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The article discusses Ghostty, a nonprofit organization founded by Mitchell Hashimoto, the creator of Vagrant. Ghostty aims to provide free and open-source software to help nonprofits and other organizations with their technology needs, with a focus on simplifying infrastructure and operations.

https://archive.is/AKhTr

The article examines the price trends of computer memory (RAM) over time, providing insights into the fluctuations in the memory market and how prices have changed for different memory types and capacities.

The article discusses a critical vulnerability discovered in the Filevine API, a popular legal case management platform. The vulnerability could have allowed unauthorized access to sensitive client data, highlighting the importance of robust security measures in enterprise software.

Micron Technology, a leading semiconductor company, has announced its decision to exit the Crucial consumer business. This strategic move aims to focus Micron's resources on its core memory and storage products for the data center, industrial, and automotive markets.

This article discusses the history and evolution of the Game of Life, a cellular automaton that demonstrates complex patterns from simple rules. It explores how the game has been used in various fields, including computer science, mathematics, and art, and how it continues to inspire new discoveries and applications.

The article provides a brief history of the ACME protocol, which has significantly impacted internet security by revolutionizing the way websites obtain and manage SSL/TLS certificates, making the process more accessible and automated.

Kea is an open-source, high-performance, extensible DHCP and DNS server developed by ISC. It provides a modern, flexible, and customizable solution for managing IP address assignments and domain name resolution in network environments.

When I bought my home, the big bank I'd been using for years quoted me 7% APR. A local credit union was offering 5.5% for the exact same mortgage.

I was surprised until I learned that mortgages are basically standardized products – the government buys almost all of them (see Bits About Money: https://www.bitsaboutmoney.com/archive/mortgages-are-a-manuf...). So what's the price difference paying for? A recent Bloomberg Odd Lots episode makes the case that it's largely advertising and marketing (https://www.bloomberg.com/news/audio/2025-11-28/odd-lots-thi...). Credit unions are non-profits without big marketing budgets, so they can pass those savings on, but a lot of people don't know about them.

I built this dashboard to make it easier to shop around. I pull public rates from 120+ credit union websites and compares against the weekly FRED national benchmark.

Features:

- Filter by loan type (30Y/15Y/etc.), eligibility (the hardest part tbh), and rate type - Payment calculator with refi mode (CUs can be a bit slower than big lenders, but that makes them great for refi) - Links to each CU's rates page and eligibility requirements - Toggle to show/hide statistical outliers

At the time of writing, the average CU rate is 5.91% vs. 6.23% national average. about $37k difference in total interest on a $500k loan. I actually used seaborn to visualize the rate spread against the four big banks: https://www.reddit.com/r/dataisbeautiful/comments/1pcj9t7/oc...

Stack: Python for the data/backend, Svelte/SvelteKit for the frontend. No signup, no ads, no referral fees.

Happy to answer questions about the methodology or add CUs people suggest.

The article discusses a security vulnerability in Next.js, a popular React framework, that could allow an attacker to access sensitive data. The vulnerability has been patched, and users are advised to update to the latest version of Next.js to address this issue.

The article discusses methods for preserving and studying snowflakes, including techniques for capturing and mounting them for observation under a microscope. It provides insights into the intricate and diverse structures of these delicate ice crystals and the scientific research involved in understanding their formation and properties.

Corellium, a provider of virtualized mobile devices for security research, is being acquired by Cellebrite, a leading supplier of digital intelligence solutions. The acquisition aims to combine Corellium's expertise in mobile device virtualization with Cellebrite's capabilities in digital forensics and intelligence gathering.

Hi HN,

We are launching Phind 3 (https://www.phind.com), an AI answer engine that instantly builds a complete mini-app to answer and visualize your questions in an interactive way. A Phind mini-app appears as a beautiful, interactive webpage — with images, charts, diagrams, maps, and other widgets. Phind 3 doesn’t just present information more beautifully; interacting with these widgets dynamically updates the content on the page and enables new functionality that wasn’t possible before.

For example, asking Phind for “options for a one-bedroom apartment in the Lower East Side” (https://www.phind.com/search/find-me-options-for-a-72e019ce-...) gives an interactive apartment-finding experience with customizable filters and a map view. And asking for a “recipe for bone-in chicken thighs” gives you a customizable recipe where changing the seasoning, cooking method, and other parameters will update the recipe content itself in real-time (https://www.phind.com/search/make-me-an-recipe-for-7c30ea6c-...).

Unlike Phind 2 and ChatGPT apps, which use pre-built brittle widgets that can’t truly adapt to your task, Phind 3 is able to create tools and widgets for itself in real-time. We learned this lesson the hard way with our previous launch – the pre-built widgets made the answers much prettier, but they didn’t fundamentally enable new functionality. For example, asking for “Give me round-trip flight options from JFK to SEA on Delta from December 1st-5th in both miles and cash” (https://www.phind.com/search/give-me-round-trip-flight-c0ebe...) is not something that neither Phind 2 nor ChatGPT apps can handle, because its Expedia widget can only display cash fares and not those with points. We realized that Phind needs to be able to create and consume its own tools, with schema it designs, all in real time. Phind 3’s ability to design and create fully custom widgets in real-time means that it can answer these questions while these other tools can’t. Phind 3 now generates raw React code and is able to create any tool to harness its underlying AI answer, search, and code execution capabilities.

Building on our history of helping developers solve complex technical questions, Phind 3 is able to answer and visualize developers’ questions like never before. For example, asking to “visualize quicksort” (https://www.phind.com/search/make-me-a-beautiful-visualizati...) gives an interactive step-by-step walkthrough of how the algorithm works.

Phind 3 can help visualize and bring your ideas to life in seconds — you can ask it to “make me a 3D Minecraft simulation” (https://www.phind.com/search/make-me-a-3d-minecraft-fde7033f...) or “make me a 3D roller coaster simulation” (https://www.phind.com/search/make-me-a-3d-roller-472647fc-e4...).

Our goal with Phind 3 is to usher in the era of on-demand software. You shouldn’t have to compromise by either settling for text-based AI conversations or using pre-built webpages that weren’t customized for you. With Phind 3, we create a “personal internet” for you with the visualization and interactivity of the internet combined with the customization possible with AI. We think that this current “chat” era of AI is akin to the era of text-only interfaces in computers. The Mac ushering in the GUI in 1984 didn’t just make computer outputs prettier — it ushered in a whole new era of interactivity and possibilities. We aim to do that now with AI.

On a technical level, we are particularly excited about:

- Phind 3’s ability to create its own tools with its own custom schema and then consume them

- Significant improvements in agentic searching and a new deep research mode to surface hard-to-access information

- All-new custom Phind models that blend speed and quality. The new Phind Fast model is based on GLM-4.5-Air while the new Phind Large model is based on GLM 4.6. Both models are state-of-the-art when it comes to reliable code generation, producing over 70% fewer errors than GPT-5.1-Codex (high) on our internal mini-app generation benchmark. Furthermore, we trained custom Eagle3 heads for both Phind Fast and Phind Large for fast inference. Phind Fast runs at up to 300 tokens per second, and Phind Large runs at up to 200 tokens per second, making them the fastest Phind models ever.

While we have done Show HNs before for previous Phind versions, we’ve never actually done a proper Launch HN for Phind. As always, we can’t wait to hear your feedback! We are also hiring, so please don’t hesitate to reach out.

– Michael

This article presents an interactive browser for the microcode of the Intel 8086 microprocessor, allowing users to explore the internal workings of this classic CPU architecture. The article provides a detailed technical overview of the 8086 microcode and its implementation, enabling a deeper understanding of how this seminal processor functions.

This article explores the concept of Lie groups, which are mathematical structures that describe the symmetries of objects. It explains how Lie groups have applications in fields like physics, chemistry, and computer science, and how they provide a systematic way to study and understand the properties of symmetric systems.

This article provides a step-by-step guide on how to synthesize a house music loop using common digital audio workstation (DAW) software and techniques, including sound design, pattern creation, and mixing.

The article explores the growing backlash against AI technology in Seattle, with residents expressing concerns over issues like job displacement, privacy, and the ethical implications of AI systems. It highlights the challenges that tech companies face in gaining public acceptance for their AI-powered products and services.

The article discusses the challenges faced by Linux kernel developers in maintaining a consistent user experience across different hardware platforms, highlighting the need for better hardware enablement and resource management in the kernel.

This article explores the concept of community of trust (CoT) as a framework for building secure and trustworthy distributed systems. It discusses the key principles of CoT, including identity, authority, and transparency, and how they can be applied to ensure the reliability and integrity of decentralized applications.

The article presents a new algorithm called 'smallest-dtoa' that can efficiently convert floating-point numbers to decimal strings, achieving smaller output sizes compared to previous methods. This has implications for data storage and transmission, especially in resource-constrained environments.

The article explores the common issue of headphones buzzing when running a game, discussing potential causes such as electrical interference, grounding issues, and audio device settings. It provides troubleshooting steps to help users identify and resolve the problem.

https://archive.md/HqXUD

This commit to the Minio project introduces support for IAM policies, allowing for fine-grained access control and permissions management for users and groups interacting with Minio servers.

The article discusses a method for adding integers using a bit manipulation technique. It explains how to perform addition by breaking down the numbers into their binary representations and using logical operations to compute the sum and carry bits.

I built Fresh to challenge the status quo that terminal editing must require a steep learning curve or endless configuration. My goal was to create a fast, resource-efficient TUI editor with the usability and features of a modern GUI editor (like a command palette, mouse support, and LSP integration).

Core Philosophy:

- Ease-of-Use: Fundamentally non-modal. Prioritizes standard keybindings and a minimal learning curve.

- Efficiency: Uses a lazy-loading piece tree to avoid loading huge files into RAM - reads only what's needed for user interactions. Coded in Rust.

- Extensibility: Uses TypeScript (via Deno) for plugins, making it accessible to a large developer base.

The Performance Challenge:

I focused on resource consumption and speed with large file support as a core feature. I did a quick benchmark loading a 2GB log file with ANSI color codes. Here is the comparison against other popular editors:

  - Fresh:   Load Time: *~600ms*     | Memory: *~36 MB*
  - Neovim:  Load Time: ~6.5 seconds | Memory: ~2 GB
  - Emacs:   Load Time: ~10 seconds  | Memory: ~2 GB
  - VS Code: Load Time: ~20 seconds  | Memory: OOM Killed (~4.3 GB available)

Development process:

I embraced Claude Code and made an effort to get good mileage out of it. I gave it strong specific directions, especially in architecture / code structure / UX-sensitive areas. It required constant supervision and re-alignment, especially in the performance critical areas. Added very extensive tests (compared to my normal standards) to keep it aligned as the code grows. Especially, focused on end-to-end testing where I could easily enforce a specific behavior or user flow.

Fresh is an open-source project (GPL-2) seeking early adopters. You're welcome to send feedback, feature requests, and bug reports.

Website: https://sinelaw.github.io/fresh/

GitHub Repository: https://github.com/sinelaw/fresh

Rocketable is seeking a Founding Engineer to help build an automation platform that streamlines workflows and increases productivity for teams. The ideal candidate will have expertise in software engineering, automation, and developing user-friendly tools.

Alan Dye, Apple's former vice president of user interface design, is leaving the company after over a decade of service. Dye was responsible for the visual design of many of Apple's most popular products, including the iPhone and iPad.

https://archive.ph/RlKoj

The article discusses the development of the 'Great Snake Wall Trench', a unique landscape feature in China's Sichuan province. It highlights the historical and cultural significance of this ancient defense system, which was built to protect against invasions and has since become an important part of the local heritage.