The hottest M&A Substack posts right now

And their main takeaways
Category
Top Science Topics
The Chip Letter • 5023 implied HN points • 12 Feb 26
  1. In the 2000s AMD reshaped itself by selling its flash-memory unit, buying ATI for graphics, and spinning off its chip factories, which changed the company’s business model.
  2. The company mounted a major legal and strategic challenge to Intel that was a high-risk move, producing intense conflict and short-term financial pain that led to leadership change.
  3. AMD’s fortunes later recovered under new leadership, so today’s success is the result of both those risky early moves and subsequent execution rather than any single decision.
The Chip Letter • 6770 implied HN points • 13 Jan 26
  1. Qualcomm bought Ventana mainly to add experienced RISC-V CPU engineers and IP so it can accelerate its own CPU plans and reduce reliance on Arm.
  2. Ventana produced promising Veyron CPU designs (V1 then V2 with vector support) but appears to have struggled to convert that tech into clear customer wins.
  3. A bigger Qualcomm push into RISC-V could hurt Arm’s revenues given Qualcomm’s size, but RISC-V still faces major software and ecosystem hurdles before it can fully replace Arm for high-performance workloads.
Doomberg • 7496 implied HN points • 27 Dec 25
  1. The merger pairs a loss-making Trump Media shell with an early-stage fusion company, which makes little strategic sense and looks driven more by market access and publicity than sound business logic.
  2. TAE’s work so far is limited to lab demonstration reactors that haven’t achieved net energy gain, so promises to begin building a utility-scale fusion plant next year are premature and mostly amount to buying land and permits.
  3. Hype about near-term fusion distracts from proven civilian nuclear options and risks misallocating capital and undermining the existing nuclear industry for little practical return.
Simon Owens's Media Newsletter • 424 implied HN points • 27 Feb 26
  1. Netflix stepping out of the bidding war cleared the way for David Ellison’s Paramount to buy Warner Bros. Discovery, a deal that likely burdens the buyer with heavy debt and weakens a major competitor over time.
  2. Publishers lose time and money to fragmented publishing stacks, so unified platforms that combine editorial workflows, live publishing, and analytics can reduce operational complexity and let teams focus on content and monetization.
  3. FAST streaming faces long‑term risks because many services are filling catalogs with overlapping, lower‑quality content, creating signal‑to‑noise for viewers, while YouTube’s broad reach and attractive revenue split could lure away content suppliers.
Huddle Up • 188 implied HN points • 09 Mar 26
  1. TKO stitched together the biggest live-sports and entertainment portfolio by merging UFC and WWE and buying IMG, On Location, and PBR, giving it massive scale with 500+ events and a reach of about 1 billion households.
  2. The company delivered a financial turnaround in 2025 — roughly $4.7B revenue, $1.585B Adjusted EBITDA, positive net income, $1.159B free cash flow, and over $1.3B returned to shareholders — and the stock is up strongly.
  3. Ari Emanuel is betting on live, human-driven experiences as an "anti-AI" moat, leveraging more than $15B in media-rights deals with partners like Paramount, Netflix, and ESPN to push long-term value and a potential $30B+ valuation.
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Behavioral Value Investor • 52 implied HN points • 19 Mar 26
  1. Staples looked like a cheap, dominant player with big scale, strong cash flow and a growing online business, which supported the value thesis.
  2. Between 2012 and 2017 sales fell at a ~6% CAGR, EBIT and EPS declined, and the company was acquired at $10.25 per share, producing roughly a -2% total return.
  3. Major competitive risks—especially Amazon—materialized and eroded the business, showing that low price and market share alone don’t protect against secular threats.
Huddle Up • 199 implied HN points • 27 Feb 26
  1. The team posted strong 2025 financials — $732 million in revenue and a 172% jump in adjusted OIBDA — showing big growth even if on-field results vary.
  2. The Battery real estate development now drives meaningful, high-margin revenue (about 13% of total), letting the business rely less on game-day performance.
  3. Because the club is publicly traded and has growing, valuable real estate income, its overall value is rising and it could become an attractive candidate for a sale or ownership change.
Behavioral Value Investor • 118 implied HN points • 05 Mar 26
  1. A niche business that is hard to replicate can attract strategic buyers and deliver large returns to shareholders when it fits a buyer's needs.
  2. In heavily regulated industries, government rules and reimbursement pressure are persistent risks that should be explicitly included in forecasts and downside scenarios.
  3. New management rarely fixes deep, long‑standing cultural or compliance problems quickly, and frequent CEO turnover is a warning sign that requires conservatism in valuation and risk assessment.
More Than Moore • 980 implied HN points • 25 Dec 25
  1. NVIDIA paid about $20 billion to license Groq’s hardware and hire its leadership and key staff, buying physical assets while Groq keeps its IP and stays independent to run its cloud and regional deals.
  2. Groq’s chip is a 144-way VLIW design with only on-chip SRAM (~230 MB), which gives extremely fast single-user inference but forces large rack counts and high power to run big models, and its promised 2nd‑generation 4nm product hasn’t clearly appeared yet.
  3. Groq raised large funding and secured major Saudi commitments, and this deal signals NVIDIA is doubling down on accelerating AI inference at scale by consolidating talent and hardware capabilities for the competitive cloud and enterprise AI market.
Frankly Speaking • 406 implied HN points • 06 Jan 26
  1. Security tools will become AI-powered appliances so you no longer need dedicated "tool babysitters"; companies will favor security generalists who use tools to get outcomes, not specialists who just operate platforms.
  2. Tech budgets are shrinking as firms pour money into AI, so security must focus on must-have controls, cut costly seat-based licenses, and lean on AI agents to handle many vulnerability and remediation tasks.
  3. Security talent and leadership will decentralize into small, highly technical teams where leaders write code and build guardrails, while startups and vendors shift toward acquisitions, AI-native UX, and product-led growth.
The Polymerist • 182 implied HN points • 20 Jan 26
  1. Keep an “ace up your sleeve” by funding exploratory R&D separate from routine technical service so you can pull a big new product when you really need it. That dedicated runway gives a company a real chance to create breakout revenue instead of just marginal improvements.
  2. Senior leaders must protect long-term innovation funding and shield teams from short‑term investor pressure, while mentoring and rewarding experimentation. Creating trust and visible support lets scientists and engineers take big swings without fear of being punished for failure.
  3. Real innovation takes years, lots of failures, and close collaboration with operations and customers, not just optimistic projections. Treat failed experiments as learning and focus on commercialization discipline rather than signaling big future returns without the teams and time to deliver.
Frankly Speaking • 50 implied HN points • 12 Feb 26
  1. Google could become a major security player by consolidating essential "plumbing" tools like SSO, EDR, and email into a neutral infrastructure layer, with Wiz providing visibility and Gemini automating workflows. This would let builders customize and remediate problems instead of battling closed, admin-focused tools.
  2. AI is collapsing the per-seat SaaS and point-product model; security must scale with code, agents, and automation rather than more headcount. Organizations that automate extensively shorten breach lifecycles and lower costs.
  3. Google’s vertical integration—cloud, Workspace, and a powerful AI model—plus usage-based pricing and targeted acquisitions could make it a builder-friendly alternative to legacy security vendors. That positioning plays to engineers who want API-first, customizable infrastructure rather than proprietary, admin-heavy systems.
Alex's Personal Blog • 164 implied HN points • 23 Jan 26
  1. Brex's sale to Capital One for about $5.15 billion should be seen as a success, not a failure. Despite earlier frothy valuations, the company turned more than a billion of investor capital into a multi‑billion dollar exit.
  2. OpenAI is growing rapidly and is financially healthy; it added over $1 billion in ARR in a month and still has large cash reserves and access to new funding. That makes the 'running out of money' narrative unlikely in the near term.
  3. The tech landscape is mixed: regulators are signaling tougher scrutiny of big-company acquisitions and layoffs continue at major firms, even as self‑driving services expand into new cities. Growth and dealmaking will therefore occur under greater pressure and oversight.
Fintech Radar • 10 implied HN points • 01 Mar 26
  1. Stripe is exploring buying all or parts of PayPal — likely eyeing Braintree or Venmo — which would merge merchant infrastructure, consumer wallets, and crypto rails into a single payments powerhouse.
  2. Coinbase opened stock and ETF trading to all US users and teamed up with Yahoo Finance, letting people trade thousands of equities (and fund trades with USDC) so stocks and crypto live on one platform.
  3. Block cut about 4,000 jobs, betting that new AI capabilities can replace large swaths of work and turning the company into a much smaller, more automated organization — a move that could signal similar shifts across fintech.
Enterprise AI Trends • 168 implied HN points • 30 Dec 25
  1. Meta's acquisition of Manus rescues a fast-growing but unprofitable startup and rewards its founders and investors, while adding geopolitical and competitive implications.
  2. Because Manus relied heavily on Anthropic's Claude, the deal creates strategic tension — Meta could replace Claude in Manus's agent loop and become a direct competitor to Anthropic.
  3. The purchase highlights a bigger industry debate: Meta is betting that agent scaffolding and tools — not just foundational models — hold the most value, a stance that could reshape AI strategy and competition.
QTR’s Fringe Finance • 27 implied HN points • 23 Feb 26
  1. Buying PayPal would give Amazon an instant, global payments and crypto platform—including peer-to-peer payments and merchant acquiring—and let it compete more directly with Apple and Google while deepening Prime’s customer lock‑in.
  2. Amazon has the balance sheet and liquidity to move fast with an all‑cash bid and could potentially buy PayPal at an attractive valuation after its stock slide, shortening or avoiding a prolonged bidding war.
  3. Significant risks remain — board decisions, financing, and regulatory review could block a deal — but Amazon might face fewer antitrust objections than a direct payments competitor attempting the same acquisition.
QTR’s Fringe Finance • 25 implied HN points • 24 Feb 26
  1. Stripe is reportedly weighing a purchase of PayPal or parts of its business, which could reshape the payments landscape if it moves forward.
  2. Even preliminary takeover talks have already lifted PayPal’s stock by roughly 20 percent, showing how much market expectations can change from rumors alone.
  3. The rally prompts a dilemma for investors — sell into the pop now or hold out for a potentially higher takeover price, since discussions are still early and outcomes are uncertain.
Alex's Personal Blog • 164 implied HN points • 29 Dec 25
  1. A proposed one-time billionaire wealth tax in California looks fair politically and could raise a lot for healthcare, but it's impractical because much billionaire wealth is illiquid and would force asset sales or borrowing to pay.
  2. Wealth taxes run up against mobility and incentives: the very rich can move or shift investments to lower-tax states, so the measure would likely cause capital flight and reduce long-term business activity and revenue for California.
  3. Nvidia's deal with Groq risks undermining competition in AI inference hardware by neutralizing a potential challenger, which could concentrate market power and make it harder for smaller firms to compete.
Alex's Personal Blog • 98 implied HN points • 05 Jan 26
  1. A new image-editing feature in a popular AI model let users alter others' photos and led to sexualized deepfakes, sparking global backlash and showing that weak safeguards can cause big regulatory and reputational damage.
  2. The U.S.'s aggressive action against Venezuela's leader signals rising geopolitical tension that could push technology markets and supply chains to split into competing blocs over time.
  3. Strong investor interest in Chinese AI IPOs like Z.ai and MiniMax could encourage American AI labs to try public listings too, since U.S. labs generally have more revenue and need fresh capital.
Fintech Business Weekly • 14 implied HN points • 15 Feb 26
  1. U.S. regulators are approving new bank charters faster, opening the door for de novo and crypto-focused banks to enter the market and reshape traditional banking relationships.
  2. Crypto firms are under growing compliance and card-network pressure—no‑KYC services can be shut down quickly—so players are partnering with or investing in regulated banks and building onshore stablecoin solutions to legitimize their businesses.
  3. Fintech M&A is heating up, from celebrity-led deals like MrBeast buying Step to Grab taking control of Stash and large corporate acquisitions, signaling a consolidation wave that will change customer acquisition and product strategies.
Enterprise AI Trends • 126 implied HN points • 06 Dec 25
  1. Private equity is an ideal AI customer because they obsess over profitability, move fast, and have the capital to pay for tools that boost returns.
  2. There’s a big information gap: many PE firms don’t deeply understand AI, so they sometimes overpay for simple or copyable solutions, creating arbitrage opportunities for sellers.
  3. Winning in PE means selling differently — understand their buyer psyche and segments, and package pricing, delivery, and value messaging to match how PE evaluates and implements technology.
Rough Diamonds • 20 implied HN points • 05 Feb 26
  1. Most biotech startups either fail or lose value after IPO, with only a small share of currently trading firms showing positive long‑term returns; many poorly performing public companies may simply not have failed yet.
  2. Location and company age strongly predict outcomes: firms based in biotech hubs (CA, MA, NY, NJ, PA) do much better, and newer firms are more likely to still be trading due to lifecycle effects.
  3. Scientific focus and pipeline stage matter: biologics (especially antibodies), rare disease and immunology focuses, targets like PD‑1, and IPOing at Phase III are linked to acquisitions or positive returns, while "other" modalities (e.g., formulations, natural products) tend to underperform.
Behavioral Value Investor • 104 implied HN points • 17 Dec 25
  1. Use several mental models together instead of relying on intrinsic value alone. When ideas like "good business vs bad business," potential vs kinetic energy, and auction dynamics line up, they can reveal big opportunities.
  2. Focus on unique assets and how they can be better monetized or separated from weak parts of the business. Actions like spin-offs, stronger IP monetization, or strategic interest from acquirers can turn hidden value into real gains.
  3. Use long-dated options selectively and size positions to get asymmetric payoffs while managing time risk. Also keep in mind that competitive auctions or strategic bidders can push prices far above standalone intrinsic value, so lock in gains when it makes sense.
Enterprise AI Trends • 105 implied HN points • 12 Dec 25
  1. Consistent long-form writing is hard but can build credibility and an engaged audience, especially among executives and professional investors.
  2. A new Executive Tier targets executives and institutional investors with focused content on market-sensitive topics, competitive AI strategy, and sales plays, and includes a limited number of one-on-one advisory sessions.
  3. The paid newsletter stays focused on AI market and trends, with annual subscribers automatically upgraded to the Executive Tier and early supporters receiving complimentary upgrades.
Generating Conversation • 93 implied HN points • 18 Dec 25
  1. Models stopped being the main story; improvements felt incremental. Success now depends on real applications and which products companies can own.
  2. Big companies are paying close attention and spending aggressively on AI, including large acquisitions. That accelerates enterprise adoption and creates big opportunities for startups.
  3. The field is still changing very fast, so specific predictions often miss the mark. The durable trend is base models becoming more of a commodity while value concentrates at the application and deployment layer.
Pekingnology • 60 implied HN points • 05 Jan 26
  1. Fosun Pharma is paying 1.4 billion yuan to buy control of Green Valley and try to revive GV-971, a touted Chinese Alzheimer’s drug. Many experts doubt the drug’s effectiveness and its international Phase III trial failed for poor enrollment.
  2. Green Valley has a long history of promoting anti-cancer products with false or exaggerated claims, repeatedly rebranding products and breaking advertising rules. Desperate patients were misled, spent money, and sometimes lost the chance for effective treatment.
  3. The acquisition carries legal and reputational risk because regulators have challenged Green Valley’s approvals and its Chinese license has lapsed, while the company’s past leadership and brand links keep public distrust alive. People worry that continuity could mean repeating past harms even as new confirmatory trials move forward.
Fintech Radar • 23 implied HN points • 26 Jan 26
  1. Big banks are buying modern fintechs to get technology and customers fast, and Capital One’s purchase of Brex shows consolidation can still deliver big wins for founders even at lower valuations.
  2. Crypto infrastructure and tokenized assets are back in favor — BitGo’s IPO and large tokenization raises signal strong institutional demand for regulated custody and on‑chain securities.
  3. Payments and commerce are shifting toward agentic AI and deeper embedded finance, with deals like PayPal buying Cymbio and products like after‑purchase BNPL showing a land grab for AI-driven checkouts and merchant plumbing.
ASeq Newsletter • 21 implied HN points • 02 Feb 26
  1. PacBio sold its short-read sequencing assets to Illumina for about $50M, which is far less than what it paid acquiring Omniome and Apton.
  2. PacBio’s short-read products never gained traction and Onso sales were minimal, and recent layoffs suggest the development teams are largely gone.
  3. The deal only buys PacBio roughly six months of additional runway, and Illumina is likely to hold the IP rather than immediately use it to build new platforms.
Alex's Personal Blog • 65 implied HN points • 18 Dec 25
  1. OpenAI is chasing enormous amounts of funding to buy more compute because limited GPUs are constraining both research and product growth, and that compute race is driving huge investment into chip makers and related firms.
  2. China says it has an operational EUV prototype, and if it turns that into production it could break ASML’s chokehold on high-end lithography and shift chipmaking power away from Taiwan and its partners.
  3. Political and corporate money are merging in odd ways, exemplified by a Trump-linked media company pairing with a fusion firm backed by big tech, showing that access to capital and government influence is reshaping deal logic beyond pure business sense.
The Security Industry • 31 implied HN points • 08 Jan 26
  1. Cybersecurity M&A hit record levels in 2025 with $96B deployed across 400 transactions, a 270% rise in deal value, and a $32B landmark acquisition.
  2. Funding also rebounded strongly with $20.7B invested—the best year since 2021—and cloud-native/SaaS deals made up 59% of deal volume and 97% of M&A capital deployed.
  3. Strategic buyers dominated disclosed deal value (92%) and the industry’s vendor taxonomy was overhauled, highlighted by a new Cyberscape and a 1,000‑logo infographic.
Fintech Radar • 8 implied HN points • 09 Feb 26
  1. Experian is buying an AI mortgage-shopping platform to move beyond credit reporting and directly steer consumers through mortgage origination, turning its data advantage into a distribution channel for lenders.
  2. A Palmer Luckey–backed neobank won a US national banking charter in under eight months, signaling that regulators are approving new charters much faster and opening a path for more fintechs to become banks.
  3. PayPal replaced its CEO amid board complaints about its pace of change, exposing a deeper identity problem where the company needs a clear strategic direction rather than just new leadership.
ASeq Newsletter • 29 implied HN points • 06 Jan 26
  1. Illumina’s clinical business is strengthening while overall revenue is flat-to-down, and the company will likely report modest results without launching new sequencing instruments.
  2. Oxford Nanopore probably won’t surprise before the new CEO starts in March, since recent gains looked driven by financial restructuring and price increases rather than clear instrument growth.
  3. PacBio has made technical progress and landed some population sequencing wins, but recent quarterly declines and doubts about reaching profitability by 2027 make acquisition rumors understandable yet unlikely.
Alex's Personal Blog • 65 implied HN points • 20 Nov 25
  1. Venture capitalists are excited about an increase in startup acquisitions after a recent court ruling favored Meta. This suggests there's a lot of movement happening in buying smaller companies.
  2. Many startups that were stuck without growth now have a chance to find new homes through mergers and acquisitions. This could lead to a healthier market for these companies.
  3. Ramp, a corporate spend management company, is gaining attention for its growth and intelligence capabilities, leading to suggestions that Microsoft should consider acquiring it.
Pekingnology • 33 implied HN points • 29 Dec 25
  1. The market selloff reflects not just scientific doubt about GV-971 but major reputational and regulatory risk tied to Green Valley’s history.
  2. Green Valley has a long record of marketing and compliance scandals — including unlawful advertising, forged promotional materials, bribery, revoked approvals — and GV-971’s broader efficacy claims rest on limited and contested evidence.
  3. Key background on Green Valley’s past was largely missing from Fosun’s disclosure and much international coverage, which matters because the deal and the drug’s future still depend on regulatory approval and confirmatory clinical data.
Afridigest • 19 implied HN points • 05 Jan 26
  1. Flutterwave has acquired Mono in an all-stock deal reported around $25–40M (insiders say $30M), and Mono will continue operating independently while the transaction awaits approvals.
  2. The deal combines Flutterwave’s payments platform with Mono’s open banking APIs, letting the combined business offer account-to-account payments, KYC, bank verification, and data-driven risk tools in one stack.
  3. This move signals growing consolidation and pragmatism in African fintech as open banking pioneers face regulatory and market challenges, and while some investors show paper gains, actual liquidity from the swap remains uncertain.
Fund Marketer • 3 implied HN points • 26 Feb 26
  1. Active asset managers are under heavy pressure from passive funds and ETFs, which is driving consolidation and buyouts. Cherry-picking a few old-economy winners doesn’t change the broader trend of active underperformance.
  2. Financial firms are repurposing legacy assets and structures—like art-backed lending and debt-for-nature swaps—to create new revenue streams and support future needs. These moves won’t solve big problems alone, but they are pragmatic ways to finance innovation and conservation.
  3. A long-running project about a Sputnik-era plan to teach advanced mathematics has been completed and will be released next summer. Finishing and sharing such work shows how historical ideas can be reexamined and made relevant today.
Net Interest • 14 implied HN points • 09 Jan 26
  1. Data centers are critical for AI and demand sites built for extreme power and cooling, with strong leasing demand and low customer churn.
  2. Building and running these centers is capital intensive, so companies use asset-backed bonds, large loans, and equity to raise billions and boost valuations.
  3. Investors can gain broad, leveraged exposure to the AI infrastructure boom by buying private equity owners of data centers instead of individual operators, letting them scale using other people’s money.
Huddle Up • 26 implied HN points • 08 Dec 25
  1. Netflix is buying Warner Bros. Discovery for $82.7 billion, winning a bidding war and gaining major franchises plus HBO Max’s roughly 130 million subscribers. This would make Netflix far larger than any streaming rival.
  2. Industry concerns are that the merger could shorten theatrical release windows, hurt movie theaters, and weaken terms for many actors, writers, and production staff, making it a clear antitrust flashpoint.
  3. Netflix plans to pursue a legal strategy to win DOJ approval and believes the deal’s economics still work even if regulators push back or try to block the merger.
Enterprise AI Trends • 21 implied HN points • 07 Dec 25
  1. Big incumbents are building playbooks to defend their enterprise market share from AI-native startups.
  2. Their main play is to force startups into expensive pricing and capital wars, turning competition into a high-stakes fight of resources.
  3. Pricing for enterprise AI (especially token pricing) is becoming a frontline battleground in 2026, with M&A and product moves set to follow.
Net Interest • 14 implied HN points • 19 Dec 25
  1. M&A advisory is extremely lucrative, with firms and boutique bankers earning huge fees on big deals and the industry seeing record revenues and backlogs.
  2. The job is high‑pressure and time‑consuming, with bankers routinely working holidays and long hours to win and manage transactions.
  3. Pay is mostly success‑based—a percentage of deal value—so advisors do a lot of unpaid work hoping a few big wins will cover their costs, and appointments often hinge on personal relationships which can cause disputes.