The hottest Software Substack posts right now

And their main takeaways
Top Technology Topics
Big Technology • 7505 implied HN points • 23 Feb 24
  1. NVIDIA's software edge is a significant factor in its success, making it hard for competitors to match.
  2. Customers buy and reorder NVIDIA's products due to the difficulty of switching off its proprietary software.
  3. NVIDIA's dominance in the AI industry is sustained through its software advantage, influencing customer decisions and orders.
lcamtuf’s thing • 2332 implied HN points • 13 Mar 24
  1. The focus on product security often overshadows the more critical aspect of enterprise security.
  2. Enterprise security faces challenges like employee actions that can bypass security measures, demonstrating the need for a paradigm shift.
  3. Successful security programs accept the inevitability of compromise and prioritize detection, response, and containment over aiming for perfect defenses.
thezvi • 1963 implied HN points • 18 Mar 24
  1. Devin, an AI software engineer, is showcasing impressive abilities such as debugging and building websites autonomously.
  2. The introduction of AI agents like Devin raises concerns about potential risks, such as improper long-term coding considerations and job disruptions.
  3. Using an AI like Devin introduces significant challenges related to safety, reliability, and trust, prompting the need for careful isolation and security measures.
CodeYam’s Substack • 39 implied HN points • 04 Jun 24
  1. Simulators are valuable tools leveraged by inventors and engineers throughout history to test ideas quickly and gain insights into complex problems.
  2. A robust software simulator has qualities like a simulated environment, scenarios, isolation, and automation, which can significantly speed up the software development process.
  3. Software simulators allow testing how software performs in various scenarios, enabling faster delivery of high-quality products without the need for extensive manual testing.
SemiAnalysis • 8586 implied HN points • 10 Oct 23
  1. Google, AMD, Intel, Meta, Amazon, and Microsoft are all gearing up to challenge Nvidia's AI dominance.
  2. Nvidia is maintaining its hardware lead but facing increasing competition.
  3. Nvidia's supply chain mastery and potentially anti-competitive business tactics are key factors in their strategy.
Get a weekly roundup of the best Substack posts, by hacker news affinity:
Cloud Irregular • 2069 implied HN points • 19 Feb 24
  1. Explaining complex tech products in simple language is important for understanding and adoption.
  2. Developers may value different aspects of a tech product compared to business decision-makers, causing a mismatch in communication.
  3. CloudTruth focuses on managing crucial configuration data, highlighting the importance of precision in language and clear communication.
The Lunduke Journal of Technology • 10330 implied HN points • 05 May 23
  1. When we talk about 'The Cloud', we're really just talking about internet-connected computers.
  2. Artificial Intelligence, like ChatGPT and GitHub Copilot, is essentially copying and repackaging data created by humans.
  3. As AI systems evolve, there's a risk that original human work will be devalued and intelligence may decrease.
SemiAnalysis • 4141 implied HN points • 01 Nov 23
  1. AMD's MI300 is positioned as a strong competitor in LLM inference against Nvidia and Google hardware.
  2. Major companies like Microsoft, Meta, Oracle, Google, and Amazon have already placed orders for AMD MI300.
  3. AMD's Datacenter GPU revenue is expected to reach over $2 billion in 2024 with strong demand from customers and supply constraints.
Why is this interesting? • 1085 implied HN points • 27 Feb 24
  1. A new recommendations site, Why is this interesting? Recommends, has been launched after almost five years of planning, bringing together over 1,000 product, book, and software recommendations from their past newsletters.
  2. The use of AI has played a crucial role in extracting and categorizing product recommendations from a vast amount of text, making the process more efficient and manageable.
  3. The team behind the site is open to feedback and suggestions, emphasizing user engagement by encouraging exploration, purchases, and sharing ideas for further improvements.
SemiAnalysis • 4849 implied HN points • 30 Aug 23
  1. Broadcom is the second largest AI chip company in the world behind NVIDIA, driven by Google's TPU ramp.
  2. Broadcom's strategy involves acquiring companies with strong products, cutting costs, and focusing on core products.
  3. Broadcom has diversified segments including wireless, networking, and custom silicon, with a focus on efficiency and stable growth.
benn.substack • 1271 implied HN points • 19 Jan 24
  1. The modern data stack ecosystem is shifting as interest in generative AI takes over.
  2. The hype surrounding data tools can lead to rapid product development but also instability and distraction.
  3. Startups can find success by focusing on rebuilding existing ideas in a more deliberate and stable manner.
Department of Product • 1238 implied HN points • 18 Jan 24
  1. Notion integrates Indie calendar Cron into a new standalone Calendar app for sharing with stakeholders.
  2. Numerous plugin enhances Google Sheets with generative AI for tasks like creating formulas and translating text.
  3. Netflix's decision not to build a dedicated app for visionOS is a setback for Apple, while Nimo gains popularity as a lighter AR alternative.
AI Supremacy • 825 implied HN points • 29 Jan 24
  1. More software engineers are turning to Substack for professional education and insights in technology
  2. Top engineering newsletters on Substack provide valuable content for software engineers and tech workers
  3. Subscribing to engineering newsletters can help professionals stay informed, grow, and stand out in the industry
In My Tribe • 425 implied HN points • 09 Mar 24
  1. Addressing technical debt in outdated software systems is a significant business opportunity, especially using new pattern-matching models to optimize and secure old software.
  2. Leveraging large language models (LLMs) for customer support improvement and developing efficient back-office apps for various sectors presents lucrative business prospects.
  3. Special-purpose robots tailored for specific tasks like security or medical procedures offer practical business opportunities compared to humanoid robots.
Blog System/5 • 493 implied HN points • 29 Feb 24
  1. The post summarizes interesting articles, videos, and projects from February 2024 with added commentary to urge readers to explore the content.
  2. There are discussions on topics like old hardware databases, software development reflections, and the challenges of modern software bloat.
  3. The author explores topics like breaking memory limitations in DOS, DJGPP running GNU programs on DOS, and the creation of a library in Rust for implementing memory vulnerabilities.
Ulysses • 619 implied HN points • 11 Feb 24
  1. The relationship between return-seeking capital and new technology development creates cycles that go from early adoption to commodity status, setting the stage for the next wave of technological innovation.
  2. Software in the SaaS sector is moving towards commodification, freeing up resources for progressing technologies like artificial intelligence, robotics, biotech, and space innovations.
  3. Advancements in robotics, biotech, accelerated design and manufacturing, and space technology are being driven by the commodification of software intelligence, leading to a new Golden Age of innovation in various industries.
Rhea's Substack • 254 HN points • 30 Mar 24
  1. The recent discovery of a backdoor in the xz/liblzma tarball raises concerns about trust in the free software ecosystem.
  2. Analyzing the time patterns of code commits can reveal valuable insights about a developer's work habits and potential attempts at deception.
  3. Changing time zones to manipulate commit timestamps can be a deceptive tactic in software development, but inconsistencies can ultimately reveal the truth.
Hardcore Software • 687 implied HN points • 24 Jan 24
  1. The introduction of the Apple Macintosh in 1984 profoundly changed computing and many people's lives
  2. The Macintosh brought empowerment, elegance, and a sense of mastery to users and developers, setting a new standard in the industry
  3. The Macintosh's impact was widespread, transforming document creation, software development, and user experiences on college campuses and beyond
Numlock News • 786 implied HN points • 08 Jan 24
  1. Star Citizen is a video game in alpha development raising massive funds through selling digital spaceships.
  2. Instant ramen sales are booming globally, with a spicy chicken-flavored soup gaining popularity in the US.
  3. Automation struggles as some tasks are easy for humans but difficult for robots, showcasing a low robot usage rate in US manufacturing plants.
Confessions of a Code Addict • 336 implied HN points • 08 Mar 24
  1. The upcoming live session will focus on CPUs, GPUs, and LPUs, exploring what makes them non-deterministic and discussing Groq's LPU design and architecture.
  2. The live session will include an Ask Me Anything (AMA) segment, where attendees can freely ask questions related to the discussed topics or anything else they're curious about.
  3. The event is scheduled for March 17th from 16:30 UTC to 18:00 UTC and will be limited to 100 participants, offering a mix of informative content and interactive Q&A.
Computer Ads from the Past • 384 implied HN points • 27 Feb 24
  1. Salamander Software was a collective run by friends from Sussex University, known for their Dragon charbusters like Night Flight and Franklin's Tomb.
  2. Their game Franklin's Tomb, part of the Dan Diamond trilogy, was a text adventure involving mummies, mazes, and a white rabbit. It had a split screen, save game feature, and clues for upcoming adventures.
  3. Reviewers praised Franklin's Tomb for its quality, engaging gameplay, and the need for exploration and puzzle-solving. The game utilized the full memory of the computers it was available on.
Platformer • 3164 implied HN points • 24 Feb 23
  1. Twitter employees faced disruptions like Slack going down and Jira not working, causing frustration and questions about payment.
  2. Elon Musk announced plans to open source Twitter's algorithm, but doubts arise among employees about the transparency and actual release of the code.
  3. Twitter's performance has been degrading, with issues like increased latency during peak usage times, including events like the Super Bowl and a Twitter outage in Asia.
The Chip Letter • 2466 implied HN points • 25 Jul 23
  1. Intel announced APX, the next evolution of Intel architecture, with improvements in registers and performance
  2. The introduction of APX includes doubling the number of general purpose registers, new instructions, and enhancements for better performance
  3. Intel also revealed a new vector ISA, AVX10, to establish a common vector instruction set across all architectures
Rory’s Always On Newsletter • 1218 implied HN points • 26 Oct 23
  1. Patients and healthcare practitioners have had similar experiences of delays and poor communication within the NHS.
  2. Minor software tweaks can lead to significant time and cost savings for the NHS.
  3. Driving change within the NHS requires incentives, a vision for improvement, and individuals committed to pushing through the changes.
Mostly Python • 314 implied HN points • 15 Feb 24
  1. Testing a Django project in a book involves creating a copy of the project, setting up a separate virtual environment, and ensuring it functions correctly on new Django versions.
  2. When testing a Django project, focus is usually on internal code, but the priority here is verifying functionality on new Django versions due to its frequent updates.
  3. The post discusses developing a single test function for a Django project named Learning Log, emphasizing the importance of testing project functionality as intended.
CodeYam’s Substack • 5 HN points • 04 Jun 24
  1. CodeYam is a software simulator that automatically isolates every feature of your software and creates simulated data to help visualize how code changes will impact the product and users.
  2. The simulator generates interactive demos that allow developers to test code changes effectively, share progress with stakeholders, and help new team members understand the application and code faster.
  3. As AI becomes more involved in coding, the human team members will need to define, validate, and improve the product created by AI, making high-quality tools like CodeYam essential for effective communication and understanding of the software being built.
Computer Ads from the Past • 384 implied HN points • 24 Jan 24
  1. Hudson Soft was a Japanese company that started as an electronics store and later moved into game development.
  2. Hudson Soft created popular games like Bomberman, Adventure Island, and Bonk for various gaming systems.
  3. HuCAL, a product by Hudson Soft, was initially thought to be a word processor but was actually a spreadsheet used on Sega systems.
Meaningness • 279 implied HN points • 10 Feb 24
  1. The story highlights the journey of someone who transitioned from an exciting tech scene in San Francisco to tackling real-world software problems in Akron, Ohio.
  2. Facing an intricate software challenge, the protagonist decides to take a different, meta-rational approach by engaging with non-stakeholders and embarking on a 'gemba walk' to better understand the situation.
  3. The narrative emphasizes the importance of hands-on experience and direct observation in resolving complex issues, showcasing the value of practical problem-solving over bureaucratic processes.
The Orchestra Data Leadership Newsletter • 39 implied HN points • 04 May 24
  1. Data Teams still prefer classic open source tools over workflow orchestration functionality on Data and AI platforms.
  2. The Data Orchestration category might be fading as orchestration becomes embedded in other platforms and pricing becomes a concern.
  3. A robust system of control and management for data and AI pipelines is vital, encompassing aspects like alerting, lineage, metadata, infrastructure, and multi-tenancy support.
Brad DeLong's Grasping Reality • 169 implied HN points • 04 Mar 24
  1. It's uncertain how current AML GPT LLMs will be most useful in the future, so spending too much time trying to master them may not be the best approach.
  2. Proper prompting is crucial when working with AML GPT LLMs as they can be capable of more than initially apparent. Good prompts can make tasks that seem impossible into achievable ones.
  3. Understanding the thought processes and effective way to prompt AML GPT LLMs is essential, as their responses can vary based on subtle changes or inadequate prompting.