The hottest Tech industry Substack posts right now

And their main takeaways
Category
Top Technology Topics
The Hard Fork by Marvin Liao 216 implied HN points 13 Jan 24
  1. Silicon Valley is seeing a shift towards a more masculine, ruthless culture led by powerful men in tech.
  2. Tech companies are moving towards a leaner, more focused approach after facing financial challenges.
  3. Surviving in the current Silicon Valley landscape requires a severe mindset change, frugality, and hard work.
Kristina God's Online Writing Club 539 implied HN points 08 Apr 23
  1. Elon Musk has blocked Substack links on Twitter, making it hard for creators to share their work. This is a big deal because many writers rely on Twitter to grow their audience.
  2. Substack is seen as a competitor to Twitter, so Musk's decision seems to be aimed at limiting its influence. He has done similar things before with other platforms like Mastodon and Instagram.
  3. Creators express disappointment over the block, arguing it restricts free sharing of their work. Many believe that writers deserve to share links freely without being censored.
More Than Moore 373 implied HN points 05 Feb 25
  1. AMD's revenue has seen a big boost, with a 24% increase in Q4 2024 compared to the previous year. This growth is driven by strong sales in their data center and client segments.
  2. The company has shifted its focus towards high-margin products, which has significantly improved profitability. Their data center revenue is now a major part of their earnings.
  3. While AMD's gaming sector faced challenges with declining sales, they expect a recovery in 2025 as console orders normalize and new products are launched.
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Mule’s Musings 366 implied HN points 03 Feb 25
  1. Microsoft is seeing strong growth in its AI revenue, but its overall business is growing slowly. They have invested heavily in AI and plan to keep expanding their data center capacities.
  2. Meta is optimistic about the future of AI and has extended the lifespan of its servers. They expect to make significant advancements in AI coding and problem-solving capabilities in 2025.
  3. Both companies are focusing their spending on infrastructure, with Meta doubling down on AI and core business needs. They believe that investing in this area will give them a competitive edge.
Tech Ramblings 19 implied HN points 21 Jul 24
  1. Many young software engineers make common mistakes that can hold back their careers. It’s important to recognize these traps early on.
  2. Good communication skills are essential for solving problems and sharing ideas effectively. Learning to articulate your thoughts can make a big difference.
  3. Experience in different domains, like academia and tech companies, can provide valuable insights. Be open to learning from various industries to grow your career.
Read Max 1317 implied HN points 17 Nov 23
  1. Elon Musk has made significant changes to Twitter since taking over, surprising many
  2. The disappearance of Twitter as a single context is impacting the internet's shared understanding
  3. Social media platforms are evolving, causing confusion and a shift in online culture
Updater, Shannon Liao's gaming newsletter 137 implied HN points 09 Feb 24
  1. IGN employees are forming a union with the majority of them signing union authorization cards due to current industry instability and a desire for protection.
  2. Xbox reassured employees in a town hall that they have no plans to stop making consoles amidst rumors of Xbox exclusives moving to the PS5.
  3. Disney is investing in Epic Games, hinting at a possible metaverse collaboration without using the term explicitly. The potential partnership is seen as a strategic move by Disney after past gaming industry setbacks.
SuperJoost Playlist 218 implied HN points 21 Dec 23
  1. The business of hacking video game publishers is growing, with recent incidents showing flaws in hackers' business fundamentals.
  2. Hacking video game companies does not always result in financial gain for the hackers, as evidenced by unsuccessful attempts to sell stolen data.
  3. Leaking information about upcoming video games may actually generate more excitement and interest in the games rather than spoil the experience for players.
Musings on Markets 779 implied HN points 07 Nov 22
  1. Corporate governance focuses on how companies are run and who gets to make decisions. It's important because when management and shareholder interests do not align, it can result in poor decisions that harm the company.
  2. Facebook's stock has dropped significantly because of issues like the slowdown in online advertising and reputational damage. These challenges highlight the need for better governance to adapt to changing market conditions.
  3. Investors often give up their voting power when companies use dual-class shares, which can limit their ability to influence management. This trend can make it harder to make necessary changes when a company's leadership is not effective.
Notes in the Margins 39 implied HN points 03 Jun 24
  1. The tech industry faces challenges like layoffs, declining funding, and AI impact, influencing mental health of professionals
  2. Tech workers experiencing burnout exhibit symptoms like questioning work value, detachment, and physical health issues
  3. Coaching provides personalized support, career clarity, and skill development to help tech professionals navigate challenges and make informed decisions
Wisdom over Waves 219 implied HN points 31 Oct 23
  1. Companies can get stuck in bad coding loops due to shortcuts taken to meet deadlines and lack of focus on code fitness, leading to slow progress and accumulation of bad-quality code
  2. Two loops of bad coding involve creating technical debt with more code and lowering hiring bar due to pressure, resulting in slower progress and accumulation of bad code practices
  3. To break out of these loops, companies can freeze code hotspots, raise hiring bar, upskill developers, and reduce technical debt through mission-critical task forces
Technology Made Simple 119 implied HN points 03 Feb 24
  1. The liquidation of Evergrande is not expected to be as severe as the Lehman Brothers moment in 2008.
  2. Evergrande's debt crisis was fueled by borrowing to expand quickly, raising concerns about the risks of high leverage in business growth.
  3. The collapse of Evergrande could have significant impacts on China's economy, real estate sector, financial system, and global commodity prices.
Technology Made Simple 219 implied HN points 12 Aug 23
  1. Data laundering involves converting stolen data to be used illegally or sold as legitimate data.
  2. Tech companies, like Stability AI, can get around artist copyright by using creative methods with AI art.
  3. It's essential to ensure fair compensation for artists and creators whose work is used, and to establish better regulations for copyright protection in data usage.
kalanis 216 implied HN points 05 Apr 23
  1. Don't get trapped in chasing productivity without focusing on the right problems.
  2. Vietnam's coffee culture has survived despite a low number of Starbucks locations.
  3. China's aging population may lead to economic challenges similar to Japan's lost decade.
Faster, Please! 822 implied HN points 03 Feb 24
  1. Critics think AI consumes a significant amount of energy, comparable to whole countries.
  2. There's a risk of AI's energy consumption becoming a political issue, akin to past debates around cryptocurrency.
  3. Leading tech companies are working to use renewable energy sources to power AI, reducing potential worries about its energy usage.
More Than Moore 93 implied HN points 30 Jul 25
  1. Arm's Q1 2026 revenue reached $1.05 billion, up 12% from last year, marking another record for the company. This growth mainly came from increased royalty revenue.
  2. The company's licensing revenue decreased slightly, but Arm showed strong growth in royalty revenue, especially from its new Compute Subsystems and AI-related chips.
  3. Despite a slight decline in net income, Arm is investing heavily in research and development, indicating a focus on future growth and innovation.
Venture Curator 179 implied HN points 20 Oct 23
  1. Building a successful MVP involves focusing on the 'viable' aspect, listening to customer feedback, and iterating for improvement.
  2. 90% of startup founders fail at building successful MVPs due to not grasping the true essence of MVP and focusing solely on building a product.
  3. Successful startups like Airbnb, Twitch, and Stripe started with basic MVPs, appealing to early adopters and iterating based on user feedback.
Alex's Personal Blog 98 implied HN points 08 Jul 25
  1. Ambiq is going public earlier than usual, which is exciting. They make chips for AI devices, and by leaving China, they are boosting their profits.
  2. Core Scientific's shareholders are unhappy about a deal with CoreWeave because the deal is risky. If CoreWeave's stock drops before the deal closes, it could be worth less than expected.
  3. In Q2 2025, US startups saw a lot of investment, especially in AI. Early-stage startup valuations are at record highs, showing a strong interest in new ventures.
The AI Report 137 implied HN points 02 May 25
  1. Meta's recent Llamacon event didn't meet expectations because there were no new reasoning models announced. Other companies like OpenAI and Google have already released theirs, leaving Meta behind.
  2. There's confusion about Meta's new Llama API, as it seems to compete with their partners instead of supporting them. This could hurt relationships with companies that rely on Meta's technology.
  3. The launch of the Llama 4 models wasn't well executed. They are more complicated to customize and may not appeal to developers, which is a big issue for Meta right now.
SeattleDataGuy’s Newsletter 930 implied HN points 12 Aug 23
  1. Focusing on impact in your work can accelerate your career growth and lead to more satisfying outcomes.
  2. To have more impact in tech, run towards unsolved problems, be scrappy in finding solutions, and prioritize ruthlessly.
  3. Impact can be achieved by reducing costs or increasing revenue, and understanding how your work contributes to these areas is essential for career advancement in engineering.
The Algorithmic Bridge 254 implied HN points 10 Dec 24
  1. Sora Turbo is a new AI video model from OpenAI that is faster than the original version but may not be better. Some early users are unhappy with the rushed release.
  2. This model has trouble with physical consistency, which means the videos often don't look realistic. Critics argue it still has a long way to go in recreating reality.
  3. Sora Turbo is just the beginning of video AI technology. Early versions may seem lacking, but improvements will come with future updates, so it's important to stay curious.
Technology Made Simple 159 implied HN points 14 Oct 23
  1. Data-driven decisions and AI can be valuable, but they must serve a larger purpose to avoid financial ruin.
  2. Investing heavily in technologies like Big Data without a clear strategy can lead to disaster, as seen with Under Armor's failed Big Data push.
  3. Leaders should carefully consider the cost and benefits of implementing AI into their processes, ensuring it aligns with their overall goals and strategy.
Make Work Better 212 implied HN points 12 Jan 25
  1. Zuckerberg's decision to end DEI programs may reduce workplace diversity and understanding, which can negatively affect decision-making and empathy towards customers.
  2. Critics argue that recent attacks on diversity initiatives are misguided and ignore the historical disadvantages some groups face in society.
  3. There is a growing concern that the economic landscape will change, with a shift towards taxing corporations more than individuals due to the rise of AI technology.
Technology Made Simple 159 implied HN points 22 Jul 23
  1. Platform economics often prioritize scale over short-term profitability, relying on network effects to eventually generate revenue.
  2. Successful platforms like Facebook and YouTube maintained a competitive edge through extensive user profiles and built-in loyalty, unlike Uber.
  3. Uber's failure was attributed to factors like the ease of replicating its service, lack of customer loyalty, and the unrealistic expectations for profitability in the on-demand service industry.
Technology Made Simple 159 implied HN points 08 Jul 23
  1. Understanding the difference between Vertical and Horizontal Integration is crucial in business. Horizontal Integration can offer leverage and streamline processes within an organization.
  2. Threads, Meta's new app, has the potential to tap into academic circles on Twitter by addressing its mobile-only flaw. This could change user engagement dynamics and impact monetization.
  3. Social media platforms like Threads can be powerful tools for controlling public discourse and information flow. Meta's investment in the Metaverse is seen as a strategic move for the future.
Nathan’s Substack 79 implied HN points 26 Jan 24
  1. A common mistake is mistaking a feature for a product, leading to incomplete solutions in the market.
  2. Customers care more about how a product solves their problem, rather than the specific technology used.
  3. Start with the customer experience and work back to the technology when designing products, a lesson exemplified by Steve Jobs.
Venture Curator 139 implied HN points 13 Oct 23
  1. Founders are hesitant to discuss their startup's competitive advantages, known as MOATs, due to lack of understanding and fear that their startup may not have a strong enough MOAT.
  2. A startup's MOAT includes characteristics like community, trust, network effects, and users that make it hard for competitors to replicate.
  3. Successful companies like Spotify built their MOAT on a bold vision and a statement that revolutionized the user experience, rather than just technology or features.
imperfect offerings 139 implied HN points 20 Jul 23
  1. Human work plays a crucial role in maintaining the illusion of intelligence in AI models by performing tasks like reviewing outputs and assigning ratings.
  2. The human labor in the middle layer of AI development is extensive, complex, and ongoing, despite being often overlooked by the industry.
  3. Students and graduates are increasingly becoming involved in platform data work, which can impact their job satisfaction and well-being, raising questions about the future of labor in the AI industry.
Top of the Lyne 137 implied HN points 18 Feb 23
  1. Generative Artificial Intelligence models must understand data in order to create
  2. Emerging companies in the Generative AI space should focus on data network effects, differentiation, embedding in existing workflows, hyperpersonalized go-to-market strategies, and scaling for enterprise
  3. Success in the Generative AI application layer market will be driven by companies that build unique models, drive strong differentiation, integrate with existing workflows, personalize their strategies, and cater to enterprise needs
Erik Torenberg's Thoughts 208 implied HN points 11 Dec 24
  1. Silicon Valley used to support free speech, but now many companies limit it to control political views. This shift is concerning as it can stifle people's voices and even their ability to earn a living.
  2. There’s a big divide in how educated professionals and working-class people think and vote. This divide shapes our institutions and can create conflict because the elite often push ideas that don’t reflect the majority's beliefs.
  3. Accountability is essential for those in power. If leaders make mistakes without facing consequences, it undermines trust. There's a call for more populist leadership that listens to the people's needs and holds elites accountable.
God's Spies by Thomas Neuburger 196 implied HN points 31 Dec 24
  1. H-1B visas are often seen as a way for companies to pay lower wages and keep salaries down for American workers. This creates a situation where employers have more power over employees who depend on these visas.
  2. Many tech companies use H-1B workers to fill jobs, especially during layoffs of American workers, which leads to a feeling of competition and insecurity among those workers.
  3. The system appears to benefit companies financially while putting pressure on both H-1B workers and American employees, leading to questions about fairness and ethics in the job market.