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πŸ“¦ inditextech/kumoss

Kumoss: Ask for Clouds, Get Code

Kumoss is the infrastructure tool that lets you order your cloud setup with plain English instead of writing code. It turns your casual request into a fully checked pull request, handling the boring compliance and safety checks for you. The coolest part is that it actually looks at your live cloud, finds where things drifted out of sync, and fixes the code to match reality automatically. It keeps humans in the loop for risky changes, so you get speed without losing control. If you are tired of waiting on platform teams, this is your new way to build infrastructure safely.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ pounat/absorb

Absorb: The Audiobook App That Thinks Like a Card Deck

Absorb turns your phone into a card deck for listening to audiobooks. Instead of a static player screen, the app slides full-screen cards over your music as you play, pause, or skip. It connects directly to your own self-hosted server, meaning you keep total control over your library without any cloud middleman. The card-based design makes switching between books or checking your progress feel like flipping through a physical stack. If you run your own audio server, this gives you a modern, offline-friendly way to manage and enjoy your collection on the go. It is a practical, privacy-first tool for people who want their library to travel with them.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ undrgrnd-labs/hunch

Hunch: The Fast Reflex for AI

A tiny computer program now answers complex questions in twenty-two milliseconds, without a single graphics card. It is called hunch, and it works by learning directly from a smarter, slower model. Think of it as a reflex for your data pipelines. While big language models take time to think through every detail, hunch simply knows the answer to repetitive checks like safety scans or tool failures. It runs on regular processors, making it cheap enough to run on thousands of records at once. It only answers when it is confident, and if something looks strange, it passes the job back to the teacher model.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ mjshiggins/dopplertrack

dopplertrack

A plain audio file from your porch can pinpoint your exact coordinates on Earth, down to forty-three meters, using nothing but the faint hum of distant airplanes. dopplertrack is an open tool that turns this acoustic trick into an automatic process. It scans a recording for the subtle frequency drops caused by propellers, then matches those shapes against public flight logs from that specific day. By testing which historical flight path creates the exact sound you heard, it locates the listener without any GPS. It’s a clever, physics-based way to turn everyday background noise into a precise map, proving that our ears are essentially built-in location sensors.

πŸ“° https://news.ycombinator.com/item?id=50362464

πŸ†” @hackernewsgithubprojects
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πŸ“¦ govijr/terminal-phone

Run Your iPhone Inside Your Terminal

Turn your terminal into a live iPhone that you and your coding agents can control together. Terminal Phone puts a real iOS simulator right on your screen, letting you click and swipe like a physical device while your AI assistant taps and verifies apps through the same interface. It works by streaming a sharp, fast video directly to your terminal so you can watch exactly what your agent is doing as it builds and tests your application. This is cool because it gives your software a tangible way to interact with the real world, closing the loop between writing code and seeing it run.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ inebrio/routerly

Routerly: The AI Traffic Cop

Stop juggling five different A.I. keys just to get your work done. Routerly acts as a single front door for every model you have, deciding in real time which one should handle your request based on cost, speed, or even the specific task at hand. The coolest part is that it lets an A.I. model decide the routing, so it picks the smartest option for the job. It drops right into your existing code without a database, just changing the address where your app sends requests. You get total control over spending and privacy while keeping your setup simple. It is the smart traffic cop for your artificial intelligence.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ worldonlyu/google_ai_pro_2year_zerocost_auto

Google AI Pro 2Year ZeroCost Auto

A single script automates the entire process of stacking two years of Google AI Pro service for a total cost of zero dollars by chaining together three separate free trial periods. This local console handles the repetitive technical steps, including account login, identity verification, and subscription management, which would otherwise require hours of manual clicking. The system uses a headless browser to navigate the web interface and confirm that each checkout totals exactly zero dollars before proceeding. It finishes by cancelling auto-renewal to lock in the benefits. For developers interested in web automation, this is a clear example of using browser control to manage complex subscription workflows without human intervention.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ m5stack/stackchan-bsp

StackChan: The Robot You Build Yourself

M5Stack built a desktop robot that actually moves, talks, and thinks. This is StackChan. It is not just a toy; it is a full computer with a face. It has a screen, a camera, and even a speaker. But the coolest part is that you can make it yours. You can write code in Arduino to control its eyes, its body, and its personality. It uses special motors to turn its head and move its arms. You can even build it yourself from parts. It is perfect for people who want to learn how robots work. You do not need to be a pro. Just follow the guide.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ anionex/agent-vision-toolkit

agent vision toolkit: eyes for text AI

agent vision toolkit is the vision system that gives text-only coding agents real eyes. It solves the problem of blind AI models that cannot see images or understand screenshots. Instead of forcing a model to be multimodal, this toolkit uses a clever focus hint. It reads what your agent is trying to do and asks a vision model for exactly that detail. This means your text model gets precise, task-specific info instead of a generic description. It handles everything from reading chat logs to rebuilding user interfaces from photos. You can even control a computer by having the agent look at the screen and find buttons.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ infrec-cardinal/the-trinity

The Trinity: AI That Builds Its Own Training Worlds

The Trinity lets AI agents build their own simplified training worlds to get better at real jobs. Instead of just memorizing data, this framework uses three roles to create fake environments, test skills inside them, and refine abilities based on actual results. It turns messy real-world tasks into clear capability trees, allowing agents to practice safely before facing the real thing. You get a system that figures out exactly what it needs to learn and how to improve it. It is a clever way to make AI smarter by letting it design its own curriculum. Watch how agents evolve through practice and feedback.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ aurora-viewer/aurora-viewer

Aurora Viewer: Second Life, Rebuilt for Speed

Render the sprawling virtual world of Second Life at five times the speed of the classic client. Aurora Viewer is a complete rewrite built from the ground up in Rust, pairing that raw performance with a modern graphics pipeline that actually uses your hardware efficiently. It keeps the familiar behavior and rules you already know while delivering a sleeker interface and instant teleports that skip the loading screen entirely. The most surprising part is how it handles crowded scenes, maintaining hundreds of frames per second in busy areas where older viewers stutter and slow down.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ linee64/trainpilot

TrainPilot: Why Your GPU Is Slow

TrainPilot is the diagnostic tool that finally tells you exactly why your free Colab GPU feels so slow. Instead of guessing, it runs a quick test to see if your computer is stuck waiting for data or actually working hard on the math. If it is busy, it tries a simpler way to do those calculations and checks that the result is still correct. Then it gives you a single short line of code to paste yourself. It does not touch your files, just hands you the exact fix. It turns confusing lag into a clear, simple answer you can use right now.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ projectbluefin/server

Bluefin Server: The Linux OS That Runs Entirely In RAM

Spin up a secure Linux server that runs entirely from your computer's memory, meaning you can update or patch your entire operating system just by rebooting the machine. This project called Bluefin Server builds a minimal, immutable system where the core files are locked down to prevent accidental damage or tampering. Instead of complex patching, a single network boot pulls a fresh, verified image into memory, ensuring every node stays perfectly consistent and secure without touching the hard drive. It is a clean, container-style approach to server management that eliminates configuration drift and makes scaling simple.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ roycho87/clown_context_suite

Geiru Context Suite Keeps Long Videos Clean

Geiru Context Suite is the ComfyUI add-on that stops your video quality from crumbling during long chains. When you stitch short clips together, every new segment starts from the tail of the last one, causing details and colors to slowly drift apart. This suite fixes that by locking the first clip’s clean starting frame into every single shot. It acts like an anchor, pulling the look back to the original standard so the degradation never stacks up. No extra renders or language models required, just a simple plug-in that keeps your five minute videos looking as sharp as the first second.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ sergebulaev/facebook-skills

Facebook Skills: Your AI Content Team

Hand your AI assistant a set of skills that turn it into a dedicated Facebook content team. It drafts punchy posts that actually get shared, plans your week, and even audits your page for better reach. The coolest part? It has a built-in humanizer that strips out all those awkward AI-sounding words so your content sounds like a real person talking. No coding required, just ask for what you need. If you run a Facebook page, this is your new secret weapon for consistent, high-quality posts without the burnout.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ zhuyansen/awesome-ai-reverse-engineering

Awesome AI Reverse Engineering: The Agent Toolkit

Awesome AI Reverse Engineering is the curated toolkit that teaches coding agents to reverse engineer software. It gathers one hundred twenty two open-source projects, each security graded and verified for quality, so you never have to guess which tools are safe. The standout feature is the collection of Model Context Protocol servers that connect standard disassemblers like Ghidra and IDA Pro directly to AI assistants. This allows a language model to drive complex binary analysis tasks, effectively turning a general chatbot into a specialized reverse engineering assistant. It solves the problem of making low-level security analysis accessible to everyone.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ doublestyx/renderide

Renderide: The Rust Renderer

Renderide is the custom graphics engine that lets you swap out the entire visual core of the virtual world game Resonite. Usually, a game’s look and feel are locked inside its main program, but Renderide runs as a separate piece of software written in a high-speed language called Rust. It talks to the game through shared memory, taking over the job of drawing the world entirely. This means you get modern graphics technology and a faster, cleaner experience without touching the original game files. It is a fascinating look at how developers are rebuilding the inside of complex software from the ground up.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ gmpetrov/agent-screenplay

Your AI Agent Just Made a Pro Video

Turn a simple text prompt into a polished, professional screen recording. Screenplay lets your AI agent explore any website or desktop app, figure out the steps, and then film the entire process while automatically adding smooth cursor movements, dynamic zooms, and on-screen captions. You do not need to write code or learn video editing; you just tell your agent what to show, and it handles the rest. The result is a clean, ready-to-share video that looks like it was made by a professional designer. It is the perfect tool for creating product demos, tutorials, or social media clips without ever opening a video editor.

πŸ“° https://news.ycombinator.com/item?id=50363940

πŸ†” @hackernewsgithubprojects
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πŸ“¦ sergebulaev/tiktok-skills

TikTok Skills: Your AI Content Team

TikTok Skills is the AI toolkit that scripts your first three seconds so viewers actually stay. It plugs into coding agents to handle the messy details, like writing hooks that grab attention and captions that sound like a real person talking, not a robot. You just record the video; this tool handles the words, the hashtags, and even the scheduling. It is perfect for creators who want to look professional without spending hours staring at an editing screen. Basically, it turns your phone into a professional content machine by letting the AI do the heavy lifting while you focus on the fun part of creating.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ zihan-su/self_gradient_forcing_plus

Self Gradient Forcing Plus: 24-Hour Videos From 5-Second Clips

A machine learning model trained on just five seconds of video can now generate twenty-four hours of continuous footage. That is the core capability of Self Gradient Forcing Plus. The project solves a specific problem where the math used to learn context and clean up noise fought each other, causing errors to pile up over time. By separating these conflicting updates, the model keeps its footing, allowing it to roll out for days without falling apart. This matters because it proves that short training data can support massive, long-form generation. The takeaway is simple: smarter math lets small models dream for hours.

πŸ†” @hackernewsgithubprojects