Financing Weekly Report | 4 Public Financing Events, RWA Fixed Income Market Haven Completes Seed Round at $30 Million Valuation, Candaq and Others Participate

marsbitPublished on 2026-01-05Last updated on 2026-01-05

Abstract

Financing Weekly Report: 4 Public Funding Events, Haven's $30M Valuation Seed Round Leads the Week According to PANews statistics, there were 4 blockchain funding events from December 29, 2025, to January 4, 2026, with a total disclosed value of over $42.6 million. Key highlights include: * **DeFi:** RWA fixed-income market Haven completed a seed round at a $30 million valuation with participation from Candaq, Apus Capital, and others. It offers on-chain access to U.S. Treasury products. * **Web3 & AI:** AIAV, a platform merging AI and Web3, raised $4 million from investors including Animoca Brands. It focuses on decentralized AI model training and multi-character interactions. * **Other Web3 Apps:** Cryptocurrency rewards platform SocialGood Inc. raised approximately $5.63 million in its Series B round. Additionally, MMA (a mixed martial arts company) secured $3 million in a private round, with Donald Trump Jr. participating, to build a Web3 platform. The report also noted two significant AI-sector deals (Meta's multi-billion dollar acquisition of Manus and Moonshot AI's $500 million Series C at a $4.3 billion valuation) that were excluded from the main statistics.

Highlights of This Issue

According to incomplete statistics from PANews, there were 4 investment and financing events in the global blockchain sector last week (2025.12.29-2026.1.4), with a total funding amount exceeding $42.6 million. The overview is as follows:

DeFi announced 1 investment and financing event: RWA fixed income market Haven completed a seed round at a $30 million valuation, with participation from Candaq and others;
The Web3+AI track announced 1 investment and financing event: AIAV, an emerging platform integrating AI and Web3, completed a $4 million financing round, with investors including Animoca Brands;
Other Web3 applications announced 2 investment and financing events, including the cryptocurrency rewards platform SocialGood Inc., which completed approximately $5.63 million in Series B financing.

DeFi

RWA Fixed Income Market Haven Completes Seed Round at $30 Million Valuation, Candaq and Others Participate

The RWA fixed income market Haven announced the completion of a seed round at a $30 million valuation, with participation from Candaq, Apus Capital, ZC Capital, and BlockPulse Digital Asset Management. Haven aims to build a transparent and programmable on-chain RWA fixed income market by introducing traditional low-volatility, predictable yield assets to the blockchain, establishing fixed income as the foundational layer of on-chain finance. Currently, Haven has launched U.S. Treasury products, allowing users to access on-chain Treasury yields using USDT, USDC, and USD1.

AI

Web3+AI Platform AIAV Completes $4 Million Financing

AIAV, an emerging platform integrating AI and Web3, completed a $4 million financing round, with participation from Animoca Brands, DuckDAO, Castrum Capital, VistaLabs, Edimus Capital, Bedrock Ventures, Notch Ventures, Gemhead Capital, R&G Capital, and Alpha Capital. This round of funding will primarily be used for product development and ecosystem expansion.

AIAV's technological foundation includes a Decentralized Learning Framework and a Data to Value Pipeline, enabling users to truly own and train AI models in a decentralized environment and benefit from their conversational data. The project employs a paralinguistic learning model that not only understands textual content but also captures linguistic features such as tone emphasis, rhythm, and style. Additionally, it uses the x402 protocol to coordinate interactions among multiple roles, achieving a more realistic multi-role conversation experience.

Meta Acquires Butterfly Effect, Developer of AI App Manus, for Billions of Dollars

Meta has acquired Butterfly Effect, the developer of the AI application Manus, for billions of dollars. This is Meta's third-largest acquisition to date, following WhatsApp and ScaleAI. Prior to Meta acquisition, Manus was reportedly raising a new round of funding at a $2 billion valuation. Liu Yuan, a partner at ZhenFund and an angel investor in Butterfly Effect, stated that the acquisition negotiations were completed in an extremely short time, taking just over ten days. Manus and Meta Platforms (META.O) each published statements on their respective official websites announcing Manus' joining Meta, without disclosing specific transaction details.

(Not included in this week's financing statistics)

Moonshot AI (Kimi) Completes $500 Million Series C Financing at $4.3 Billion Valuation, IDG Leads with $150 Million

Moonshot AI (Kimi) has completed a $500 million Series C financing round, with a post-money valuation of $4.3 billion. IDG led the round with $150 million, while existing shareholders including Alibaba, Tencent, and Wang Huiwen oversubscribed. Wang Huiwen has cumulatively invested $70 million. CEO Yang Zhilin stated that the company's cash reserves exceed 10 billion yuan and it is not in a hurry for an IPO. Kimi is promoting membership fees through its Agent product "OK Computer," with overseas API revenue growing fourfold since November; global paid users are growing at a monthly rate of 170%. The funds will be used to expand GPU resources, accelerate K3 model training, aim to catch up with the forefront in pre-training levels, and focus on Agent commercialization.

(Not included in this week's financing statistics)

Others

Cryptocurrency Rewards Platform SocialGood Inc. Completes Approximately $5.63 Million Series B Financing

Tokyo-based cryptocurrency rewards platform SocialGood Inc. announced the completion of an 880 million yen (approximately $5.63 million) Series B financing, bringing its total funding to 2.4 billion yen ($15.35 million). This round was raised through third-party allotment (including i-nest capital Co., Ltd., etc.) and loans, totaling 880 million yen. The company plans to use the new funds to further strengthen its internal management system and governance structure. SocialGood's platform aggregates e-commerce sites such as eBay, Walmart, and Booking.com, as well as mobile games like "Rise of Kingdoms" and "Ball Sort." Users can accumulate free cryptocurrency rewards such as Bitcoin by purchasing goods or services through the platform.

MMA Completes $3 Million Private Round to Build Web3 Platform, with Participation from Trump's Eldest Son

American mixed martial arts company MMA announced the completion of a $3 million private round by issuing 4,285,714 Series A preferred shares. American Ventures LLC led the round, with participation from Donald Trump Jr., who currently serves as a strategic advisor to the company. The new funds will be used to build MMA's Web3 platform, support the development of the broader Web3 ecosystem, and accelerate platform expansion.

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The Impossible Trilemma Is Basically a Pseudo-Problem

The article argues that the core limitation of blockchain technology is not the scalability trilemma, but its fundamental lack of privacy, which acts as a barrier to institutional capital. It defines blockchain as a slow, expensive, shared computer whose primary value is "permissionlessness" (no administrator) and verifiable trust. While this is ideal for native financial assets like stable币, which now process trillions, two critical flaws remain for mainstream adoption: regulatory legitimacy and a default transparency that leaks all financial activity. The author contends that transparency is not a feature but a tax, quantified through MEV extraction, making the public ledger unusable for serious institutions. However, modern cryptography, specifically zero-knowledge proofs, now offers a solution: "provable privacy." This allows users to prove compliance (e.g., solvency, KYC) without revealing underlying data. This fusion of privacy and auditability resolves the transparency-compliant privacy-compliance dichotomy, enabling a purely upgraded system where transactions are verified but not broadcasted. Closing these flaws is presented as the essential bridge to onboard the next wave of trillions in capital.

marsbit6h ago

The Impossible Trilemma Is Basically a Pseudo-Problem

marsbit6h ago

The "Impossible Triad" Is Fundamentally a Pseudo-Problem

The article argues that blockchain's fundamental limitation is not the scalability trilemma (decentralization, scalability, security), which has been largely solved, but the lack of **privacy** and, until recently, clear **legitimacy**. Blockchain is described as a slow, expensive, globally shared computer whose core value is censorship resistance and verifiability. While ideal for native digital assets like money (e.g., stablecoins), its default transparency acts as a **tax**, exposing all transactions and enabling MEV extraction, which deters serious institutional capital. Simultaneously, its permissionless nature created regulatory ambiguity. The piece contends that **privacy** is the missing critical feature. It rejects the false choice between total transparency and complete anonymity. Modern cryptography (like zero-knowledge proofs) enables **compliant privacy**: users can prove facts (solvency, KYC status, compliance) without revealing the underlying sensitive data (specific holdings, identities). This preserves auditability for regulators and eliminates the leak of financial information. With recent regulatory progress (e.g., the GENIUS Act) addressing legitimacy, adding default, provably compliant privacy becomes a pure upgrade. It transforms blockchain from a costly, public ledger into a confidential settlement layer, finally bridging the gap to mainstream institutional and individual adoption of on-chain finance.

链捕手6h ago

The "Impossible Triad" Is Fundamentally a Pseudo-Problem

链捕手6h ago

Optical Chips: Collective Capacity Expansion

The global optical chip industry is experiencing a massive wave of expansion driven by surging AI data center demand. Major players across the US, Japan, Europe, and China are aggressively investing to ramp up production capacity. In the US, Coherent is expanding its 6-inch Indium Phosphide (InP) semiconductor fab in Texas, supported by CHIPS Act funding and a $2 billion strategic investment from NVIDIA. Lumentum is building a new factory for InP optical devices, and Nokia is scaling its advanced photonic chip packaging and testing capabilities. NVIDIA's investments aim to secure future supply of critical lasers and optical interconnect products for AI infrastructure. Japan's JX Advanced Metals, a leading InP substrate supplier, plans a multi-billion yen investment to increase its capacity 7-10 times, strengthening its grip on the crucial upstream materials market. In Europe, IQE and Tower Semiconductor settled a patent dispute and signed a multi-year InP epitaxial wafer supply agreement, highlighting that next-generation silicon photonics platforms will integrate high-performance InP components. STMicroelectronics and Sivers Semiconductors are also expanding silicon photonics production and partnerships. China is rapidly building out its domestic supply chain. Dongshan Precision's subsidiary, Source Photonics, announced a $12 billion project to expand optical chip and module production. Companies like Sanan Optoelectronics and Yunnan Germanium are scaling up InP chip manufacturing and substrate production, moving towards vertical integration from materials to modules. While debate continues around the exact future architecture—whether CPO (Co-Packaged Optics), NPO, or pluggables will dominate—analysts like Morgan Stanley argue the underlying driver is unchangeable: the explosive growth in bandwidth demand. This will inevitably increase the volume of optical engines, lasers, and related content per GPU, regardless of the final technical path. The competition for "more light" in the AI era has intensified into a global, full-chain capacity race.

marsbit8h ago

Optical Chips: Collective Capacity Expansion

marsbit8h ago

Stablecoins Finally Find Real Yield: An In-Depth Look at On-Chain Reinsurance Re | A Conversation with Re Founder Karan Saroya

Stablecoin Real Yield Found: A Deep Dive into On-Chain Reinsurance with Re's Karan Saroya As stablecoin supply exceeds $170 billion, the search for sustainable, non-speculative yield intensifies. Re, an on-chain reinsurance platform, provides an answer: connecting stablecoin capital to the trillion-dollar traditional reinsurance market. Re operates as a regulated reinsurer, accepting stablecoin deposits as collateral to back US insurance companies. These insurers pay premiums, generating yield that flows back to on-chain depositors. Currently supporting 35 insurers and underwriting $500 million, Re projects scaling to over $1 billion soon. Key insights from a Bankless podcast with founder Karan Saroya and investor Avichal of Electric Capital: 1. **Uncorrelated, Real-World Yield:** Re offers stablecoin holders access to reinsurance returns (targeting 12-14%+), an asset class entirely separate from crypto or equity markets. 2. **Operational Efficiency via Smart Contracts:** Re replaces traditional, labor-intensive capital fundraising with smart contracts, allowing a ~12-person team to compete with industry giants. 3. **Regulatory Leverage:** For every $1 of collateral, regulations allow backing $5-7 in written premiums. This leverage amplifies returns from the underlying risk-free rate. 4. **DeFi Integration:** Depositors receive receipt tokens, which can be used in protocols like Morpho for "looping," potentially pushing yields to 18-20%+. 5. **The "DeFi Mullet" Model:** A compliant front-end (regulated reinsurer) paired with a decentralized back-end (smart contracts, DeFi capital markets). 6. **RE Governance Token:** Modeled on Lloyd's of London, the token governs the central capital pool's allocation, counterparty acceptance, and parameters. 7. **Real Economic Impact:** Capital funds real-world productivity (factories, clinics, businesses) via insurance, moving beyond crypto's internal loops. The discussion highlights a pivotal moment: DeFi's supply-side infrastructure is now met by real demand for productive yield, potentially kickstarting a flywheel where vast on-chain stablecoin capital seeks these real-world returns.

链捕手9h ago

Stablecoins Finally Find Real Yield: An In-Depth Look at On-Chain Reinsurance Re | A Conversation with Re Founder Karan Saroya

链捕手9h ago

1996 or 1999? Walsh's First Test is 'How to View AI'

"1996 or 1999? Wall's First Big Test Is 'How to View AI'" Federal Reserve Chairman Wall's initial challenge is not whether to raise or cut rates, but a more fundamental judgment: what kind of boom is the current AI boom? This will determine the Fed's policy path and define his legacy. Economics is split between two opposing views, according to reporter Nick Timiraos. One sees imminent productivity gains that will increase supply and cool inflation, allowing the Fed to hold steady. The other argues that while productivity benefits are distant, demand shocks are here now, and waiting for data confirmation risks missing the intervention window, forcing sharper rate hikes later. Wall has signaled a leaning toward the first view, echoing 1996-era Alan Greenspan, who embraced strong, productivity-driven growth without fear of inflation. However, Wall faces a different macro environment than Greenspan did, with tariff pressures, expanding fiscal deficits, and diminishing globalization benefits, which could force more significant inflation pressures even if AI benefits materialize. Wall's logic, expressed before taking office, is that AI-driven productivity gains won't show in official data for years. If the Fed waits for confirmation, it might mistakenly tighten policy and choke off the very growth that could suppress inflation. This argues for using forward-looking narratives over lagging data. Chicago Fed President Austan Goolsbee presents a key counter-argument. He distinguishes between expected and unexpected productivity booms. A widely anticipated boom, like the current AI wave, can cause people to spend future wealth gains in advance, overheating the economy before productivity actually rises, thus requiring preemptive rate hikes. He cites rising costs for AI data centers as evidence of such overheating. Fed Governor Christopher Waller offers a rebuttal to Goolsbee, noting the "expected spending" mechanism only works if people can borrow against future income, which many households cannot do due to borrowing constraints. Wall also faces a paradox related to his desire to reduce the Fed's use of "forward guidance" (pre-announcing policy moves). This practice was established in 1999 when Greenspan began signaling hikes to avoid market shocks. If the economy follows a less optimistic path, Wall may be forced to choose between using the guidance he wants to abolish or risking market volatility by staying silent. The ultimate question defining Wall's first major test remains: Is this 1996 or 1999?

marsbit10h ago

1996 or 1999? Walsh's First Test is 'How to View AI'

marsbit10h ago

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What is W$C

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6.0k Total ViewsPublished 2024.04.02Updated 2026.06.02

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