BlogViral

Show HN: Metiq: a real time 3D globe for 100 public datasets The concept for metiq.space came after playing Global Magnates with friends and realizing how fragmented live global data is. ships, aircraft, satellites, ports, weather, hazards, infrastructure, cyber, and public datasets all exist, but they usually live in separate tools and maps. The goal was to build one interactive 3D globe where live public data could be visualized by latitude, longitude, and altitude. Surface data stays on the globe, while aircraft, satellites, and other above surface things can be represented in actual 3D space instead of being flattened onto a map. The outcome is an interactive globe that showcases Earth, air, sea, space, cyber, defense, infrastructure, politics, and the list is continuously growing. Majority of development right now is going into data filtering and deduping. https://metiq.space June 16, 2026 at 09:43PM

Show HN: Run Agent Skills with mistral.rs v0.8.10: /v1/skills support and more Hey all! I'm the maintainer of mistral.rs. I just landed support for OpenAI-compatible Agent Skills via a /v1/skills endpoint, and it works with local open models. Until now Skills have basically been locked to closed models, and with the ability to have private, local intelligence becoming increasingly important, but this feature allows you to do XYZ with local models. It's fully compatible with OpenAI's /v1/skills API, so you can drop mistral.rs into your existing code with minimal difficulty. We support the accompanying tools too: /v1/files or input_file for attaching files to your prompts, and mistral.rs also allows models to send generated files back using the OpenAI-compatible method. It's also easier than ever to try mistral.rs: we are including prebuilt binaries for NVIDIA CUDA, Apple Silicon, and CPU! # Linux/Mac > curl --proto '=https' --tlsv1.2 -sSf https://ift.tt/tgmd...

Show HN: NGB, an open-source .NET platform for document-driven business apps https://ift.tt/38UeX5p June 19, 2026 at 12:50AM

Show HN: SunCalc v2 – a tiny JavaScript library for sun and moon calculations SunCalc is one of my first open source projects — made the first commit 15 years ago and it had its share of wonderful uses ever since, but it's been somewhat neglected in recent years. Now that modern AI tools give me the ability to catch up on years of accumulated tech debt and user issues, I finally have the capacity to revive projects like this and keep them in excellent shape. v2 is a new version that improves the calculations accuracy by 5x for the Sun and by 20x for the Moon, verified by an extensive test harness vs ground truth from US Naval Observatory, in addition to fixing a ton of issues and modernizing the distribution with ESM. Hope you enjoy it. https://ift.tt/9fJbHSs June 18, 2026 at 09:47PM

Show HN: Relaymux, a tmux-based meta-harness for local coding agents Hey HN, There’s been a lot of interest recently in meta-harnesses, loops, and multi-agent orchestration. Obviously, there are already a lot of good tools: Conductor, cmux, the native Codex / Claude Code apps, etc. For my own use cases, I’ve felt that the orchestration layer tends to feel overengineered. I mostly wanted a simple local harness (i.e Pi) for running and tracking CLI agents with the ability to hop in (via tmux). Relaymux is my opinionated attempt at that. A few design principles: - The frontend is just Telegram / iMessage / CLI. If I want more visibility, I hop into tmux. - Subagents are normal interactive CLI agents running in tmux windows, usually with their own worktrees. - The harness owns the tmux session, so each longer task becomes a named tab/window. Subagents report back to the orchestrator via CLI when they’re blocked or done. Then the orchestrator just messages me on Telegram / iMessage - It wor...

Show HN: Deconvolution – a Rust image deconvolution and restoration crate I've been working on deconvolution, a comprehensive Rust image deconvolution and restoration library. Deconvolution implements 28 different image deconvolution/restoration methods which range from practical blur removal techniques to research-grade scientific imaging algorithms. Features: - Top-level functions use image::DynamicImage and return images - Inverse filters, Wiener, Richardson-Lucy, constrained, proximal, Krylov, MLE restoration - Blind Richardson-Lucy, blind maximum likelihood, parametric PSF estimation - Kernel2D, Kernel3D, Transfer2D, Transfer3D, Blur2D/Blur3D - Gaussian, motion, defocus, microscopy models, support utilities, PSF/OTF conversion - Edge tapering, apodization, range normalization, NSR estimation - Deterministic blur, noise, synthetic fixture generation - ndarray support for 2D image arrays and 3D volume this project is a WIP, of course:) https://ift.tt/3XviztL June 15, 2026 at 07:...