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Poison, redzones and shadows: inside KASAN

Python 3.14 compiled to metal – no interpreter

Show HN: orzma – a terminal emulator that renders webviews inside the terminal I made this because I thought it would be useful to be able to use a webview in the terminal. I also provide an SDK called ratatui_orzma. For example, I think it could be used to render rich UI components such as charts with a webview as part of a TUI application, port web tools to ratatui, or embed games built with Wasm inside the terminal.

Show HN: An interactive, interlinked city exploration project (St. Louis) I moved to St. Louis a few years ago, and I started documenting the food I&#x27;ve tried, neighborhoods I&#x27;ve explored, and just the random stuff I&#x27;ve learned in a website.<p>It has a few features:<p>Food map[1]: a map where you can filter restaurants&#x2F;cafes by type of cuisine, neighborhood, or rating, and sort by rating or alphabetical.<p>Neighborhood map[2]: a map of all the neighborhoods and parks in the city, and some notable St. Louis county suburbs.<p>I tried to make it interlinked and fun to explore, so you can land on the page for Sultan (restaurant) which leads you to The Grove (neighborhood), which could lead you back to Grace Meat &amp; Three (nearby restaurant), or over to Midtown (nearby neighborhood), etc.<p>Built with Astro, hosted on Github[3], self-hosted map tiles.<p>[1]: <a href="https:&#x2F;&#x2F;stlouing.com&#x2F;food&#x2F;" rel="nofollow">https:&#x2F;&#x2F;stlouing.com&#x2F;food&#x2F;</a><p>[2]: <a href="https:&#x2F;&#x2F;stlouing.com&#x2F;neighborhoods&#x2F;" rel="nofollow">https:&#x2F;&#x2F;stlouing.com&#x2F;neighborhoods&#x2F;</a><p>[3]: <a href="https:&#x2F;&#x2F;github.com&#x2F;stlouing&#x2F;stlouing.com" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;stlouing&#x2F;stlouing.com</a>

Show HN: Focal Harvest – CLI research pipeline to search, scrape and notify

OfficeCLI: Office suite for AI agents to read and edit Microsoft Office files

Show HN: Pulpie – Models for Cleaning the Web Hey HN, I&#x27;m Shreyash, founder of Feyn. We built Pulpie, a family of Pareto optimal models for cleaning the web. Pulpie strips boilerplate (ads, footers, sidebars) from raw HTML and returns just the main content as HTML or Markdown.<p>We match SOTA extraction quality while being 20x cheaper. Cleaning 1 billion webpages costs $7,900 with Pulpie versus $159,000 with Dripper, the current leading extractor.<p>The gains come from architecture. Today&#x27;s leading extractors are decoders that generate output one token at a time. Each step reads the full model from memory to produce a single token. Conversely, Pulpie models are encoders. They run one forward pass over the full input HTML and label each block as boilerplate or content. As a result, Pulpie is compute-bound while decoders are memory-bound. Cheaper GPUs have relatively more compute than memory bandwidth. This makes Pulpie easy to run optimally.<p>Here&#x27;s Pulpie and Dripper cleaning the same pages side by side: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=ibd-tIiQECo" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=ibd-tIiQECo</a>. You can try a side-by-side comparison yourself: <a href="https:&#x2F;&#x2F;huggingface.co&#x2F;spaces&#x2F;feyninc&#x2F;pulpie" rel="nofollow">https:&#x2F;&#x2F;huggingface.co&#x2F;spaces&#x2F;feyninc&#x2F;pulpie</a><p>Our motivation for Pulpie came from building a deep research harness. Every search API returns noisy content that contains ads, nav elements, and sidebars. In one instance, an ad for &quot;Gemini on Pixel&quot; slipped into our search results, got passed into LLM context, and ended up in the final answer served to the user. Pretty embarrassing moment for us but it helped us realize how bad data kills model intelligence. We built Pulpie to get clean data for cheap.<p>All models are open source on Hugging Face. You can read about our training process and how to use Pulpie here: <a href="https:&#x2F;&#x2F;usefeyn.com&#x2F;blog&#x2F;pulpie-pareto-optimal-models-for-cleaning-the-web&#x2F;#get-started">https:&#x2F;&#x2F;usefeyn.com&#x2F;blog&#x2F;pulpie-pareto-optimal-models-for-cl...</a><p>Happy to answer any questions!

CS2 Fog Of War: Server-sided anti-wallhack occlusion culling for CS2 servers

Show HN: Nectar, a Rust-like React that compiles to WebAssembly After a pretty rough gig experience, I wanted to remind myself that I was a vaguely capable developer. I had recently jumped on the Rust train and wanted a Rust equivalent of React that is more performant and easier to work with. I also wondered if I could effectively eject Javascript. This project came from that... Nectar is a programming language that compiles your entire app, logic, state, and rendering, to WebAssembly. JavaScript is reduced to a roughly 10 KB syscall layer that only bridges WASM to the DOM.<p>The origin: I set out to get React-style ergonomics with better performance, and about halfway in I realized I had hit the ceiling of what was possible going through the browser&#x27;s DOM (Blink&#x2F;C++) and a diffing step. So I stopped fighting it and built my own signal-driven rendering layer that compiles to WASM and updates exactly the DOM nodes that changed, in O(1), with no virtual DOM and no garbage collector.<p>What it is right now:<p>- One binary. The same compiler does formatting, linting, testing, a dev server, an LSP, and SSR (although SSR is underdeveloped). - Fine-grained signals. Each binding updates on its own, so there is no diffing pass. - A Rust-inspired borrow checker for compile-time safety. - Language-level keywords for the patterns you reach for constantly on the web: component, store, router, form, auth, payment. - SEO and Screen Readers. It compiles to two DOMs from the same source so the app stays visible to screen readers and crawlers.<p>Honest status, because this is early and it is mostly one person:<p>- The &quot;no JavaScript&quot; line has an asterisk. WASM cannot touch the DOM directly, so there is a small JS bridge (about 10 KB) that as of this moment I cannot overcome on major browsers. - The numbers on the site (a counter is ~10 KB versus ~387 KB for React plus JS) are real but small examples, not a full-app shootout. I would not read them as more than they are. They are intentionally poorly architected to measure throughput at massive scales. (contrived) - License is BSL 1.1, so read that before you build anything real on it.<p>Live demo, 10,000 products with a canvas rendering engine, plus a side by side against Svelte 5: <a href="https:&#x2F;&#x2F;buildnectar.com&#x2F;app&#x2F;canvas" rel="nofollow">https:&#x2F;&#x2F;buildnectar.com&#x2F;app&#x2F;canvas</a><p>Site: <a href="https:&#x2F;&#x2F;buildnectar.com" rel="nofollow">https:&#x2F;&#x2F;buildnectar.com</a> Code: <a href="https:&#x2F;&#x2F;github.com&#x2F;HibiscusConsulting&#x2F;nectar-lang" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;HibiscusConsulting&#x2F;nectar-lang</a><p>I would genuinely like it torn apart. If the core bet is wrong, crush my dreams but tell me how we can make it better, please. I still am not completely sure this is even a good idea. I honestly thought this would be a lot easier to build than it has been. If I had known at the start, I would have never built it, but here we are.

Show HN: Agent Draw: An agent draws while you talk, built on TLDraw We recently built 2draw, a Drawful-style game where players draw on a shared canvas and race to guess each other&#x27;s drawings, on tldraw, an infinite-canvas SDK for React.<p>We started wondering what it would take to put an agent in that loop, as an opponent or a rival guesser, and dug into how an agent could read and draw on a tldraw canvas. That research turned into:<p>Agent draw, a tool that lets an agent draw to the canvas for you while you present.<p>You can try it right now, or grab the source:<p>- Live demo: <a href="https:&#x2F;&#x2F;tldraw-agent-draw-demo.james-664.workers.dev" rel="nofollow">https:&#x2F;&#x2F;tldraw-agent-draw-demo.james-664.workers.dev</a><p>- Source: <a href="https:&#x2F;&#x2F;github.com&#x2F;ritza-co&#x2F;tldraw-agent-draw-demo" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;ritza-co&#x2F;tldraw-agent-draw-demo</a><p>Here you can see the agent assisting me in my demo presentation of a third grade chemistry class:<p>- <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=iIH2hJAxxm8" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=iIH2hJAxxm8</a>

Harman and Dr. Sean Olive are reshaping headphone sound (2025)

DOJ Closing Abbott Labs Case Spurs Wider Corporate Crime Retreat

I Built a Telegram Client for Pi

Show HN: Belgie – Run TypeScript from Python in an Embedded Deno Sandbox Hi HN! I built Belgie, a Python library that embeds Deno, allowing Python applications to run JavaScript and TypeScript without requiring Node.js or Deno to be installed on the host system. It supports the features you’d expect from Deno (npm, JSR, and URL imports, isolated package environments, etc.), plus:<p>- Pass JSON-safe values seamlessly between Python and JavaScript.<p>- Agentic code generation with typed interfaces, similar to Pydantic’s Monty.<p>- Manage dependencies programmatically or from the CLI.

Show HN: A strategy game about the AI race where you can't verify alignment I made a strategy game where you play the US or China through the AI race, 2026 to 2030, sixteen quarterly turns in the browser. One run takes about half an hour.<p>At the start, the game seals two dice you never get to see. Inside: how hard alignment really is, and how fast takeoff compounds. You get eval reports, but only as ranges, and they flatter you most exactly when your systems are least aligned. At the end you get a debrief which shows what your evals said each quarter and also what was actually true. I lost every run I played myself so far.<p>Every number in the game is source-backed or a labeled design choice. Some of them are wrong somewhere. There is an issue template for challenging a number with a better source, and the better source wins.<p>No accounts, no tracking, no server, works offline after first load. AGPL, nonprofit. Cards and parameters are plain JSON. Contribution is possible without writing code. Would like to have your thoughts if it is fun to play, how you like it and what you would improve. Any feedback is welcome and most importantly, if we got something badly wrong.<p>Code: <a href="https:&#x2F;&#x2F;github.com&#x2F;chipmates&#x2F;criticalwindow" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;chipmates&#x2F;criticalwindow</a>

Show HN: Python running on the Super Nintendo (in-browser demo) MicroPython (lexer, compiler and VM) on the SNES: 3.58 MHz 65816, 56 KB Python heap, 16-bit int. The REPL runs right inside the post via EmulatorJS and also works on real hardware via flashcart.<p>I did this as a benchmark for Claude Fable. When the export ban hit, switching to Opus got the project stuck for three weeks; Fable came back and found the real bug in ninety minutes.<p>Along the way: 23 compiler bugs and 4 MicroPython bugs, each root-caused with a minimal reproducer and filed upstream.<p>If you run it on real hardware, I want a picture!

Why low-latency Java still requires discipline?

US home battery installations hit record high on rising electricity costs

Lost city discovered beneath Egypt's desert with ancient church

Give Claude the ability to watch any video. /watch downloads, extracts frames, transcribes, hands it all to Claude.