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I’m exploring a macroeconomic model where time is treated as a primary unit of value rather than a secondary pricing variable.

At a high level, the idea is to index value issuance and economic contribution directly to time, with fixed temporal constraints, rather than to output, price, or currency supply.

For those who have worked on economic modeling, mechanism design, or simulation frameworks: what would be the most reasonable way to formalize such a model, and what pitfalls would you expect early on?

Hi HN,

I’m building Snipscribe, a desktop application (beta - demo version) for people who still prefer thinking on paper but want the benefits of digital organization.

The idea is simple: You take a photo of your handwritten notes, split them into small snippets, and tag them so you can retrieve them later by topic instead of scrolling through folders of images.

I've found pen and paper to be the most intuitive, distraction-free way to capture ideas, but the hardest part is finding them again and organizing for easy access. Snipscribe focuses on solving just that problem—without trying to replace your notebook.

What it does:

1. Capture photos of handwritten notes 2. Break them into small, focused snippets using a notation in your notes 3. Tag snippets for quick retrieval later

This is still early, and I’m especially interested in feedback from:

- People who regularly use notebooks or index cards - Developers, designers, or students who mix analog + digital workflows - Anyone who’s tried (and bounced off) digital note apps

Website: https://snipscribe.com

Happy to answer questions, and I’d really appreciate any candid feedback. Please let me know what feels useful, what’s missing, or what you’d simplify.

Thanks for reading :)

The article discusses the development of a novel approach to social network analysis, combining techniques from graph theory and machine learning to identify influential individuals within a network. It presents a case study applying this methodology to a dataset of scientific collaborations, demonstrating its potential for practical applications in various domains.

Google docs does not support vim motions natively, so I built an extension for it. It works by capturing your vim motion keystrokes and then mapping them to actual navigation keystroke.

Example: Pressing `w` by users sends Ctrl+Right leading to moving cursor one word to right.

Because of the way it works there are only limited vim motions that are supported. But it was enough in my experience for a seamless workflow. See here for available motions: https://github.com/tirthd16/dockeys?tab=readme-ov-file#avail...

Chrome Web Store: https://chromewebstore.google.com/detail/docskeys/mmmomengbi...

Firefox Add-On: https://addons.mozilla.org/en-US/firefox/addon/docskeys/

This article discusses the development of a real-time railway safety system using a low-cost microcontroller chip. The system aims to improve safety by monitoring train operations and providing early warning signals to prevent accidents.

The article explores the use of blockchain technology in the healthcare industry, with a focus on its potential to improve data management, patient privacy, and medical supply chain traceability. It highlights the challenges and opportunities associated with implementing blockchain-based solutions in the healthcare sector.

A malicious domain impersonating the Microsoft Activation Server (MAS) is being used to distribute PowerShell-based malware. The malware aims to steal sensitive information and provide remote access to attackers.

Hi HN folks, I’m building BrandRetina (brandretina.ai), an API-first service to catch high-fidelity spear-phishing that looks like your real internal portals..

Most scanners are great at "bad code" (malware/reputation), but lots of modern phishing is just a clean site that visually impersonates Okta/SSO/Workday/customer portals. SOC teams often end up doing the manual step: open urlscan screenshot -> eyeball it -> decide.

What BrandRetina does:

- You onboard a "Golden Registry" (verified screenshots of your real portals) - When a suspicious link comes in, your SOAR detonates it (e.g., urlscan.io) and gets a screenshot UUID - BrandRetina compares the screenshot against the Golden Registry (visual embeddings / similarity) and returns:

1) verdict (CLEAN/SUSPICIOUS/MALICIOUS) 2) similarity score 3) target portal + evidence flags (logo/layout/color/form signals)

Why it’s useful:

- Flags lookalikes even when the HTML/code is completely different - Removes the repetitive screenshot-review step - Fits existing workflows (SOAR/SIEM) instead of replacing them

I'd love feedback from SOC/IR/SecOps folks:

- Are screenshot-based verdicts something you’d trust in an automated playbook? - What evidence signals would make this actionable for you? - What sources besides urlscan would you want supported?

Docs: https://brandretina.ai/docs API base: https://api.brandretina.ai

I’ve tried multiple agent frameworks. Some perform well in specific areas, but none worked end-to-end. I also experimented with building an image-generation site and tried frameworks like CrewAI, but Agno is the one I actually like and prefer working with.

The article explores the physics behind the remarkable feats of ice skaters, highlighting how they defy gravity and propel themselves forward with incredible speed and agility through the application of Newton's laws of motion and the unique properties of ice.

China has deployed advanced humanoid robots, known as 'Walker S2', along its border with Vietnam. These robots are capable of patrolling and monitoring the border area, showcasing China's advancements in robotics and border surveillance technology.

The article discusses the launch of AIToolTracker, a website that provides a comprehensive database of AI tools and resources, helping users discover and evaluate various AI-powered applications and services.

The article discusses a meeting of the Genodians community, where the development and future of the Seed7 programming language were discussed. It highlights the key topics covered, including ongoing work, future plans, and community involvement.

The article discusses JugglUCO, an open-source continuous glucose monitor (CGM) for people with diabetes. It highlights the project's goal of providing an affordable and accessible CGM alternative to commercial options, empowering individuals to better manage their condition.

The article discusses the ethical and philosophical implications of the possibility of artificial intelligence (AI) becoming conscious. It explores the need to understand and address the potential rights and responsibilities of conscious AI systems in the future.

The article profiles Catherine Wood, the founder and CEO of Ark Invest, a prominent investment management firm that focuses on disruptive innovation. It highlights Wood's unconventional investment strategies, her success in identifying emerging technologies, and her influence in the investment community.

This article describes the historical significance of the Emancipation Proclamation, a pivotal executive order issued by President Abraham Lincoln during the American Civil War that declared all enslaved people in Confederate-held territories to be free.

TurboDiffusion is a powerful open-source text-to-image diffusion model that can generate high-quality, diverse images from text prompts. It is built on top of the popular Stable Diffusion model and introduces several key innovations to improve performance and generate more detailed and coherent images.

This article presents a deep learning-based approach for WiFi-based dense pose estimation, which enables accurate and robust human pose tracking using only wireless signals. The proposed method leverages the unique propagation properties of wireless signals to capture detailed body shape and pose information, making it a promising technology for various applications, including human-computer interaction and activity monitoring.

This article discusses the importance of implementing a safety net for AI language models like Claude, which can help prevent unintended behaviors or outputs. It highlights key considerations, such as model oversight, prompt engineering, and the need for comprehensive testing and monitoring.

The article discusses the launch of Sovyr, an online platform that offers personalized learning experiences for students. It highlights Sovyr's focus on adaptive technology and tailored content to help students achieve their educational goals.

Hello HN,

I created a simple website which lets children (of all ages) sketch something and then animate it using AI. It's a small hobby project because I wanted to see what all the hype is about.

No account required (but because the sketch app allows image uploads and we all know we can't have nice things on the Internet, I will be moderating the submissions before showing them on the front page).

Stack: Excalidraw, Django, Postgres, Redis for caching, ComfyUI for the image to video workflow (Wan 2.2 14B I2V).

Let me know what you think. Merry Christmas!