# Сопутствующие статьи по теме User Growth

Новостной центр HTX предлагает последние статьи и углубленный анализ по "User Growth", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Solana’s Network User Base Expands With Rapid Rise in Returning Participants

Despite a prolonged price decline that tested the $60 level, the Solana network shows no signs of slowing down. Recent data reveals significant growth in its user base, driven by a rapid increase in returning participants. Over 1.7 million users are returning to the network daily, reaching the highest level since February, which is seen as a key indicator of long-term health and user confidence. Furthermore, Solana is outperforming Ethereum in key metrics. Over the past week, Solana processed nearly double the perpetual futures volume and more than double the DEX aggregator volume compared to Ethereum. This growing disparity leads some analysts to believe Solana could lead the next wave in finance. Currently, SOL is trading around $65, showing a slight price increase.

bitcoinist14 ч. назад

Solana’s Network User Base Expands With Rapid Rise in Returning Participants

bitcoinist14 ч. назад

Chatbot has been burning money for three years, is it still the 'New Continent' of the AI era?

For years, the AI industry has been guided by a singular "map" — the belief that the AI era's "new continent" would be found in the Chatbot, a super-app akin to the mobile internet's super-apps. This belief was fueled by ChatGPT's explosive 2022 debut. However, three years of heavy investment reveal a different reality: the Chatbot-as-ultimate-entry-point model is struggling. The core issue is economic. Chatbots defy traditional internet economics. Unlike apps with near-zero marginal cost, each AI query consumes significant, expensive compute. More users mean higher costs, not profits. OpenAI, despite ~900M weekly active users, reportedly loses money. The expected network effects and data flywheels that power internet giants are weak in Chatbots, as one user's interactions don't improve another's experience. Monetization is a major hurdle. The subscription model faces low conversion rates, especially in China where users expect AI to be free. The "free + ads" model also struggles. Chatbot interactions often lack commercial intent, and inserting ads compromises the trust essential for an answer engine. Perplexity's minimal ad revenue and subsequent pivot away from ads highlight this difficulty. Switching between Chatbots is easy, making user loyalty low and competition a potential race to the bottom on price. Data suggests the standalone Chatbot's growth is slowing, and user engagement (avg. ~6 mins/day) pales compared to apps like TikTok. The product form itself is limiting; studies show nearly half of interactions are simple Q&A, trapping AI's potential in a passive, single-turn "cage." A contrasting, more successful path is emerging, exemplified by Anthropic. With over 85% of its ~$30B annualized revenue from enterprises, it focuses on AI as a productivity tool, not a companion. The rise of AI Agents (like OpenClaw) and the integration of AI into existing workflows (e.g., Google's AI Overviews, Apple Intelligence in OS) signal a shift. The future may not be a dominant Chatbot app, but AI embedded seamlessly into social apps, operating systems, and hardware — a capability-layer revolution, not a new distribution container. The conclusion is clear: the old "map" centered on a standalone Chatbot super-app is leading to a dead end. To find the true valuable "continent" of the AI era, the industry must update its navigation to prioritize deep integration, practical utility, and sustainable economics over a generic conversation window.

marsbit06/02 10:35

Chatbot has been burning money for three years, is it still the 'New Continent' of the AI era?

marsbit06/02 10:35

Gate Institute: Polymarket Accelerates Growth, Gate Launches New Portal to Prediction Markets

Gate Research Institute: Polymarket Growth Accelerates, Gate Expands into Prediction Markets with New Portal This analysis examines the growth of the prediction market platform Polymarket, which has evolved from an early experiment into a major event-driven trading venue. Data shows a significant, step-like increase in trading volume and active users, though growth remains heavily tied to major political, sports, and geopolitical events. Fee and revenue growth is driven by both genuine trading demand and recent changes to platform fee structures. Polymarket's market structure is highly concentrated, with over 90% of volume in these few high-profile categories. While it functions as both an information and sentiment market, its price discovery is most active during high-attention news cycles. The platform's core value lies in creating a liquid market for trading the outcome of future events, a unique niche within crypto. Gate's recent integration of Polymarket addresses different challenges. It simplifies access by allowing users to trade with exchange-held USDT, lowering friction for its existing user base. This highlights two emerging pathways for prediction markets: Polymarket's native, on-chain model versus Gate's centralized, low-friction account integration. Both paths will likely coexist, targeting different user segments. Key challenges for Polymarket include ongoing regulatory uncertainty, reliance on cyclical event-driven demand, potential oracle or settlement disputes, and achieving sustainable user retention beyond peak event periods. The platform has proven its commercial viability and ability to scale but has yet to demonstrate it can become a stable, everyday trading category independent of major news cycles.

marsbit05/09 02:07

Gate Institute: Polymarket Accelerates Growth, Gate Launches New Portal to Prediction Markets

marsbit05/09 02:07

The Paradox of Moltbook: The More the Token Price Stagnates, the More Users Surge

Despite the $Molt token price remaining low, the Moltbook platform has surpassed 2.6 million registered Agents and continues to grow rapidly. This indicates a shift away from meme-driven token speculation in the AI Agent economy. Unlike previous cycles where narratives were driven solely by token price surges and collapses, Moltbook demonstrates organic, value-based growth. Users are actively deploying Agents that engage in social interaction, task execution, decentralized governance, and micro-payments via the x402 protocol. A self-sustaining economic ecosystem is emerging, where Agents create value, collaborate, and earn rewards—independent of token speculation. This marks the beginning of a truly productive, platform-driven Agentic Economy.

marsbit02/13 10:52

The Paradox of Moltbook: The More the Token Price Stagnates, the More Users Surge

marsbit02/13 10:52

How to Make Web3 Products Inherently Viral? Four Years of User Growth Lessons from an Entrepreneur

The author, a Web3 founder with four years of experience, shares seven key lessons learned from building consumer-facing crypto products after previously working on failed infrastructure projects. Key insights include: 1. Target younger users (ages 13-21) who are more open to adopting new technologies. 2. Design products with built-in virality to reduce marketing costs, as crypto users expect incentives and trust is low. 3. Implement user-requested features quickly (within 2-3 days) to build trust and prevent churn to competitors. 4. Choose simple, memorable product names for easier word-of-mouth sharing. 5. Engage with users directly through cold DMs despite low response rates, focusing on acquiring 10-20 dedicated early users. 6. Iterate rapidly based on user behavior rather than just feedback, prioritizing what they actually pay for. 7. Simplify websites and onboarding to minimize cognitive load and clicks, ensuring the core value is immediately apparent. The author emphasizes that speed, user-centric design, and marketing are more critical than technical perfection in consumer crypto.

比推12/30 15:16

How to Make Web3 Products Inherently Viral? Four Years of User Growth Lessons from an Entrepreneur

比推12/30 15:16

After 500 Rejections, I Started Building Products That People Actually Use

After 500 rejections and years of failed infrastructure projects in crypto, the author shifted focus to building consumer-facing products that people actually use and pay for. Key lessons from transitioning to Solana and launching a consumer app include: Target younger users (ages 13-21) who are more open to adopting new technologies and sharing them socially. Design products that are inherently shareable to reduce marketing costs, as organic virality is critical in a low-trust, high-cost acquisition environment. Prioritize rapid user feedback—fix bugs within hours and implement requested features in days to build trust and habit formation. Choose simple, memorable app names to ease word-of-mouth sharing. Engage users directly through cold DMs (despite low reply rates) to gather honest feedback and build early supporter communities. Iterate quickly—observe user behavior rather than relying solely on feedback, and be willing to pivot radically. Simplify onboarding and avoid assumptions about user knowledge; make the product intuitive within seconds. Ultimately, speed, user-centricity, and distribution matter more than technical perfection in consumer crypto.

marsbit12/30 06:40

After 500 Rejections, I Started Building Products That People Actually Use

marsbit12/30 06:40

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