🛠️ All DevTools

[Other] Migrating the main Zig repository from GitHub to Codeberg

[Other] Bonsai_term: A library for building dynamic terminal apps by Jane Street

[Other] C100 Developer Terminal

[DevOps] Show HN: Wozz – Agentless Kubernetes cost auditor (open source)

[IDE/Editor] Show HN: Zephyr3D – TypeScript WebGPU/WebGL 3D engine with an in‑browser editor Hi HN,<p>I’ve been working on Zephyr3D, an open-source 3D rendering engine for the modern web, plus a visual editor that runs entirely in the browser.<p>- Written in TypeScript - Supports WebGL&#x2F;WebGL2&#x2F;WebGPU - Comes with a visual editor that runs in the browser (no installation required)<p>With the recent updates, a few things might be interesting to people here:<p>Engine &amp; rendering ------------------<p>- WebGL&#x2F;WebGPU abstraction with a TypeScript API - PBR rendering - Cluster lighting &amp; Shadow Maps - Clipmap-based terrain for large landscapes - Sky Atmosphere &amp; Height-based fog - FFT water system - Temporal anti-aliasing (TAA) - Screen-space motion blur<p>The goal is to make it possible to build reasonably complex 3D experiences that run directly in the browser, without native dependencies.<p>In-browser editor -----------------<p>The editor is a web app built on top of the engine and runs completely in the browser. It currently supports:<p>- Project management - Scene editing - Node-based material blueprints - Animation editing - Script binding and a scheduling system - Prefabs for reusing entities across scenes - Preview and one-click publishing to the web<p>All project data is handled via a virtual file system (VFS) that can plug into different backends (in-memory, IndexedDB, HTTP, ZIP, DataTransfer, etc.), so saving&#x2F;loading works entirely on the client side.<p>Links -----<p>Homepage: <a href="https:&#x2F;&#x2F;zephyr3d.org" rel="nofollow">https:&#x2F;&#x2F;zephyr3d.org</a> Editor (runs in the browser): <a href="https:&#x2F;&#x2F;zephyr3d.org&#x2F;editor&#x2F;" rel="nofollow">https:&#x2F;&#x2F;zephyr3d.org&#x2F;editor&#x2F;</a> GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;gavinyork&#x2F;zephyr3d" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;gavinyork&#x2F;zephyr3d</a><p>I&#x27;d love feedback on:<p>- How the in-browser editor workflow feels (performance, UX, what’s missing) - Whether the VFS approach for project data makes sense for real projects - Any red flags you see in the engine architecture or WebGPU&#x2F;WebGL abstraction - What would be deal-breakers or must-have features for using this in games, data viz, or other interactive web experiences<p>I’ll be around to answer questions and can go into more detail about the rendering pipeline, the editor internals, or anything else you’re curious about.

[API/SDK] Qiskit open-source SDK for working with quantum computers

[DevOps] Custom LLMs, without training. Use via openai compatible api We provide an OpenAI-compatible orchestration layer that lets teams compose their own “virtual models” on top of any LLM - combining prompts, reasoning, review, and guardrails, and use them everywhere from your IDE to your backend. Key features 🔌 One OpenAI-compatible API for many LLMs 🧱 Custom models you name & reuse 🧠 Reasoning mode on demand ✅ Built-in review mode 🛡️ Guardrails & PII masking 🧑‍💻 IDE & CLI integrations 📊 Analytics & cost controls

[API/SDK] Extract Structured Data from Any Document Transform documents into markdown or structured data with AI-powered OCR. PDF to JSON, Invoice Parsing API, and Handwriting Recognition for developers at cheapest price.

[Other] Show HN: A WordPress plugin that rewrites image URLs for near-zero-cost delivery Hi HN,<p>I built a WordPress plugin called Bandwidth Saver. It takes the images your site already has and serves them through Cloudflare R2 and Workers, which means zero egress fees and extremely low storage cost. The goal is to make image delivery fast and cheap without adding any of the complexity of traditional optimization plugins.<p>The idea is simple. WordPress keeps generating images normally. The plugin rewrites the URLs on the frontend so images are served from a Cloudflare Worker. On the first request, the Worker fetches the original image and stores it in R2. After that, Cloudflare’s edge serves the image from its global cache with no egress charges. There’s no need to preload or sync anything, and if something fails, the original image loads. That’s the entire system.<p>I built this because most image CDN plugins try to do everything: compression, resizing, AI transforms, asset management, custom dashboards, and monthly fees. That’s useful for some users, but it’s unnecessary for most sites that just want their existing media to load faster without breaking the bank. Bandwidth Saver focuses only on delivery, not transformations. It’s intentionally minimal.<p>There are two ways to use it. The plugin is completely free if you want to run your own Cloudflare Worker. I included the Worker code and the steps needed to deploy it. If you don’t want to deal with any Cloudflare setup, there’s a managed option for $2.99 per month that uses my Worker and my R2 bucket. I’m trying to keep it accessible while also covering operational costs.<p>The plugin works with any theme or builder and doesn’t modify the database. It only rewrites URLs on output. WordPress remains the system of record for all media. R2 simply becomes a cheap, durable cache layer backed by Cloudflare’s edge.<p>I’m especially interested in feedback about the approach. Does the fetch-on-first-request model make sense? Is the pricing fair for a plugin of this scope? Should I prioritize allowing users to connect their own R2 buckets or the managed service? And for those with experience in edge compute or CDNs, I would love thoughts on how to improve the Worker or the rewrite strategy.<p>Thanks for reading, happy to answer any questions.

[CLI Tool] Show HN: Parm – Install GitHub releases just like your favorite package manager Hi all, I built a CLI tool that allows you to seamlessly install software from GitHub release assets, similar to how your system&#x27;s package manager installs software.<p>It works by exploiting common patterns among GitHub releases across different open-source software such as naming conventions and file layouts to fetch proper release assets for your system and then downloading the proper asset onto your machine via the GitHub API. Parm will then extract the files, find the proper binaries, and then add them to your PATH. Parm can also check for updates and uninstall software, and otherwise manages the entire lifecycle of all software installed by Parm.<p>Parm is not meant to replace your system&#x27;s package manager. It is instead meant as an alternative method to install prebuilt software off of GitHub in a more centralized and simpler way.<p>It&#x27;s currently in a pre-release stage, and there&#x27;s a lot of features I want to add. I&#x27;m currently working (very slowly) on some new features, so if this sounds interesting to you, check it out! It&#x27;s completely free and open-source and is currently released for Linux&#x2F;macOS. I would appreciate any feedback.<p>Link: <a href="https:&#x2F;&#x2F;github.com&#x2F;yhoundz&#x2F;parm" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;yhoundz&#x2F;parm</a>

[Other] Reinventing how .NET builds and ships (again)

[Other] Show HN: MCP Security Scanning Tool for CI/CD

[DevOps] Show HN: Superglue – OSS integration tool that understands your legacy systems If you&#x27;ve ever worked in a large company, you&#x27;ve probably encountered &quot;shadow infrastructure&quot;: scripts nobody understands or custom connectors written once and never touched again. This glue layer isn&#x27;t documented, isn&#x27;t owned by anyone, and tends to break when systems are upgraded or someone leaves. It&#x27;s also the part everybody dreads working on, because it&#x27;s hard to understand, painful to work with, and full of unknown unknowns.<p>We built superglue so that engineers stop wasting time on deciphering legacy APIs and documentation.<p>superglue ingests existing glue code, SQL, configs, docs, OpenAPI specs and reverse-engineers what the system is actually doing. It then maps dependencies and regenerates everything as clean javascript code that can run directly or be exposed via MCP or SDK. It also monitors API changes and schema drift, and automatically repairs integrations when upstream systems change.<p>In short: It turns legacy integrations into code you can easily understand, test, and update. So that engineers can do more exciting feature work, and companies can migrate and upgrade systems faster.<p>Think of it as: a context engine + code generator + integration runtime for legacy glue.<p>What we&#x27;d love feedback on<p>- How do you deal with &quot;nobody knows what this script does&quot; situations?<p>- What would you want to know about your legacy systems?<p>OSS&#x2F;community version: <a href="https:&#x2F;&#x2F;github.com&#x2F;superglue-ai&#x2F;superglue" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;superglue-ai&#x2F;superglue</a><p>More info: <a href="https:&#x2F;&#x2F;superglue.ai">https:&#x2F;&#x2F;superglue.ai</a><p>Happy to go deeper on the technical details.

[Other] Show HN: Sparse Matrix-Vector Multiplication that works at 30–90% sparsity To get benefits from sparsity, you usually need to have very sparse matrices, impose some structure on the sparsity pattern or have specialized hardware. None of it is the case if you want to rune pruned LLMs on consumer devices. I wanted to see how far can you push it on a GPU and ended up with this. Blog: <a href="https:&#x2F;&#x2F;www.grizzlytech.dev&#x2F;blog&#x2F;macko-spmv" rel="nofollow">https:&#x2F;&#x2F;www.grizzlytech.dev&#x2F;blog&#x2F;macko-spmv</a> Paper: <a href="https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2511.13061" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2511.13061</a> Code (example with torch): <a href="https:&#x2F;&#x2F;github.com&#x2F;vlejd&#x2F;macko_spmv" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;vlejd&#x2F;macko_spmv</a>

[DevOps] Show HN: Deft-Intruder – Real-time malware detection daemon for Linux I built an open-source malware detection daemon that monitors all running processes in real-time using ML + heuristics. No kernel modules or eBPF required.<p>Key points:<p>- Polls &#x2F;proc for new processes (works on any Linux kernel 2.6+)<p>- Random Forest model trained on EMBER 2018 dataset (2.3M samples)<p>- Heuristic rules for crypto miners, ransomware, rootkits<p>- ~20MB RAM, &lt;1% CPU, sub-millisecond scan latency<p>- Pure C, zero runtime dependencies<p>- Model embedded directly in binary (50KB)<p>Why I built this: Existing solutions either require modern kernels (eBPF) or are heavy&#x2F;proprietary. I wanted something lightweight that works everywhere - servers, containers, old distros.<p>Detection approach: Extract features from executables (entropy, imports, sections), run ML prediction, apply heuristic rules, combine scores. If above threshold, kill the process.<p>Happy to discuss implementation details or Linux security in general.

[Other] Bounties for github issues Create bounties on GitHub issues and reward contributors through PayPal or crypto. Powered by the HitCommit GitHub App.

[Other] Show HN: Axe - A Systems Programming Language with Builtin Parallelism and No GC I&#x27;m writing a compiler for a systems language focused on concurrency and parallelism. It’s a re-engineering of a prior work, with an explicit emphasis on memory management and type safety, plus first-class parallel primitives at the language level.<p>The language is now capable of compiling a substantial portion of its own source code to tokens using a single-pass C back-end. The self-hosted compiler includes a handwritten lexer and a parser, with an arena-based allocator to support fast compilation and eliminate GC complexity.<p>The primary goals for the project are: First-class parallel and concurrent constructs built directly into the language, strong static memory and type guarantees, and a toolchain suitable for building high-performance software<p>Example:<p><pre><code> def main() { parallel local(mut arena: Arena) { arena = Arena.create(1024); val tid = Parallel.thread_id(); val result = worker(ref_of(arena), tid); println $&quot;Thread {tid} computed {result}&quot;; Arena.destroy(ref_of(arena)); } } </code></pre> You can find the repository here: <a href="https:&#x2F;&#x2F;github.com&#x2F;axelang&#x2F;axe" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;axelang&#x2F;axe</a>

[Other] Show HN: I built an interactive map of jobs at top AI companies I built a live interactive map that shows where top AI companies hire around the world. I collected this data for a hackathon project. Many ATS providers have a public API that you can hit with the slug of the companies to get open jobs. The hardest part was finding the companies. I tried Firecrawl but it returned around 200 companies per provider which wasn’t enough for me. Then, I tried SERPAPI but it was expensive. I ended up using SearXNG to discover companies by ATS type and fetch their job postings. This produced a large dataset of 200k+ jobs (I only use a subset as it would have taken too much time processing). A few days ago, I decided to build a visualization of the data as I didn’t know what to do with it and wanted people to benefit.<p>I kept catching myself wanting to ask simple questions like “show only research roles in Europe” or “filter for remote SWE positions” (and had plenty of free ai credits) so I added a small LLM interface that translates natural language into filters on the map.<p>The map is built with Vite + React + Mapbox. Live demo: <a href="https:&#x2F;&#x2F;map.stapply.ai" rel="nofollow">https:&#x2F;&#x2F;map.stapply.ai</a> GitHub (data): <a href="https:&#x2F;&#x2F;github.com&#x2F;stapply-ai&#x2F;jobs" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;stapply-ai&#x2F;jobs</a><p>Would love feedback, ideas for improvement, or contributions.

[Other] Show HN: Explore what the browser exposes about you I built a tool that reveals the data your browser exposes automatically every time you visit a website.<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;neberej&#x2F;exposedbydefault" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;neberej&#x2F;exposedbydefault</a><p>Demo: <a href="https:&#x2F;&#x2F;neberej.github.io&#x2F;exposedbydefault&#x2F;" rel="nofollow">https:&#x2F;&#x2F;neberej.github.io&#x2F;exposedbydefault&#x2F;</a><p>Note: No data is sent anywhere. Everything runs in your browser.

[Other] Cool-retro-term: terminal emulator which mimics look and feel of the old CRTs