The hottest Substack posts right now

according to Hacker News
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⏸️💨 The pause before the gale

Faster, Please! • 1462 implied HN points • 06 Feb 26
🕹 Technology Innovation AI Automation Enterprise Software Productivity Labor markets Investment
  1. AI is currently creeping into many jobs and industries unevenly, but its technical capabilities are improving fast and could trigger a sudden, much bigger shift down the road.
  2. The short-term picture is mixed: some firms will see big productivity gains while many workers and incumbent businesses face disruption, and public anxiety can amplify market volatility.
  3. If companies invest more in data, systems integration, and reorganizing work, AI could move beyond automating tasks to raise overall productivity and unlock large gains in growth, wages, health, and education.

1st Look at Local Housing Markets in February

CalculatedRisk Newsletter • 229 implied HN points • 06 Mar 26
💰 Finance Economic Indicators Real Estate Housing Market Mortgages Home Sales Market Data Local Markets
  1. Existing home sales look to be flat or slightly down year‑over‑year, with early-reporting markets showing about a 2.9% drop and sales well below February 2019 levels.
  2. New listings and active inventory are rising — new listings were up roughly 5.5% year‑over‑year and active inventory climbed about 12%, so more supply is coming onto the market.
  3. Local conditions vary: Las Vegas is seeing slower sales, lower prices and rising inventory, while the Pacific Northwest has transactions down around 3% and listings up about 28% even as mortgage rates sit near 6.1%.

AI Links, 2/20/2026

In My Tribe • 334 implied HN points • 20 Feb 26
🕹 Technology Artificial Intelligence Automation Labor markets Social Impact AI Ethics Tech Policy
  1. AI is creating a new, more capable socio-technical order that will give adopters far more power to shape the future while leaving non-adopters increasingly disempowered.
  2. AI-driven change is compressing historical timelines and accelerating disruption, so society may hit breaking points faster than normal adaptation can handle, making outcomes more unpredictable.
  3. Current AI reliance on internet-trained data risks centralizing and biasing our knowledge base and, together with a shift from chatbots to agentic tools, is changing what skills and resources matter—widening the gap between those who adapt and those who fall behind.

Yeah, so... Substack, I'm out.

The Future, Now and Then • 615 implied HN points • 20 Feb 26
🕹 Technology Venture Capital Platforms Social media Creator Economy Monetization Moderation
  1. The Polymarket integration turns parts of the platform into a gambling venue and creates incentives for writers to promote outcomes that could profit them, opening the door to conflicts of interest and market manipulation.
  2. Substack’s VC-driven business model pushes gimmicks and risky partnerships over improving the core product, which fuels a slide toward worse content moderation and the amplification of toxic or extremist voices.
  3. Many writers will look to migrate to alternatives like Ghost, Beehiiv, or Buttondown, but moving means losing Substack discovery, paying higher hosting fees, and likely asking readers to help fund the newsletter.

Entrevista a Grady Booch

Érase una vez un algoritmo... • 39 implied HN points • 27 Oct 24
🕹 Technology Ethics Modeling Computer Science Software Engineering AI Development
  1. Grady Booch is a key figure in software engineering, known for creating UML, which helps developers visualize software systems. His work has changed how we think about software design.
  2. He emphasizes the ongoing evolution in software engineering due to changes like AI and mobile technology. Adaptation and continuous learning are essential for success in this field.
  3. Booch advocates for ethics in technology development, stressing the need for education and accountability among tech leaders to ensure responsible use of AI and other emerging technologies.
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AI #152: Brought To You By The Torment Nexus

Don't Worry About the Vase • 2150 implied HN points • 22 Jan 26
🕹 Technology Artificial Intelligence Startups Robotics Business Models Hardware Regulation AI safety Machine Learning
  1. Big AI products are shifting to ad-driven and personalized business models, which raises privacy, incentive, and trust concerns about how answers and user data will be used.
  2. Capabilities are advancing fast — from better assistants and image/audio generation to widespread deepfakes and job-displacing automation — creating real harms, economic disruption, and geopolitical pressure over compute and chips.
  3. Alignment and safety remain unsolved and fragile: current evaluation metrics can be gamed, persona drift and deception are real risks, and trying to hide or censor discussions of misalignment often backfires.

When Will They Take Our Jobs?

Don't Worry About the Vase • 2643 implied HN points • 14 Jan 26
🕹 Technology Artificial Intelligence AI Governance Economic Policy Future work Labor markets Automation
  1. If very capable AI is widely unleashed, humans could lose control of the future and even face extinction; we should not assume people automatically remain the beneficiaries of an AI-driven economy.
  2. The Cyborg Era—where humans and AI jointly do work—may last on the order of 10–20 years, but it will likely bring high transitional unemployment and a steady shrinking of meaningful human labor as AI gets better.
  3. Policy should not rush to preserve jobs now; instead the priority is preventing loss of control and addressing existential risks, with job-focused interventions left for when clearer evidence emerges.

Advancements In Self-Driving Cars

Don't Worry About the Vase • 3136 implied HN points • 07 Jan 26
🕹 Technology Autonomous Vehicles Safety Regulation Transportation AI
  1. Waymo is rapidly expanding driverless service across many cities and freeways, but growth depends on getting more vehicles and clearing state and local regulatory hurdles.
  2. Autonomous cars are already much safer than human drivers and act cautiously in events like power outages, yet those incidents show the need for better protocols and sensible rule changes (for example on speed limits).
  3. Widespread self-driving will reshape daily life—giving huge benefits to cyclists, the elderly, and deliveries while disrupting driving jobs—so policy choices must manage those social and economic impacts.

Cursed circuits #4: PLL frequency multiplier

lcamtuf’s thing • 4081 implied HN points • 26 Dec 25
🕹 Technology Digital Design Hardware Signal Processing Electronics
  1. Latches and clocked D flip-flops store single bits and let signals be sampled on clock edges, providing the basic timing building blocks for digital circuits.
  2. A digital phase detector uses flip-flops to see which clock edge arrives first and produces pulses that indicate whether a tested clock is running too fast or too slow.
  3. A PLL closes the loop by using that detector to steer a VCO, and by inserting a divider in the feedback the VCO will lock at an integer multiple of the reference frequency, turning a low-frequency clock into a higher-frequency, phase-aligned clock.

Kubernetes for Data Engineers

VuTrinh. • 859 implied HN points • 03 Sep 24
🕹 Technology Cloud Computing Infrastructure Software Development DevOps Data Engineering
  1. Kubernetes is a powerful tool for managing containers, which are bundles of apps and their dependencies. It helps you run and scale many containers across different servers smoothly.
  2. Understanding how Kubernetes works is key. It compares the actual state of your application with the desired state to make adjustments, ensuring everything runs as expected.
  3. To start with Kubernetes, begin small and simple. Use local tools for practice, and learn step-by-step to avoid feeling overwhelmed by its many components.

$89 Lifetime Lunduke Journal Subscriptions all January!

The Lunduke Journal of Technology • 2297 implied HN points • 09 Jan 26
🕹 Technology Tech Journalism Payments Community Platforms Subscriptions Monetization
  1. A limited-time sale offers lifetime subscriptions for $89 when paid with Bitcoin or $99 via other platforms, a big discount from the regular $300 price, valid through January 31, 2026.
  2. Monthly and yearly plans are half off during the sale,-priced at $3 per month or $27 per year.
  3. Subscriptions include perks like forum access, DRM-free video downloads, and ebooks, and can be purchased via Substack, Locals, or Bitcoin (Bitcoin payments are cheaper due to lower fees).

The PULSE Framework: Start With the Vitals, Not the Narrative

Behavioral Value Investor • 200 implied HN points • 09 Mar 26
💰 Finance Corporate Finance Valuation Investment strategy Equity Research Financial Modeling Portfolio Management
  1. Use the PULSE framework as a fast triage tool that pulls five financial "vitals" from all three statements so you can quickly sort stocks into not interesting, attractive-but-expensive, or attractive-at-a-good-price. This lets you focus deeper research only on the most promising ideas.
  2. Look first at Economic Profit over time and Underlying Free Cash Flow (adjusted for stock options and compared to net income) to see if a business truly earns above its cost of capital and converts profits into real cash. Consistent, rising economic profit and a healthy FCF-to-net-income ratio signal higher quality.
  3. Always check leverage and valuation together: use Net Debt/EBITDA to spot risky capital structures, a Smoothed FCF yield (multi-year average brought forward by expected growth) to assess sustainable valuation, and an EV cap rate (last 12 months plus debt) to avoid companies that only look cheap because of heavy debt. Combining these measures helps catch hidden risk and find genuinely attractive prices.

2025 Year in Review

Don't Worry About the Vase • 3628 implied HN points • 31 Dec 25
🕹 Technology Compute Hardware Artificial Intelligence Model releases Industry Trends Tech Policy AI safety Machine Learning
  1. AI made fast, practical advances across reasoning, coding, images, and video this year, with standout model releases that moved everyday capabilities forward even if progress felt uneven and often incremental.
  2. Policy and corporate battles — from export-control fights and chip sales to OpenAI’s for-profit conversion — had huge effects on safety, competitiveness, and who keeps technological advantage.
  3. The best response is to focus on durable work: prioritize evergreen resources, do more coding and careful triage, and publish fewer high-impact pieces rather than chasing every headline.

The Sequence Radar #824: Last Week in AI: Sovereign Lobsters, Self-Coding Agents, and Gigawatt Factories

TheSequence • 126 implied HN points • 15 Mar 26
🕹 Technology Artificial Intelligence Compute Funding Research Autonomous Agents AI Infrastructure Machine Learning Startups
  1. AI is rapidly shifting from chat assistants to autonomous, persistent workers that can plan, act, and even modify their own code, enabling self-improving research loops and agentic code review.
  2. Multi-agent frameworks and locally hosted persistent agents are spreading quickly, letting individuals automate complex workflows while also creating serious security and governance risks when agents gain deep system access.
  3. Massive capital is pouring into compute and new model paradigms — gigawatt-scale GPU factories and billion-dollar bets on grounded "world models" — alongside releases like multimodal embeddings that make retrieval and agent memory far more powerful.

CEO resigns. Stock down. Is Adobe ($ADBE) worth a look? | PULSE Framework

Behavioral Value Investor • 118 implied HN points • 13 Mar 26
💰 Finance Financial Analysis Equities Valuation Investing Corporate Finance Fundamentals
  1. The PULSE framework is a quick triage tool that uses five financial signals to decide if a stock deserves deeper research.
  2. Adobe scores very well on economic profits, underlying free cash flow, and low leverage, while its smoothed FCF yield and EV cap rate (around 7%+) make it interesting despite recent CEO news and AI fears.
  3. This is a historical, high-level screen—not a buy recommendation—so you should do detailed, independent research before considering an investment.

Meaning in life can be found in death

Disaffected Newsletter • 2497 implied HN points • 03 Aug 24
📖 Philosophy Humanism Existentialism Meaning Death Ethics
  1. Caring for the dead can be a deeply meaningful experience. It connects us to our loved ones and reminds us of the significance of life.
  2. Many people are surprised to learn they have the right to care for their own deceased family members. Understanding these rights helps empower individuals during tough times.
  3. The practice of home funerals allows families to be active participants in the grieving process, which can be more healing than relying solely on professional services.

Is Social Media Becoming 'Hollow Media'?

In Bed With Social • 277 implied HN points • 13 Oct 24
🕹 Technology Digital Culture Community Engagement Artificial Intelligence Social media User Experience
  1. Social media is increasingly becoming artificial, with bots and AI taking over real human interactions. These digital companions might seem helpful but they are not real friends.
  2. The rise of AI and superficial connections is causing loneliness, as people miss out on genuine interactions. Meaningful relationships require vulnerability and real dialogue, which AI can't provide.
  3. Some new platforms are showing that authentic connections can still exist. Apps focused on shared hobbies or interests are creating real communities, reminding us that human experiences are vital to social networks.

AI #150: While Claude Codes

Don't Worry About the Vase • 3001 implied HN points • 08 Jan 26
🕹 Technology Jobs Products Regulation AI safety Machine Learning Artificial Intelligence Chips
  1. AI tools and advanced chat models have reached critical mass and are reshaping everyday workflows, making people more productive across coding and non‑coding tasks through agents, extensions, and integrations.
  2. Generative models make fake documents, images, and videos easy to create, so verifying sources and prioritizing real, sustained human experiences is becoming increasingly important.
  3. Huge funding and rapid deployment are accelerating AI’s economic impact, but benchmarks, regulation, and safety practices lag behind, leaving big uncertainties about jobs, markets, and long‑term risks.

What the markets are saying

Substack Blog • 654 implied HN points • 18 Feb 26
🕹 Technology Product Platforms Creator tools Data Integration Visualization Search Publishing
  1. Substack now lets creators embed live Polymarket prediction market data directly in both Notes and full posts, so odds update automatically while you write or comment.
  2. You can search for Polymarket markets from the editor and insert them without leaving Substack, and embeds automatically change their visuals to match yes/no questions, multi-outcome rankings, or percentages.
  3. Polymarket has joined a creator sponsorship pilot to support writers who use these tools, and many top publications already use prediction market embeds to inform reporting and spark discussion.

Stealing AI: New Cyber Threats In The GenAI Era

High ROI Data Science • 79 implied HN points • 24 Oct 24
🕹 Technology Data Privacy Cybersecurity
  1. Human errors and social engineering are significant risks in cybersecurity, even with strong defenses. Phishing attacks are becoming more sophisticated and can catch businesses off guard.
  2. Businesses need a holistic approach to data and AI security instead of treating them as separate issues. Better collaboration across technical teams is crucial for effective risk management.
  3. Emerging threats like data poisoning in AI systems require constant vigilance. Preventative measures and strong recovery plans are essential to protect data integrity and ensure business continuity.

Exposing and Fixing the Media’s Relationship with Shady Finance

The Save Journalism Committee • 309 implied HN points • 01 Mar 26
💰 Finance Consumer Protection Crowdfunding Fraud Investing Markets Regulation Securities
  1. Major newsletters accepted paid crowdfunding ads without adequate vetting or clear disclosures, which lent prestige to misleading pitches and left ordinary readers exposed to big financial losses.
  2. Crowdfunded startup markets suffer severe information asymmetry—most deals look like lemons to outside investors—so casual retail buyers are much more likely to lose money than to get rich.
  3. There are clear fixes: require plain‑English, prominent financial disclosures on fundraising pages, add stronger consumer warnings or consent steps, and either tighten or eliminate risky crowdfunding programs while publishers refuse ads they haven’t properly vetted.

Chartbook 427: Presence of mind and the present as prognosis - Reading Walter Benjamin.

Chartbook • 1788 implied HN points • 19 Jan 26
📖 Philosophy Political theory Marxism Epistemology Methodology Intellectual history
  1. Modern life moves so fast that we often only perceive events after they change, so political action must try to foresee the present by anticipating the near future.
  2. Being truly present — having presence of mind — is a rare and valuable skill that lets people respond quickly and appropriately to unfolding events.
  3. A practical historical method combines long experience, common sense, presence of mind, and dialectical thinking, treating history as a set of dangers to spot and avert through anticipation.

A Visual Guide to Quantization

Exploring Language Models • 5092 implied HN points • 22 Jul 24
🕹 Technology Artificial Intelligence Computer Science Data processing Software Engineering Machine Learning
  1. Quantization is a technique used to make large language models smaller by reducing the precision of their parameters, which helps with storage and speed. This is important because many models can be really massive and hard to run on normal computers.
  2. There are different ways to quantize models, like post-training quantization and quantization-aware training. Post-training means you quantize after the model is built, while quantization-aware training involves taking quantization into account during the model's training for better accuracy.
  3. Recent advances in quantization methods, like using 1-bit weights, can significantly reduce the size and improve the efficiency of models. This allows them to run faster and use less memory, which is especially beneficial for devices with limited resources.

China's Silent Depression: An Unseen Economic Crisis

COVID Reason • 237 implied HN points • 14 Oct 24
💰 Finance Debt Globalization Real Estate Crisis Economics
  1. China had a huge economic boom driven by global demand for its products, creating an illusion of strong governance.
  2. The 2008 global crisis revealed China's vulnerabilities, leading to rising debt and a focus on real estate to cope with slowed growth.
  3. Now, China's heavy debt and real estate issues are growing problems, signaling a decline in globalization that previously supported its economy.

The Corporate Life Cycle: Managing, Valuation and Investing Implications

Musings on Markets • 1438 implied HN points • 20 Aug 24
💼 Business Management Valuation Corporate Finance Investment Strategies Economic Trends
  1. Businesses, like people, go through life cycles. They start as new ideas, grow, and eventually decline if not managed properly.
  2. Companies age differently, impacting their strategies and financial health. Younger companies often focus on growth, while older ones need to defend their position or manage decline.
  3. The skills and qualities needed in leadership change with a company's age. A startup needs a visionary leader, while a declining company may require a pragmatic approach to manage its downsizing.

An Ugly New Marketing Strategy Is Driving Me Nuts (and You Too)

The Honest Broker • 30453 implied HN points • 11 Jun 25
💼 Business Economics Digital Platforms Consumer behavior Advertising Marketing
  1. A new marketing trend encourages companies to annoy customers instead of trying to sell to them. This strategy makes people want to pay for premium services just to escape the annoying ads.
  2. Digital platforms now focus on grabbing user attention through irritating tactics. This creates an 'Annoyance Economy' where companies prioritize engagement over good customer experience.
  3. Customers are getting fed up with these annoying practices, and some are even choosing to walk away from brands altogether. Companies that ignore this feedback risk losing their customers in the long run.

How the US Won Back Chip Manufacturing

ChinaTalk • 504 implied HN points • 17 Feb 26
🕹 Technology National Security Semiconductors Manufacturing Supply Chains Industrial Policy R&D
  1. A focused mix of big incentives (like an investment tax credit and targeted grants) plus a small, execution‑focused team is what actually accelerated a large semiconductor fab buildout in the U.S., not just market demand alone.
  2. Effective industrial policy needs the right balance of simple market tools and discretionary powers for urgent problems, and it must be governed with transparency and insulation from politics or public trust breaks down.
  3. To make this repeatable, the country needs durable state capacity that can attract talent, deploy capital, accept some failures, and differentiate between defensive fixes for chokepoints and offensive bets on future enabling R&D.

bAXS is LIVE!

The Lunacian • 506 implied HN points • 26 Feb 26
🔮 Crypto Airdrops NFTs Gaming Staking Tokens Governance
  1. bAXS is live and functions like AXS inside the Axie ecosystem, letting you stake, breed, ascend, evolve, mint Runes/Charms, and pay for in‑game actions while remaining non‑transferable outside Axie.
  2. A first airdrop from a 100,000 bAXS pool is coming soon; eligible wallets (those with at least 10 AXS staked at the snapshot) receive allocations based on Axie Score and staked amount, and you can claim/check your allocation on App.Axie.
  3. Staking is consolidated on App.Axie (legacy staking page deprecated); bAXS can be staked for AXS rewards and full voting power, and converting bAXS to AXS uses an Axie Score–based rate that can reduce returned AXS with the difference going to the treasury to encourage in‑ecosystem use.

Get Good at Agents

Democratizing Automation • 1615 implied HN points • 21 Jan 26
🕹 Technology Research Developer Tools Automation Productivity Machine Learning AI Software Engineering
  1. Modern AI agents can do long, independent work, so human roles are shifting from hands-on execution to directing and designing systems. Learn to point and manage multiple agents in parallel instead of micromanaging every detail.
  2. Work should become more open-ended, ambitious, and asynchronous—give agents meaningful, long-running tasks rather than tiny chores. Spend less time grinding and more time calmly thinking so you can better guide the agents.
  3. Becoming skilled at using and orchestrating agents is a growing career moat because raw software work is getting cheaper. Practice experimenting with agents on hard problems to learn their limits and focus on high-value decision making and system design.

More bits is better, right?

filterwizard • 59 implied HN points • 01 Oct 24
🕹 Technology Signal Processing Quantization
  1. Increasing the bit width of an ADC can improve data accuracy, but it doesn't always work as expected.
  2. Quantization can cause significant errors, especially with low-level signals, leading to misleading results.
  3. Using dither helps improve the accuracy of the signal output from an ADC, making it better for capturing lower signal levels.

AI and the Economy

In My Tribe • 455 implied HN points • 14 Feb 26
💼 Business Automation Labor markets Productivity Macroeconomics Wages Inequality Tech Impact
  1. A public bet claims the economy will stay basically normal through February 2029 using concrete metrics and a strict condition that no occupational category loses 50% or more of its jobs, but that hinges on how categories are defined.
  2. The writer thinks the bettor has roughly a 60% chance of winning over three years but expects AI to cause much bigger economic and labor-market changes over a 6–8 year horizon.
  3. Quick uptake of new AI tools by younger workers suggests they could outcompete today’s workforce, and ambiguous terms in short-term wagers make those bets risky.

What's In A List—Yes, But What's *Really* In A List

The Python Coding Stack • by Stephen Gruppetta • 259 implied HN points • 13 Oct 24
🕹 Technology Education Python Programming Data Structures Computing
  1. In Python, lists don't actually hold the items themselves but instead hold references to those items. This means you can change what is in a list without changing the list itself.
  2. If you create a list by multiplying an existing list, all the elements will reference the same object instead of creating separate objects. This can lead to unexpected results, like altering one element affecting all the others.
  3. When dealing with immutable items, such as strings, it doesn't matter if references point to the same object. Since immutable objects cannot be changed, there are no issues with such references.

Maybe, finally—the end of SQL

benn.substack • 1380 implied HN points • 23 Jan 26
🕹 Technology AI Developer Tools Analytics Data Engineering Programming Databases
  1. Writing and reading SQL demand different styles: shortcuts and shorthand speed up writing but make queries harder to understand, and teams often prioritize writing convenience over clarity.
  2. With AI generating much of the code, development has shifted to a "vibe and verify" model, but data work is hard to verify because queries and analyses are difficult to check by eye or prose alone.
  3. The solution is better representations for comprehension — diagrams, clearer formatting, or a language/app that turns any query into an accessible, annotated picture so humans can quickly verify what the computation actually did.

Lessons from building AI Features

Alex Ghiculescu's Newsletter • 135 implied HN points • 14 Mar 26
🕹 Technology Machine Learning Artificial Intelligence Testing Developer Tools Product Development Software Engineering
  1. Use patterns from AI coding like letting users write rules (a CLAUDE.md style) and adapt those proven ideas to your own domain.
  2. Don’t rely on LLMs for fast, deterministic checks; use them to parse or translate freeform input into structured rules, then run the actual validation in code.
  3. Build a test harness and make debugging easy by writing unit-style evals for the AI parts and exposing clear outputs so both developers and users can inspect and trust results.

💥 AI anxiety: Is 'something big happening,' really?

Faster, Please! • 1005 implied HN points • 11 Feb 26
🕹 Technology Productivity Artificial Intelligence Economic Impact Labor markets Tech Adoption AI safety
  1. AI capabilities are advancing quickly and could approach broad human-level skills, but that doesn’t mean the world will transform overnight.
  2. Turning impressive AI demos into widespread impact takes years because businesses need new data systems, process redesign, regulation, and worker retraining, and early investment can even depress measured output before benefits appear.
  3. Even large productivity gains won’t automatically produce runaway growth since people may choose more leisure, many services resist automation, and the slowest sectors or infrastructure bottlenecks set the economy’s speed limit.

What's up Python? Astral's new service, pandas 3 and a new ORM...

Bite code! • 1223 implied HN points • 05 Feb 26
🕹 Technology Programming Open Source Web Development Databases Data science Developer Tools
  1. UVX.sh lets anyone install and run CLI tools published on PyPI without needing a local Python setup, making one-shot installs and sharing tools much faster and simpler.
  2. Pandas 3 changes defaults to real string dtypes, enforces consistent copy-on-write for indexing to avoid surprising mutations, and adds a functional col API to encourage clearer and faster data transformations.
  3. Oxyde is an async-first ORM with Pydantic typing, Django-like ergonomics, built-in migrations, and n+1 safety nets, offering high performance and modern ergonomics but still being early-stage for critical long-term projects.

My Wishlist for 12 Substack Enhancements

The Honest Broker • 18484 implied HN points • 10 Aug 25
🕹 Technology User Experience Content creation Online Platforms Digital Media Software Tools
  1. Substack raised $100 million to improve tools and support for writers. This means they want to help creators gain new opportunities.
  2. Ideas for enhancements include creating platforms for music, video, and film, which would help independent creators gain more visibility and connect with audiences.
  3. Substack should provide more customization options for creators, like better layouts and fonts, and functions like embedding images in comments to enhance user experience.

10 Things People Don't Realize About Scrum

Ageling on Agile • 119 implied HN points • 20 Oct 24
💼 Business Management Agile Training Leadership
  1. Scrum isn't just about short-term goals; it focuses on the long-term vision for the product. The Product Owner plays a key role in setting a clear Product Goal and regularly reviews progress.
  2. The purpose of a Sprint is to learn and adapt, not just to deliver a set amount of work. Each Sprint acts as a learning cycle where teams reflect and plan the next steps based on what they've achieved and learned.
  3. The Scrum Master is more than just a facilitator; they are also responsible for helping the whole organization adopt Scrum effectively. They guide both the team and other stakeholders to understand their roles in the process.

The $1000 side-project

Tiny Empires • 306 implied HN points • 21 Feb 26
💼 Business Product Sales Growth Entrepreneurship Startups Marketing Pricing
  1. Pick a tiny, focused product you can build and sell quickly so you learn what customers actually want instead of spending months on something no one buys.
  2. Solve problems you personally understand and validate early by selling manually to your first customers; direct feedback from those first sales beats fancy marketing funnels at the start.
  3. Price your product properly, keep costs minimal, and commit to one compounding marketing channel so revenue can grow sustainably — higher prices and low expenses make $1k/month actually useful.

Cursed circuits #3: true mathematics

lcamtuf’s thing • 3877 implied HN points • 22 Dec 25
🕹 Technology Circuit Design Electronics Signal Processing Semiconductors
  1. An op-amp simply amplifies the voltage difference between its inputs by a huge factor, and with feedback you force its inputs to be nearly equal so passive parts (resistors, diodes, caps) can be arranged to perform math instead of just gain.
  2. Addition and subtraction are straightforward: resistor networks can average or sum signals and a non‑inverting amplifier scales them to produce a true sum, while difference amplifiers give Vout ≈ VA − VB and can be biased to work on a single supply.
  3. Harder operations are possible too: multiplication/division can be done with log/antilog converters that use the diode’s exponential V–I curve plus a summing stage, and integration is implemented by charging a capacitor with a controlled current to produce precise ramps, though these analog tricks need careful biasing and have practical limits (rails, linearity, noise).