The hottest Software Substack posts right now

And their main takeaways
Category
Top Technology Topics

And here's the video

atomic14 • 0 implied HN points • 12 Aug 25
🕹 Technology Software
  1. The post features a video that was previously forgotten and is now included.
  2. There's a discussion about a printed circuit board (PCB) having a digital twin, highlighting modern technology.
  3. The content can be explored further through a link to read the full story online.

Why AI Security Can’t Stay Static

Phoenix Substack • 0 implied HN points • 11 Aug 25
🕹 Technology Software
  1. AI security needs to be more than just detecting threats; it must also be proactive. Attacks can slip through outdated defenses, so we need to constantly adapt to new threats.
  2. Current AI systems often have static environments that attackers can exploit. These environments allow attackers to learn and persist, which increases risk.
  3. Adaptive enforcement, like Automated Moving Target Defense, can improve AI security. By changing the attack surface frequently, it makes it harder for attackers to gain a foothold.

TVs Aren’t Just Big Monitors — OSs Should Treat Them Differently

Kartick’s Blog • 0 implied HN points • 23 Nov 25
🕹 Technology Software
  1. TVs are used differently than monitors, so operating systems should adjust settings accordingly. For example, videos should automatically go full-screen on the TV when it's connected.
  2. Audio and video should sync properly when using a TV to avoid jarring experiences. The TV should be the default for audio, as it usually has better speakers than laptops.
  3. Users should be able to control the TV's volume and playback functions easily, ideally using the TV remote. This would create a smoother experience when switching between devices.

Living Without Reliable Internet: What Worked and What Changed

Kartick’s Blog • 0 implied HN points • 14 Nov 25
🕹 Technology Software
  1. Staying offline can be refreshing and help break habits, like constantly watching YouTube. It's a chance to reset and experience life differently.
  2. Working with inconsistent internet means adapting your workflow to async methods. This lets you send messages and uploads at your own pace instead of needing instant connections.
  3. Using tools like AirDrop and understanding your phone's settings can help manage data and files more effectively. A good plan and reliable backup options can make a big difference in connectivity.

#36: When AI Starts Paying Rent

OSS.fund Newsletter • 0 implied HN points • 13 Nov 25
🕹 Technology Software
  1. AI projects should focus on delivering real, measurable value instead of just being interesting experiments. A good example is setting a clear payback target and sticking to it.
  2. Using AI in existing systems without requiring big changes can lead to better adoption and effectiveness. It’s better to integrate with what works rather than trying to overhaul everything.
  3. Having clear governance and keeping track of costs is essential when scaling AI. This means knowing who makes decisions and monitoring performance closely to quickly address any issues.
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Getting rid of the rot with auto-abandon

trydeepwork • 0 implied HN points • 28 Nov 25
🕹 Technology Software
  1. Task lists that remember everything become overwhelming and guilt-inducing, so trydeepwork automatically abandons tasks that get no attention for 90 days and notifies you first.
  2. The only way to keep a task alive is to actually work on it — you can’t snooze or postpone it — which keeps your workspace focused on current, actionable work.
  3. Long-term or “someday” ideas belong in other tools like Google Docs or Todoist; auto-abandon also serves as a clear signal to revive truly important items or let them go.

Generating an API README with AI

The API Changelog • 0 implied HN points • 19 Dec 25
🕹 Technology Software
  1. A clear, high-quality README is essential because a bad one can damage your API's reputation; it's better to have no README than a poor one.
  2. AI can generate good overview and getting-started sections from a complete machine-readable API spec like OpenAPI, but the spec must include onboarding details (auth, credentials) and starter operations should be tagged.
  3. Tag important operations by use case so AI can find and document them, and always review and manually approve any AI-generated README updates rather than fully automating the process.

API Prototyping in Practice

The API Changelog • 0 implied HN points • 06 Dec 25
🕹 Technology Software
  1. Build small, just-in-time API prototypes to validate one assumption at a time and get real consumer feedback before you implement the full API.
  2. Use OpenAPI and mock-server tools to quickly turn specs into working prototypes you can share and iterate on as the spec changes.
  3. Prototyping reduces the risk of building unusable APIs, but adoption is limited by delivery pressure and the current lack of unified, low-cost tooling, so teams must weigh the upfront cost against long-term value.

How to Typeless

My Home Office Hacks • 0 implied HN points • 01 Dec 25
🕹 Technology Software
  1. Typeless lets you dictate to your computer or phone across multiple apps and in browsers, which is much faster than typing.
  2. Typeless offers a free plan for 2,000 words per week and supports 100 languages, with a Pro plan priced at $60 per year or $30 per month.
  3. The Rocketbook New Core is a reusable spiral notebook meant to replace traditional paper notebooks, and it was listed at about $26.12 for Cyber Monday.

A free way to edit PDFs? Yes, please.🙏

My Home Office Hacks • 0 implied HN points • 24 Nov 25
🕹 Technology Software
  1. SimplePDF lets you edit PDFs for free without creating an account, so you can avoid forced sign‑ups and paid upgrades.
  2. The Rocketbook New Core reusable spiral notebook is highlighted as a reusable notes option and is on a Black Friday deal around $27.99.
  3. The post keeps a casual Thanksgiving vibe with Adam Sandler's song and reminds readers they can claim a free post or subscribe for paid content.

@adlrocha - Open Source is Dead. Long Live Open Execution

@adlrocha Weekly Newsletter • 0 implied HN points • 18 Jan 26
🕹 Technology Software
  1. AI coding agents are replacing human attention to docs and code, breaking attention-based monetization and already harming projects and jobs.
  2. Existing open-source business models (support, open-core, hosting, donations, dual licensing) are vulnerable to agent automation, so contributors need to shift from donation/attention models to utility-based monetization where execution is metered.
  3. The Glass Box Protocol proposes treating code as a capability: keep specs and tests open but publish verified executable blobs (e.g., Wasm) plus a manifest that meters and prices execution so humans can learn for free while agents pay for utility.

Les mocassins de quelqu'un d'autre

Squirrel Squadron Substack • 0 implied HN points • 26 Jan 26
🕹 Technology Software
  1. Automated status messages can be contradictory, for example saying a device is repaired while warning the keyboard or screen may not work, which confuses customers.
  2. If engineers or technicians don’t use and test the system themselves, they won’t notice silly or harmful messages that slip through.
  3. This gap between automation and human oversight can cost time, trust, and business; either update the system or make sure people regularly use and correct it.

New Claude Code funsies

Aliveness Studies • 0 implied HN points • 07 Feb 26
🕹 Technology Software
  1. Claude Code now has agent swarms — a team‑lead pattern that plans, delegates to subagents, and synthesizes results. It’s powerful but token‑hungry and gated behind a feature flag.
  2. Claude Code can write things to persistent memory and will store details unprompted, so it can remember information across interactions.
  3. In Plan mode you can 'compact chat and implement plan' which clears prior conversation and frees up context tokens so the agent can focus on implementing the plan.

5,127 Layers

Digital Native • 0 implied HN points • 13 Feb 26
🕹 Technology Software
  1. AI capabilities are advancing extremely fast, but real-world adoption is much slower because of regulatory, organizational, and social friction, so the sci‑fi future people hype is still a long way off.
  2. In the near term AI will mostly augment workers and boost productivity—some tasks like code generation are changing quickly, but demand for engineers and implementation roles will grow as companies integrate AI.
  3. Winners will pair simple AI interfaces with proprietary data, meaning software will evolve (not vanish) with lower margins, and rising inequality plus public backlash could meaningfully slow or reshape adoption.

🐿️ Tracer Bullets - The Insanely Profitable Tech Newsletter

Squirrel Squadron Substack • 0 implied HN points • 06 Feb 26
🕹 Technology Software
  1. Treat mistakes like tracer bullets: run cheap, fast experiments that will often be wrong so you get immediate feedback and learn quickly.
  2. Don’t stop at technical fixes — use failures to change culture and processes so you root out over-optimism, whitewashing, and the normalization of bad practices.
  3. Build disciplined rapid-learning loops: ask why repeatedly, do frequent post-mortems, and update norms so teams converge on the right results and make mistakes harder to repeat.

IINA Settings for a Better Experience

Kartick’s Blog • 0 implied HN points • 24 Feb 26
🕹 Technology Software
  1. Configure playback to pause when media opens and when the window loses focus, auto-play when entering full screen, and black out other monitors so you don’t miss or get distracted by video.
  2. Simplify the UI and controls by placing the on-screen controller at the bottom, disabling auto-resize, emptying the toolbar, preventing the scroll wheel from changing volume, enabling pinch-to-fullscreen, and using single-click to pause/resume for consistent interactions.
  3. Save screenshots to the Desktop in JPEG XL and copy them to the clipboard for easy use, and enable chapter markers in the progress bar so you can seek by story sections instead of timestamps.

Complexity Cascades: A Lesson Re-Learned through Building with AI

Front Left • 0 implied HN points • 13 Feb 26
🕹 Technology Software
  1. Vague goals and prompts cause complexity to explode, so define clear objectives, boundaries, and success criteria before asking for reviews.
  2. AI will mirror the complexity you give it, so act like the expert: do the hard thinking internally and ask the AI for focused, constrained help.
  3. Complexity is contagious and avoidable — interrupt runaway design early by questioning whether a system should exist, simplifying the problem, and realigning on the real objective.

Nobody Has This Figured Out

On Engineering • 0 implied HN points • 27 Feb 26
🕹 Technology Software
  1. Companies are shifting toward platform-style products where customers compose features from core primitives, which reduces the number of people needed to build and support those features. This is a strategic architectural change, not just a short-term cost cut.
  2. Many recent layoffs are as much a correction for pandemic-era overhiring as they are about intelligence tools, and AI is often used as a convenient narrative; the quieter impact shows up as unfilled requisitions and paused hires rather than dramatic firings.
  3. Engineers can’t just “build” and expect success — competition is fiercer and the moat is now distribution, trust, and business skills, so actively learning adjacent skills, experimenting, and adapting is wiser than staying passive.

What the Smartphone Revolution Got Right (and Wrong)

Kartick’s Blog • 0 implied HN points • 06 Mar 26
🕹 Technology Software
  1. Smartphones and cloud services became the central way people use computing, with apps acting as front-ends to powerful cloud backends while desktops remain the place for focused, deep work.
  2. Touch-first design won on phones and small screens, eliminating many legacy input methods, but full-sized keyboards, mice and larger displays stayed essential for professional productivity.
  3. Mobile hardware grew much more powerful and ARM spread into laptops, yet app-store/OS limits and fragmented carrier practices have kept many pro apps and seamless cellular connectivity tied to traditional PCs.

The worst productivity app

My Home Office Hacks • 0 implied HN points • 16 Mar 26
🕹 Technology Software
  1. Line makes you assign money to tasks and you forfeit that money if you don’t complete them, with the funds going either to the app or a friend you choose.
  2. That setup can punish procrastination twice — you lose the value of the task and also the money you put up as a penalty.
  3. It’s unclear and risky where forfeited funds actually go, creating trust and fairness concerns, though some people might still try the app.

Apps Are Dead; They Just Don’t Know It Yet

FREST Substack • 0 implied HN points • 10 Mar 26
🕹 Technology Software
  1. Apps as isolated containers are becoming unmanageable because AI makes building software cheap, so organizing your digital life around thousands of separate apps won’t scale.
  2. The app model arose from economic moats like hard distribution and costly infrastructure, and those moats are eroding as infrastructure is commoditised and AI lowers development costs.
  3. The future is fluid computation over shared data, where AI lets you manipulate any data across tools and interfaces without being locked into individual apps.