The hottest Substack posts right now

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China's AI IPOs have me all jealous

Alex's Personal Blog • 98 implied HN points • 31 Dec 25
💼 Business Consumer apps Semiconductors Enterprise IPOs Financials Startups AI
  1. Twitter/X plans to raise creator payouts to get more unique user data for its AI and says it can block most fraud, which will likely push more incentivized posting.
  2. Meta’s buy of Manus signals a real push into enterprise AI, aiming to sell hosted models and agentic tools to companies instead of just using AI to support ads.
  3. Chinese AI firms like MiniMax are going public early with rapid consumer-driven revenue growth but remain unprofitable due to heavy R&D and weak consumer margins; the big test is whether they can scale higher-margin enterprise revenue without giving away too much value through open models.

How to Be a 30x AI Engineer with a Taste

Pratik’s Pakodas 🍿 • 10 implied HN points • 19 Feb 26
🕹 Technology Architecture Software Engineering AI User Experience Developer Tools Careers Product Strategy
  1. Taste — the ability to evaluate work, choose what to build, and foresee what will matter — is now the most valuable engineering skill because AI can generate code itself.
  2. Engineers with strong taste make compounding decisions about product, architecture, and quality that drive outsized impact and pay, and that depends on adjacent skills like product thinking, user empathy, and clear communication.
  3. Taste can be developed deliberately through practice: study great products and papers, do side-by-side critiques, prototype rapidly, and run projects like evaluation rubrics, onboarding redesigns, or timeboxed product builds to train recognition, compass, and vision.

How To Overcome Distractions And Boost Your Opportunities

Day One • 439 implied HN points • 30 Mar 24
💼 Business Content creation Goal setting Personal Branding Entrepreneurship Productivity
  1. The mind gives up before the body, so don't let mental barriers dictate physical limits.
  2. Focus on a clear vision and roadmap to avoid distractions and make progress in your goals.
  3. Building a personal brand, monetizing it, and starting a company are three essential stages to follow in growing your opportunities.

Announcing GreatGamesNetwork

Let's talk games & AI. • 6 implied HN points • 09 Mar 26
💼 Business Distribution Strategy Marketing Monetization Startups Gaming Product
  1. A new games company is focusing on evergreen casual puzzle games aimed at older women, betting these titles drive long-term engagement without a constant content treadmill.
  2. The business uses a syndication model: build one game library and publish the same games across many destinations (daily challenges, SEO-optimized sites, saga-style apps), so small revenue streams aggregate at low marginal cost.
  3. The flagship product is an ad-free daily puzzle subscription with a few games live now, and growth will rely on paid user acquisition, iterative product improvement, repeatable tooling, and public metrics to guide progress.

Innovation Job Market Papers 2025 (1/2)

New Things Under the Sun • 96 implied HN points • 24 Dec 25
🕹 Technology R&D Innovation Mergers Policy Trade Patents Startups
  1. How firms are organized and how markets are structured strongly shape what and where innovation happens: design choices, mergers, venture funding, ownership patterns, and hiring networks all change firms’ incentives and their ability to innovate.
  2. Policies and external forces steer innovation incentives and diffusion: trade exposure, intellectual property rules, PhD programs, regulation of acquisitions, and shocks like extreme heat shape both the quantity and direction of technological change.
  3. Knowledge dynamics—recombination, spillovers, and evaluation—drive growth but create frictions: combining existing ideas fuels much innovation, spillovers make private returns fall short of social returns, and testability or weak exit markets can limit which ideas and startups capture value.
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HashMap is a Data Structure every SWE should know.

System Design Classroom • 239 implied HN points • 24 May 24
🕹 Technology Development Computer Science Algorithms Data Structures Software
  1. Hashmaps are useful for storing data by connecting unique keys to their values, making it easy to find and retrieve information quickly.
  2. When two different keys accidentally produce the same hash code, it's called a collision. There are ways to handle this, like chaining and open addressing.
  3. Hashmaps can do lookups, insertions, and deletions really fast, usually in constant time, but they can slow down if too many items cause collisions.

The Hadoop Distributed File System

VuTrinh. • 259 implied HN points • 18 May 24
🕹 Technology Software Architecture Data Storage Cloud Computing Big Data
  1. Hadoop Distributed File System (HDFS) is great for managing large amounts of data across many servers. It ensures data is stored reliably and can be accessed quickly.
  2. HDFS uses a NameNode that keeps track of where data is stored and multiple DataNodes that hold actual data copies. This design helps with data management and availability.
  3. Replication is key in HDFS, as it keeps multiple copies of data across different nodes to prevent loss. This makes HDFS robust even if some servers fail.

February Newsletter

RSS DS+AI Section • 29 implied HN points • 01 Feb 26
🕹 Technology AI Ethics Open Source Applications Research Data science Machine Learning Artificial Intelligence
  1. AI misuse and ethical risks are increasing — deepfakes, automated exploit generation, bias, and job impacts mean security, fairness, and regulation need urgent attention.
  2. Research is advancing rapidly across many fronts, including model consistency, memory/lookup mechanisms, test-time training, decentralized and open-source models, and early work on AI systems that can improve themselves.
  3. Practical resources and community activity are abundant, with tutorials, benchmarks, tools, academic outlets, and job opportunities helping practitioners deploy AI responsibly and learn new skills.

Meet the Team Bringing AI Agents to Minecraft

A16Z GAMES • 439 implied HN points • 29 Mar 24
🕹 Technology Innovation AI Gaming Startups
  1. Altera is developing AI agents for Minecraft that can interact autonomously and learn from player interactions.
  2. The team at Altera, including MIT PhDs and ex-Google AI engineers, aims to create agents with episodic memory and the ability to set their own goals.
  3. Altera's long-term goal is to expand their AI agents to other games like Roblox and integrate their technology with game engine SDKs for wider developer use.

Clouded Judgement 2.27.26 - The Poison of Inertia

Clouded Judgement • 14 implied HN points • 27 Feb 26
💼 Business Valuation AI Cloud SaaS Strategy Workforce Sales
  1. AI is rapidly changing how work gets done, letting smaller, flatter teams and new tools replace old roles and prompting big reorganizations and layoffs to remove inefficiency.
  2. Large incumbents are crippled by organizational inertia and often need to rewrite playbooks or start fresh, untethered units to adapt to new platform shifts.
  3. AI will materially lower software production costs, so legacy players must proactively cut bloat and restructure their cost base or risk being undercut by cheaper, modern competitors.

The AI Conversations That Shaped 2023

Gradient Flow • 878 implied HN points • 28 Dec 23
🕹 Technology Podcasts AI Machine Learning Data science Books
  1. AI and machine learning advancements in 2023 sparked vibrant discussions among developers, focusing on topics like large language models, infrastructure, and business applications.
  2. Technology media shifted its focus to highlight rapid AI advancements, covering diverse AI applications across industries while also addressing concerns about deepfakes and biases in AI systems.
  3. The book 'Mixed Signals' by Uri Gneezy was named the 2023 Book of the Year, offering insights on how incentives shape behavior in AI, technology, and business, with a focus on aligning incentives with ethical values.

A Tech Interview that Doesn't Suck

Jacob’s Tech Tavern • 2186 implied HN points • 02 Dec 24
🕹 Technology Hiring Engineering Software Skills Interviews
  1. Hiring great team members is really important because it affects everyone's work speed. Good hires help the team, while bad ones slow everyone down.
  2. Many tech companies rely on LeetCode tests to screen candidates, but this method might not show true skills. There could be better ways to assess coding abilities.
  3. Finding a more effective hiring process can improve how companies choose candidates, leading to better outcomes for teams. It's all about making informed decisions.

The Technological Revolution that could Supercharge the World's Batteries

Material World • 1783 implied HN points • 26 Jan 25
🕹 Technology Engineering Materials Electronics Innovation Batteries
  1. Silicon carbon batteries are exciting because they can store more energy and charge faster than regular graphite batteries. This means better battery life for smartphones and even electric cars.
  2. The challenge with silicon anodes is that they swell a lot when charging, which can damage the battery. Scientists are working to find ways to manage this problem.
  3. While silicon is promising, it's still a new technology and can be expensive. For now, it's often used alongside traditional materials to improve battery performance.

What 25 Years of Investing Taught Me: 12 Mistakes Your Brain Keeps Making

Behavioral Value Investor • 163 implied HN points • 03 Dec 25
💰 Finance Risk management Investing Market Analysis Behavioral Finance Financial Education
  1. Always understand what you're investing in. Don't rush; take time to study the company and its future.
  2. Look beyond just numbers when investing. Pay attention to the company's quality and management to get a fuller picture.
  3. Be cautious with your investments and think long-term. Quick gains are tempting, but they often lead to losses.

Telltale Signs of a Recession

The Informationist • 1356 implied HN points • 09 Apr 23
💰 Finance Corporate Profits
  1. A recession is a period of economic decline lasting at least six months, indicated by decreasing GDP, rising unemployment, and reduced spending.
  2. The inversion of the US Treasury yield curve is a reliable leading indicator of a coming recession, happening 6 to 18 months before the actual onset.
  3. Divergence between GDP and GDI, along with falling corporate profits, can signal economic contraction, with 93% of CEOs preparing for a recession in 2023.

❄️ 🔧 Mes 38 outils préférés pour gérer vos finances personnelles

Snowball • 1356 implied HN points • 17 Mar 23
💰 Finance Market Analysis Budgeting Investing Cryptocurrency Retirement
  1. The post shares 38 favorite tools for managing personal finances including budget tracking, investment research, and ETF investing.
  2. The tools cover various aspects such as budget management, investment strategies, tracking investments, and finding information on companies and markets.
  3. There are tools for managing subscriptions, finding forgotten bank accounts, simulating compound interests, assessing insider trading activities, tracking crypto portfolios, and more.

Forthcoming Book, Latest Interviews, and AI Armageddon

SINGULARITY WEEKLY • 1356 implied HN points • 02 Apr 23
🕹 Technology AI Ethics Book Interviews Digital
  1. There are concerns about the risks and impact of advanced AI technology on society.
  2. Multiple experts are calling for a halt to the development of powerful AI systems due to potential negative consequences.
  3. The rapid advancement of AI technology is causing panic and hysteria as global leaders struggle to address the potential threats posed by AI.

Open Thread 311

Astral Codex Ten • 5574 implied HN points • 15 Jan 24
🕹 Technology Machine Learning AI Alignment AI
  1. Weekly open thread for discussions and questions on various topics.
  2. AI art generators still have room for improvement in handling tough compositionality requests.
  3. Reminder about the PIBBSS Fellowship, a fully-funded program in AI alignment for PhDs and postdocs from diverse fields.

Bazel and action (non-) determinism

Blog System/5 • 661 implied HN points • 21 Jul 25
🕹 Technology Software Programming Build Systems Development Engineering
  1. Bazel builds need to be deterministic to avoid issues. If builds aren't consistent, they can fail unexpectedly, making it hard to trust the system.
  2. Non-determinism in builds can come from various sources like timestamps, random data, or changes in environment. It's important to identify and manage these to ensure reliable builds.
  3. To prevent non-determinism, use controlled environments and keep settings consistent across machines. This includes managing toolchains and avoiding network access that could introduce variability.

You should build your own eval tools, pretty much always

The Hypernatural Blog • 16 HN points • 09 Sep 24
🕹 Technology AI Tools Video Production Model Evaluation Generative models User Experience
  1. Building your own evaluation tools early can greatly improve your product's quality. It's easier than you think and pays off in the long run.
  2. For complex systems, off-the-shelf tools may not fit well. Creating custom tools helps you better understand and improve system performance.
  3. Using real-world examples in your evaluations leads to better outcomes. Make sure to test how changes affect actual user experiences.

AI #98: World Ends With Six Word Story

Don't Worry About the Vase • 1881 implied HN points • 09 Jan 25
🕹 Technology Data science Automation Machine Learning Artificial Intelligence Digital Transformation
  1. AI can offer useful tasks, but many people still don't see its value or know how to use it effectively. It's important to change that mindset.
  2. Companies are realizing that fixed subscription prices for AI services might not be sustainable because usage varies greatly among users.
  3. Many folks are worried about AI despite not fully understanding it. It's crucial to communicate AI's potential benefits and reduce fears around job loss and other concerns.

PMF Score Vs NPS & Sequoia Capital's Runway Reality Check for Founders | VC Jobs

Venture Curator • 259 implied HN points • 17 May 24
💼 Business Venture Capital Job Opportunities Entrepreneurship Startup Advice Financing
  1. PMF score measures how well your product meets users' needs by asking how disappointed users would be without it.
  2. NPS measures customer loyalty by asking how likely they are to recommend the product.
  3. Using clear opinions to make decisions, splitting equity equally among co-founders, and recognizing signs of a 'zombie' startup can lead to success in the VC world.

How to Package Agents

Good Better Best • 2 implied HN points • 06 Mar 26
💼 Business Product SaaS AI Monetization Strategy Pricing
  1. SaaS companies are mainly packaging AI agents two ways: as paid add-ons with clear per-unit (credit) pricing, or bundled into higher-tier plans to drive upgrades.
  2. Credits and usage-based models are becoming the standard metric, often paired with gated business access and generous trial windows to prove value.
  3. The right packaging depends on fit: flexible, multi-agent needs favor add-ons, while purpose-built solutions like support automation are better bundled into core plans, and the market playbook is still forming.

The cocoa question

Asian Century Stocks • 805 implied HN points • 10 Jan 24
💰 Finance Economics Stocks Markets Commodities Supply Chain
  1. Cocoa prices have spiked due to poor crops in West Africa, leading to challenges for chocolate producers.
  2. The tightness in the cocoa market is expected to persist, but historically, markets tend to return to balance within three years.
  3. High cocoa prices impact processors and chocolate manufacturers, who eventually pass on costs to consumers over approximately two years.

27 Unique Dev Challenges: A Recent Study Explored the Top Challenges Faced by LLM Developers

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 20 Aug 24
🕹 Technology Security Issues Data Management API Integration AI Development
  1. Developers face many challenges when working with large language models (LLMs), including issues with API calls and integrating them into existing systems.
  2. Common problems also involve managing large datasets and ensuring data privacy and security while using LLMs for tasks like text generation.
  3. Understanding unpredictable outputs from LLMs is essential, as it affects the reliability and performance of applications built with these models.

After Musk’s Lawsuit, No More Illusions About OpenAI

Big Technology • 4753 implied HN points • 08 Mar 24
🕹 Technology Legal Innovation Companies Business AI
  1. Elon Musk's lawsuit against OpenAI revealed that the company's open promise was more of a ploy for recruitment than a true dedication to open-source.
  2. OpenAI's deal with Microsoft has created a situation where it must balance being close to AGI for profits while keeping its research proprietary, as Musk's lawsuit claims AGI has been reached.
  3. Musk's case against OpenAI showcases his concerns about Google's AI advancements and his efforts to shape the narrative around his relationship with OpenAI.

humans vs machines: who's better at predicting 2026? (spoiler: probably neither, we all missed Venezuela)

Five Links (and three graphs) by Auren Hoffman • 56 implied HN points • 15 Jan 26
🕹 Technology Machine Learning Data science Automation Prediction Markets Forecasting Artificial Intelligence
  1. A public prediction game pitted humans against three AIs and laid out ten bets for 2026 across health, geopolitics, economy, and AI impact.
  2. The AIs showed very different strategies — ChatGPT was strongly contrarian, Claude hedged cautiously, and Gemini bet optimistically — highlighting divergent machine reasoning.
  3. Both humans and AIs missed a major development in Venezuela, reminding us that experts and models alike can have big blind spots even after modest collective gains in prior years.

Social Development > Self-Development

The Novelleist • 1846 implied HN points • 01 Jan 25
📖 Philosophy Self-development Social Responsibility Humanitarianism
  1. Helping others is more important than just focusing on ourselves. When we pay more attention to our communities, we find more happiness and purpose in our lives.
  2. A balance is needed between caring for our loved ones and thinking about the broader world. We should take care of our families, but also show concern for others beyond our immediate circle.
  3. Self-development is good, but too much can lead to selfishness. It's better to use our skills and time to help those around us instead of just working on improving ourselves.

The ads are coming

benn.substack • 920 implied HN points • 23 May 25
🕹 Technology Advertising Computing Software Development AI Data Privacy
  1. Companies are great at tracking what we do online to learn what we like. They use that info to sell us things, often in sneaky ways.
  2. AI is getting better at understanding our conversations and wants. This could lead to new ways for companies to target us with ads while we interact with their services.
  3. As AI improves, we might willingly share more personal data because we value the services we get in return, making it easier for companies to sell us even better-targeted advertisements.

How we could return to the productivity growth of the 1990s

Noahpinion • 4705 implied HN points • 18 Mar 24
💼 Business Investment Productivity Economic Policy Monetary Policy Labor Market
  1. Productivity growth is crucial for controlling inflation, maintaining a stable economy, and improving living standards.
  2. To boost productivity growth, a combination of macroeconomic factors like full employment, investment incentives, and stable supply-side conditions is essential.
  3. Three key factors that fostered productivity growth in the 1990s were full employment, high fixed investment, and stable supply with low inflation; replicating these conditions today would require strategic policy interventions.

February ICE Mortgage Monitor: "Home price growth slowed to its weakest pace in more than a decade"

CalculatedRisk Newsletter • 28 implied HN points • 09 Feb 26
💰 Finance Housing Market Home Prices Inventory Real Estate Regional Trends Mortgages Affordability Delinquencies Refinancing
  1. Early-January rate declines toward 6% opened large refinance opportunities for millions and pushed affordability to a four-year high, but prices remain elevated relative to incomes.
  2. National home price growth slowed to its weakest pace since 2011, with the South and West weakening while the Northeast and Midwest hold firmer, and inventories still lagging pre-pandemic norms in many areas.
  3. Negative equity has risen to the highest level since 2018, concentrated in recent loan vintages and in several Southern markets where over 10% of mortgaged homes are underwater.

IPO: Z.ai intends to raise $560M at a valuation of $6.5 billion.

Alex's Personal Blog • 98 implied HN points • 30 Dec 25
💼 Business AI IPO Finance Startups Enterprise China
  1. Z.ai plans to raise $560 million at about a $6.5 billion valuation while still small and deeply loss-making. Its revenues grew quickly but R&D spending and cash burn are massive, and most IPO proceeds are earmarked for more R&D and expansion.
  2. China’s AI market looks set to be enterprise- and on-premise-led, with vendors selling tailored, locally hosted models to corporations. Regulators are also tightening rules on safety, data consent, and content even as Chinese labs release competitive open models and pursue public listings.
  3. Building cutting-edge AI requires enormous capital and infrastructure, so big investors and tech firms are pouring money in, which reduces funding risk but increases execution pressure to monetize and scale. That dynamic favors well-funded players while smaller labs race to grow.

Drones

Caitlin’s Newsletter • 1988 implied HN points • 22 Dec 24
🕹 Technology AI Military Consumer Tech Drones Surveillance
  1. Drones are increasingly present in our lives, taking over both our skies and our privacy. It's unsettling how they surveil us and even interfere with our daily routines.
  2. Drones are being used in war zones in disturbing ways, like using sound to draw civilians out of hiding. This raises concerns about ethics and humanity in warfare.
  3. The rise of drones signifies a shift from nature to technology in our environment. This change is affecting our connection to the natural world and what it means to be human.

Resilient Cyber Newsletter #10

Resilient Cyber • 39 implied HN points • 20 Aug 24
🕹 Technology AI Vulnerability Management Cloud Computing Cybersecurity Software Development
  1. Security tool sprawl is increasing in organizations, with many now using 70 to 90 different tools, making it harder to manage effectively.
  2. AI can speed up fixing coding vulnerabilities, but many AI-generated codes can be insecure, requiring careful checking by developers.
  3. Understanding systems and processes is key to tackling the complexities of cybersecurity, rather than blaming external forces for challenges in job applications.

Why No Japanese Sequencing Companies?

ASeq Newsletter • 36 implied HN points • 03 Feb 26
🕹 Technology Semiconductors Manufacturing Startups Diagnostics Proteomics Genomics Biotech
  1. Japan has deep expertise and built many key components for sequencing — from contributions to the Human Genome Project to ISFET sensing and imaging sensors — yet it has produced almost no homegrown DNA or protein sequencing companies.
  2. Possible reasons include a lack of strong domestic genome centers and expert customers, structural problems with the startup ecosystem, and past institutional missteps that discouraged local product development.
  3. The shift toward clinical, sample-to-answer sequencing and the still-open field of protein sequencing are clear opportunities Japan could exploit with its research and manufacturing strengths, and funding startups would build domestic talent and capability even if many ventures fail.

DeepSeek R1's recipe to replicate o1 and the future of reasoning LMs

Democratizing Automation • 1717 implied HN points • 21 Jan 25
🕹 Technology Data science Artificial Intelligence Machine Learning Open Source Reinforcement Learning
  1. DeepSeek R1 is a new reasoning language model that can be used openly by researchers and companies. This opens up opportunities for faster improvements in AI reasoning.
  2. The training process for DeepSeek R1 included four main stages, emphasizing reinforcement learning to enhance reasoning skills. This approach could lead to better performance in solving complex problems.
  3. Price competition in reasoning models is heating up, with DeepSeek R1 offering lower rates compared to existing options like OpenAI's model. This could make advanced AI more accessible and encourage further innovations.