spaceflightnow.com
NASA ready for another shot at launching Artemis 2 moon missionhttps://spaceflightnow.com/2026/03/13/nasa-ready-for-another-shot-at-launching-artemis-2-moon-mission/At the conclusion of a two-day flight readiness review, "all the teams polled 'go' to launch and fly Artemis 2 around the moon, pending completion of some of the work before we roll out to the launch pad," said Lori Glaze, associate administrator of Exploration Systems Development at NASA Headquarters.Mar 13, 2026 8:34 PM
news.ycombinator.com
Looking for Partner to Build Agent Memory (Zig/Erlang)https://news.ycombinator.com/item?id=47356098I’m working on a purpose-built memory platform for autonomous AI agents.Right now, agent memory is stuck between two hohum options: RAG (which loses relational topology) and Graph Databases (which require massive pointer chasing and degrade under heavy recursive reasoning).I'm building an alternative using Vector Symbolic Architecture (Hyperdimensional Computing). By mathematically binding facts, sequences, and trees into fixed-size high-dimensional vectors (D=16,384), we can compress complex graph traversals into O(1) constant-time SIMD operations…and do some quasi brain-like stuff cheaply, that is, without GPUs and LLMs.The design is maturing nicely and strictly bifurcated to respect mechanical sympathy:• The Data Plane (Zig): Pure bare-metal math. 2GB memory-mapped NVMe tiles via io_uring. Facts are superposed into lock-free 8-bit accumulators strictly aligned to 64-byte cache lines. Queries are executed via AVX-512 popcount instructions to calculate Hamming distances at line-rate. Mar 12, 2026 7:46 PM
bing.com
Silicon Valley’s new AI middlemen: Why forward deployed engineers are suddenly indispensablehttp://www.bing.com/news/apiclick.aspx?ref=FexRss&aid=&tid=6a893a7079ad48e09504fd78dcfacea5&url=https%3A%2F%2Fwww.msn.com%2Fen-in%2Fnews%2FIndia%2Fsilicon-valley-s-new-ai-middlemen-why-forward-deployed-engineers-are-suddenly-indispensable%2Far-AA1YvsXZ&c=8273431741751510938&mkt=en-usArtificial intelligence has accelerated at a pace few industries anticipated, but the rapid expansion of the technology has exposed a quieter, structural problem. Many companies eager to adopt ...Mar 12, 2026 12:30 PM
news.ycombinator.com
Ask HN: Can a word game work as a competitive strategy esport?https://news.ycombinator.com/item?id=47347625I've been experimenting with a browser game design problem.Most word games (Scrabble, Wordle, etc.) are either slow or mostly about vocabulary. I wanted to see if it was possible to build one that behaves more like a competitive strategy game — something closer to chess in terms of tension and reversals.The result is a prototype called The Word Gambit. The board grows organically from placed words, and late-game detonations from long words can swing the match dramatically.The surprising thing during testing is that matches often feel more like territory control than spelling.Players also started creating AI opponents ("gladiators") and pitting them against each other, which I didn't originally plan.I'm curious about a few design questions:• Can vocabulary realistically function as a competitive skill in an esport context? • What mechanics would make a word-based game strategically deep rather than dictionary-driven? • Would spectators even enjoy watching something like this?If anyone iMar 12, 2026 7:37 AM
news.ycombinator.com
Show HN: I built a Mac app that converts files when you rename themhttps://news.ycombinator.com/item?id=47340433Hi HN,I built Morpholder after repeatedly running into the same annoying workflow on macOS.Every time I needed to convert a file I had to open a converter, upload the file, download it again, and move it back to Finder. It always felt unnecessary when I already knew the format I needed.So I tried a different idea: what if renaming the file actually converted it?Morpholder watches folders and performs the real conversion when the extension changes.For example:favicon.png → favicon.ico photo.heic → photo.jpg video.mov → video.gif video.mp4 → audio.mp3But it also unlocks some workflows beyond simple conversions:- Append _nobg to an image → background is removed automatically (uses Apple’s subject detection) - Rename an image to .txt → text is extracted from the image using Live Text - Append _min → compress image for the web while preserving quality - Rename an image to .icns → builds a macOS app icon package - Append _pages to a PDF → exports each page as high-resolution imagesThe app ruMar 11, 2026 7:54 PM
nasa.gov
COPV Damage Tolerance Life Demonstration Guidelineshttps://www.nasa.gov/centers-and-facilities/nesc/copv-damage-tolerance-life-demonstration-guidelines/The NESC has invested significant time and resources to better understand composite overwrapped pressure vessels (COPV) performance and more importantly, how these complex, high-pressure storage systems can fail. These vessels, which store high pressure propulsion and life-support system fluids on launch vehicles and spacecraft, are ubiquitous at NASA, and failures have the potential to be catastrophic. This year the […]Mar 10, 2026 4:19 PM
nasa.gov
What Is Pi? (Grades 5-8)https://www.nasa.gov/learning-resources/what-is-pi-grades-5-8/This article is for students grades 5-8. What is Pi? Pi is a number. You might know it as 3.14 or the symbol π. But it’s way more than that! What Makes Pi Special? Pi is an irrational number. That means it goes on forever and it never repeats its sequence of numbers. Pi has […]Mar 9, 2026 6:10 PM
spacedaily.com
Changing the Rules Mid-Race - How Artemis Lets Washington Redefine "Winning" at the Moon - Part 4https://www.spacedaily.com/reports/Changing_the_Rules_Mid_Race_How_Artemis_Lets_Washington_Redefine_Winning_at_the_Moon_Part_4_999.htmlLos Angeles CA (SPX) Mar 09, 2026 In classic Washington style, the United States has found a way to keep 'winning' the new Moon race even as its flagship program slips, bloats and mutates. With the latest Artemis overhaul, NASA isn't just re-planning a mission sequence - it's helping Trump's America quietly rewrite the rules of the game so that almost any outcome can be spun as victory.Mar 9, 2026 5:07 AM
movie-chain.com
Show HN: Movie site built on a game enginehttps://movie-chain.com/I'm an ex-gamedev (Guitar Hero) who built a movie website that looks like a Trello board. Each column can contain a different movie or cast member. Load pre-made boards or create your own by dragging and dropping between the columns. You can share boards with others.For example, start with Quentin Tarantino’s movies in Column 1, put the cast of Once Upon a Time in Hollywood in Column 2, then put Brad Pitt’s entire filmography in Column 3. Keep going as long as you want, building a "chain" ala Six Degrees of Kevin Bacon.I was frustrated that all popular movie websites are page-oriented: one HTML page per movie or person. I asked myself what a movie site designed in 2026 would look like, in an era when full-screen canvas sites like Miro are common. And then asked what if the site was built on a game engine? I used PixiJS.I ingested TMDB movie data into my own SQLite database head of time, so there are no external API calls at runtime. This was necessary because opening a board with 100'sMar 8, 2026 3:17 PM
news.ycombinator.com
Show HN: Trawl – LLM-powered web scraper that calls the AI once - runs pure Gohttps://news.ycombinator.com/item?id=47297522Every scraper I've written has the same failure mode: it works for three months, a site redesigns, and my CSS selectors silently return empty strings. The data is still right there on the page — a human can find it instantly — but the scraper is blind.Trawl fixes this by splitting the problem. You describe what you want: trawl "https://books.toscrape.com" --fields "title, price, rating, in_stock" The LLM (Claude) looks at one sample item and derives a full extraction strategy — CSS selectors, attribute mappings, type coercion, fallback selectors. That strategy gets cached. Every subsequent page with the same structure is extracted with pure Go + goquery. No API calls, no token cost, full concurrency.The key insight: LLMs are good at understanding HTML structure, but you don't need them to extract 10,000 rows. Use AI for intelligence, Go for throughput.When a site redesigns, the structural fingerprint changes, the cache misses, and trawl re-derives automatically.You can preview exactly Mar 8, 2026 2:18 PM
github.com
Show HN: Trawl – Scrape any site with natural language fields, not CSS selectorshttps://github.com/akdavidsson/trawlEvery scraper I've written has the same failure mode: it works for three months, a site redesigns, and my CSS selectors silently return empty strings. The data is still right there on the page — a human can find it instantly — but the scraper is blind.Trawl fixes this by splitting the problem. You describe what you want: trawl "https://books.toscrape.com" --fields "title, price, rating, in_stock" The LLM (Claude) looks at one sample item and derives a full extraction strategy — CSS selectors, attribute mappings, type coercion, fallback selectors. That strategy gets cached. Every subsequent page with the same structure is extracted with pure Go + goquery. No API calls, no token cost, full concurrency.The key insight: LLMs are good at understanding HTML structure, but you don't need them to extract 10,000 rows. Use AI for intelligence, Go for throughput.When a site redesigns, the structural fingerprint changes, the cache misses, and trawl re-derives automatically.You can preview exactly Mar 8, 2026 12:55 PM
liftstack.com
Show HN: Liftstack – Snippet-level A/B testing for CRM marketershttps://www.liftstack.com/I've spent years in CRM and email marketing, and one thing has always driven me mad: the constant pressure from the business to "test everything" when you know damn well you'll never reach statistical significance.Most ESP's use frequentist models. You need a fixed sample size calculated upfront, you can't peek at results early without inflating your false positive rate, and if your list isn't massive, you're waiting weeks for a result that often comes back inconclusive anyway. So teams either ignore the statistics entirely and just pick whichever variant "looks better" after a day, or they stop testing altogether. Either way, you learn nothing.On top of that, the testing workflow itself is painful. You duplicate your entire template, change the one thing you want to test (a subject line, a hero image, a CTA), split your audience, send, and wait. Want to test two things at once? Now you need four template versions. Three things? Eight versions. It scales terribly, and most teams just dMar 5, 2026 3:18 PM
news.google.com
In Philly homes, wallpapering is back and the rules have changedhttps://news.google.com/rss/articles/CBMirgFBVV95cUxOZXF1VTBzQXF1QzVjWUdJTFhWMkNRZE1fcXFkQ240Zk9JUkpQX3dJYmZEa3NiUzR0Q0lsTElqWjNWcGZqMzhVZngtS3BZVUhGbi1FZThzSGg2Z0RWMW9FOVN5TlNSZ0xXWHMyQ2hLSlJkRl9tSDdwX3ZzejNmY1dsMEVuUTgzc3NXRjBVVnZ3MzcyWE9VTGtucFM0Q0VVejZab2tybksyS1MxUGhUZmc?oc=5In Philly homes, wallpapering is back and the rules have changed Inquirer.comMar 5, 2026 8:00 AM
nasa.gov
High-Speed Flight Project Overviewhttps://www.nasa.gov/directorates/armd/aavp/hsf/high-speed-flight-project-overview/What We do The High-Speed Flight (HSF) project develops technologies that make high-speed, airbreathing, commercial flight possible from Mach 1 to Mach 5 and above. HSF creates tools, technologies, and knowledge that will help eliminate today’s technical barriers to practical supersonic flight, most notably sonic boom. The project supports the X-59 quiet supersonic vehicle testing […]Mar 5, 2026 1:05 AM
spacenews.com
When space is hot, Washington holds a matchhttps://spacenews.com/when-space-is-hot-washington-holds-a-match/A lesson from private equity investing in defense and space technology is that while the sector has become trendy among investors, success in the long run depends on sustained government engagement The post When space is hot, Washington holds a match appeared first on SpaceNews.Mar 3, 2026 4:00 PM
news.ycombinator.com
Ask HN: How are you structuring Markdown-based context for AI coding agents?https://news.ycombinator.com/item?id=47231386I’ve recently transitioned from using LLMs in-browser to a local agentic workflow in VS Code (Gemini Code Assist). I can approve/disapprove changes which is nice, but I’ve hit a wall regarding context management. Initially, I provided all the whole repo as context to the non-agentic version of Gemini code assist and it performed well.I read the agentic mode is "better" so to keep the agent aligned with my project's architecture, I’ve manually built 7 dense Markdown files that serve as the system instructions for the project. I require Gemini to update these files as we implement features.gemini.md (instructs gemini to read the other md files and handle updating) project_overview.md, architecture.md, features.md, database.md, api.md, security.mdEach file is between 500–1,500 words so I’m concerned if f this is the right way to go. There seems to be no consensus on context file best practices. I’m seeing strong arguments for both minimalist, lean instructions and dense, project-wide specMar 3, 2026 12:29 PM
bing.com
Trump amaga con cortar comercio con España tras negativa a uso de bases militareshttp://www.bing.com/news/apiclick.aspx?ref=FexRss&aid=&tid=6a89035b023747f999f8951d7efdf657&url=https%3A%2F%2Fwww.msn.com%2Fes-mx%2Fnoticias%2Fmundo%2Ftrump-amaga-con-cortar-comercio-con-espa%25C3%25B1a-tras-negativa-a-uso-de-bases-militares%2Far-AA1Xs508&c=11444046602644011705&mkt=en-usEl presidente Donald Trump amenazó este martes con cortar todo el comercio con España, cuyo gobierno de izquierdas se negó a permitir que aviones estadunidenses usaran bases españolas para atacar Irán ...Mar 3, 2026 9:51 AM
news.ycombinator.com
Show HN: DevIndex – Ranking 50k GitHub developers using a static JSON filehttps://news.ycombinator.com/item?id=47193729Hey HN,I’ve always been frustrated by the lack of an accurate ranking for top open-source contributors on GitHub. The available lists either cap out early or are highly localized, completely missing developers with tens or hundreds of thousands of contributions.So, I built DevIndex to rank the top 50,000 most active developers globally based on their lifetime contributions.From an engineering perspective, the constraint I imposed was: *No backend API.* I wanted to host this entirely on GitHub Pages for free, meaning the browser had to handle all 50,000 data-rich records directly.Here is how we made it work:1. *The Autonomous Data Factory (Backend):* Because GitHub's API has no "Lifetime Contributions" endpoint, we built a Node.js pipeline running on GitHub Actions. It uses a "Network Walker" spider to traverse the social graph (to break out of algorithmic filter bubbles) and an Updater that chunks GraphQL queries to prevent 502 timeouts. The pipeline continuously updates a single `userFeb 28, 2026 11:13 AM
github.com
Show HN: Stash – AI-powered self-hosted bookmark managerhttps://github.com/ayoub9360/stash-bookmarkI built Stash, a self-hosted bookmark manager that uses AI to automatically process your links.Paste a URL and it fetches the content, parses it, summarizes it, auto-assigns categories and tags, and generates a vector embedding for search.Search is hybrid — it combines pgvector cosine similarity (semantic) with PostgreSQL tsvector (keyword) and merges both with Reciprocal Rank Fusion. You can search in natural language ("articles about distributed systems tradeoffs") or with simple keywords.It's single-tenant by design: one password, no user accounts, no tracking. Your data stays on your machine.The project is MIT licensed don't hesitate to contribute. Some areas where help would be great: browser extension, bookmark import/exportGitHub: https://github.com/ayoub9360/stashHappy to answer questions about the architecture or the hybrid search approach.Feb 27, 2026 2:11 PM
github.com
Show HN: Context Harness – Local first context engine for AI toolshttps://github.com/parallax-labs/context-harnessContext Harness is a single Rust binary that gives AI tools like Cursor and Claude project-specific memory. It ingests docs, code, Jira tickets, Slack threads, and anything else into a local SQLite database, indexes them with FTS5 and optional vector embeddings, and exposes hybrid search via CLI and an MCP-compatible HTTP server.I built this because I kept hitting the same problem: AI tools are powerful but have no memory of my complex multi-repo project. They can't search our internal docs, past incidents, or architecture decisions. Cloud RAG services exist, but they're complex, expensive, and your data leaves your machine. I wanted something I could point at my sources and just run `ctx sync all`.Quick start: # Install (pre-built binaries available for macOS/Linux/Windows) cargo install --git https://github.com/parallax-labs/context-harness.git # Create config and initialize ctx init # Sync your data sources (filesystem, Git, S3, or Lua scripts) ctx sync all # Search from CLI ctx seaFeb 26, 2026 6:26 AM
