XRP, HBAR, And Litecoin: Pundit Highlights Coins To Watch In 2026

bitcoinist2026-01-27 tarihinde yayınlandı2026-01-27 tarihinde güncellendi

Özet

Discussions continue on which cryptocurrencies might outperform Bitcoin by 2026. According to crypto commentator X Finance Bull, XRP, HBAR, and Litecoin are key coins to watch. XRP and Hedera (HBAR) are highlighted for their growing role in financial infrastructure, moving beyond speculation to become foundational blockchain networks. Litecoin is noted for its optional privacy features, placing it in the underappreciated privacy-assets category alongside Monero. The commentary also points to XRP Ledger's low, predictable fees and deflationary token burn as advantages for institutional adoption. Other important themes for 2026 include tokenization platforms, with Ethereum and Solana leading, and the expanding stablecoin market.

Discussions are still rampant about which cryptocurrencies could outperform Bitcoin as the entire industry looks ahead to what 2026 has to offer. According to a recent commentary on X, X Finance Bull noted that XRP, HBAR, and Litecoin are a few cryptocurrencies that can outpace Bitcoin.

The crypto commentator pushed back against claims that XRP and Hedera have lost relevance, arguing instead that both are increasingly positioned as foundational blockchain infrastructure. These are based on recent events that have seen both the XRP Ledger and Hedera leading crypto enterprise infrastructure.

XRP, HBAR, And Litecoin Are Coins To Watch In 2026

According to the commentary shared by X Finance Bull, XRP, Hedera, and Litecoin are a few of the top cryptocurrency ecosystems to watch in 2026. Notably, the crypto commentator grouped XRP and Hedera (HBAR) in the same group to watch due to their growing presence in financial infrastructure. This means these two cryptocurrencies are increasingly leaving the realm of pure speculative assets and are now being considered as important players in financial rails.

Based on this, investors can expect upside divergence from Bitcoin in 2026 as these coins start to go on bullish momentum on their own. This view is based on the investor outlook shown in the image below, which identifies financial infrastructure as an important area of focus for 2026. XRP and HBAR anchor the infrastructure structure, while Litecoin is in the privacy-assets category.

Litecoin’s optional privacy features place it alongside established privacy-focused networks like Monero and Canton. As it stands, you can easily argue that privacy assets are currently underappreciated, especially now that regulatory clarity and digital payments growth are bringing attention to data protection. Based on this context, Litecoin is another top coin to look forward to upside divergence from Bitcoin in 2026.

Interestingly, tokenization platforms and stablecoins are other important themes for 2026. Ethereum and Solana are the primary networks for tokenized assets, while newer platforms such as Sui, Sei, and Injective are beginning to see higher adoption. At the same time, stablecoin supply has grown to over $300 billion, with USDT, USDC, USDE, and RLUSD expanding due to maturing payments infrastructure around stablecoins.

XRP Ledger’s Institutional Appeal

X Finance Bull supported his XRP outlook in a separate post by pointing to the XRP Ledger’s cost structure. The Ledger charges just 0.00001 XRP per transaction, and this places total daily fees across the entire network at around 650 XRP. Furthermore, the Ledger has maintained low and predictable fees since 2012, even during periods of heavy activity, which is in contrast to Ethereum’s variable gas fees and Bitcoin’s congestion pricing.

All transaction fees generated by the Ledger are permanently burned, and this adds a deflationary element to the network. According to the crypto commentator, this combination of speed, low cost, and reliability is what makes its infrastructure the best for long-term institutional use.

XRP trading at $1.88 on the 1D chart | Source: XRPUSDT on Tradingview.com

Trend Kriptolar

İlgili Sorular

QAccording to the article, which three cryptocurrencies does the pundit highlight as ones to watch in 2026?

AThe pundit highlights XRP, HBAR (Hedera), and Litecoin as the top cryptocurrencies to watch in 2026.

QWhat is the primary reason XRP and HBAR are grouped together as important assets for the future?

AXRP and HBAR are grouped together due to their growing presence and role as foundational blockchain infrastructure, particularly in financial infrastructure, moving beyond pure speculative assets.

QWhy is Litecoin considered a coin to watch, and what category is it placed in?

ALitecoin is considered a coin to watch due to its optional privacy features, which place it in the privacy-assets category alongside networks like Monero. It is seen as underappreciated in the context of growing regulatory clarity and digital payments.

QWhat does the article cite as a key feature of the XRP Ledger that makes it appealing for institutional use?

AThe article cites the XRP Ledger's extremely low and predictable transaction cost of 0.00001 XRP per transaction, its reliability even during heavy activity, and its deflationary fee-burning mechanism as key features for long-term institutional use.

QBesides the three main coins, what are two other important themes for 2026 mentioned in the commentary?

AThe two other important themes for 2026 are tokenization platforms, with Ethereum and Solana as primary networks, and the growth of stablecoins, whose supply has surpassed $300 billion.

İlgili Okumalar

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

Pete Florence, a former senior research scientist at Google DeepMind and a key contributor to the Vision-Language-Action (VLA) model architecture, is deliberately distancing his startup, Generalist AI, from the trendy "world model" label. He argues that the industry should prioritize concrete goals over buzzwords. His goal is to create robots that can perform a vast range of unseen tasks with high speed and success rates, without needing task-specific training data. Recently, his company raised $400 million (¥2.7 billion) at a $2 billion valuation. Notable investors include NVIDIA's NVentures, Bezos Expeditions, NFDG, as well as Xiaomi co-founder Lin Bin, Zoom founder Eric Yuan, and renowned AI scientist Fei-Fei Li. Florence's approach stems from his academic background at MIT under Professor Russ Tedrake, focusing on understanding the physical world. After joining DeepMind, he developed models like Transporter Network and co-created the VLA framework. He left in 2025 to found Generalist AI. The company has launched two models: GEN-0, which demonstrated that scaling laws apply to physical motion, and GEN-1. GEN-1 was trained on over 500,000 hours of physical interaction data collected via a specialized wearable device. It achieves a 99% success rate on precise mechanical tasks like folding boxes and maintains performance three times faster than its predecessor. Florence believes GEN-1 is reaching a commercial utility threshold similar to the GPT-3 inflection point. The substantial funding round, following GEN-1's release, signifies strong investor confidence in Generalist AI's practical, goal-driven path to creating versatile, useful robots, regardless of the "world model" terminology.

marsbit8 dk önce

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

marsbit8 dk önce

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source. The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper. Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace. This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.

marsbit2 saat önce

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

marsbit2 saat önce

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

Beyond the familiar performance charts like MMLU-Pro and MMMU, which major AI models strive to ace, stands a key "examiner": Chinese-Canadian researcher Wenhu Chen. An assistant professor at the University of Waterloo and founder of TIGERLab, Chen addresses the crucial need for more rigorous AI evaluation. As models like GPT-4 began scoring near-perfect results on older benchmarks like MMLU, it became difficult to distinguish their true capabilities. In response, Chen introduced MMLU-Pro in 2024, featuring harder, more reasoning-focused questions with more answer choices, successfully reintroducing meaningful performance gaps. His work extends to multi-modal evaluation with MMMU and its enhanced version, MMMU-Pro. These benchmarks test a model's ability to understand and reason with complex information from images, charts, and text across diverse academic subjects, exposing the significant challenges even top models face in genuine comprehension. Chen's background in complex QA, table reasoning, and his experience at Google DeepMind on projects like Gemini inform his approach. He understands that effective benchmarks must anticipate how models might "cheat" by memorizing data or avoiding visual analysis. His lab also actively researches video understanding and generation models (e.g., UniVideo, Vamba), ensuring his evaluation work is grounded in practical model-building challenges. Now at Meta's Super Intelligence Lab, Chen continues his focus on multi-modal data and evaluation, representing the deep yet often unseen contributions of Chinese talent in shaping the fundamental tools of the AI industry.

marsbit2 saat önce

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

marsbit2 saat önce

Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion

Alliance Co-founder's Letter to Entrepreneurs: On Cursor's $60 Billion Sale Many aspiring founders see massive exits like Cursor's $60B sale and wonder why they can't achieve the same, often concluding opportunities are exhausted. But great companies aren't built in obvious, crowded spaces. Cursor, like Stripe, Figma, and Shopify before it, started with a non-consensus belief about the future. Before ChatGPT, they believed AI would transform knowledge work. They focused on a genuinely exciting domain, became their own customer, and obsessed over power users. Their journey involved years of "glass-chewing" effort before the market was ready. The pattern is consistent: identify a long-term technological shift, find a missed entry point, and execute for years before the trend becomes obvious. First-generation products (PayPal, Adobe, Amazon) prove a market exists. Second-generation winners (Stripe, Figma, Shopify) rebuild that market around new insights, technology, or changing customer behaviors. Founders must identify their phase in the cycle. Early entrants like Coinbase or Cursor focus on making new technology usable for power users. Later entrants find the "yin" to the established "yang"—the blind spots incumbents miss as they grow distant from individual users. The key is deep market immersion. Use every product in your space. Talk to users. Build an audience. Stop looking for ideas and start *seeing* them everywhere. Then, choose one. The idea must offer a 10x improvement or solve a "hair-on-fire" pain point—something severe enough that users are already crafting workarounds. When building, avoid feature bloat. Ask: why would someone switch? Great startups rarely force new behaviors; they improve familiar workflows with drastically lower friction (e.g., Cursor forked VS Code instead of creating a new editor). Distribution is the underestimated moat. Before product-market fit, achieve distribution-market fit. How do customers discover new tools? Founders like those at Airbnb, Stripe, and Cursor did unscalable, manual work to recruit early users. The final, unteachable ingredient is resilience. Cursor built for years pre-market, faced rejection, and persisted. So did Airbnb, Nvidia, and Rain (which launched post-FTX collapse). The lesson isn't that these founders were smarter, but that they stayed in the game long enough for their insights to compound. Framework: Spot technological cycles. Cultivate unique insight. Obsess over your market. Talk to customers. Find a hair-on-fire problem. Build the simplest wedge. Win your distribution channel. Above all, don't quit when it gets hard. Most people won't do these things consistently. The few who do build the next generation of great companies. Go build.

marsbit2 saat önce

Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion

marsbit2 saat önce

İşlemler

Spot
Futures

Popüler Makaleler

HBAR Nasıl Satın Alınır

HTX.com’a hoş geldiniz! Hedera Hashgraph (HBAR) satın alma işlemlerini basit ve kullanışlı bir hâle getirdik. Adım adım açıkladığımız rehberimizi takip ederek kripto yolculuğunuza başlayın. 1. Adım: HTX Hesabınızı OluşturunHTX'te ücretsiz bir hesap açmak için e-posta adresinizi veya telefon numaranızı kullanın. Sorunsuzca kaydolun ve tüm özelliklerin kilidini açın. Hesabımı Aç2. Adım: Kripto Satın Al Bölümüne Gidin ve Ödeme Yönteminizi SeçinKredi/Banka Kartı: Visa veya Mastercard'ınızı kullanarak anında Hedera Hashgraph (HBAR) satın alın.Bakiye: Sorunsuz bir şekilde işlem yapmak için HTX hesap bakiyenizdeki fonları kullanın.Üçüncü Taraflar: Kullanımı kolaylaştırmak için Google Pay ve Apple Pay gibi popüler ödeme yöntemlerini ekledik.P2P: HTX'teki diğer kullanıcılarla doğrudan işlem yapın.Borsa Dışı (OTC): Yatırımcılar için kişiye özel hizmetler ve rekabetçi döviz kurları sunuyoruz.3. Adım: Hedera Hashgraph (HBAR) Varlıklarınızı SaklayınHedera Hashgraph (HBAR) satın aldıktan sonra HTX hesabınızda saklayın. Alternatif olarak, blok zinciri transferi yoluyla başka bir yere gönderebilir veya diğer kripto para birimlerini takas etmek için kullanabilirsiniz.4. Adım: Hedera Hashgraph (HBAR) Varlıklarınızla İşlem YapınHTX'in spot piyasasında Hedera Hashgraph (HBAR) ile kolayca işlemler yapın.Hesabınıza erişin, işlem çiftinizi seçin, işlemlerinizi gerçekleştirin ve gerçek zamanlı olarak izleyin. Hem yeni başlayanlar hem de deneyimli yatırımcılar için kullanıcı dostu bir deneyim sunuyoruz.

319 Toplam GörüntülenmeYayınlanma 2024.12.11Güncellenme 2026.06.02

HBAR Nasıl Satın Alınır

Tartışmalar

HTX Topluluğuna hoş geldiniz. Burada, en son platform gelişmeleri hakkında bilgi sahibi olabilir ve profesyonel piyasa görüşlerine erişebilirsiniz. Kullanıcıların HBAR (HBAR) fiyatı hakkındaki görüşleri aşağıda sunulmaktadır.

活动图片