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Slash Financial Raises $100M in a Series C Round at $1.4B Valuation

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Slash Financial, a business banking and payments platform, has raised $100 million in a Series C round at a $1.4 billion valuation, achieving unicorn status.

The round was led by Ribbit Capital, with Khosla Ventures and Goodwater Capital which led the prior Series B co-leading. Returning investors included New Enterprise Associates (NEA) and Y Combinator participating for the fourth time. This brings Slash’s total funding to about $160 million. The $1.4B post-money valuation is a significant increase from the ~$370M valuation in its Series B about 16 months earlier, when it raised $41M.

The company reports nearly $300 million in annualized revenue and claims to be profitable. It serves around 5,000 businesses, including fast-growing companies. Victor Cardenas and Kevin Bai, now 24-year-olds and college dropouts former Stanford students and Thiel Fellows. They started the company as teenagers. Slash provides an all-in-one business banking platform with accounts, corporate cards, treasury management, payments, and transfers.

It positions itself as a modern alternative to traditional banks and competitors like Ramp and Brex, emphasizing real-time financial visibility, automation, and tools tailored for businesses including support for crypto and stablecoins in some contexts. Alongside the funding announcement, Slash launched Twin, described as an AI-powered banking assistant. It can autonomously handle tasks like payments, invoices, expense management, and even control corporate cards on behalf of users—framed as agentic payments or letting AI agents transact independently.

The company originally focused on vertical banking for sneaker resellers and similar niches but pivoted after market disruptions including impacts tied to Kanye West’s Yeezy-related issues, which affected that ecosystem. It has since broadened into general business finance with heavy AI integration. This round reflects strong investor confidence in AI-driven fintech for corporate spend management, especially amid competition in the space.

The involvement of top-tier VCs like Ribbit, Khosla, and Goodwater highlights the bet on scalable, automated business banking tools. Valuation nearly quadrupled from ~$370M in the Series B just 16 months prior, validating rapid growth and the pivot from niche sneaker-reseller banking to a generalist AI-powered business banking platform.

Adds ~$100M (total funding now >$160M) for product development, global expansion, and accelerating AI automation. The company reports ~$300M annualized revenue, profitability, ~5,000 business customers, and strong stablecoin payment volume > $1B annualized in some reports.

Launch of Twin enables conversational finance management, autonomous tasks like payments, invoices, card control, insights, and agentic workflows. This positions Slash as more than a bank — an intelligent financial OS. Intensified competition in spend management and corporate cards directly challenges Ramp, valued much higher at ~$32B and Brex recently acquired by Capital One at a steep discount.

Slash emphasizes AI agents, stablecoin support, and real-time automation as edges against legacy banks and incumbents. Highlights investor appetite for automation in back-office finance. Reinforces a broader 2026 trend of larger, concentrated fintech deals focused on profitability + AI, amid stablecoin growth and non-bank competition. Two 24-year-old college dropouts scaling to unicorn status underscores shifting investor openness to young, adaptable teams over traditional credentials — especially after surviving a near-death pivot.

Slash’s heavy processing of stablecoin payments for businesses turns crypto infrastructure into practical, boring corporate finance tools. Positive for late-stage fintech in a selective funding environment; larger rounds are going to profitable, high-growth players integrating AI deeply.

Circle USDC Faces Class-action Suit Over its Handling of Drift Protocol Hack

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A class-action lawsuit has been filed against Circle Internet Group (issuer of USDC) over its handling of the April 1 Drift Protocol hack on Solana.

On April 1, 2026, hackers widely attributed by blockchain analytics firm Elliptic to North Korean state-sponsored actors, likely Lazarus Group exploited Drift Protocol, a Solana-based DeFi platform, draining roughly $280–285 million in user funds—mostly in USDC and other assets from trading, lending, and vaults. This ranks as one of the largest crypto exploits of 2026.

The attackers then converted and moved a significant portion—approximately $230 million in stolen USDC—from Solana to Ethereum. They did this via Circle’s own Cross-Chain Transfer Protocol (CCTP) in over 100 transactions spanning 6–8 hours during U.S. business hours. Circle did not freeze the funds during this window.
ccn.com

The lawsuit filed in U.S. District Court in Massachusetts by Gibbs Mura, A Law Group. Lead plaintiff is Drift investor Joshua McCollum, representing a proposed class of over 100 affected users. Circle had the technical and contractual ability through its USDC policies and CCTP to freeze the stolen funds but failed to act. This allegedly allowed the hackers to launder the proceeds, deepening investor losses.

Claims include negligence and aiding and abetting conversion of stolen property. Plaintiffs argue Circle’s inaction was especially glaring because it has frozen civilian wallets quickly in the past when directed by authorities. Drift Protocol itself has signaled it may abandon USDC for settlements post-hack possibly switching to USDT. Circle has consistently stated it only freezes USDC upon a valid law enforcement request or court order—not unilaterally.

CEO Jeremy Allaire and Chief Strategy Officer Dante Disparte have defended this publicly after the hack, calling unilateral action a moral quandary that could expose the company to legal risks and undermine trust in stablecoins as rule-of-law assets. They’ve advocated for clearer regulatory frameworks and liability protections for issuers. Critics contrasted this with faster freezes by Tether in similar cases and pointed out Circle’s CCTP infrastructure was actively used by the attackers.

Circle’s Cross-Chain Transfer Protocol (CCTP) is a permissionless, on-chain messaging protocol designed specifically for moving native USDC between supported blockchains. It uses a burn-and-mint mechanism instead of traditional lock-and-mint bridges, eliminating liquidity pools, wrapped tokens, custodians, or third-party fillers. This keeps the total USDC supply constant and unified across chains while minimizing capital inefficiency and bridge-related risks.

CCTP is currently on V2; the canonical version as of 2026. V1 is legacy, limited to slower Standard transfers only, and is scheduled for full deprecation; contracts paused after July 31, 2026. V2 adds Fast Transfers, programmable Hooks, broader chain support including Solana, Ethereum, Arbitrum, Base, Avalanche, Polygon, and others, and improved speed and composability.

 

USDC’s blacklisting and freeze capability is a feature for compliance; anti-money laundering, sanctions but creates liability if not used aggressively enough in hacks. This suit tests where the line is. North Korea lnk: If confirmed, it ties into broader U.S. concerns about state-sponsored crypto theft funding regimes. A win for plaintiffs could pressure all stablecoin issuers to act faster on hacks—or face lawsuits. It also highlights tensions in centralized vs. decentralized finance.

Circle has not yet issued a public comment specifically on the new lawsuit filing. The case is in early stages—expect motions to dismiss and details on what real-time alerts Circle received from investigators or law enforcement. This is classic crypto drama: innovation meets real-world legal accountability. The outcome could shape how stablecoin issuers balance compliance, user protection, and operational speed in future exploits.

Dangote to Open 10% of Refinery to Public Markets Across Africa

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Africa’s most prominent industrial conglomerate is preparing for a partial opening of its flagship energy asset, a move that signals both confidence in its operational turnaround and a shift toward capital recycling for an aggressive expansion programme spanning refining, petrochemicals, and mining.

Aliko Dangote confirmed in Washington that about 10% of Dangote Petroleum Refinery and Petrochemicals FZE will be listed across African exchanges, with advisers including Stanbic IBTC Capital, Vetiva Advisory Services, and FirstCap already engaged in structuring what could become a benchmark transaction for the continent’s energy sector.

The listing is being framed as a minority float, but its implications extend far beyond the size of the stake being sold. Dangote said the refinery will pay dividends in dollars, a design choice that directly addresses one of the most persistent constraints in African capital markets: currency risk. For institutional investors, dollar-denominated returns effectively insulate earnings from local currency volatility, making the asset more comparable to global energy peers than typical regional industrial firms.

“We will list as much as possible, maybe 10 per cent or so,” Dangote said, offering limited detail on valuation but underscoring flexibility in timing and structure.

The decision to list comes at a moment when the refinery is transitioning from construction-led execution to steady-state production. The 650,000-barrels-per-day facility has reached full operational capacity after a difficult ramp-up phase marked by logistics constraints, feedstock alignment challenges, and commissioning delays. Its current output profile is now shifting toward export growth, particularly in diesel and jet fuel, with shipments already reaching markets in West Africa and parts of Europe.

That export momentum is structurally important as it signals that the refinery is not only displacing imports in Nigeria but beginning to behave as a regional balancing supplier, stepping into gaps created by tighter European refining capacity and shifting global trade flows. This means it is moving from a domestic infrastructure project to a participant in global fuel arbitrage.

The planned IPO is tightly interwoven with a broader capital programme estimated at $40 billion over the next five years. That programme spans upstream refining expansion, petrochemical scaling, and diversification into resource processing in mineral-rich African economies. The refinery itself is expected to more than double capacity to about 1.4 million barrels per day, a scale that would place it among the largest single-site refining complexes globally if fully realized.

Parallel expansions in petrochemicals are equally significant. Polypropylene output is projected to rise from 900,000 metric tons annually to 2.4 million tons, a shift that would deepen downstream integration and reduce exposure to imported industrial inputs across West Africa’s manufacturing base. This vertical expansion strategy reflects a broader industrial logic to capture value across the entire hydrocarbon chain rather than concentrating on refining margins alone.

The financing architecture behind this expansion is already unusually diversified for a privately controlled African industrial group. Support from the African Export-Import Bank, which underwrote $2.5 billion of a $4 billion syndicated loan, alongside equipment financing from XCMG Construction Machinery Co., Ltd., highlights the blended public-private, local-global funding model underpinning the project. The planned equity listing adds a third leg, shifting part of the capital burden from debt markets to equity investors.

That transition is notably structural. It is believed that by introducing public shareholders, the refinery would gain a market valuation benchmark, increased disclosure obligations, and a new discipline around capital allocation. At the same time, it opens exposure to investor sentiment cycles that could influence expansion pacing and capital deployment decisions.

The choice of multiple African exchanges rather than a single listing venue is also seen as a reflection of both regulatory fragmentation and an attempt to broaden investor participation across jurisdictions where the refinery’s output already has commercial relevance. It may also help deepen liquidity in regional markets that have historically struggled to support large-scale listings of industrial assets.

However, the transaction has posed a broader question about how African megaprojects are financed. Large-scale infrastructure has traditionally relied on sovereign balance sheets, development finance institutions, and syndicated debt. A partial IPO introduces a different model: one in which private industrial assets are progressively financialized and distributed across public markets.

That shift carries both opportunity and exposure as it allows capital recycling into new sectors such as fertilizer, mining, and upstream industrial inputs. Also, it subjects long-cycle infrastructure to shorter-term market expectations, particularly in environments where macroeconomic volatility remains high.

But as the refinery grows into a regional supplier, it becomes increasingly sensitive to global pricing dynamics, shipping arbitrage, and geopolitical disruptions in fuel markets. Its competitiveness will depend not only on production efficiency but also on logistics reliability, feedstock security, and foreign exchange management.

That will create structural implications for Nigeria. Domestic refining capacity at this scale reduces import dependence, alters foreign exchange demand for fuel purchases, and shifts the country’s position in regional energy trade flows. Over time, it could convert Nigeria from a structural importer of refined products into a net exporter, with downstream effects on trade balances and industrial input costs.

The IPO, therefore, sits at the intersection of industrial policy and capital market development. Experts see it not as a liquidity event but a test case for whether large, vertically integrated African industrial assets can be absorbed into public equity markets without losing momentum or strategic coherence.

Loop Raises $95m to Make Supply Chains Think Ahead Instead of Just React

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San Francisco startup Loop is out to do more than patch up the world’s notoriously tangled supply chains. It wants to give them something closer to foresight — turning fragmented, chaotic data into clear, forward-looking recommendations that help companies avoid trouble before it starts. Think of it as the difference between a doctor who simply notes your high blood pressure and one who builds a complete plan for long-term health.

That bigger vision just earned the company a $95 million Series C round, led by Valor Equity Partners and its Valor Atreides AI Fund. 8VC, Founders Fund, Index Ventures, and J.P. Morgan’s Growth Equity Partners also joined, according to TechCrunch.

The fresh capital arrives at a moment when engineering talent is scarce, and supply chain headaches are anything but. Co-founders Shaosu Liu (CTO) and Matt McKinney (CEO) met at Uber and plan to spend heavily on hiring to keep the momentum going. Both know firsthand how brutally complex global logistics can be, and they designed Loop to attack the problem at its root: the flood of messy, unstructured information that still clogs most operations.

“I do an annual checkup, and it’s like, oh I should be walking more,” Liu said in an interview. “But that’s not the end goal, right? The end goal is someone teaching me about nutrition, someone teaching me about longevity.”

Loop starts by taking the worst of that mess — scanned PDFs without readable text, handwritten notes, emails, Slack messages — and turning it into clean, structured data. It does this through a custom “harness” that orchestrates multiple AI models at once, some built internally and others drawn from the latest frontier systems.

The result is fast, practical wins: customers can spot where they’re losing money or time, flag risks of running out of stock or sitting on too much inventory, and automate tasks that once ate up entire teams.

Those early savings can run into the thousands of dollars almost immediately. But Liu and McKinney are aiming higher. They are now feeding the system deeper data by connecting directly to customers’ enterprise resource planning software, transportation management systems, supplier portals, and warehouse feeds.

The more context Loop absorbs, the more it shifts from simply diagnosing problems to prescribing solutions — rerouting shipments before delays hit, adjusting orders ahead of demand spikes, even flagging strategic changes in sourcing that could cut costs or reduce risk for years.

Valor founder, CEO, and chief investment officer Antonio Gracias put it plainly: “Loop went deep into one of the hardest parts of the supply chain and turned it into an advantage for their customers. Through the AI systems they’ve built, they’re taking data that was previously fragmented and inaccessible and are turning it into intelligence that improves cost, processes, and working capital. That foundation extends into other operational and financial functions, which is why Loop is positioned to become the intelligence layer of the entire supply chain.”

Liu sees the investment from Valor, a firm known for its big bets on Elon Musk’s xAI, as powerful validation. He noted that the due diligence was unusually thorough, focused heavily on whether Loop’s approach could hold up as frontier models evolve.

“They have access to the top AI researchers, and a visionary in the space,” Liu said. “I think it’s very clear that no one’s really going after the domain we are going after with the same rigor, with the same talent.”

McKinney admits the founders originally figured the underlying AI technology wouldn’t be ready for what they wanted until around 2030. The pace of progress has blown past that timeline, but he views it as an advantage rather than a threat. It lets Loop push further and faster, delivering bigger savings, sharper risk reduction, and genuine resilience to customers operating in an unpredictable world.

“Our belief is that this is one of those points in time where the companies that really lean in, their advantage is going to compound,” McKinney said. “I think the companies you’re going to look at in the next decade that survive are the companies that really accelerated in this 12-month period.”

The bet feels well timed given that supply chains have been battered by everything from pandemic snarls to Red Sea disruptions and recent Middle East flare-ups. That pain has sparked a rush of AI investment across the sector.

Deliverr’s founder raised $85 million late last year to automate freight work. Amari AI came out of stealth in February, targeting customs brokers. Even heavyweights like Uber Freight and Flexport are pouring money into their own AI tools. Flexport CEO Ryan Petersen, an early Loop investor, understands the stakes.

What sets Loop apart is its focus on the messy middle, the unstructured data most systems still choke on, and its insistence on building an orchestration layer rather than betting everything on any single model.

In a world where raw AI capabilities are becoming more commoditized, the real edge may lie in knowing exactly how to weave those capabilities together for one of the economy’s most stubborn problems.

If Loop can deliver on its promise, it won’t just clean up supply chains. It could quietly become the invisible brain behind more resilient, efficient, and profitable global operations.

Nasdaq Composite Finishes Higher for its 12th Consecutive Trading Day

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NASDAQ

The Nasdaq Composite finished higher for its 12th consecutive trading day, marking its longest winning streak since July 2009 roughly 17 years ago. It closed at approximately 24,102.70, up about 0.36% on the day, while also hitting a fresh record high.

The S&P 500 rose modestly to a new all-time closing high of around 7,041.28; up ~0.26%, crossing the psychologically important 7,000 level in recent sessions. The Dow Jones Industrial Average gained modestly as well, closing near 48,579. Easing tensions in the Middle East, including progress on peace talks/ceasefire efforts that could reopen key shipping routes like the Strait of Hormuz, helped shift sentiment toward risk-on assets.

Strong corporate results from TSMC and anticipation around names like Netflix supported tech-heavy gains. The rally has been particularly pronounced in tech and growth stocks, helping the Nasdaq outperform the broader market in this stretch. CNN’s Fear & Greed Index has indeed flipped into Greed territory. As of April 17, 2026, it sits around 62–63, up from recent lower levels (it was in the 30s a week ago and as low as the 20s/extreme fear zone a month prior amid earlier volatility).

A reading in the 56–75 range signals Greed, reflecting improving investor sentiment driven by market momentum, lower volatility around 18 and other factors like put or call ratios and junk bond demand. Historically, prolonged Greed readings can sometimes precede pullbacks (as a contrarian signal), but they often coincide with strong trending markets.

The index is just one sentiment gauge—it’s not a perfect timing tool. This kind of extended green streak is rare but not unprecedented in bull phases. The Nasdaq has now recovered nicely from earlier 2026 weakness tied to geopolitical and other macro concerns. Breadth has improved, with both the S&P 500 and Nasdaq posting back-to-back record closes. Markets can stay irrational longer than expected, but streaks eventually end—watch for catalysts like upcoming earnings, economic data, or any shifts in Middle East developments.

The CNN Fear & Greed Index is a daily market sentiment gauge that quantifies whether investors are being driven more by fear; selling pressure, risk aversion or greed (buying enthusiasm, risk-taking). It runs on a scale from 0 to 100:0–24. The index sits around 62–63, placing it in the Greed zone — consistent with the recent Nasdaq winning streak and broader equity strength you mentioned.

The index is based on the behavioral finance observation that emotions can distort asset prices:Too much fear often drives stocks below their intrinsic value, as panicked selling creates oversold conditions. Too much greed can push prices above fair value, as euphoria leads to overbuying and potential bubbles or corrections.

It is not a precise timing tool or trading signal on its own. Instead, it’s a contrarian sentiment barometer: prolonged Extreme Fear has historically preceded strong rebounds in some cases, while sustained Extreme Greed can sometimes warn of complacency before pullbacks. However, markets can remain fearful or greedy for extended periods, so it works best alongside other fundamental and technical analysis.

CNN aggregates seven equally weighted indicators that reflect different aspects of market behavior. Each is normalized to a 0–100 scale, then averaged to produce the final reading. Compares the S&P 500 to its 125-day moving average. Stronger momentum, index well above the average signals greed; weakness signals fear. Measures the number of stocks hitting 52-week highs versus 52-week lows on the NYSE. More new highs point to greed.

Because each indicator is equally weighted and normalized against its own typical range, the index smooths out noise and provides a single, easy-to-read snapshot. Rising index moving toward Greed often aligns with rallying markets, improving breadth, and declining volatility — as seen in the current Nasdaq streak. Falling index typically coincides with sell-offs, higher volatility, and flight to safety.

It updates daily and has been published since around 2012. Over time, it has captured major shifts. It’s a lagging and reflective measure of current sentiment rather than a forward predictor. Extreme readings don’t guarantee immediate reversals — fear can linger, and greed can fuel further gains in strong bull markets. Always cross-reference it with earnings, economic data, valuations, and your own investment plan. Volatility remains relatively subdued for now, which supports the Greed tilt. It’s been an impressive rebound for equities in April so far.