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πŸ“¦ newspicel/sdrminusminus

sdrminusminus: The Modular Software Defined Radio

sdrminusminus treats your radio setup like a visual puzzle where you literally plug signal blocks together on a digital canvas. It is a client server system that lets you connect hardware devices, decoders, and displays without writing code, which solves the problem of complex radio software being too rigid for quick experiments. You can leave the heavy server near your antenna and control it from your browser, making it easy to test different setups. The most interesting part is the built in virtual signal generator, which lets you try the whole system without owning any hardware.

πŸ“° https://news.ycombinator.com/item?id=49695805

πŸ†” @hackernewsgithubprojects
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πŸ“¦ shengshu-ai/turboserve

TurboServe: The AI Video Server That Saves Money

TurboServe is the serving system that finally stops wasting money on idle graphics cards while generating real-time video. When many users stream interactive AI videos at once, the system faces a tricky puzzle: it must keep every frame arriving on time while juggling different session lengths and sudden traffic spikes. TurboServe solves this by constantly moving user sessions between graphics processors and automatically scaling down the hardware when demand drops, rather than keeping every machine running at full power. This smart scheduling cuts both the worst-case delay for a video chunk and the total electricity bill by nearly forty percent compared to standard setups.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ jakeatx/llamampere

LlamAmpere: 90 Tokens Per Second on One GPU

One graphics card pushes out ninety tokens per second even while juggling a hundred thousand tokens of context. LlamAmpere takes the popular Llama dot C plus plus inference engine and tweaks it specifically for Nvidia Ampere chips, like the RTX three thousand ninety. The problem is simple: as a conversation gets longer, the computer has to remember every single word it has ever said, and that memory eats up space and slows everything down. LlamAmpere compresses that memory aggressively without losing quality, and uses the model’s own draft head to predict words faster.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ mystikolab/rustcast

RustCast: The Open Source Spotlight Alternative

RustCast is the open-source launcher that puts your entire computer at your fingertips, built entirely in Rust for speed. If you have used a command bar to quickly open apps or run calculations, this is the free, customizable version that lives in your menu bar. The single most impressive thing it does is window tiling, meaning you can snap any window to specific screen positions using a simple hotkey, which is usually a paid feature in other tools. It handles clipboard history, math, and file search with a snappy feel that proves Rust is a serious contender for desktop apps.

πŸ“° https://news.ycombinator.com/item?id=49713307

πŸ†” @hackernewsgithubprojects
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πŸ“¦ joaquinruiz/specjudge

SpecJudge: Pick the right AI model

SpecJudge is the command-line tool that stops you from wasting money on the wrong AI model. You know how picking the right model usually feels like a guess? This fixes that. It reads the plan and specs you already wrote for your project, then uses a small AI running entirely on your own computer to figure out exactly how hard the work is. It compares that difficulty against every model you have access to, checking real prices and capabilities. The coolest part is that it demands proof.

πŸ“° https://news.ycombinator.com/item?id=49206759

πŸ†” @hackernewsgithubprojects
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πŸ“¦ ethanplusai/jarvis

JARVIS: Your Mac's New Voice Assistant

JARVIS turns your Mac into a talking partner that actually builds software for you using the Claude Code you already pay for. Instead of typing commands, you simply talk to your computer, and it answers out loud, walking through your ideas with you until you settle on a plan. Once you agree, it writes the design down as a file, then kicks off a real coding session to handle the heavy lifting.

πŸ“° https://news.ycombinator.com/item?id=49714089

πŸ†” @hackernewsgithubprojects
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πŸ“¦ opentradeoss/opentrade

OpenTrade: The AI Trading Harness

OpenTrade is the trading harness that lets artificial intelligence agents place real stock orders on your behalf. Instead of you clicking buttons, this Mac application connects to a Robinhood account and allows coding agents to monitor markets and execute trades autonomously. The standout feature is its safety layer, which lets you set strict limits and requires you to manually approve specific moves before money changes hands. It also keeps these agents working in the background, even when you close the app window. If you are curious about how code can manage a portfolio, this project is a fascinating look at that future.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ stackonehq/defender

Defender: The AI Shield That Blocks Hidden Attacks

Defender is the open source shield that catches hidden attacks before your AI agent can be tricked. When your software reads emails or documents, malicious text can hide inside to command the AI to do something bad. Defender uses a tiny, fast brain to scan every line, finding and removing these traps in less than ten milliseconds. It runs right on your computer without needing expensive hardware, keeping your data safe while staying incredibly quick. It is the invisible guardrail that ensures your tools only follow your real instructions. If you build with AI, this is the safety net you need.

πŸ“° https://news.ycombinator.com/item?id=49714872

πŸ†” @hackernewsgithubprojects
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πŸ“¦ aydinadnan/pulsevad

PulseVAD: The Voice Detector That Fits in 2 Kilobytes

A neural network that detects human speech now fits inside two kilobytes of memory. PulseVAD is a voice activity detector so small that it runs directly on cheap microcontrollers and Arduino boards, solving the problem of powering real-time audio tools on devices with almost no processing power. By compressing a standard voice detection model into a tiny, standalone C file, it allows developers to build offline, battery-friendly voice assistants without needing a cloud connection or a powerful computer. You now have a practical, low-cost path to adding smart voice detection to any embedded hardware project, proving that advanced AI can run on surprisingly modest hardware.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ acryldev/acryl

ACRYL Keeps Your Code Context Alive

Keep your coding work alive even when you switch tools. ACRYL builds a persistent workspace that holds your project context, tasks, and files steady while you swap out different coding agents. Instead of losing your place every time you change software, the environment stays exactly the same. One agent can start a task, and another can finish it later without confusion. This setup solves the problem of losing momentum when switching tools. It gives you a stable foundation for your work. The result is a smoother development flow. Your project remains consistent no matter who is working on it.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ feitangyuan/motion-web

motion web: The Physics Engine for Web Motion

Design web interfaces where movement behaves like physical objects. Motion web is a creative engineering toolkit that treats animation as the core material of a website, not just decoration. It uses real spring and damping physics to make elements bounce, sag, and settle with genuine weight and momentum. The standout feature is a string clock where the hands drape like loose rope, yet the tip stays perfectly accurate. This project comes with seven interactive examples and an automated verification system that mathematically proves every interaction works as intended. It stops the production of stiff, plastic looking web animations.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ tigerless-labs/seo-ops

seo-ops: The No-Nonsense SEO Checker

You can check your entire website's technical health without writing a single line of code or hiring an SEO consultant. A tool called seo-ops works like a digital health check for your site, running twenty-six specific structural tests to see if search engines can actually find and read your pages. It’s completely deterministic, meaning it uses plain logic rather than AI to check things like your sitemap and metadata. This ensures every developer gets the exact same result every single time, removing the guesswork from your workflow.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ lok-i/orcs

ORCS: Train Humanoid Robots to Move Like Humans

ORCS lets researchers teach humanoid robots to perform complex physical tasks like dodging a ball or walking over rough terrain without falling. Instead of building a brain from scratch, it takes a pre-trained robot controller and fine-tunes it with extra sensory information, such as scanning the ground or tracking an object. This approach is surprisingly effective because it allows the robot to adapt its movements to real-world conditions while keeping the core balance stable. The toolkit handles everything from data preparation to training, making it much easier to experiment with advanced robot behaviors.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ itsssssjack/slopmonster

SlopMonster: The Linter That Catches AI Slop

SlopMonster is the linter that finally catches AI slop before it ships. You know that distinct, robotic flavor in machine-written copy, the kind that makes readers roll their eyes? This project treats that flavor like a syntax error. It scores your text out of five and fails your build if the score is below perfect. It doesn't just flag words. It hunts for the specific sentence shapes and rhythm tricks that models love, like the rule of three or excessive dashes. Here is the coolest part. It forces you to clean the copy with a rival AI model. Why? Because a model can never hear its own accent.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ nvidia-bionemo/bionemo-inference-runtime

BioNeMo Inference Runtime: The Protein Folding Speed Demon

BioNeMo Inference Runtime is the GPU pipeline that turns protein folding models into lightning-fast structure predictions without the usual compilation headache. Instead of wrestling with complex engine builds, you simply drop in standard neural network modules and let a five-stage system handle the heavy lifting. It takes raw sequence data and spits out 3D structures with confidence scores, all while running significantly faster and using less memory than standard PyTorch setups. This is perfect for anyone who wants to run AlphaFold-style models on modern hardware without turning their computer into a server farm. If you are working on protein design, this is the easy button that actually works.

πŸ“° https://news.ycombinator.com/item?id=49672745

πŸ†” @hackernewsgithubprojects
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πŸ“¦ xqy2006/modeltrace

ModelTrace: Know Your AI Model

ModelTrace is the local tool that finally verifies which AI model is actually answering you. It solves a major trust gap by actively fingerprinting the backend, so you know if a cheaper, different model is silently swapping in behind the scenes. The project runs entirely on your machine using a browser-based dashboard where you can feed challenges to the AI and compare its unique linguistic traits against a stored fingerprint bank. This is brilliant because it gives developers a real, active way to audit their infrastructure without sending sensitive data to a third party.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ tripogrowthlab/awesome-astra-prompts

Awesome Astra Prompts: 3D Games from Text

Awesome Astra Prompts is the curated collection that turns text into playable three-dimensional worlds. It gathers over two hundred prompts for GPT-6 Astra, an AI model that generates interactive games and scenes directly from written instructions. You do not just see static images here; you find real, explorable environments like particle colliders and anatomical explorers, complete with source code links. The repository updates twice daily and translates every entry into fourteen languages, making it a rare, accessible resource for creators. Whether you want to see what the model can do or find inspiration for your own projects, this is the place to start.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ edonadei/caliper

Caliper: The Agent Skill Stress Test

Caliper doesn't just run your AI agent skills; it scientifically proves they actually work. You can test your specific skill by running it ten times with the skill active, and then ten more times with it completely removed. Caliper compares the two results to show you exactly how much smarter the agent became and how many tokens you saved. It is the only tool that isolates a single variable to tell you if your prompt engineering is real or just luck. If you build agent skills, you need this proof. Stop guessing if your code works. Measure it. Caliper gives you the data. Trust your agent because you measured it.

πŸ“° https://news.ycombinator.com/item?id=48709606

πŸ†” @hackernewsgithubprojects
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πŸ“¦ skforecast/skforecast-ai

skforecast-ai: AI Forecasting Made Simple

skforecast-ai returns the exact, runnable code that produced your forecast. This AI assistant handles the complex work of profiling data and choosing models so you get a result in one call. The real surprise is the transparency: you don't just get a prediction, you get the script that created it. This means you can inspect, version, or run the code yourself later. It turns a black box into a clear, auditable process. You get the forecast and the proof of how it got there. That’s the takeaway: a forecast you can actually verify.

πŸ“° https://news.ycombinator.com/item?id=49523988

πŸ†” @hackernewsgithubprojects
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πŸ“¦ lynnreal-ai/lynnreal-omni

LynnReal-Omni: One Model for All Video Tasks

LynnReal-Omni uses a single thirty-two billion parameter model to handle everything from making videos out of text to fixing blurry old footage, all in just a few seconds. Instead of juggling five different tools, this one framework takes a simple sentence, a sketch, or even a hand gesture, and turns it into a moving picture. It works so fast that it can start streaming video in real time, which makes it perfect for people who want to experiment without waiting around. The result is a flexible toolkit that lets creators mix and match inputs, like a photo and a pose clip, to get exactly the video they imagine.

πŸ†” @hackernewsgithubprojects