The hottest Substack posts right now

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February 24: come have lunch with us

Respectful Leadership • 54 implied HN points • 21 Feb 26
💼 Business AI Strategy Leadership Partnerships Go-to-market Operations Startups
  1. A lunchtime event on February 24 in NYC will bring people together to discuss how AI is changing business, with abundant healthy food and pizza provided.
  2. Speakers will share practical AI use cases like automating residential building permits and warn about legal pitfalls, including the risk of losing attorney-client privilege when using AI tools.
  3. Talks will also cover startup and agency strategy — who to hire early (X-shaped people), how to integrate outside agencies, and new go-to-market opportunities driven by AI.

Why solo-founders quit

Tiny Empires • 147 implied HN points • 06 Feb 26
💼 Business Sustainability Productivity Marketing Startups Founders Pricing Entrepreneurship Community
  1. Don't try to do everything. Pick one product or service, focus until it runs without constant babysitting, and say no to distracting ideas.
  2. Stop comparing yourself to other founders' highlight reels. Track your own numbers and measure progress against your past performance, not someone else's posts.
  3. Charge properly and build for sustainability. Serve fewer, better-paying customers, keep simple routines for bad weeks, and have outside support so you don't burn out or quit.

Market Making Stuff Up

DeFi Education • 719 implied HN points • 12 Jul 24
🔮 Crypto Trading DeFi Investing Market Making Tokens
  1. Market makers provide liquidity by buying and selling tokens, improving trading efficiency. They help reduce transaction costs for traders.
  2. Projects hire market makers for better market visibility and tighter price spreads. This makes investors feel more confident when buying tokens.
  3. Market making can be risky and not always profitable. Market makers try to manage risks while looking for ways to profit from fees or token options.

Roche Axelios Pricing

ASeq Newsletter • 72 implied HN points • 27 Feb 26
🕹 Technology Biotech Market Pricing Instruments Sequencing Genomics
  1. Roche’s Axelios is priced competitively with Illumina — offering $150 per duplex genome and very low simplex read costs — but not so cheap that it will immediately displace Illumina, so adoption will be gradual.
  2. Roche has clear advantages over newer rivals: it’s lower risk, more technically interesting, and cheaper for many counting/simplex applications, so it’s likely to outcompete companies like Ultima and Element.
  3. Reusable chips and low per-run chip costs give Roche room to cut prices or offer big customer discounts later, but high switching costs and Illumina’s entrenched position mean market changes will be slow and uneven.

Make product worse, get money

DYNOMIGHT INTERNET NEWSLETTER • 1250 implied HN points • 20 Nov 25
💼 Business Business strategy Product Development Consumer behavior Marketing Economics
  1. Companies often make their products worse to save money, which can lead to disappointing experiences for customers. It's a common issue in many industries.
  2. People generally want to pay less, even if it means accepting lower quality products. This leads companies to prioritize cost-cutting over quality improvements.
  3. Sometimes, companies don't face strong competition, so they can prioritize profit over quality. This pricing power can keep bad products in the market for a long time.
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The Future of Economic Security with Dan Kim and Chris Miller

ChinaTalk • 296 implied HN points • 21 Jan 26
🕹 Technology Supply Chains Semiconductors Export Controls Manufacturing Geopolitics National Security Industrial Policy
  1. A modest CHIPS budget can’t fully de-risk the U.S. from foreign suppliers, so policy should aim for resilience — building key clusters, mature-node capacity, and capability — rather than unaffordable self-sufficiency.
  2. Measure economic security with clear metrics like the Four Cs (capacity, capability, competition, criticality) and practical goals such as minimizing “time to recovery,” while creating institutions and incentives to execute and coordinate industrial strategy.
  3. There’s a trade-off between invention (high-value innovators) and fast-following scale-ups: both matter for national power, and friend-shoring or managed dependence can be strategic tools alongside export controls and international partnerships.

Did Las Vegas get too greedy?

Silver Bulletin • 740 implied HN points • 21 Dec 25
💼 Business Hospitality Data Analytics Tourism Consumer behavior Pricing Gambling
  1. Visitor numbers and room revenues are falling even with discounted prices, marking the biggest year-over-year drop since COVID and lower average daily rates after inflation.
  2. High-roller gaming like baccarat is holding up, but middle-class gambling and spending are down as blackjack, roulette and slots see lower play and customers wager less.
  3. Casinos have tightened odds and monetized many services to boost short-term profits, but those data-driven tactics risk alienating ordinary visitors and eroding repeat business over time.

Another One Bites The Dust

QTR’s Fringe Finance • 44 implied HN points • 05 Mar 26
💰 Finance Valuation Private Credit Asset management Credit Markets Liquidity Risk Fixed income Corporate Debt
  1. Illiquid private loans can go from being valued at full price to worthless very quickly because they’re priced by internal models instead of daily market bids.
  2. A lot of pandemic-era, highly leveraged e-commerce rollups are failing as interest rates rise and demand softens, creating real borrower distress and loan defaults.
  3. Multiple sudden write-downs plus growing investor redemption requests could force a rapid, broader repricing of the large private credit market and stress funds built for slow-moving assets.

Sex, Violence, and Ethics: Trying to Teach Grok a Lesson

Marcus on AI • 4268 implied HN points • 17 Jul 25
🕹 Technology Digital Culture Human Interaction Data Privacy Machine Learning AI Ethics
  1. It's important to consider the impact of our actions, especially when seeking attention. We should be mindful of the consequences of our choices.
  2. Teaching AI, like Grok, to make better decisions can lead to more responsible behavior. Helping AI learn from feedback is crucial.
  3. Agreement on ethical standards can help guide content shared online, especially when it comes to sensitive subjects like sex and violence. It's vital to promote healthy interactions.

Sustainable Software, can you do something?

Cloud native with Saiyam • 39 implied HN points • 15 Oct 24
🕹 Technology AI Sustainability Infrastructure Software
  1. Cloud Native Sustainability Week is a global event focusing on making technology practices more sustainable. It encourages everyone to join discussions and learn about sustainable software integration.
  2. You can contribute to sustainable software efforts by participating in working groups and exploring specific technologies like Kubernetes. There are many projects people can join to help the cause.
  3. Upcoming events like KubeCon NA provide opportunities to learn about the latest tools in cloud-native landscapes. Attending talks and meetups can deepen your understanding and involvement in sustainability efforts.

So you want to be a pirate, eh matey?

Jeff Giesea • 558 implied HN points • 14 Aug 24
💼 Business Work Culture Remote work Gig Economy Career development Employment
  1. Job-stacking is when people hold multiple full-time remote jobs at the same time, mainly in tech fields. Some think it's unethical because it can trick employers.
  2. Supporters argue job-stacking is okay as long as people do their jobs well and there are no secret issues. They feel the current job market is unreliable, so they find new ways to cope.
  3. The job landscape is changing, and job-stacking could be a sign that we need new work models. While not for everyone, it might push us to think differently about employment.

How did Facebook design their Real-Time Processing ecosystem

VuTrinh. • 279 implied HN points • 17 Aug 24
🕹 Technology Big Data Software Architecture System Design Real-Time Processing Data Engineering
  1. Facebook's real-time data processing system needs to handle huge amounts of data quickly, with only a few seconds of wait time. This helps in keeping things running smoothly for users.
  2. Their system uses a message bus called Scribe to connect different parts, making it easier to manage data flow and recover from errors. This setup improves how they deal with issues when they arise.
  3. Different tools like Puma and Stylus allow developers to build applications in different ways, depending on their needs. This means teams can quickly create and improve their applications over time.

The case for wasteful agents

Generating Conversation • 116 implied HN points • 19 Feb 26
🕹 Technology Engineering AI Product UX Software Automation
  1. When the cost of trying things becomes tiny, run lots of quick experiments in parallel. Most will fail, but this approach finds the right solution much faster.
  2. Cheap AI prototypes and low-cost automation change how teams spend time: product people should build many rough, working prototypes while engineers focus on hardening and scaling, and experience matters more for taste than for avoiding every mistake.
  3. Build agents to be 'wasteful' by trying multiple speculative paths and presenting options for incremental user feedback. This beam-search–like behavior will likely become the standard and yields better results than single-shot attempts.

Issue #14 - The Forgotten Guiding Role of Data Modelling

The Data Ecosystem • 659 implied HN points • 14 Jul 24
🕹 Technology Data science Business Intelligence Information Systems Data Management Database Design
  1. Data modeling is like a blueprint for organizing information. It helps people and machines understand data, making it easier for businesses to make decisions.
  2. There are different types of data models, including conceptual, logical, and physical models. Each type serves a specific purpose and helps bridge business needs with data organization.
  3. Not having a structured data model can lead to confusion and problems. It's important for organizations to invest in good data modeling to improve data quality and business outcomes.

Who profits from a world without cash?

Altered States of Monetary Consciousness • 297 implied HN points • 20 Jan 26
🔮 Crypto Stablecoins Digital Currency CBDC Geopolitics Payments Bitcoin
  1. Cash protects privacy, resilience in crises, and everyday budgeting for low-income and informal economies; losing cash hands more power to banks and platforms and makes payments easier to surveil or censor.
  2. Central bank digital currencies (CBDCs) and dollar-backed stablecoins concentrate monetary control and can be used as geopolitical tools, while Bitcoin and other decentralised options offer a different, less controllable model.
  3. Digital payments are consolidating into a few powerful firms, threatening small-scale peer-to-peer trade and individual autonomy, which is driving interest in preserving or reviving analog money as a form of resistance.

Making Space After Burnout

Tech and Tea • 213 implied HN points • 02 Feb 26
💼 Business Career Workplace culture Employee Benefits Work Life Coaching
  1. Get clear on why you want a sabbatical—whether for rest, learning, adventure, play, or connection—because that purpose will guide your planning and help you stay the course when challenges come up.
  2. Practical barriers like money, health insurance, housing, and career concerns are common but often solvable with careful planning, creative problem‑solving, and community or professional support.
  3. A sabbatical can be deeply transformative, so design simple daily rituals or loose structure aligned with your why, give yourself permission to slow down or follow joy, and treat the time as an investment in a life you truly want.

Brands kill culture, feed the zeitgeist, and neglect tradition.

The Social Juice • 102 implied HN points • 21 Feb 26
💼 Business Marketing Advertising Trust Branding Media Strategy Distribution
  1. Brand building is steady work that hasn't gone away. Chasing every trend or declaring old formats dead wastes energy and erodes long-term value.
  2. Culture belongs to no one and moves with young people, so brands can't capture it outright. The smart play is to find a clear role, support creators, and earn a place in that culture over time.
  3. Moments and momentum both matter: use smart distribution, honest slice-of-life creative, and long-term advertising to build trust instead of squeezing viral creators for immediate attention. Over-collaborating or treating creators like disposable assets dilutes both the creator's and the brand's meaning.

The Essential Intangibles

DruGroup • 139 implied HN points • 03 Sep 24
💼 Business Leadership Management Skills Development Training
  1. Being a skilled leader isn't enough; you also need certain qualities called intangibles. These qualities may not be easy to measure, but they are essential for effective leadership.
  2. Leadership intangibles include selflessness, risk-taking, and transparency. Focusing on these traits can help leaders build better relationships with their teams.
  3. You can learn and improve these intangibles through your everyday experiences, rather than needing special training. Recognizing and addressing your blind spots can make a big difference.

My Journey From 300 to 15000 Followers on LinkedIn

VERY GOOD PRODUCTIZED GUIDES • 319 implied HN points • 12 Aug 24
💼 Business Networking Social media Marketing Lead Generation Entrepreneurship
  1. Growing your LinkedIn followers takes consistency and patience. Posting regularly can help you connect with more people and keep your audience engaged.
  2. Content is key to grabbing attention on LinkedIn. Share personal stories, expert insights, and occasional calls-to-action to build connections and generate leads.
  3. Engaging with others on the platform boosts visibility. Comment on posts, reach out to new connections, and collaborate with top creators to expand your network.

TBM 398: Micromanagement? Or Staying Close to Reality?

The Beautiful Mess • 674 implied HN points • 28 Dec 25
🕹 Technology Engineering Culture Leadership Organizational Design Management Practices Operations Team Dynamics Product Management
  1. Leaders should set clear intent and stay close to frontline reality so judgment, not rigid targets, drives decisions. This keeps outcomes directional instead of turning objectives into unforgiving contracts.
  2. Tech companies often celebrate empowerment but fail to build the doctrine, rituals, and training needed to support judgment-based leadership, so autonomy becomes performative. Without those mechanisms, people manage optics instead of sharing real problems early.
  3. Visibility from senior leaders isn’t automatically micromanagement; it feels threatening when there’s no safe escalation, trust, or shared practices. If those conditions are established, direct updates enable more useful conversations and better real-time guidance.

Resilient Cyber Newsletter #14

Resilient Cyber • 59 implied HN points • 17 Sep 24
🕹 Technology Compliance DevOps AI Security Cloud Security Cybersecurity
  1. Cyber attacks on U.S. infrastructure have surged by 70%, affecting critical sectors like healthcare and energy. This is causing bigger risks because these sectors are tied to essential services.
  2. Wiz has introduced 'Wiz Code' to improve application security by connecting cloud environments to source code and offering proactive ways to fix security issues in real-time.
  3. There's a growing crisis in the cybersecurity workforce, with many claiming there are numerous jobs available while many professionals feel unprepared for the roles. This highlights the disconnect between job openings and real-world experience.

RL and The Era of Experience

Tanay’s Newsletter • 138 implied HN points • 10 Feb 26
🕹 Technology Machine Learning Applications Startups Infrastructure Reinforcement Learning Artificial Intelligence
  1. AI is shifting from learning from static human data to learning from experience, with models improving by taking actions in environments, receiving feedback, and scaling reinforcement learning.
  2. A new RL ecosystem is emerging with companies that build environments, provide RL infrastructure, and offer RL-as-a-service, enabling labs and apps (like coding tools) to train and improve agents.
  3. Important open questions remain about how well RL-trained models generalize, whether RL scaling alone is enough, and the need for continual learning plus many more realistic evaluations and environments.

ChatGPT 5.1 Codex Max

Don't Worry About the Vase • 1120 implied HN points • 25 Nov 25
🕹 Technology Software Engineering AI Models Cybersecurity Automation Model Evaluation
  1. GPT-5.1-Codex-Max is a newer and improved coding model. It is faster, more capable, and better at keeping track of long tasks.
  2. The model shows big improvements in cybersecurity evaluations, but there's still uncertainty about its overall capability in real-world cyber challenges.
  3. Despite being a solid upgrade, many people feel the improvements are modest and reactions to its release have been quieter compared to past updates.

The Sequence Radar #799: The Week AI Leveled Up: From Chatbots to World Builders

TheSequence • 273 implied HN points • 01 Feb 26
🕹 Technology Artificial Intelligence Generative AI Machine Learning AI Research Startups Funding Cloud Infrastructure
  1. AI is shifting from passive chatbots to active agents and simulated worlds, with models now able to orchestrate many sub-agents in parallel and create interactive, physics-aware environments users can explore.
  2. Frontier reasoning is becoming a global standard as models expose step-by-step “thinking” modes and stronger multimodal/speech capabilities, letting systems spend more compute at test time to produce better, more reliable answers.
  3. Big platform plays and huge capital rounds are reshaping the field: companies are building integrated AI workspaces and chasing massive investments that could concentrate compute and user data with a few dominant players.

Selling Freddie and Fannie - What's the Real Point?

TK News by Matt Taibbi • 3184 implied HN points • 20 Aug 25
💼 Business Corporate Finance Economics Investing Real Estate
  1. The Trump administration is considering selling a part of Freddie Mac and Fannie Mae, which have been government-owned since the 2008 financial crisis. This might result in big profits for investment banks and hedge fund managers.
  2. Freddie and Fannie were once public companies but became like hedge funds over time, leading to risky investments that contributed to their downfall. The move to make them public again raises questions about whether it will end in disaster again.
  3. Selling shares in these companies could lead to higher mortgage rates for homebuyers, which would make buying a home more expensive. Concerns are being raised about whether this plan actually benefits the public.

Who saw the Kung-fu Robots coming?

Taipology • 60 implied HN points • 18 Feb 26
🌐 International Real Estate China Economy Technology Governance Innovation
  1. China is moving from copying to genuine leadership in some advanced tech fields — the new agile humanoid robots show authoritarian systems can still innovate fast.
  2. China functions as an authoritarian developmental/bureaucratic state with constant tensions between reformers and conservatives, central and local governments, and rural and urban interests, which explains its shifting growth phases from countryside gains to city-led booms and then more balanced growth.
  3. Some big risks have shifted since 2016: the real-estate market proved to be a massive bubble that was popped by policy, and Xi’s mix of anti-corruption and industrial activism has reduced certain problems while concentrating political control and creating new uncertainties.

The changing buy vs. build calculus for security

Frankly Speaking • 152 implied HN points • 04 Feb 26
🕹 Technology DevOps Cloud Infrastructure SaaS Pricing Product Strategy Software Engineering Artificial Intelligence Cybersecurity
  1. AI gives engineers a 5–10x productivity boost, so teams can now build custom security tools that used to be bought; vendors must offer clear, hard-to-replicate value or risk being replaced.
  2. Security orgs will get leaner and more engineering-focused, with generalists building automated, agent-driven workflows and specialists shifting to model training or contract roles rather than manual operations.
  3. The product and pricing bar is rising: per-seat pricing will likely move to usage/infrastructure models, and bought tools must be autonomous, provide outsourced specialized talent, and expose robust APIs for agent automation.

Cybersecurity predictions for 2026

Frankly Speaking • 406 implied HN points • 06 Jan 26
🕹 Technology Startups Cybersecurity Artificial Intelligence Product Strategy M&A Talent Management Enterprise Software
  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.

RISC-V Vector Is Expanding

Fprox’s Substack • 269 implied HN points • 25 Jan 26
🕹 Technology Parallel Computing Semiconductors Processors Hardware design Embedded Systems Computer Architecture
  1. Zvabd adds vector integer absolute-value and absolute-difference instructions plus widened-accumulate variants, targeting DSP use and keeping some ops limited to 8/16-bit to reduce hardware cost.
  2. Zvzip provides vzip, vunzip (even/odd), and vpair instructions to interleave and extract paired elements more directly than emulating with vcompress, and these new ops support optional masking.
  3. Zvdot4a8i defines 4-element 8-bit dot-product vector ops (vector-vector and vector-scalar) that multiply and accumulate 4×8-bit groups into 32-bit results, paving the way for faster matrix-style computations.

How To Give Yourself A Promotion And Grow Your Business Beyond Solo Freelancing

VERY GOOD PRODUCTIZED GUIDES • 99 implied HN points • 09 Sep 24
💼 Business Growth Strategies Management Marketing Entrepreneurship Freelancing
  1. To grow beyond solo freelancing, you need to stop doing everything yourself. Focus on what you do best and outsource the tasks that take up too much of your time.
  2. It's important to package your services in a way that clients understand and can buy easily. This means creating fixed-fee services that have clear pricing and deliverables.
  3. You should regularly audit how you spend your time to figure out what tasks can be delegated. This helps free up your schedule for the high-value work that you enjoy.

The Intention Economy: Can you Vibe Code Reality?

What's Important? • 28 implied HN points • 12 Mar 26
🕹 Technology Artificial Intelligence Neurotechnology Wearables Emerging Tech Tech Ethics
  1. Manifestation is a real process that changes you into whatever can get what you want, and wanting alone isn’t enough. If you manifest from ego or without the heart, it often brings hollow success or harm.
  2. AI and other technologies act as mirrors and amplifiers of our manifestation skills, so what we prompt and build reveals whether we’re coherent or not. Using tech from the head alone can create chaos, so we need to bring intention and heart to how we design and use tools.
  3. A shift toward an "intention economy" and spiritual tech could move us away from attention-driven harms and toward heart-centered creation, but these tools are still crude and can be destabilizing. They need careful training, ethical use, and integration to be safe and truly beneficial.

Private Equity Managers Are Primed to Pounce on Your 401(k)

TK News by Matt Taibbi • 3338 implied HN points • 13 Aug 25
💰 Finance Market Trends Private Equity Fees Investments Retirement
  1. Trump's new order could let private equity managers use 401(k) funds more easily, giving them a chance to gain a lot of retail investor money.
  2. This may lead to retail investors getting poorer investment deals, as private equity managers might prioritize making money off fees over good returns.
  3. There are concerns that having retail investors could hurt the returns for big investors, as suddenly too much money might chase too few good deals.

This Is A Story About Power

Teaching computers how to talk • 57 implied HN points • 02 Mar 26
🕹 Technology Corporate Power Surveillance Military Tech Regulation AI Tech Policy
  1. The government tried to force AI firms to accept "all lawful uses"—which could include mass surveillance and autonomous weapons. Anthropic refused and faced punitive actions while another firm quickly made a deal, raising concerns about influence and favoritism.
  2. AI is now deeply integrated into military and state operations, already used in strikes, raids, surveillance, and cyberwarfare. Private AI companies will be repeatedly pressured to choose between commercial, ethical, and national security demands.
  3. Public reaction matters: Anthropic's refusal won praise and drove many users to switch to its Claude app, while the other firm faced backlash and lost some trust and subscriptions. Ethical stances can translate directly into market and reputational consequences.

TSMC v Intel in Two Charts

Tim Culpan’s Position • 119 implied HN points • 05 Sep 24
🕹 Technology Semiconductors Charts Market Trends Data Analysis
  1. TSMC and Intel are two major players in the semiconductor industry. Their performance and strategies have crucial implications for technology.
  2. Visual data can highlight important differences in the technical and financial health of these companies. Charts can make complex information easier to understand.
  3. Recent reports show that Intel is facing significant challenges, while TSMC continues to lead in production and technology advancements. This could shape the future of the tech industry.

#51 - Two Detailed Approaches to Pilot-to-Prod In Enterprise AI

OSS.fund Newsletter • 56 implied HN points • 05 Mar 26
🕹 Technology Governance Org Design Automation Security Enterprise AI AI Strategy
  1. Fixing pilot-to-prod needs two bridges: engineering and risk controls to make pilots safe and evidence-backed, and org redesign of operating model, decision rights, and roles so AI actually changes outcomes.
  2. A focused human pod sprint with clear owners and cross-functional roles can rapidly triage pilots, create workflow-truth pages, and deliver repeatable production gates in weeks rather than months.
  3. A hugent model pairs humans for judgement with tightly constrained agent workers to automate inventory, evidence assembly, and continuous checks, giving higher throughput and a persistent triage pipeline but requiring strict safeguards and org changes.

A tale of two American cities

Wrong Side of History • 693 implied HN points • 13 Dec 25
💼 Business Education Urban Migration Talent Real Estate Tech Economics
  1. Austin has become a magnet for talent and tech firms because of Texas’s low regulation, cheap land and energy, and an influx of Californians and international migrants, turning it into a fast-growing, futuristic city.
  2. That rapid growth brings clear benefits—jobs, higher wages and lots of new housing—but also serious social costs like rising costs of living, displacement of the city’s bohemian culture, and visible homelessness and mental-health problems.
  3. The story reflects a broader American pattern: a bold, experimental meritocracy that drives big inventions and new institutions, yet often produces stark inequality and an uncertain civic legacy because mobile tech elites don’t always create lasting public cultural endowments.

The NRC is more radiophobic than the public

Gordian Knot News • 87 implied HN points • 23 Feb 26
🕹 Technology Regulation Emergency Response Engineering Nuclear power Safety
  1. Regulators and the nuclear industry often act more fearful of radiation than the public. That fear drives designs and policies—like fail‑closed vent valves and 'late venting'—which delayed critical actions and made accidents worse.
  2. Radiophobia favors vague language over dose numbers. That prevents sound risk assessment and leads to overly conservative, costly, or harmful responses like broad evacuations or panic advice.
  3. This widespread radiophobia both increases nuclear costs many times over and can turn natural disasters into larger nuclear disasters. A more balanced, numbers‑based approach would reduce harm and expense.

Final Look at Housing Markets in December and a Look Ahead to January Sales

CalculatedRisk Newsletter • 224 implied HN points • 02 Feb 26
💼 Business Real Estate Mortgage Rates Inventory Home Prices Economic data Housing Market
  1. Existing-home sales are very weak: 2025 posted the lowest annual sales since 1995, with a SAAR near 4.35 million and about 19% below pre‑pandemic levels.
  2. Inventory is rising and months‑of‑supply are above pre‑pandemic norms, and that higher supply—despite only a small median price gain—increases the risk of national price declines in 2026.
  3. Falling mortgage rates in late 2025 make a slight uptick in January sales likely, but new listings remain below 2019 levels so inventory improvements may be uneven across markets.

How Did LinkedIn Handle 7 Trillion Messages Daily With Apache Kafka?

VuTrinh. • 299 implied HN points • 13 Aug 24
🕹 Technology Software Development Infrastructure Data Engineering Open Source
  1. LinkedIn uses Apache Kafka to manage a massive flow of information, handling around 7 trillion messages every day. They set up a complex system of clusters and brokers to ensure everything runs smoothly.
  2. To keep everything organized, LinkedIn has a tiered system where data is processed locally in each data center, then sent to an aggregate cluster. This helps them avoid issues from moving data across different locations.
  3. LinkedIn has an auditing tool to make sure all messages are tracked and nothing gets lost during transmission. This helps them quickly identify any problems and fix them efficiently.