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financing

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first_img Bitcoin yield platform HoneyB has completed a $5 million seed round financing, with a valuation of $30 million

The developer of the Bitcoin yield platform HoneyB, Nectar Group, has completed a $5 million seed round financing, led by Portal Ventures, with participation from Peer Venture Partners, Anchorage Digital Ventures, an unnamed family office, and angel investors. Co-founder and CEO Josh Gordon stated that this round of financing uses a Simple Agreement for Future Equity (SAFE) plus a one-to-one token warrant structure, with a post-investment valuation of $30 million, and none of the investors received board seats or advisory positions.HoneyB aims to help Bitcoin holders earn yields on their holdings. In its first strategy, users borrow stablecoins using Bitcoin as collateral and then invest them in yield strategies involving U.S. Treasuries, fixed income, credit, gold, volatility, and options. The Bitcoin collateral can be held through on-chain smart contracts or by a tripartite arrangement consisting of borrowers, lenders, and custodians, with Anchorage Digital and BitGo providing custody services. HoneyB has also deployed infrastructure on Ethereum, Sui, Solana, and Arch Network. Gordon stated that the underlying investment products target an annualized return of about 10%, and HoneyB aims to provide users with an annualized return of about 2% to 4% on their Bitcoin holdings after deducting borrowing costs and fees.The first strategy will use a fund under Simplify Asset Management, which manages approximately $13.5 billion in assets, with Alphaledger responsible for managing and tokenizing the fund, and Amber Capital SPC as the issuer. Gordon named Bitwise, Lombard, Solv, and Sentora as competing platforms, noting that HoneyB's differentiation lies in integrating custody, lending, and investment services on the same platform, allowing institutional partners to offer their products under their own brand. HoneyB plans to launch in the fourth quarter of 2026, with its first product aimed at institutional investors outside the U.S., followed by plans to launch institutional products in the U.S. and retail products expected in the first quarter of 2027. Its business model involves charging a platform fee on deployed funds, and this round of funding will be used for product development, custody and financing integration, legal compliance, and distribution. Nectar was established in October last year and currently has more than 12 employees.

first_img Kerman Kohli: The bottleneck of computing power financing lies in credit

Cryptocurrency researcher Kerman Kohli published "Compute Financing" on Substack on October 19, 2026, discussing financing for computing power construction. He believes one of the main bottlenecks is capital, especially credit: early expenditures mainly come from balance sheet cash, followed by a shift to equity financing. The article cites Alphabet's $85 billion financing and Meta's fundraising through shareholder dilution, with the next step being the credit market.Kohli summarizes the current beliefs of creditors into three points, which he believes are incompatible: AI may be a bubble; the biggest risk is counterparty risk in purchase contracts; the underlying GPUs are not valuable and depreciate like ordinary hardware. He argues that demand is closer to infinite, stating that the demand for agentic AI is growing by about 2.5 to 5 times each year, with supply potentially doubling by the end of 2030. Memory is expected to sell out by 2027, with computing power commitments reaching trillions of dollars, and he mentions Jane Street's multi-billion dollar commitments, as well as the needs of pharmaceutical companies, research, military, and cybersecurity.Regarding efficiency, he states that when the cost of intelligence drops by 90%, the increase in usage is even greater, with a baseline exceeding 10 times, and he cites Jevons' Paradox.On the topic of purchasing, Kohli believes that computing power is more substitutable than real estate; when demand is strong, if someone withdraws their commitment, others will take over. He mentions that many creditors require 2 to 3 year contracts and down payments of 20% to 30%, sometimes as high as 50%, and locking in long-term discount contracts effectively shorts computing power for lenders. The article also states that computing power rental prices have risen by about 50% in the past 6 months and about 100% in the past year, with B300 supplies being tight. Regarding collateral, he notes that the A100 from 2020 is still operational and rented out until 2029, leading him to believe it has at least about 9 years of use value; the current price of B200 is about 50% higher than when it was released about two years ago, and a 6-year-old A100 is still worth about 25% of its value. He concludes that computing power will surpass real estate to become the largest asset class, and the scale of credit-supported computing power is currently just beginning.

DeepSeek's new model adds to financing concerns, Asian chip stocks drop over 2%

According to Bloomberg, Asian semiconductor stocks continued to weaken on Monday. The Bloomberg Asia Chip Index fell more than 2%, reaching its lowest level since July, with TSMC, SK Hynix, and Advantest being the main drags. The Korea Composite Stock Price Index recorded its largest weekly decline since October 2008 last week, dropping more than 3% at one point on Monday before recovering some ground; the Nikkei 225 index fell 2.3% at one point, and the Taiwan Weighted Index dropped 2%.Market concerns stem from two aspects. First, the pressure on financing for AI infrastructure in the United States continues to ferment, with CoreWeave's financing capabilities being questioned and the IPO expectations for Anthropic and Nscale cooling. Second, Chinese AI company DeepSeek released a new model update over the weekend, claiming faster operation speeds and lower resource consumption, raising concerns about the potential decrease in storage capacity required for AI models and the possible impact on chip demand.Kang DaeKwun, CEO of Life Asset Management, stated that the market uncertainty is too high, making it difficult to determine when the Korean stock market will bottom out. Financing for U.S. corporate AI projects is one of the main risks, and the profitability of Korean chip companies still heavily relies on continuous investment in AI infrastructure by U.S. companies. This week, the earnings reports from tech giants like Meta and Tesla will be an important window to observe the growth momentum of AI capital expenditures.
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