The hottest Substack posts right now

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Gmail: Designed to be joyfully simple

Elizabeth Laraki • 199 implied HN points • 03 Sep 24
đź•ą Technology Product Development Interface Design UX Design Software Engineering User Research
  1. Gmail was built to be fast and user-friendly. The designers wanted everyone to enjoy using email instead of feeling overwhelmed by it.
  2. Key features like conversation threading changed how we view email. Instead of treating each email as a separate message, Gmail groups related messages together for easier tracking.
  3. Designing for joy means creating a simple and pleasant user experience. The goal was to make Gmail so easy to use that it felt natural and enjoyable for everyone.

Producer theory

benn.substack • 1508 implied HN points • 21 Nov 25
đź’Ľ Business AI Data Innovation Tech Startups
  1. Building strong connections with various data sources is important for creating valuable AI products. This way, the product can understand context and provide better outcomes.
  2. Platforms may not be as essential as we think. Sometimes, focusing on being a good producer and providing unique intelligence can be more beneficial than trying to build a large platform.
  3. As AI tools evolve, they learn from each other. This means that context is not just about gathering data, but also about interpreting and using that data intelligently.

Variously Effective Altruism

Don't Worry About the Vase • 2016 implied HN points • 10 Nov 25
đź“– Philosophy Social Psychology Philanthropy Decision-making Ethics Altruism
  1. When giving money to charities, it's important to consider how your donations might be used. Your funds could end up supporting causes you don't believe in, so think carefully about where your money goes.
  2. Giving to help others can sometimes make you seem unkind if you focus only on the impact rather than on people's feelings. It's good to be aware of how your approach to helping is perceived by others.
  3. When looking for donations, some big projects need a lot of money, even if it seems like too much at first. If you have a solid plan, it might be better to ask for a bigger amount because wealthy donors often want to invest significantly in exciting ideas.

For Starters #35: 3.5 Tips for Pricing

For Starters • 39 implied HN points • 18 Oct 24
đź’Ľ Business B2B SaaS Customer Experience Marketing Value Proposition Pricing Strategy
  1. Pricing should highlight what makes your product special. If customers understand its unique value, they're more likely to use it.
  2. Help your customers see the benefits fast. Make onboarding smooth and ensure they quickly experience the product's value.
  3. Don't worry about making your product perfect before setting a price. Charge based on the value customers see now, not on what you want it to eventually be.

PostgresConf Seattle: Price increases 3/4/24

PostgresWorld and Postgres Conference • 19 implied HN points • 23 Oct 24
đź•ą Technology Conferences Software Networking Community Databases
  1. Register for PostgresConf Seattle before March 4, 2024, to save money. The early bird price is $599.
  2. After March 4, the price of registration will rise significantly, starting at $995.
  3. The conference includes over 50 sessions and various community events that provide great networking opportunities.
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Taking just one step too far

Leading Developers • 84 implied HN points • 24 Feb 26
đź’Ľ Business Communication Teamwork Hiring Careers Management Leadership
  1. Pushing a little beyond normal social or organizational boundaries often gets things done and can lead to better outcomes than staying overly timid.
  2. Deliberately testing that extra step helps you learn where the real limits are, because different people and orgs tolerate different levels of push.
  3. Keep it to just one extra step, watch reactions, learn from feedback, and preface risky moves so you can dial back quickly if needed.

Software Machine Tools

Bzogramming • 61 implied HN points • 03 Mar 26
đź•ą Technology Software Engineering Computer Architecture Algorithms Compilers AI Machine Learning Programming
  1. There is no universal machine tool: every manufacturing process has hard trade-offs in cost, speed, materials, and geometry, and even hypothetical atom-by-atom assemblers would face stability, energy, and material limits.
  2. In software, theoretical universality (Turing-completeness) doesn’t imply practical usefulness—different paradigms like programming languages, neural networks, and superoptimizers are distinct "software machine tools" with very different real-world strengths.
  3. Big opportunities lie in alternative software tools and analyses—verification-driven code synthesis, superoptimizers, compact magic-constant solutions, better static analysis, and more visual/geometric tooling can solve hard problems more efficiently than brute-force code or giant models.

Inside OpenAI's Ideological Echo Chamber

The Dossier • 123 implied HN points • 18 Feb 26
đź•ą Technology Artificial Intelligence AI Ethics Tech regulation Corporate Governance Platform Governance
  1. OpenAI and ChatGPT are shaped by a narrow secular progressive and Effective Altruism moral framework that comes from its founders and leadership.
  2. That shared ideology affects what the model will discuss and refuse to discuss, often treating traditional or conservative views as harmful while privileging progressive positions.
  3. Because these AI systems are becoming central to learning and decision-making, there should be broader representation and public or governmental oversight so diverse moral perspectives are included before those assumptions become hard to change.

Presenting the Case That the Future Will Be Unrecognizable

Am I Stronger Yet? • 1065 implied HN points • 19 Dec 25
đź•ą Technology Manufacturing AI Automation Robotics Materials Space Tech
  1. AI could become more adaptable than humans by combining general-purpose intelligence, advanced robots, and breakthroughs in materials and manufacturing, triggering a radically different era.
  2. Massive investment, accelerating technical progress, and historical patterns of growth make a tipping point for such AI plausible within decades rather than centuries.
  3. If that tipping point arrives, core assumptions about labor, resources, and politics could break down with outcomes ranging from enormous benefit to severe harm, so societies should monitor progress and build institutions to manage the change.

2025 Annual Letter: Technology is the Cake, Geopolitics is the Icing

Interconnected • 200 implied HN points • 09 Feb 26
đź’Ľ Business Strategy Investing Asset management Fundraising Risk Technology
  1. Put technology first, then assess geopolitical tailwinds or headwinds, then evaluate the company, and only finally consider price. Geopolitics is an unavoidable layer that can make or break a tech investment.
  2. Widespread adoption of AI agents will create strong demand for deterministic guardrails like observability, data governance, DevOps, and security because probabilistic models need rules and audit trails. Agent workloads are also more heterogeneous, which could shift infrastructure demand from GPUs toward CPUs.
  3. Human surveys will likely understate agent effectiveness as people protect jobs, creating a measurement problem for adoption, and political or local backlash against AI data centers can become a bipartisan constraint. Investors should expect regulatory and supply risks and consider modest hedging and risk management.

State of the Future: Friday Four

State of the Future • 12 implied HN points • 06 Mar 26
đź•ą Technology Semiconductors Startups Corporate strategy Tech Policy Labor markets Automation AI
  1. Governments are starting to use procurement rules and security labels as political tools against AI companies that set safety limits, which creates legally shaky precedents and new political risk for vendors.
  2. Companies are using AI to justify big layoffs and cost cuts, but research shows AI is mostly augmenting white-collar roles (programmers have high task exposure) so unemployment hasn’t spiked yet; however hiring of junior workers is falling, which risks breaking the apprenticeship pipeline.
  3. Europe is boosting advanced chip capacity with the new NanoIC pilot line and ASML’s next‑gen High‑NA EUV, giving startups and researchers access to near‑industrial fabrication and strengthening semiconductor sovereignty and supply chains.

Train Surgery

atomic14 • 692 implied HN points • 07 Jan 26
đź•ą Technology Batteries Hardware DIY Electronics Audio
  1. Four AA batteries were replaced with a single 18650 Li‑ion cell plus a charger/protection/boost module set to about 5.5 V, making the train rechargeable.
  2. A potentiometer was put in series with one speaker lead to act as a simple volume control, and a homemade knob was added so the control is accessible from outside.
  3. The conversion achieves rechargeable power and adjustable volume, but the drivetrain’s plastic gears still make loud mechanical clatter at low volume.

AI #142: Common Ground

Don't Worry About the Vase • 1926 implied HN points • 13 Nov 25
đź•ą Technology Internet AI Software Innovation Data
  1. Everybody seems to agree that AI is important, but opinions vary on how to manage its growth and impact. Many believe we should keep humans in charge when dealing with powerful AI.
  2. There's a lot of skepticism around AI and its effects on jobs and life, with some believing it will cause major disruptions. Others think it will be a positive change overall.
  3. There's a sentiment that as AI becomes more prevalent, people need to be cautious and thoughtful about how it's integrated into daily life and big decisions, ensuring strong safeguards are in place.

The new Liar's Paradox

The Intrinsic Perspective • 15503 implied HN points • 17 Jan 25
đź“– Philosophy Ethics Mind Knowledge AI Consciousness
  1. AI welfare is an emerging field that raises questions about whether AI can experience consciousness and suffering like humans do. We need to think about how to treat AI responsibly if they do have feelings.
  2. There are moral dilemmas when it comes to AI—if we treat non-conscious AIs as if they are conscious, we might confuse what they're actually capable of feeling. This can lead to unnecessary concerns or misplaced reliance on them.
  3. Studying consciousness is hard because people often tell researchers what they think they want to hear. This makes it tough to trust any reports about their true experiences.

Data Science Weekly - Issue 564

Data Science Weekly Newsletter • 119 implied HN points • 12 Sep 24
đź•ą Technology Engineering Data Visualization Artificial Intelligence Machine Learning Data science
  1. Understanding AI interpretability is important for building resilient systems. We need to focus on why interpretability matters and how it relates to AI's resilience.
  2. Testing machine learning systems can be challenging, but starting with basic best practices like CI pipelines and E2E testing can help. This ensures the models work well in real-world scenarios.
  3. Visualizing machine learning models is crucial for better understanding and analysis. Tools like Mycelium can help create clear visual representations of complex data structures.

The Chronicles of GND, Part 1

filterwizard • 39 implied HN points • 25 Sep 24
đź•ą Technology Innovation Simulation Electronics Engineering
  1. Voltage is always measured between two points, not at a single point. You need to connect both leads of a voltmeter correctly to get accurate readings.
  2. Kirchhoff's Madness refers to thinking you can measure voltage with just one lead, leading to misunderstandings in circuits. Always define where both leads are connected.
  3. Current doesn't just disappear when it flows to ground; it travels in a closed loop. Misunderstanding this can cause problems in circuit design and analysis.

Finding Career Fit For An AI Age.

The Future Does Not Fit In The Containers Of The Past • 75 implied HN points • 22 Feb 26
đź’Ľ Business AI Workforce Careers Talent Hiring Leadership
  1. Personality (PQ) will matter more in the AI age than past measures alone, because traits like agreeableness, conscientiousness, extraversion, openness, and emotional stability help predict career fit and future success.
  2. Constant reinvention and the ability to learn and unlearn are essential; success depends on being smart at learning, having drive to do the work, and being likable enough to collaborate with humans and AI.
  3. Work is shifting from fixed jobs to flexible opportunities, so a persistent career blueprint based on PQ helps individuals and companies match roles to who someone truly is rather than just their resume.

The Pettis Paradigm and the Second China Shock

Noahpinion • 16059 implied HN points • 16 Jan 25
đź’° Finance Macroeconomics Economic Policy International Trade
  1. China has a large trade surplus, which is complex and not solely based on traditional economic theories. Many think its economy is getting help through government loans and subsidies.
  2. There are many opinions on how to deal with China's trade practices, especially the idea of using tariffs. Some believe that tariffs can help change China's focus from exporting to better domestic consumption.
  3. Economics is complicated, and experts often disagree on how to fix trade issues. Current solutions might not work as intended, and some past policies have not improved the situation as hoped.

Giải mã LockBit v3

Thái | Hacker | Kỹ sư tin tặc • 2716 implied HN points • 02 May 24
đź•ą Technology Cybersecurity Collaboration Ransomware Security Measures
  1. Calif's report on LockBit v3 reveals a vulnerability allowing partial data recovery without ransom payment.
  2. Knowing ransomware algorithms is crucial for recovery strategies, even if mistakes can happen.
  3. Common ransomware recovery strategies include backup restoration, ransom payment, or self-decryption, with emphasis on avoiding public disclosure.

Scale Ruins Everything

Cold Water • 19 implied HN points • 30 Sep 24
đź’Ľ Business Venture Capital Corporate Responsibility Economic Impact Investment Trends Startups
  1. Venture capital funding has led to many startups chasing rapid growth, even if their ideas could harm society. This can create big problems as companies scale up without considering the impact.
  2. Most startups fail, but VCs invest in many hoping to find a few successful ones. This pressure for growth can push companies to make decisions that negatively affect their communities.
  3. Founders should think about how their ideas might lead to negative outcomes at scale. It's important to consider whether every idea needs to become a billion-dollar business and what that means for society.

How Ukrainian Battlefield will Change Our Lives

Erik Examines • 268 implied HN points • 07 Feb 26
đź•ą Technology Robotics AI Batteries Defense Logistics Drones
  1. Mass combat use and mass production of drones and robots are accelerating robotics and AI development through rapid iteration and real-world feedback, which will spill over into civilian tech.
  2. Battlefield realities favor cheap, quickly produced, and expendable platforms over expensive, high-performance systems, making cost, speed of production, and ease of use the new priorities in warfare.
  3. Those military-driven advances will show up in everyday life as more drone delivery for critical supplies, robot dogs or wheeled bots for last-mile package drops, and greater robot automation inside factories and companies.

Groupthink & Tech Journalism

The Lunduke Journal of Technology • 5170 implied HN points • 27 Jul 25
đź•ą Technology Trends Innovation Media Journalism
  1. The '10th Man Rule' suggests that when a group has a strong consensus, the '10th man' should challenge that view. This helps prevent groupthink and encourages diverse opinions.
  2. The Lunduke Journal focuses on sharing truths about the tech industry, even if it annoys some people. It aims to explore stories that other journalists might avoid due to fear of backlash.
  3. By rejecting corporate sponsorship, the Lunduke Journal maintains independence. This allows for honest reporting without worrying about pleasing big companies or public opinion.

AI #141: Give Us The Money

Don't Worry About the Vase • 2060 implied HN points • 06 Nov 25
đź•ą Technology Investments Regulation Business Finance AI
  1. OpenAI is not only focused on advancing AI technology but is also pushing for government backing to support its financing. This raises concerns about privatizing profits while socializing losses, which many view as a form of regulatory capture.
  2. Both OpenAI and Anthropic are heavily investing in AI development, expecting significant losses in the coming years as they prioritize growth and market share. OpenAI plans to invest around $115 billion before becoming profitable, while Anthropic aims for a much smaller $6 billion loss.
  3. There are rising worries about the safety risks associated with advanced AI technologies. Many experts believe that the development of superintelligent AI could be a major threat to humanity, prompting discussions about how to responsibly manage these powerful systems.

Architecture "Billings remain soft to start 2026"

CalculatedRisk Newsletter • 153 implied HN points • 19 Feb 26
đź’Ľ Business Housing Market Economic Indicators Architecture Construction Real Estate
  1. Architecture billings are in contraction, with the ABI at 43.8 in January and the index in contraction for 37 of the last 40 months. Because the ABI typically leads nonresidential construction by 9–12 months, this points to a slowdown in commercial real estate investment through 2026.
  2. Multifamily billings have been below the 50 growth threshold for 42 consecutive months, indicating continued weakness in multifamily starts and no billing growth for those firms since mid‑2022.
  3. Pending home sales fell 0.8% month‑over‑month and 0.4% year‑over‑year in January, missing expectations and signaling softer near‑term existing‑home activity; contract signings usually lead closed sales by 45–60 days, so weaker sales are likely in the coming months.

a16z: The Power Brokers

Not Boring by Packy McCormick • 562 implied HN points • 09 Jan 26
đź’Ľ Business Public Policy Corporate strategy Fundraising Investing Startups Venture Capital
  1. a16z is built as a firm, not a traditional VC fund — it scales a huge platform of people and services (hiring, sales, marketing, policy and deep networks) to give startups power they couldn’t buy on their own.
  2. Their investment playbook is to find technical founders and category winners early, then double down — paying up and holding positions longer — to capture outsized outcomes.
  3. They’ve moved into a leadership role: shaping policy and building late-stage, public-company-like capabilities so companies can grow bigger in private, which can expand returns but also raises new risks as the firm scales.

AI: A Reflection of You

Polymathic Being • 42 implied HN points • 08 Mar 26
đź•ą Technology AI Ethics Artificial Intelligence Creativity Digital Culture Societal Impact Human factors
  1. How you use AI acts like a mirror: people fall into archetypes who either hype it, fear it, pragmatically balance it, mindlessly dump content, or reject it outright.
  2. A pragmatic, human-centric approach wins — use AI to augment human creativity and judgment while leaning on curiosity, humility, and intentional reframing.
  3. Treat AI as a respectful, rigorous collaborator to get better results, but beware of over-optimizing too early and squeezing out exploration and discovery.

Deep Research, Deep Bullshit, and the potential (model) collapse of science

Marcus on AI • 14386 implied HN points • 03 Feb 25
đź•ą Technology Research Data Science AI Ethics
  1. Deep Research tools can quickly generate articles that sound scientific but might be full of errors. This can make it hard to trust information online.
  2. Many people may not check the facts from these AI-generated writings, leading to false information entering academic work. This could cause problems in important fields like medicine.
  3. As more of this low-quality content spreads, it could harm the credibility of scientific literature and complicate the peer review process.

Infographics: The Modern Repo Market

Concoda • 329 implied HN points • 22 Jan 26
đź’° Finance Markets Banking Liquidity Central Banking Monetary Policy Fixed income
  1. A large, detailed infographic maps how cash and collateral move through the modern repo market around 2026.
  2. The chart is best downloaded and viewed on a high-resolution device; start at the green "start here" box in the top-right, follow flows right-to-left, and consult the legend to learn the terminology.
  3. A follow-up write-up will unpack the chart and explain the mechanics and jargon in more detail.

Introduction to Prediction Markets

DeFi Education • 699 implied HN points • 26 Jul 24
đź”® Crypto Prediction Markets DeFi Trading Market Analysis
  1. Prediction markets let users bet on the outcomes of real-world events, like elections or interest rates, by creating and trading tokens. This allows for both speculation and hedging against risks in the financial markets.
  2. Polymarket is a leading prediction market platform that has seen rapid growth, particularly during election cycles. Users can make money by providing liquidity and taking advantage of market mispricings.
  3. Memecoins and prediction markets serve different purposes for betting on events. Prediction markets offer specific outcomes with sound pricing, while memecoins allow for uncapped upside but carry risks of fluctuations based on popularity.

You Can't Make Me Vibecode

The Future, Now and Then • 193 implied HN points • 13 Feb 26
đź•ą Technology AI Tech History User Experience Software Open Source
  1. Tools like Claude Code that let people "vibecode" can be revolutionary for coders and startups, but that revolution will likely stay inside the tech world rather than making everyone want to code.
  2. The Linux/open-source story shows a technology can dominate infrastructure without changing most people’s everyday relationship with their devices — many users prefer convenience to empowerment.
  3. Because lots of people don’t want a coder’s relationship with software, mass adoption of agentic coding is uncertain and the economic case depends on reaching beyond enthusiastic early adopters.

The leading AI models are now good historians

Res Obscura • 15240 implied HN points • 22 Jan 25
đź•ą Technology AI Models Historical Analysis Research Methods Generative AI
  1. AI models are getting really good at history, especially in specific areas. They can help with tasks like translating old texts and offering historical context.
  2. While some people worry that AI tools lead to cheating in education, they can also enhance research efficiency. They help researchers to gather information and insights quickly.
  3. Despite AI's advancements, human creativity and understanding are still irreplaceable. There's a recognition that the unique human experience and thoughts are valuable and cannot be fully replicated by AI.

Kimi K2 Thinking

Don't Worry About the Vase • 1881 implied HN points • 11 Nov 25
đź•ą Technology Machine Learning Benchmarking Open Source AI Models
  1. Kimi K2 Thinking is an advanced open-source AI model with features like a large context window and the ability to perform multiple tasks without human help. It's designed to excel in writing, reasoning, and using tools efficiently.
  2. While it performs well on some benchmarks, there are mixed reviews regarding its overall practical effectiveness compared to other models, like GPT-5. Some users think it's good enough for certain tasks but not great in others.
  3. There's less excitement around Kimi K2 Thinking than expected for such a strong model. Many users are curious about its performance but haven't provided much feedback, leaving its real-world effectiveness somewhat unclear.

How does Notion handle 200 billion data entities?

VuTrinh. • 519 implied HN points • 06 Aug 24
đź•ą Technology Analytics Database Management Data Engineering Machine Learning
  1. Notion uses a flexible block system, letting users customize how they organize their notes and projects. Each block can be changed and moved around, making it easy to create what you need.
  2. To manage the huge amount of data, Notion shifted from a single database to a more complex setup with multiple shards and instances. This change helps them handle stronger user demands and analytics needs more efficiently.
  3. By creating an in-house data lake, Notion saved a lot of money and improved data processing speed. This new system allows them to quickly get data from their main database for analytics and support new features like AI.

The problem with psychology is that it has no theory

Something to Consider • 1019 implied HN points • 07 Jul 24
đź“– Philosophy Psychology Economics Science Theories Human behavior
  1. Psychology lacks a solid theoretical framework, making it difficult to draw reliable conclusions from research. Without a guiding theory, findings can feel random and disconnected.
  2. Economics, on the other hand, is built on clear theories that help explain and predict human behavior in markets. These theories allow economists to make strong and testable predictions.
  3. A theory in economics helps researchers know what to expect, and it can influence actual outcomes in the real world, unlike the often unclear results in psychology.

You just don't understand

Respectful Leadership • 326 implied HN points • 23 Jan 26
đź’Ľ Business Communication Workplace Teamwork Leadership Management Meetings
  1. People can seem to be talking to each other while actually talking to different people, so their words line up but there’s no real understanding.
  2. Meetings can create a false sense of agreement when participants use the same words but mean different things.
  3. Superficial or misaligned communication leads to awkward, partial results and leaves people frustrated.

Lessons from Building AI Agents for Financial Services

Nicolas Bustamante • 435 implied HN points • 24 Jan 26
đź•ą Technology Data Engineering UX Security MLOps Agents AI
  1. Isolated sandboxes and an S3-first, filesystem-backed architecture are essential for safely running multi-step agent workflows and giving each user a private, replayable execution environment.
  2. Clean, normalized context is the product: chunked markdown narratives, structured CSV/tables, and rich JSON metadata are what let agents reliably reason over messy financial sources like SEC filings.
  3. Skills plus the surrounding experience are the moat: lightweight, editable markdown skills, rigorous evals, real-time streaming UX, long-running orchestration, and production monitoring make the product reliable and defensible as models improve.

War, fake videos, and engagement farming

Conspirador Norteño • 48 implied HN points • 08 Mar 26
đź•ą Technology Social media Misinformation Media Algorithms AI
  1. Spammy pages are using AI to generate fake videos of the Middle East conflict and posting them across platforms like Facebook, X, Instagram, TikTok, and YouTube.
  2. Many clips show clear signs they’re fake — unrealistic explosions, no real damage, people speaking fluent American English in non‑English locations, and made‑up weapons or effects.
  3. Recommendation algorithms are amplifying these videos, and as long as clicks and views pay off, content farms will keep repurposing and renaming accounts to farm engagement.

Just us

Philosophy bear • 143 implied HN points • 21 Feb 26
đź“– Philosophy Power Dynamics Political Philosophy Ethics Civil Disobedience Activism Social justice Privacy
  1. Activist circles practice strict operational security: they keep phones far away, use encrypted apps like Signal, and avoid discussing illegal acts even in private chats.
  2. Their direct actions are mostly modest—occupying buildings, graffiti, lock-ons, squatting, and small-scale property damage—and are driven by a sense of justice rather than a desire to harm people.
  3. There’s frustration that powerful people often act recklessly and leave clear evidence, which feels hypocritical compared with how careful ordinary activists must be.

How I Run System Design Interviews for Data Engineers

SeattleDataGuy’s Newsletter • 1036 implied HN points • 09 Dec 25
đź•ą Technology AI Integration Software Development System Design Interviews Data Engineering
  1. Using the 'exploration' approach in interviews helps candidates show their true understanding of data engineering. It starts with a broad view and zooms into details, making for engaging, productive conversations.
  2. Creating a human connection during interviews is important. Small personal introductions can ease candidates' nerves, allowing them to perform better when discussing technical topics.
  3. Assessing both breadth and depth of knowledge is key in interviews. Good candidates can explain how different data technologies work together and understand the reasoning behind their choices.