📦 nicespoon/retro-adsb-radar

Retro ADS-B Radar

Retro-adsb-radar is the Python-based radar application that turns live flight-tracking data into a beautiful, glowing terminal style display from the eighties. Built with Pygame, it connects directly to a local aircraft receiver feed to plot real-time positions, altitude, and speed right on your screen. What makes this so cool is how it handles the data: it features a glowing scope with trailing aircraft paths, blinks bright amber when it spots military planes, and can even stream live air traffic control audio alongside the map. It is the perfect weekend build to run on a tiny spare display or desktop monitor for a gorgeous, functional piece of cyber-deck eye candy.

🆔 @hackernewsgithubprojects

📦 quan-meng/seen2scene

Seen2Scene

Seen2Scene is the 3D scene generator that successfully trains directly on messy, incomplete real-world scans to fill in missing gaps. While typical algorithms require perfect, synthetic virtual models to learn how to complete a room, this system works with actual, imperfect scans from physical spaces. It uses smart visibility tracking to ignore the blank spots during training, focusing only on what is actually visible. By understanding real-world layouts, it accurately predicts and reconstructs hidden or missing parts of cluttered rooms. Ultimately, this makes capturing and rebuilding physical spaces for virtual environments far more practical and realistic.

🆔 @hackernewsgithubprojects

📦 gvzdv/claudish-to-english

Claudish To English

claudish-to-english lets you read AI assistant messages in plain English by running a local model via ollama that rewrites complex outputs into simple, easy-to-understand text without changing the original transcript or sending your data anywhere. it is a display-only plugin that keeps your original conversation intact while showing a simplified version on screen, and it even offers an optional feature to convert markdown files into plain English documents for better readability. the best part is its fail-safe design, meaning if your local model is slow or unavailable, you never lose the original AI response, and nothing leaves your machine.

🆔 @hackernewsgithubprojects

📦 ahpxex/read-aware

ReadAware: The Reader That Remembers

ReadAware is a free, open-source reading app that keeps a persistent, growing memory of your annotations and thoughts across every book you read. Instead of tacking on a clunky AI sidebar, it builds a single intelligent agent into the core that understands your context and helps you dive deeper into unfamiliar passages right where you are. It works like a quiet, focused bookshelf that remembers what you liked, supports dozens of file formats, and lets you extend its powers with safe, sandboxed plugins.

📰 https://news.ycombinator.com/item?id=49256926

🆔 @hackernewsgithubprojects

📦 tanaybhomia/whisp

Whisp

You can swipe through your desktop notes just like scrolling through photos on your phone. Whisp is a fluid, gesture-driven scratchpad built specifically for the GNOME desktop environment. Instead of forcing you to name files, organize deep folders, or constantly hit save, it replaces traditional text document structures with a horizontal, swipeable canvas. You simply open the app, glide between recent thoughts with smooth trackpad swipes, edit your text instantly in markdown, and press a quick shortcut to delete a draft forever when you are finished. It is the ultimate distraction-free scratchpad for capturing fleeting thoughts instantly.

🆔 @hackernewsgithubprojects

📦 florianjs/trackarr

Trackarr

Launch your own highly secure private file-sharing community in less than five minutes. Instead of dealing with complicated servers and security headaches, trackarr gives you a fully functional private torrent tracker right out of the box. The most incredible part of this project is its emergency panic button. If you ever need to protect your community, a single command instantly encrypts all sensitive data, forum posts, and file names with military-grade encryption, rendering them completely unreadable without your master password. It is a brilliant way to host a modern, lightning-fast hub with zero-knowledge login security built right in.

🆔 @hackernewsgithubprojects

📦 razerofficial/aikit

Razer AIKit: Local AI Powerhouse

Razer AIKit is the desktop toolkit that brings cloud-grade artificial intelligence directly to your personal computer. Instead of relying on slow cloud servers, this open-source environment lets developers run, test, and train large language models entirely on local hardware. The real magic happens when it handles multiple graphics cards, automatically balancing the heavy workload across your entire system for lightning-fast results. You get a complete setup with a chat interface, monitoring dashboards, and step-by-step guides ready to go with just one command. It turns your gaming laptop or workstation into a serious machine learning lab, making advanced artificial intelligence research accessible without needing expensive enterprise infrastructure or complex cloud accounts.

🆔 @hackernewsgithubprojects

📦 shinyquagsire23/klepton

Run VR Apps on Apple Vision Pro

Watch Klepton let you play Android virtual reality games right on your Apple Vision Pro without needing the usual Java speed hacks. This clever tool takes those heavy Android game files and translates them into native Apple formats that work seamlessly with the headset’s graphics system. You simply point it at a game file, and it builds a bridge that lets the VR world run natively on your device. It even handles tricky stuff like audio and touch controls by rewriting how the code talks to the system. Seeing popular titles like Beat Saber run smoothly without compatibility layers is pretty wild.

📰 https://news.ycombinator.com/item?id=49238818

🆔 @hackernewsgithubprojects

📦 droidrun/mobile-harness

Mobile Harness: AI Control for Android and iOS

Control real phones with your AI. Mobile Harness connects chatbots to Android and iOS devices so they can actually do things. It lets agents take screenshots, tap buttons, type text, and scroll through apps without any human help. You get local control via USB or cloud access to remote devices. It handles tricky moments like login screens and cookie banners safely. Just install it, point your agent at the guides, and watch it navigate settings or shop on eBay while you sit back. Give your automation superpowers with real device control.

🆔 @hackernewsgithubprojects

📦 xoreaxeaxeax/schrodingers-toctou

Schrödinger's TOCTOU: When Compilers Rewrite Your Code

Run a binary you think you wrote and watch the compiler secretly re-read attacker-controlled memory right after you checked it. This project reveals how optimizing compilers can invent hidden loads that break time-of-check to time-of-use security patterns, even when you carefully snapshot untrusted data into a local variable. The C standard permits this behavior, meaning your safe code can silently collapse into a vulnerable binary depending on the exact compiler version and architecture used. It finds these hidden bugs across kernels, firmware, and hypervisors by analyzing the generated machine code rather than trusting the source. The takeaway is simple: you cannot trust source-level safety checks alone.

📰 https://news.ycombinator.com/item?id=49216147

🆔 @hackernewsgithubprojects

📦 cool-japan/oxigdal

oxigdal

You can now handle massive geospatial map and satellite files using one hundred percent pure Rust with zero clunky C dependencies. The project oxigdal is a full-featured alternative to the classic geographic data engine, reimagined from the ground up to prevent memory crashes and make compilation a breeze. It reads and writes eighteen different spatial formats, runs lightning-fast map projections using high-performance vector math, and streams giant cloud-optimized files directly from online storage. Best of all, it scales down to run inside a web browser or on a tiny microcontroller. Grab oxigdal to build fast, reliable, and modern map services.

📰 https://news.ycombinator.com/item?id=47317812

🆔 @hackernewsgithubprojects

📦 showlab/robotseg

RobotSeg

RobotSeg is the specialized vision model that finally masters the tricky task of tracking and segmenting robots in images and video. Standard visual models often get confused by shiny metal joints, rapid movements, and cluttered lab backdrops. This project overcomes those obstacles by combining structural knowledge with smart memory tracking, letting it cleanly outline the robot arm, gripper, or entire machine without needing manual human clicks. It is incredibly lightweight, runs fast in real-time, and comes with a massive video dataset covering ten different robot types. It is perfect for training physical robots to understand their own movements and seamlessly transfer skills from simulation to the real world.

🆔 @hackernewsgithubprojects

📦 nimrobo/superdense

Superdense

AI coding agents start every task cold, but superdense gives them a local memory loop so their work actually compounds. Instead of starting from scratch, your agent inspects past attempts, reviews what worked, and runs experiments on your local machine to hit a specific real-world goal. It indexes your development sessions into a local SQLite database, calculates run costs, and tracks your hypotheses over time. You can set goals like boosting signup conversion or cutting API latency, and your agent adapts its strategy with every run. Grab it on npm to let your local agents finally learn from experience.

🆔 @hackernewsgithubprojects

📦 ericzakariasson/gloss

Gloss: Restyle Web Pages with AI

Gloss is a Chrome extension that lets you personalize any website with a floating orb. It takes a screenshot of the page, sends it along with your prompt to the Grok API, and streams new CSS back onto the site in real time. You can ask it to make a page calmer, hide distractions, or change colors, and the visual changes stick for that specific site until you reset. It even supports optional JavaScript for more complex tweaks. The extension is unpacked only because Chrome blocks model-generated scripts on the web store. You need to install it manually, add your xAI API key, and enable user scripts for strict sites.

🆔 @hackernewsgithubprojects

📦 s010s/prehistoric-animal-museum

A Calm 3D Museum for Kids and Parents

Explore eighteen ancient creatures in this peaceful 3D museum built for kids and parents to browse together. You can spin, zoom, and listen to gentle narration in English or Chinese, all without any auto-play or creepy tracking scripts. It’s designed to be a quiet, ad-free space where a child can simply look at a Stegosaurus or Mosasaurus without the pressure of winning or losing. Every animal includes a helpful parent guide with facts about diet and fossils, making it a safe way to spark curiosity. Visit the museum to enjoy a calm, private experience that puts discovery before entertainment.

🆔 @hackernewsgithubprojects

📦 shadcn-ui/chatbot-template

Chatbot Template: Ask and Answer

Chatbot Template is the minimal assistant that actually talks back instead of just guessing. Most chatbots just spit text at you, but this one flips the script by pausing to ask you clarifying questions right in the chat stream. It feels like a real conversation because the model can interrupt itself to gather context, waiting for your input before continuing with better answers. You get that human-in-the-loop magic where the AI stops, asks what you mean, and keeps going once you reply. It is clean, built on Next.js with shadcn components, and totally ready to drop into your own projects. Give your bot a voice that listens.

🆔 @hackernewsgithubprojects

📦 bishwaghimire/ai-learning-roadmaps

The Ultimate AI Learning Roadmap

Build an actual AI career without getting lost in the noise by using a single organized hub that maps out everything from basic Python to advanced machine learning. This project takes the overwhelming amount of online tutorials and bundles them into clear step-by-step paths for machine learning deep learning and even the latest large language models. You get direct access to the best books trusted courses and key research papers all sorted by topic so you know exactly what to learn next.

🆔 @hackernewsgithubprojects

📦 kingskuan/claudebot-vibe

claudebot-vibe

Give your Telegram account a brain with claudebot-vibe, a personal AI assistant that actually remembers you. Instead of treating every message like the first time you met, this project layers in three levels of memory, so conversations flow naturally without you having to repeat yourself. It goes beyond simple chat by scanning the web for fresh answers and even recognizing images you send, turning your messaging app into a powerful research and creativity tool. By connecting Claude’s language skills with a persistent database, it solves the annoying problem of AI forgetfulness and gives you a consistent, helpful companion that grows smarter over time.

🆔 @hackernewsgithubprojects

📦 sparkywen/qcue

QCue

The open-source second brain that automatically distills your raw, fleeting thoughts into an interconnected Markdown wiki. Built with a robust Rust backend and an offline-first Flutter app, qcue lets you capture ideas via voice or text and uses your own LLM keys to organize them into Obsidian-compatible wiki pages complete with wikilinks. It features agentic natural-language recall and a nightly Auto-Dream pass that safely consolidates your knowledge base under a strict, cost-checked approval gate. It runs keyless in a local stub mode, giving you a private, secure workspace that puts you in complete control of your data.

🆔 @hackernewsgithubprojects

📦 arplaboratory/skyjepa

SkyJEPA

Researchers have built a way to control real-world drone flights using a model trained entirely on synthetic simulation data. This is skyjepa, a project that bridges the sim-to-real gap for aerial robotics using joint embedding predictive architecture, or JEPA. Instead of struggling with messy real-world flight data, it generates structured drone dynamics in simulation, learns a latent representation, and runs it through a physics-inspired probe using differentiable kinematic integration. This clever combination lets you deploy sampling-based controllers onto actual drones, even with payloads, zero-shot. Keep an eye on this repository because their full training and deployment code is dropping soon.

🆔 @hackernewsgithubprojects