The hottest Software Substack posts right now

And their main takeaways
Category
Top Technology Topics
The Product Channel By Sid Saladi 10 implied HN points 14 Mar 26
  1. Many AI resume tools fabricate experience, invent metrics, and add skills you don’t have, and they usually charge monthly fees.
  2. A skill that only draws from your personal experience library can generate ATS-friendly .docx resumes tailored to each job without inventing anything, rewriting summaries and reordering experience to match job keywords.
  3. With the right Claude plan the skill is essentially free and gives you full control; you just enable code execution, spend 10–45 minutes filling your experience library, and then get a tailored resume in about 60 seconds.
Kathy PM 23 implied HN points 06 Mar 26
  1. Don’t stress about finding a single perfect passion — start by getting good at something practical, and passion often grows out of skill and momentum.
  2. Take risks early: try different roles, join startups, and be willing to fail because those experiments create big career leaps and help you figure out what you want.
  3. Trust your curiosity and grit; staying determined and adaptable will let you turn uncertainty or setbacks into defining opportunities.
Marcus on AI 6481 implied HN points 21 Dec 24
  1. OpenAI's new model, o3, was shown in a demo, but we can't be sure yet if it truly represents advanced AI or AGI. The demo only highlighted what OpenAI wanted to show and didn't allow public testing.
  2. The cost of using o3 is really high, potentially making it impractical compared to human workers. Even if it gets cheaper, there are concerns about how effective it would be across different tasks.
  3. Many claims about reaching AGI might pop up in 2025, but those claims need to be taken with caution. True advances in AI should involve solving more foundational problems rather than just impressive demos.
Big Technology 3002 implied HN points 23 May 25
  1. AI models are still getting better with size, but people are also focusing on new algorithms to improve them. This means companies like NVIDIA will continue to thrive for now.
  2. There's a growing belief that algorithm improvements might be more important than just making AI bigger. This might change how we think about developing AI in the future.
  3. AI technology is rapidly evolving, especially in video generation and coding, which could lead to significant advancements and some ethical concerns as it becomes more powerful.
Marcus on AI 7074 implied HN points 28 Nov 24
  1. ChatGPT has been popular for two years, but many of the initial uses people expected, like taking over Google, haven't happened. Companies are not as impressed with its real-world results.
  2. Despite promises of improvement, ChatGPT still struggles with inaccuracies and generating false information. Users continue to experience 'hallucinations' where the AI makes things up.
  3. The investment in AI is huge, but the fundamental issues with reliability and factual accuracy haven't improved significantly. There's a call for new approaches to make AI more trustworthy.
Get a weekly roundup of the best Substack posts, by hacker news affinity:
Computer Ads from the Past 512 implied HN points 01 Dec 25
  1. Write-Hand Man brought Sidekick-style pop-up utilities to CP/M, letting users call up a notepad, phonebook, calendar, calculator, file viewer and a communications tool without leaving their main program.
  2. It used memory-saving and swap-to-disk tricks so it could run in 64K CP/M systems, but that made it slow on floppy drives and could conflict with some modem programs unless you had a RAM disk or hard drive.
  3. Poor Person Software was an obscure small company that sold the utility at a modest price and had its product enhanced by Technical Micro Systems to add H/Z19 graphics and extra features.
The Lunduke Journal of Technology 574 implied HN points 16 Nov 25
  1. Two interviews were conducted, one with the creator of Ruby on Rails and another with a lawyer for 4chan, showing a variety of topics covered.
  2. The Lunduke Journal's YouTube channel reached 100,000 subscribers, which means they'll receive a silver award plaque.
  3. There’s a 50% discount on subscriptions available until November 24, making it a great time to sign up and get perks like access to videos and exclusive forums.
Jacob’s Tech Tavern 1968 implied HN points 28 Jul 25
  1. Setting alarms is crucial for daily management. They help keep a structured life, especially for those who might forget tasks easily.
  2. Apple's AlarmKit API allows users to create their own timers and alarms. This new feature can enhance control and personalization over reminders.
  3. Understanding how AlarmKit works can empower users to improve their productivity. It’s an exciting tool for anyone looking to manage their time better.
Sudo Apps 32 implied HN points 27 Feb 26
  1. Writing code is no longer the main bottleneck — modern coding models can build working products and CLIs in days, making implementation much cheaper.
  2. Different models have different strengths: Codex follows explicit direction and executes quickly, while models like Opus infer missing details and act more like a senior engineer.
  3. The human role shifts to architecture and judgment — engineers must plan systems end-to-end, define clear acceptance criteria, manage failure modes, and focus on product tradeoffs.
System Design Classroom 659 implied HN points 01 Jun 24
  1. The type of caching strategy you choose depends on your read and write ratios. If you read a lot, caching is very helpful, but if you write often, you need a more complex approach.
  2. Data consistency is crucial for some applications. Using methods like Write-Through helps keep data in cache and databases aligned, while other methods, like Write-Behind, prioritize speed over immediate consistency.
  3. To see if your caching is effective, you should track metrics like how many times data is successfully retrieved from the cache versus not retrieved. This will help you understand how well your caching is working.
Gonzo ML 252 implied HN points 06 Jan 26
  1. 2025 was the year of agents — they’re being built into every product and API, but many still fail often and lag traditional reliability standards, so expect more focus on making them robust.
  2. Code agents and agentic tools for science made big practical gains, with autonomous multi-step work across repositories and early successes in automated research and math.
  3. The hardware and model landscape shifted: TPUs and strong Chinese open models reduced dependence on a single vendor, AGI hype cooled with timelines pushed out, and world-model research kept advancing.
Doomberg 293 implied HN points 19 Dec 25
  1. AI is the defining topic of 2025 and is likely to shape the year ahead.
  2. As the cost of cognitive work approaches zero, AI will drastically change how work and value are produced, so understanding it is essential.
  3. There are pro-level paid briefings and learning notes available for people who want deeper, practical insight into AI’s implications.
Enterprise AI Trends 189 implied HN points 13 Jan 26
  1. Vibe coding lets well-resourced incumbents build and ship complex apps extremely quickly, eroding the startup advantage of speed.
  2. Fast build plus large distribution amplifies incumbents' power, making it harder for single startups to capture and grow a market share.
  3. Startups need to rethink their playbooks now—velocity alone won’t protect them, so they should pursue alternative defensibilities like unique data, deep integrations, or niche specialization.
Marcus on AI 4703 implied HN points 09 Feb 25
  1. Large language models (LLMs) can make mistakes, sometimes creating false information that is hard to spot. This is a recurring issue that has not been fully addressed over the years.
  2. Google has been called out for its ongoing issues with LLMs failing to provide accurate results, as these problems seem to occur regularly.
  3. The idea of rapid improvements in AI technology may be overhyped, as the same mistakes keep happening, indicating slower progress than expected.
Disaffected Newsletter 1938 implied HN points 06 Feb 24
  1. Many everyday machines now have annoying delays when performing simple tasks that used to be instant, like using ATMs or accessing files. It's frustrating because these are basic functions.
  2. Modern devices often prioritize a fancy user experience over speed and efficiency, making us wait longer for actions that used to happen quickly. This creates a feeling of disconnect between users and their machines.
  3. The trend seems to be moving towards making everything software-controlled, even when it seems unnecessary. This can make basic interactions tedious and less intuitive for users.
Artificial Ignorance 113 implied HN points 02 Feb 26
  1. The Codex desktop app turns coding into managing multiple AI agents, using git worktrees to run parallel, isolated workstreams so you can review and orchestrate instead of writing every line.
  2. Combining Skills, MCPs, Automations, compaction, and stronger long-horizon models lets agents run long, coherent threads that fetch context, test, and deploy, so you can work at a higher level of abstraction.
  3. The role of programmers is shifting from hands-on craftsmanship to providing vision, taste, and judgment, which increases leverage but can feel bittersweet for those who love building code themselves.
Bite code! 1834 implied HN points 23 Jul 25
  1. 'Parse, don't validate' means that we should focus on understanding and converting our input into a usable format instead of just checking if it's correct. This makes our code more reliable.
  2. Parsing is about changing raw data into a structured format that makes it easier to work with, which can also help us avoid mistakes later on.
  3. In Python, the way we structure our data impacts how much work we need to do and how confident we can be in our code. It's important to find the right balance of parsing versus performance.
Justin E. H. Smith's Hinternet 1451 implied HN points 11 Aug 25
  1. ChatGPT-5 has improved capabilities for creating vivid and detailed responses. It can transport users to different scenarios and evoke strong feelings.
  2. The AI has limits, especially when it comes to emotions and personal experiences. It can't replace genuine feelings or memories.
  3. Users enjoy experimenting with the AI, pushing its boundaries to see how it responds, which leads to both humorous and insightful interactions.
Computer Ads from the Past 384 implied HN points 08 Dec 25
  1. Komputerwerk was a Pennsylvania-based company from the mid-1980s that made tools for compiled BASIC; records conflict but it appears to be no longer active.
  2. Its flagship product, Finally!, was a library of over 100 named subroutines for compiled BASIC, with source code and documentation for tasks like array math, string trimming, sorting, charts, and system queries.
  3. They also sold Xgraf, an assembly-language graphics kernel for QuickBASIC that added extended graphics calls, screen packing, zooming, and file save/load/import features.
The Chip Letter 2402 implied HN points 05 Jun 25
  1. Intel has introduced APX, which includes several new features to improve its architecture. This means that Intel is aiming to enhance performance and efficiency.
  2. The company planned to simplify its architecture by removing some older features with X86S. However, they decided to abandon this simplification due to the importance of maintaining backward compatibility.
  3. Backwards compatibility is essential, as it allows older software to run on new systems. This decision shows Intel's commitment to supporting their users and legacy applications.
Enterprise AI Trends 189 implied HN points 10 Jan 26
  1. Agentic coding tools can rapidly build and interact with complex enterprise apps, putting classic software moats at risk and forcing them to evolve.
  2. In a quick experiment, an AI built a barebones CRM in a few hours and autonomously extracted data from logged-in pages, showing how easily core functionality and data access can be replicated.
  3. Software businesses aren't necessarily doomed. They must rethink moats, focusing on continuous product differentiation, integrations, and defenses beyond enterprise inertia.
Sunday Letters 139 implied HN points 11 Aug 24
  1. AI is a big change, and it's hard to label it just good or bad. We're still figuring out how to use it effectively, but it has a lot of potential.
  2. In everyday life, AI is starting to prove useful in small ways, like transcribing recipes quickly or helping create survey questions.
  3. Just like with e-commerce and search engines, AI will gradually become more integrated into our lives as people find ways to use it better.
In My Tribe 288 implied HN points 12 Dec 25
  1. AI will eventually do most software engineering by taking English prompts to write and maintain business applications, making traditional developers unnecessary for routine work.
  2. Robots that understand and respond to human language will become much more useful, sparking a robotics boom and creating new roles for people who design practical uses for them.
  3. AI will automate many routine tasks in education and health care — personalized teaching software will handle factual instruction and AI tools could diagnose and treat — but political and institutional resistance means assisting human professionals will come first.
Resilient Cyber 99 implied HN points 20 Aug 24
  1. Application Detection & Response (ADR) is becoming important because attackers are increasingly targeting application vulnerabilities. This shift means we need better tools that focus specifically on applications.
  2. Modern software systems are complex, making it hard for traditional security tools to catch real threats. That's why understanding how these systems interact can help identify harmful behavior more effectively.
  3. There’s a big push to find and fix security issues early in the development process. However, this focus on early detection often misses what's actually happening in real-life applications, making runtime security like ADR crucial.
Rings of Saturn 116 implied HN points 26 Jan 26
  1. The R&R mod turns Sonic R into a relaxed exploration mode with unlimited time to wander and a Retire option to end a session. It also reworks controls to lower top speed, improve turning and traction, and simplifies the HUD for exploration.
  2. Collectibles and unlocks no longer require winning races: if you leave a course you keep any Chaos Emeralds you found, and collecting all five Sonic tokens marks you as having won and unlocks special characters. That makes getting extras and exploring possible without racing pressure.
  3. The mod implements these changes by patching in-ROM game state and control tables—adjusting race-state values, skipping finish/lap checks, overriding HUD rendering, and changing character parameters—so the original game logic still runs while allowing indefinite, exploration-focused play.
Not Boring by Packy McCormick 130 implied HN points 17 Jan 26
  1. New medical AI can now natively read full 3D scans and handle medical speech, making it much easier for developers to build tools that help doctors interpret MRIs and CTs.
  2. Generative AI platforms like Claude are shrinking the gap between idea and product, letting people quickly prototype apps, viewers, and games without deep engineering.
  3. Hard-tech is accelerating: Tesla’s fast, cleaner lithium refinery eases battery supply bottlenecks, robotic IVF systems are automating embryo creation to boost success and scale, and governments and companies are moving forward on lunar power and hospitality projects.
Computer Ads from the Past 256 implied HN points 24 Dec 25
  1. Readers are invited to vote on the December 2025 + post topic from several options.
  2. The choices are magazine images and ads spanning decades (1977, 1986, 1992, 1995), showing a wide range of retro computing products.
  3. The post will be published before the end of the year, supporters are thanked, and readers can claim the free post or subscribe to access paid content.
Brad DeLong's Grasping Reality 292 implied HN points 15 Dec 25
  1. Musk’s grand claims for the Optimus robot—mass production, huge productivity gains, and trillions in revenue—read more like hype than realistic projections. They aren’t backed by results so far.
  2. Videos and past admissions suggest many demos are remotely puppeteered or staged, making the robot appear less autonomous and more like an illusion. The mishaps and strange behavior look like operator control, not finished technology.
  3. Tesla’s core EV development looks stagnant and competitors are pulling ahead, so the company’s high valuation depends on speculative future products like the humanoid robot actually delivering. If those breakthroughs don’t happen, the valuation is at risk.
Rings of Saturn 43 implied HN points 18 Feb 26
  1. The game doesn't store cheat passwords directly; it computes a CRC-32 checksum of whatever you type and compares that to a table of stored checksums to hide the real codes.
  2. Because CRC-32 updates can be reversed on a per-byte basis, a meet-in-the-middle attack that splits 10-letter codes into two 5-letter halves makes finding matching inputs feasible without brute forcing 26^10 combinations.
  3. Using that technique revealed many alternate valid strings and four previously unknown cheat effects (like No Reload and Unlimited Ammo), since many different 10-letter inputs map to the same 32-bit checksum.
Marcus on AI 4426 implied HN points 10 Jan 25
  1. Sam Altman shares insights on artificial intelligence and its impact on society.
  2. He emphasizes the importance of careful consideration and planning for AI's future.
  3. Altman encourages open discussions about the ethical implications of AI advancements.
Cabinet of Wonders 369 implied HN points 02 Dec 25
  1. Small, well-designed everyday gifts can be both useful and delightful, like a simple digital-analog watch, a pocket notebook, or a thin Tyvek wallet.
  2. Playful maker tools and creative hobbies — from type-design software and open-ended construction kits to Lego guides and ambigram puzzles — are great for tinkering, learning, and having fun.
  3. There’s a bigger theme urging technology and systems to enrich our lives rather than drain them, accompanied by curated links and a call to resonant computing and thoughtful design.
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.
More Than Moore 373 implied HN points 01 Dec 25
  1. NVIDIA is investing $2 billion and forming a multi-year partnership with Synopsys to GPU-accelerate and add AI and digital-twin support across Synopsys’ EDA, simulation, and multiphysics tools. The goal is to let customers run much larger and faster simulations and tighten engineering iteration loops.
  2. Moving these tools to accelerated hardware will require deep solver and algorithm reformulation and is a multi-year, hybrid effort. Many safety-critical or high-fidelity flows will remain FP64 or mixed-precision for validation and accuracy.
  3. The companies hope faster, cheaper simulation will expand the total market for virtual prototyping across industries, but delivery details, pricing models, and practical hardware neutrality remain unclear and may favor NVIDIA’s stack in practice.
Software Design: Tidy First? 397 implied HN points 22 Nov 25
  1. Limited-time Black Friday deal: $180/year through December 1st, reduced from the usual $250.
  2. Paid subscribers get early access to unpolished essays, a problem-solving chat community, and weekly "Thinkies" that teach habits for creative thinking.
  3. The project aims to help technical people feel safer as machines start to code, exploring responsibility and what changes when capabilities and speed increase.
Marcus on AI 4189 implied HN points 09 Jan 25
  1. AGI, or artificial general intelligence, is not expected to be developed by 2025. This means that machines won't be as smart as humans anytime soon.
  2. The release of GPT-5, a new AI model, is also uncertain. Even experts aren't sure if it will be out this year.
  3. There is a trend of people making overly optimistic predictions about AI. It's important to be realistic about what technology can achieve right now.
Technically 22 implied HN points 03 Mar 26
  1. The newsletter has evolved from a solo project into a multi-writer, editor-led publication that delivers deeper technical stories.
  2. AI is reshaping the labor market in complicated ways: some firms are cutting large numbers of jobs, but new specialized roles are appearing and software job openings are actually up.
  3. The readership is shifting toward industrial companies curious about using software and AI at work, so they're running a short reader survey to find out which topics to cover.
Don't Worry About the Vase 1881 implied HN points 17 Jun 25
  1. o3-pro can handle bigger problems but can be slow, which might disrupt your workflow. It’s often better to queue up questions for later use instead of waiting for immediate answers.
  2. Many users see o3-pro as slightly better than o3 but still not perfect, especially in areas like coding where its performance can be inconsistent. It works well for in-depth analysis, but may not be the best for all tasks.
  3. The significant price drop for o3 makes it a more appealing choice for general use compared to o3-pro, which is seen as special-case only. This change could lead to more ambitious AI projects with the same budget.
Deus In Machina 72 implied HN points 05 Feb 26
  1. Technological lock-in has been the default for decades, so AI tools are more inheriting existing monocultures than creating them. They might speed up adoption of dominant tools, but the fundamental switching costs already existed.
  2. Products and tools tend to win by being familiar, not necessarily by being better, because people avoid relearning interfaces. That’s why many improvements preserve old APIs and conventions instead of introducing new paradigms.
  3. Concrete chokepoints — like the C ABI, curly-brace syntax, dominant CPU/GPU ecosystems, and the browser stack — show how early choices constrain future innovation. Those entrenched standards make it hard for new languages, hardware, or platforms to gain traction even before factoring in AI.
Jacob’s Tech Tavern 1749 implied HN points 24 Jun 25
  1. Apple's concurrency APIs have evolved significantly since 1977, with each new version reflecting advancements in technology. Today, developers can handle complex tasks easily, thanks to modern tools.
  2. In the early days of computing, like with the Apple ][, parallel processing was nearly impossible because machines had limited capabilities. Over the years, technology grew, leading to better tools for developers.
  3. Swift Concurrency is considered a major breakthrough for the Swift programming language, making it easier to manage multiple tasks and streamline code.
Big Technology 4503 implied HN points 09 Dec 24
  1. Generative AI is mainly used in businesses right now because they face unique problems. Companies are investing in it to process information and improve operations.
  2. Spending on generative AI is mostly for tools like ChatGPT and APIs for building custom solutions. This growth in enterprise spending may help develop AI technologies for consumers later on.
  3. OpenAI and Amazon are becoming competitors in the AI space. Their focus and innovations can change how AI is used in both business and personal applications.