The hottest Tech industry Substack posts right now

And their main takeaways
Category
Top Technology Topics

The case against living in the Bay Area, for ambitious tech people

Cloud Irregular • 3548 implied HN points • 22 Nov 24
💼 Business Tech industry
  1. Living in the Bay Area might not be necessary for tech success. There are many ways to build a successful career outside of that bubble.
  2. The traditional SaaS business model may not be as effective anymore. Companies should focus on creating value in other ways beyond just software.
  3. A balanced team is better than one dominated by technical skills. Recognizing the importance of marketing, sales, and other roles can lead to better business outcomes.

3 Products That Influenced Me

Tech Ramblings • 19 implied HN points • 14 Sep 24
🕹 Technology Tech industry
  1. The iPhone changed how we think about technology. It shows that controlling both hardware and software can lead to incredible innovation.
  2. Tesla focuses on making things simple and helps users learn through experiences. This approach makes the product easier to use and reduces complexity.
  3. Amazon Web Services made it quick and easy to start an online business. It built a strong foundation by allowing teams to create interconnected services, speeding up product development.

Top Highlights of CES 2024

AI Supremacy • 1198 implied HN points • 21 Jan 24
🕹 Technology Tech industry
  1. CES 2024 showcased innovative AI technology like Rabbit R1 and enhanced robots.
  2. LG and Samsung introduced transparent TVs with unique features at CES 2024.
  3. Tech advancements at CES included dual-screen laptops, AI-enhanced PCs, and unique gadgets like GyroGlove.

ChatGPT’s Growth Is Flatlining

Big Technology • 7380 implied HN points • 16 Feb 24
🕹 Technology Tech industry
  1. ChatGPT's growth is flatlining, with declining web traffic and stagnant mobile app usage.
  2. OpenAI is transitioning into a post-ChatGPT era sooner than expected, prompting a shift in company focus.
  3. Despite initial excitement, ChatGPT has not reached mainstream success according to a senior insights manager at SimilarWeb.
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DeepSeek v3: The Six Million Dollar Model

Don't Worry About the Vase • 2777 implied HN points • 31 Dec 24
🕹 Technology Tech industry
  1. DeepSeek v3 is a powerful and cost-effective AI model with a good balance between performance and price. It can compete with top models but might not always outperform them.
  2. The model has a unique structure that allows it to run efficiently with fewer active parameters. However, this optimization can lead to challenges in performance across various tasks.
  3. Reports suggest that while DeepSeek v3 is impressive in some areas, it still falls short in aspects like instruction following and output diversity compared to competitors.

CROSSPOST: NOAH SMITH: The AI Bust Scenario That No One Is Talking About

Brad DeLong's Grasping Reality • 169 implied HN points • 09 Dec 25
💼 Business Tech industry
  1. AI could be widely useful but still be a low-profit industry, with most of the value flowing to downstream complementors and users rather than to model makers or operators.
  2. Huge, debt-fueled data-center buildouts risk a finance-driven bust if the economic returns take many years to materialize, even if the technology itself keeps improving.
  3. A total technological flop like VR is unlikely given rapid adoption, but big incumbent platforms can block rivals by giving good-enough AI features away for free, preventing startups from capturing big rents.

I Badly Want a Map to the Likely Consequences of the AI-Infrastructure Construction Boom

Brad DeLong's Grasping Reality • 645 implied HN points • 19 Aug 25
💼 Business Tech industry
  1. The AI infrastructure construction boom is huge, with companies investing billions into data centers, but it’s unclear if these investments will pay off. Tech giants fear being outpaced by newcomers and are building defenses.
  2. While this spending is keeping parts of the economy afloat, there are doubts about whether the AI tools being developed now will actually be useful in the long run. We’re waiting to see if these investments lead to real profit or just losses.
  3. Most gains might not go to the big tech companies themselves, but instead to smaller firms that create new and useful AI applications, a bit like how those who sold shovels made money during the Gold Rush.

AI #91: Deep Thinking

Don't Worry About the Vase • 2732 implied HN points • 21 Nov 24
🕹 Technology Tech industry
  1. DeepSeek has released a new AI model similar to OpenAI's o1, which has shown potential in math and reasoning, but we need more user feedback to confirm its effectiveness.
  2. AI models are continuing to improve incrementally, but people seem less interested in evaluating new models than they used to be, leading to less excitement about upcoming technologies.
  3. There are ongoing debates about AI's impact on jobs and the future, with some believing that the rise of AI will lead to a shift in how we find meaning and purpose in life, especially if many jobs are replaced.

Maybe AI is a regular platform shift

Generating Conversation • 163 implied HN points • 11 Dec 25
🕹 Technology Tech industry
  1. AI is settling into a regular generational platform shift like cloud or mobile, so expect lots of change but not a sudden collapse of society. This means the broad fabric of daily life and institutions will largely persist even as AI reshapes industries.
  2. This is not a bear case—AI will create massive value and spawn new dominant companies, but it’s unlikely to be orders of magnitude bigger than past platform shifts. We already have plenty of capability today to build important, valuable products.
  3. Models will specialize to different human and enterprise preferences, so we’ll see many tailored models and apps rather than one universal breakthrough. That points to steady, incremental improvements and lots of product-level innovation over the next decade.

Wait, is cloud bad?

Cloud Irregular • 7244 implied HN points • 24 Oct 23
🕹 Technology Tech industry
  1. DHH believes established companies that can amortize capital investments should reconsider the cloud
  2. Different types of companies require different approaches to cloud vs. data center
  3. Switching back from the cloud to data center may bring back old problems that cloud solutions had addressed

469: The Market's Goal, Synopsys + Ansys, Nvidia, Spyderco, Intel AI Spin, Nuclear Arsenal Forgotten Secrets, Recessions Since 1860, and Searching for Bobby Fischer

Liberty’s Highlights • 884 implied HN points • 10 Jan 24
💰 Finance Tech industry
  1. The market often surprises people and goes through cycles of confusion and growth.
  2. US recessions have been less frequent, signifying stability, but opportunities for growth still exist.
  3. Merger talks and developments in companies like Synopsys, Ansys, Nvidia, and Intel show shifts in technology landscapes.

Big Boy Mark Zuckerberg Needs His Beef

Discourse Blog • 746 implied HN points • 10 Jan 24
🎭️ Culture Tech industry
  1. Mark Zuckerberg has unusual interests like raising cattle and producing high-quality beef.
  2. Despite his significant wealth and power, Zuckerberg's lifestyle seems surprisingly simple and basic.
  3. Critics highlight the contradiction between Zuckerberg's public image and the controversies associated with Facebook.

There's no such thing as f– you money

The Rubesletter by Matt Ruby (of Vooza) | Sent every Tuesday • 1639 implied HN points • 16 Jan 25
💼 Business Tech industry
  1. Wealth doesn't guarantee freedom. Even billionaires serve someone and often compromise their principles.
  2. Charisma and social influence can be more powerful than money. Being likable and persuasive can get people further in many situations.
  3. Cultural power matters more than financial power. Those with money often want to control how they're perceived and fear being ridiculed.

What about founder mental health?

Alex's Personal Blog • 131 implied HN points • 02 Dec 25
💼 Business Tech industry
  1. Most founders struggle with mental health issues, and it's important to talk about it. Taking care of mental health is vital in the stressful world of startups.
  2. OpenAI is feeling pressure from competitors like Google and Anthropic, and it's crucial for them to improve their products. If they don't innovate, they risk losing their market position.
  3. Apple is standing firm against a demand from India to preload a government app on their devices, which could harm user privacy. It's a bold move that highlights the importance of protecting democratic values.

hypercapitalism and the AI talent wars

luttig's learnings • 499 implied HN points • 13 Jul 25
💼 Business Tech industry
  1. The competition for AI talent is intense, leading to huge salary offers, which can really shake up the trust between companies and their employees. It makes people wonder if mission or money matters more now.
  2. Big companies have an advantage in attracting top talent, which makes it hard for smaller startups to compete. They need strong missions and enough resources to stand a chance in this new market.
  3. Investors must adapt to this changing landscape, as the old rules of fundraising don’t apply anymore. They need to rethink how they evaluate companies, especially those focused on AI.

The Big Short dude is worried about Big Tech earnings

Alex's Personal Blog • 164 implied HN points • 12 Nov 25
💼 Business Tech industry
  1. Investors are concerned that big tech might be misleading about their earnings due to how they report the costs of their data center investments. If companies extend the lifespan of their equipment, it can make their profits look better in the short term.
  2. A lot of private companies are hitting the $100 million annual recurring revenue mark, which is becoming a common milestone for startups aiming to grow. This level of revenue is a big deal because it's seen as a stepping stone toward going public.
  3. Despite worries about an AI bubble, many companies are growing quickly and generating significant revenue. This rapid growth could help stabilize their market positions, even if some projects fail.

"Here's the sad state of the cloud"

Cloud Irregular • 3696 implied HN points • 22 Jan 24
🕹 Technology Tech industry
  1. The cloud landscape is shifting from big hyperscalers to more specialized services like standalone databases and DIY cloud-in-a-box.
  2. Using tools like Nightshade to protect art from being exploited by AI may not be the best strategy, focusing on creating original, high-quality art is key.
  3. Google, despite criticism, remains a significant player in the tech industry, seen as a symbol of intellectual prowess and innovation.

The Software Slog

Buck on Software • 884 implied HN points • 20 Mar 23
🕹 Technology Tech industry
  1. The software industry may be facing a period of slow growth and low returns, akin to a tiring and boring slog.
  2. Consensus estimates predict a rebound in SaaS growth, resembling past historical market cycles.
  3. Zombie SaaS companies, sustained by oversized funding, create challenges for non-zombie competitors in terms of price competition and talent acquisition.

Is Anyone Worth a Billion Dollars?

Common Sense with Bari Weiss • 352 implied HN points • 03 Aug 25
💼 Business Tech industry
  1. Top AI researchers are being offered huge salaries, sometimes more than $1 billion, to join tech companies like Meta. This shows how valuable these skills are in the tech world.
  2. Some companies are intensely competing to hire the best minds in AI, similar to how sports teams look for star players. There are not many people with the right talent and skills.
  3. One researcher accepted a crazy $250 million contract over four years, highlighting how tech companies value individual talent highly, even more than famous athletes.

Tech Layoffs Hit Linux: Red Hat Laying Off 760 Employees

The Lunduke Journal of Technology • 5170 implied HN points • 26 Apr 23
🕹 Technology Tech industry
  1. Red Hat, the largest Linux company, is laying off 760 employees to focus on doing fewer things better
  2. Q1 of 2023 had a record number of tech layoffs, over three times more than during the Dot Com Bubble Burst in 1999
  3. There are concerns about how these layoffs will affect Red Hat's success, potential future layoffs, and impact on smaller Linux firms

Debunking 10 Popular Myths About DeepSeek

The Algorithmic Bridge • 976 implied HN points • 28 Jan 25
🕹 Technology Tech industry
  1. DeepSeek models can be customized and fine-tuned, even if they're designed to follow certain narratives. This flexibility can make them potentially less restricted than some other AI models.
  2. Despite claims that DeepSeek can compete with major players like OpenAI for a fraction of the cost, the actual financial and operational needs to reach that level are much more substantial.
  3. DeepSeek has made significant progress in AI, but it hasn't completely overturned established ideas like scaling laws. It still requires considerable resources to develop and deploy effective models.

How did Nvidia find itself in a lose/lose game?

Alex's Personal Blog • 98 implied HN points • 25 Nov 25
💼 Business Tech industry
  1. Nvidia is facing a dilemma with its GPUs: if they wear out quickly from heavy use, companies might falsely report profits, but if they last longer, companies might look better financially overall.
  2. Investor concerns about GPU durability and accounting practices are causing tension in the market, leading Nvidia to defend its position with a memo.
  3. The ongoing debate around hardware depreciation could significantly impact Nvidia's profitability and the financial health of major tech companies.

Understanding the Tech Right

Richard Hanania's Newsletter • 4023 implied HN points • 05 Jun 23
🕹 Technology Tech industry
  1. Tech industry is becoming more involved in politics, particularly shaping right-wing movements
  2. Tech Right combines acceptance of inequality with openness to change, influencing views on capitalism, biology, and progress
  3. Tech Right's influence on American politics might be seen through funding politicians, exerting intellectual leadership, and pushing conservative ideals

Google’s Woke AI Wasn’t a Mistake. We Know. We Were There.

Common Sense with Bari Weiss • 2040 implied HN points • 19 Mar 24
💼 Business Tech industry
  1. Google's new AI tool, Gemini, produced biased results in image searches, reflecting the larger issue of the company's culture prioritizing ideologies over excellence.
  2. Former Google employees, including high-profile individuals like Shaun Maguire, expressed concerns over Google's push for diversity, equity, and inclusion leading to compromises in quality and standards.
  3. The fallout from the Gemini AI debacle at Google highlighted the importance of balancing inclusivity with maintaining product quality and unbiased information for users.

The Sequence Radar #763: Last Week AI Trifecta: Opus 4.5, DeepSeek Math, and FLUX.2

TheSequence • 70 implied HN points • 30 Nov 25
🕹 Technology Tech industry
  1. Claude Opus 4.5 is impressively smart and can handle complex coding tasks, making it feel like a senior engineer rather than just a chatbot.
  2. DeepSeek Math V2 shows how AI can self-correct and improve its mathematical reasoning, hitting new highs in performance and reliability.
  3. FLUX.2 brings amazing visual quality and features for generative media, proving that open models can achieve top-notch results without being locked down.

The plane crashed because of…DEI!

The Rubesletter by Matt Ruby (of Vooza) | Sent every Tuesday • 641 implied HN points • 02 Feb 25
🇺🇸 U.S. Politics Tech industry
  1. Some people blame their problems on DEI (Diversity, Equity, and Inclusion) instead of taking responsibility. It's become a catch-all excuse for various issues, making it a controversial topic.
  2. Many tech leaders seem silent or unwilling to comment on political issues, raising questions about their priorities. They might be more focused on their profits rather than ethical or social concerns.
  3. Wealth does not always equal intelligence. Just because someone is rich doesn't mean they are smart or deserving of their success, as shown by failures in both tech and sports leadership.

449: Amazon + Anthropic, TSMC AZ, Costco, Xero Shoes, Microsoft + Activision, Bloomberg for Sale, AI Copyright, and The Bear

Liberty’s Highlights • 491 implied HN points • 25 Sep 23
🕹 Technology Tech industry
  1. The author is incorporating strength training into their routine by researching equipment like dumbbells and a bench for a home gym setup.
  2. Obsessing over equipment can distract from the main goal of strength training, but having a convenient home setup may lead to more consistent workouts.
  3. Soap is a relatively recent invention in human history, dating back around five thousand years, significantly changing personal hygiene practices.

Claude 4 and Anthropic's bet on code

Democratizing Automation • 332 implied HN points • 27 May 25
🕹 Technology Tech industry
  1. Claude 4 is a strong AI model from Anthropic, focused on coding and software tasks. It has a unique personality and improved performance over its predecessors.
  2. The benchmarks for Claude 4 might not look impressive compared to others like ChatGPT and Gemini, which could affect its market position. It's crucial for Anthropic to show real-world utility beyond just numbers.
  3. Anthropic aims to lead in software development, but they fall behind in general benchmarks. This may limit their ability to compete with bigger players like OpenAI and Google in the race for advanced AI.

Understanding Goodhart's Law [Math Mondays]

Technology Made Simple • 179 implied HN points • 11 Mar 24
🕹 Technology Tech industry
  1. Goodhart's Law warns that when a measure becomes a target, it can lose its effectiveness as a measure.
  2. The law often unfolds due to complications in real-world systems, human adaptability, and evolutionary pressures.
  3. To address Goodhart's Law, consider using multiple metrics, tying metrics to ultimate goals, and being prepared to adapt metrics as needed.

📰 Techcrunch

First 1000 • 452 implied HN points • 19 Oct 23
💼 Business Tech industry
  1. TechCrunch's journey started with a personal blog and grew into a media giant through credibility and breaking big tech news stories.
  2. TechCrunch rode the wave of the Web 2.0 era, evolving from a research tool into a significant news outlet.
  3. The pivotal moment for TechCrunch was breaking the accurate story of Google acquiring YouTube, leading to a surge in subscribers and solidifying its position in the tech media industry.

“Overachievement”: Xiaomi's Decade-Long Chip Development Journey

Interconnected • 323 implied HN points • 25 May 25
🕹 Technology Tech industry
  1. Xiaomi has been working for over a decade to develop its own chips, overcoming past failures to launch their new Xring O1 chip. This shows their commitment to compete in the high-end smartphone market.
  2. The company learned from its earlier struggles and made smart changes, like bringing chip development in-house to improve teamwork and communication. This helped them build a stronger, more focused chip-making team.
  3. Despite their successes, Xiaomi faces significant challenges ahead, notably the need to sell enough phones equipped with their new chip to make the investment worthwhile. They are determined to continue improving and innovating in this area.

Checking in on Twitter

Read Max • 2186 implied HN points • 18 Aug 23
🕹 Technology Tech industry
  1. The state of Twitter following Elon Musk's acquisition is still uncertain, with questions about website functionality, business sustainability, and user engagement remaining unanswered.
  2. Although Musk announced plans to eliminate the block function on Twitter, it seems like a questionable idea that may not actually materialize.
  3. Changes in Twitter's culture have been observed, with a shift towards tech industry influencers, impacting the dynamics of stories and discussions on the platform.

TAM - that's Totally A Made Up Number. | Needs More Scientists In VC | VC Remote Jobs

Venture Curator • 179 implied HN points • 15 Feb 24
💼 Business Tech industry
  1. Focusing on capturing a small share of a well-defined market is more strategic than aiming for a tiny portion of a giant market.
  2. Encouraging scientists to enter venture capital can drive innovation and align with objective data over marketing dominance.
  3. The shift to using SAFE valuation caps in fundraising reflects a dominant trend, especially in specific sectors like SaaS, Fintech, Gaming, and Edtech.

Regulate Tech — Big Time

OLD GOATS with Jonathan Alter • 373 implied HN points • 17 May 23
🕹 Technology Tech industry
  1. Regulating the tech industry is crucial to protect safety, privacy, and competition.
  2. Tech companies like Facebook and Google have shifted from empowering people to exploiting human weaknesses.
  3. Strong bipartisan support is needed to address the harmful impacts of technology on democracy and public health.