# VC Related Articles

HTX News Center provides the latest articles and in-depth analysis on "VC", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

The Changing Landscape: What Are Crypto VCs Experiencing?

Title: The Shifting Landscape of Crypto Venture Capital The era of dedicated crypto venture capital funds is undergoing a significant transformation. Once essential for navigating the sector's complexity and high risk, these specialized funds are now facing an identity crisis as the market matures. This shift mirrors historical patterns in other specialized investment classes like cleantech and SPACs, where initial information advantages dissipate as technologies become mainstream and integrated into existing industry frameworks. The article argues that crypto is reaching a critical inflection point, transitioning from a "building phase" to an "integration phase." Major players like Stripe, BlackRock, and Visa now engage with crypto not for its novel mechanics but as a foundational financial infrastructure. Their needs—regulatory compliance, banking partnerships, distribution channels—align with traditional fintech, a domain easily understood by large, generalist funds like Sequoia and Founders Fund. This evolution creates a "barbell effect" within the VC landscape. On one end are massive, diversified platforms that can incorporate crypto as one vertical among many. On the other are small, nimble funds focused on niche, experimental projects. The middle ground—medium-sized dedicated crypto funds—is being squeezed out. Their typical fund size makes it impossible to generate sufficient returns solely from early-stage crypto bets, yet they cannot compete with giants for later-stage deals. Consequently, leading crypto-native firms like Paradigm and Framework Ventures are expanding into AI, robotics, and other sectors, driven partly by LP pressure for better returns amid a broader VC DPI crisis. Others, like Dragonfly and a16z, have narrowed their crypto focus predominantly to financial infrastructure like stablecoins, reframing the sector's core narrative. For crypto entrepreneurs, this consolidation presents challenges. While generalist funds offer larger checks and broader resources, crypto projects now compete fiercely with AI for attention and capital within these firms. Furthermore, the long-term, non-commercial foundational work that built the ecosystem—funded by dedicated crypto VCs—is less likely to attract generalist capital focused on direct returns. The conclusion is that "crypto investor" as a standalone category is becoming obsolete, akin to "internet investor." Crypto is becoming a baseline infrastructure layer. The future will see a barbell structure: large-scale growth financing handled by generalist funds, while pioneering, speculative projects are funded by small, specialized vehicles. The dedicated crypto funds of the 2017-2021 boom, which incubated core infrastructure, are giving way to this new, bifurcated reality.

Foresight News07/22 04:02

The Changing Landscape: What Are Crypto VCs Experiencing?

Foresight News07/22 04:02

Dialogue with Multicoin Partner: The Crypto Market Has Bottomed Out, Favoring Three Cryptocurrencies in This Cycle

In a recent interview, Multicoin Capital managing partner Tushar Jain shared his views on the crypto market. He believes the market has bottomed and is at an inflection point, citing that negative news no longer causes significant price declines and application adoption continues to grow. Jain remains highly bullish on Solana, viewing it as the correct architectural choice for internet capital markets, particularly for spot and tokenized security trading. He is also positive on Hyperliquid, noting its leadership in decentralized derivatives trading. His investment approach focuses on concentrating capital in top convictions rather than equal allocation. A distinct opportunity he highlights is Zcash (ZEC), which he sees as a return to the industry's cypherpunk ethos and a potential top-five asset by market cap. For assets like Zcash without cash flows, his valuation framework is based on relative market cap ranking. Regarding investment strategy, Jain employs a "three-part" entry method to avoid timing pitfalls and emphasizes long-term "active management" over "active trading." He outlines four sources of investment edge: informational, analytical, behavioral/psychological, and structural. On portfolio management, the fund uses Bitcoin as its "cash," selling assets into Bitcoin during market euphoria to reduce beta risk and using Bitcoin to buy dips. Sales occur only if a better opportunity arises, the investment thesis breaks, or valuations become excessively overheated. While respectful of Ethereum's resilience, he questions its unclear scaling roadmap. Finally, Jain reaffirms his commitment to the thesis that blockchains will form the foundational architecture for future capital markets.

marsbit07/12 02:06

Dialogue with Multicoin Partner: The Crypto Market Has Bottomed Out, Favoring Three Cryptocurrencies in This Cycle

marsbit07/12 02:06

In the First Half of the Year, Half of VC Money Flowed to AI, with These 30 Companies Alone Raising Over 170 Billion Yuan

First Half of 2026: VC Investment in AI Explodes, with 30 Top Companies Raising Over 170 Billion RMB In the first half of 2026, China's AI sector saw a massive surge in venture capital, with total equity financing exceeding 300 billion RMB—already surpassing the entire 2025 total. Key trends include: * **Massive Funding Scale:** The AI track recorded 1,203 financing events totaling over 300 billion RMB. Investment peaked in June, partly driven by DeepSeek's landmark 51-billion-RMB Series A round. * **Geographic Concentration:** Beijing, Hangzhou, Shanghai, and Shenzhen dominated, accounting for 74% of deals and 86% of total funding. Beijing led with 95.5 billion RMB, while Hangzhou surged to second place due to DeepSeek's round. * **Sector Focus:** * **Large Models** were the top draw, securing over half of all funds (nearly 1.6 trillion RMB). * **AI Infrastructure** (compute, chips) and **Embodied AI** (e.g., robotics) were other major investment areas, with the latter being the most active in number of deals. * **AIGC Applications** attracted significant capital (59.6 billion RMB), indicating strong belief in near-term commercialization. * **Investment Stage Logic:** Capital followed a clear strategy: heavy bets on growth-stage companies (A/B rounds), major funding for mature leaders, and widespread, smaller-scale seeding of early-stage innovators. * **Notable Early-Stage Trends:** World models (seen as the "OS" for embodied AI) attracted the most early capital. Angel/seed rounds reached unprecedented sizes ("inflation"), and investment shifted from foundational large models to downstream applications like robotics and physical AGI. * **Top Companies:** The 20 largest mid/late-stage deals raised 1.565 trillion RMB. Leaders include the "Big Three" large model firms (DeepSeek, StepFun, Kimi), seven leading humanoid robot companies ("Seven Samurai"), and top AIGC application players. * **Outlook:** Full-year 2026 funding is projected to exceed 6 trillion RMB. However, consolidation is expected in the large model sector, with the window for pure-play general AI startups closing. Survival will depend on finding niche verticals or securing strategic backing.

marsbit07/03 09:01

In the First Half of the Year, Half of VC Money Flowed to AI, with These 30 Companies Alone Raising Over 170 Billion Yuan

marsbit07/03 09:01

Dialogue with KK, Founder of Hash Global: Do VCs Still Invest in Blockchain Games Now? What Kind of Projects Can Still Get Funding?

**Title: Dialogue with KK, Founder of Hash Global: Do VCs Still Invest in Blockchain Games? What Kind of Projects Can Still Get Funding?** **Summary:** KK, partner at Hash Global, discussed the evolving landscape of Web3 investment and blockchain games in a recent interview. He noted that the industry has moved past its initial hype phase into a more sober "second half," where VCs now prioritize core questions: Is the game actually fun? Does it have real users? Can it generate revenue? Key insights include: * **Web3 Investment Evolution:** The sector is increasingly adopting traditional investment logic, focusing on business models, value capture, and tangible worth over pure narrative. * **Blockchain Game Fundamentals:** The paramount criterion for any game is being genuinely fun and engaging. Web3 elements (like asset issuance and value distribution) should enhance an already solid product, not be a substitute for poor gameplay. Play-to-Earn is seen as a potential final stage, not a starting point. * **Current Investment Thesis:** Hash Global remains active in gaming, favoring projects with low barriers to entry, strong social/competitive elements, and the ability to generate real revenue (e.g., through ads, skins) like traditional Web2 games before scaling. Essential criteria are: 1) A fun core loop understandable without Web3 knowledge, 2) Web3 mechanisms that genuinely improve asset distribution and community participation, and 3) A capable, long-term-focused team with proven product-building experience. * **Team Focus:** The firm concentrates on investing in Chinese teams, leveraging cultural familiarity and judgment. * **Web3 Application Outlook:** Large-scale adoption may be accelerated by AI in areas with significant pain points in distribution (e.g., creator economy) or in "Non-Financial RWA" sectors like entertainment/culture. * **BNB Ecosystem:** Hash Global is bullish on BNB, viewing its ecosystem as significantly undervalued, with real users and global capital access. * **Investor Advice:** In the current bear market, KK expresses respect for new institutional investors entering Web3, as it indicates deep research rather than hype-chasing. A key lesson is managing pace—maintaining optimism tempered with realism to ensure longevity.

marsbit06/22 09:16

Dialogue with KK, Founder of Hash Global: Do VCs Still Invest in Blockchain Games Now? What Kind of Projects Can Still Get Funding?

marsbit06/22 09:16

Blockchain has finally begun sailing toward the main channel after 18 years

After 18 years of development, blockchain technology is beginning to move from a specialized niche into mainstream adoption, according to a recent industry analysis. The shift is reflected in the changing strategies of major crypto venture capital firms, which are expanding their focus beyond pure "digital ownership" towards broader themes like "autonomy." The report highlights that leading VC firms like Variant, Paradigm, Haun Ventures, and YZi Labs are broadening their investment mandates to include not only crypto but also artificial intelligence (AI), robotics, biotech, and other frontier technologies. This reflects a recognition that the isolated "crypto investment" narrative is losing appeal to limited partners (LPs) as capital and attention increasingly flow toward AI and other high-growth tech sectors. A key emerging thesis is that blockchain's most significant future application may not be as a consumer-facing product, but as the underlying economic and settlement infrastructure for the AI era. As AI agents and autonomous systems become more prevalent, they will require programmable, global, and low-cost payment networks (like stablecoins), verifiable digital identities, and secure wallets to manage transactions and assets on behalf of users. The investment by stablecoin issuer Tether into robotics company NEURA, with plans to integrate its wallet technology, is cited as a prime example of this convergence. However, the article cautions that simply labeling projects as "AI + Crypto" is insufficient. True value lies in integrations where blockchain technology is essential—such as enabling machine-to-machine micropayments, verifiable data provenance for AI, or transparent governance for autonomous organizations—rather than being a superficial marketing add-on. In conclusion, while AI currently dominates the tech narrative and capital flows, it may ultimately create the real-world, high-frequency demand that the crypto industry has long sought. For crypto VCs and projects, the path forward is to position blockchain not as a competing sector, but as a critical foundational layer powering autonomy and economic activity in an AI-driven future.

链捕手06/15 10:04

Blockchain has finally begun sailing toward the main channel after 18 years

链捕手06/15 10:04

Three Months, 35 Billion Yuan: Investors Rush to Grab the OpenAI of the Physical World

Investors flock to a physical AI startup as the race for the "OpenAI of the physical world" heats up. Ji Jia Shi Jie (GigaWorld), a company dedicated to developing Artificial General Intelligence (AGI) for the physical world, has raised 3.5 billion RMB (approximately $490 million) in just three months, according to a report from investment media outlet Touzijie. The latest B2 funding round of 1 billion RMB attracted a wide range of top-tier investors, including sovereign wealth funds, industrial capital, and financial institutions. This brings the total funding for the young company, now valued over 10 billion RMB, to 3.5 billion RMB across three recent rounds. The company is led by Huang Guan, a post-90s Tsinghua University PhD with extensive experience in AI, autonomous driving, and entrepreneurship. Its core innovation is a "dual-pyramid" system comprising a five-layer data pyramid (from internet videos to real-world robot data) and a three-layer algorithm pyramid focused on world simulation, action alignment, and reinforcement learning. This system underpins its key models: the "World Action Model" (e.g., GigaBrain series for robot control) and the "World Generation Model" (e.g., GigaWorld series for simulating and understanding the physical world). Its models have reportedly achieved top rankings in global robotics benchmarks. Ji Jia Shi Jie argues that while current digital AGI excels in information processing, the next frontier is physical AGI—systems that can understand and interact with the real world. The company believes the field is approaching its "GPT-3 moment," a key inflection point in capability scaling. To achieve this, the company is pursuing a dual-market strategy. For the consumer (C) market, it launched the "SeeLight" brand and its S1 general-purpose humanoid robot, which has secured initial orders for deployment in real homes. For the business (B) market, it focuses on industrial automation with its Maker series robots, having signed agreements for large-scale deployment in factories, and its DriveDreamer world model for autonomous driving, which is already in use with over 30 automakers and tech companies. The report concludes that by bridging the gap between digital intelligence and physical action, Ji Jia Shi Jie aims to unlock a new wave of productivity, ultimately bringing physical AGI into everyday life.

marsbit06/15 01:30

Three Months, 35 Billion Yuan: Investors Rush to Grab the OpenAI of the Physical World

marsbit06/15 01:30

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