail due to weak economic models and poor execution.

These statements further fuel the debate on whether AI projects should build their sovereign chains or integrate with existing ecosystems.

Nevertheless, CZ’s timing in raising this question may suggest he is gauging market sentiment for a new AI blockchain initiative. Given Binance’s investment in AI-driven L2 solutions and the increasing interest in modular blockchain architectures, he could be testing the waters for future ventures.

The trade-offs between sovereignty, scalability, and accessibility will shape the future of AI-blockchain integration. This could make it essential for developers and investors to weigh their options carefully.

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