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Due to bike-induced concussions, I've been worried for a while about losing my memory and not being able to log back in.

I combined shamir secret sharing (hashicorp vault's implementation) with age-encryption, and packaged it using WASM for a neat in-browser offline UX.

The idea is that if something happens to me, my friends and family would help me get back access to the data that matters most to me. 5 out of 7 friends need to agree for the vault to unlock.

Try out the demo in the website, it runs entirely in your browser!

The article provides an overview of the author's personal website, ekinsey.dev, which showcases their work as a software engineer and web developer. It highlights the site's clean design, portfolio of projects, and blog covering various tech-related topics.

The article discusses how Wall Street investors are increasingly monetizing youth sports through pay-to-play models, making participation inaccessible for many families. It explores how this trend is contributing to inequality and limiting opportunities for young athletes.

AMD's powerful 96-core CPU, designed for industrial and automotive applications, is paired with a unique 2,000W direct-die cooling setup that allows it to run at 5.3GHz while consuming 1,300W and staying cooler than a typical gaming PC.

The article discusses the performance of Intel's Panther Lake architecture when running on Linux, highlighting its power efficiency and improved performance compared to previous generations. It provides a detailed analysis of the power characteristics and real-world usage scenarios of the Panther Lake platform.

The article explores the concept of quantum twins, which are pairs of entangled qubits that exhibit correlated behaviors even when physically separated. It discusses the potential applications of quantum twins in quantum computing, quantum cryptography, and the study of fundamental physics.

This article explores the use of shell emojis, demonstrating how they can be incorporated into command-line interfaces to add visual flair and express emotions, while discussing the challenges and best practices for their implementation.

CLELP.AI is an AI-based platform that offers language learning and content generation services. The platform uses state-of-the-art natural language processing and machine learning techniques to provide personalized learning experiences and assist users in creating high-quality content.

The article introduces virtualization support to Ironclad, a security-focused operating system. It discusses the implementation of virtualization features, which allow users to run virtual machines within the Ironclad environment, enhancing its capabilities and flexibility.

The article explores the concept of 'zero-day' vulnerabilities, which are software flaws that are unknown to the vendor and can be exploited by attackers before a patch is available. It discusses the challenges in discovering and mitigating these vulnerabilities, and the implications for cybersecurity.

The article discusses the concept of 'agentic NetOps' as a strategy for network operations teams to effectively manage cloud environments. It explores how network teams can leverage automation, data-driven insights, and collaborative approaches to overcome the challenges posed by the complexity and scale of cloud infrastructure.

7:38 PMHey HN, I'm a solo founder who built GreenOnion (https://greenonion.ai) - an AI tool that generates Amazon A+ Content and listing images from a product photo in 30 seconds. The problem: Amazon/Etsy sellers need professional product images, but hiring designers costs $100-500 per product, DIY takes 3-5 hours, and they have 50-200 products in their catalogs. What's different: Most AI tools need detailed prompts and give inconsistent results. I found the "fine line" where AI reliably produces production-ready outputs (95%+ usable) while still feeling authentic to the brand. Technically it's layered prompts across models, but the real work was finding constraints that keep outputs both creative AND reliable. Current state:

Launched a month ago after repositioning to focus specifically on ecommerce 9 paying customers (first one bought highest tier immediately) One said she "wanted to cry" because she'd been struggling with this for months Outputs good enough that I use them on my own site

What I'm struggling with:

Pricing: $149 for ~33 A+ Content pieces feels too cheap for a $3K problem The tech is "just prompts" - how do you build defensibility with API-based models? Stay focused on ecommerce or expand to other use cases?

Would love feedback, especially from solo founders on pricing and AI builders on moats. Examples (all one-shot, no editing): https://greenonion.ai/use-cases/amazon-bulk-listing-images

Thanks for reading!

This article satirizes the tech industry's obsession with novelty and hype, highlighting the mundane and unimpressive nature of many new technologies while encouraging a more practical and grounded approach to innovation.

The article examines the role of the media in influencing economic beliefs and perceptions, and how this can have significant implications for policy decisions and public attitudes towards economic issues.

The article discusses JetBrains' plans to make Wayland the default display server in their products starting from 2026.1 EAP, providing users with a more modern and robust desktop experience.

The article examines President Xi Jinping's ongoing purge of the Chinese military, which has resulted in the downfall of numerous high-ranking officers. This campaign is seen as a means for Xi to consolidate power and eliminate potential rivals within the armed forces.

Apple is scaling back its plans for a new AI-based health coaching service, according to people familiar with the matter. The company has faced challenges in developing the technology and securing necessary partnerships, leading it to reduce the scope of the project.

null0 stores your personal context, and the goal is to have it inject relevant context automatically into Claude, Codex, Gemini, or even OpenClaw. I built null0 because I got tired of re-explaining myself to every AI session. My preferences, my tech stack, how I think, how I write -- gone every time the context window resets.

The goal is to create an actual AI clone that predicts your intent. Imagine a future where you open your laptop and your AI Jarvis already knows what you will likely want to do based on all of the context it has.

This could act as a central data provider once users’ have used it enough, enabling hyper-personalized experiences based on your custom persona and individualistic traits. I have a big vision for this.

It's similar to OpenClaw in the sense that it's simply using your Codex, Claude Code, or Gemini API key / accounts, meaning there is no additional cost. If using Gemini, I use Cognee for the vector search. I am trying to stay away from RAG and instead switch to document header encoding.

The article discusses the author's experience of hiring five people to sit behind him in order to appear more productive and successful, highlighting the potential downsides of such a strategy and the importance of authentic accomplishments.

The article discusses the importance of the discovery phase in software development, highlighting its role in understanding user needs, identifying technical constraints, and setting the foundation for successful project delivery. It emphasizes the value of thorough research, stakeholder interviews, and prototyping to ensure the final product aligns with the intended goals.

The article proposes a method for generating high-quality images from text descriptions using a novel neural network architecture. The approach combines text encoding, image generation, and adversarial training to produce visually compelling results across a variety of datasets and applications.

Scientists in Colorado are playing a crucial role in preparing for the Artemis II mission, the next step in NASA's Artemis program to return humans to the Moon. Their work involves testing critical systems and technologies that will be used during the crewed lunar mission.