📦 typetype-video/typetype

TypeType: Your Private Video Hub

TypeType is the self-hosted video platform that finally puts you back in the driver's seat of your own media history. It lets you run a single private instance on your own hardware to watch content from YouTube, Bilibili, and Nico Nico all in one place. The standout feature is how it handles your data. Every account, subscription, playlist, and watch progress stays stored locally on your machine instead of being scattered across different corporate servers. You get a responsive web app and a native Android client that connect directly to this central hub.

🆔 @hackernewsgithubprojects

📦 openartifact/openartifact

One Server, Every Package

OpenArtifact is the self-hosted package server that finally stops you from juggling a dozen different registries. Instead of running separate tools for your Java, Python, and Docker builds, you just spin up this one Go binary. It speaks the native language of twenty-two different package formats, meaning your existing code doesn’t need a single line changed to connect. You get a unified dashboard to manage them all, plus built-in scanning to catch vulnerabilities before they ship. It turns the messy sprawl of your internal infrastructure into one tidy, secure place.

🆔 @hackernewsgithubprojects

📦 herdrdev/herdr-app

Herdr: The Terminal App That Never Sleeps

Keep your terminals running even after you close the window. Herdr is a desktop app that separates your visual workspace from the actual code execution. Normally, closing a tab kills the process, but here, the window is just a lens. You can shut your laptop, walk away, or close the app entirely, and every task keeps humming in the background. This is built for people running multiple coding agents at once. It creates a dashboard that tracks which agents are busy, blocked, or waiting for you. It turns a messy terminal mess into a calm, organized list. If you rely on background processes, this is the upgrade you need.

📰 https://news.ycombinator.com/item?id=50298436

🆔 @hackernewsgithubprojects

📦 stargazerx0/specpilot

SpecPilot: The AI That Builds Faster AI

SpecPilot uses artificial intelligence to design its own software, effectively turning an AI agent into a super-chip tuner that finds hidden speed boosts in large language models. While standard systems often leave performance on the table, this autonomous agent hunts down those gaps and engineers custom optimizations that can more than double the speed of text generation. It achieves this massive speedup without sacrificing any quality or accuracy, which is the real kicker. Instead of relying on guesswork, it tests and verifies every change to ensure the output remains perfect.

🆔 @hackernewsgithubprojects

📦 cappybara12/mcp-use

mcp-use: The AI Content Pipeline

mcp-use is the content pipeline that skips the messy plumbing between your dashboard and your Python code. It lets a React interface and AI assistants like Claude call your backend methods directly without writing a single line of boilerplate. This is the single most interesting thing: it connects your frontend and your AI tools to the same live research and writing engine, eliminating the usual headache of building separate adapters for each one. You get a visual studio to build and watch your article flow from idea to draft in real time.

🆔 @hackernewsgithubprojects

📦 w0ldan/exoproc

Exoproc: Let Your AI Hack Live Windows Processes

Exoproc is the TypeScript toolkit that lets your AI coding agent directly inspect and manipulate live Windows processes without injecting any files. It solves the problem of bridging the gap between high-level code assistants and low-level system memory, allowing agents to read data, hook functions, and execute custom C code inside running applications. The single most surprising feature is its ability to compile C snippets into raw machine code on the fly, enabling your AI to debug native apps in real time.

🆔 @hackernewsgithubprojects

📦 jiongfanyang/specslot

SpecSlot: Smarter Image Generation

A new model called SpecSlot splits image generation into two distinct jobs, allowing it to create stunning pictures while using significantly less computing power than standard methods. Traditional systems treat every tiny part of an image the same way, but this approach separates broad structural patterns from fine details. Only the big picture parts need to talk to each other across the whole image, while the finer textures are handled locally. This clever division of labor means the computer spends its energy exactly where it matters. Researchers from Peking University and SenseTime demonstrated that this method produces high quality results on major benchmarks without the heavy computational cost.

🆔 @hackernewsgithubprojects

📦 renzrollon/interlock

Interlock: One Spec, Many Agents

Interlock is the workflow tool that turns a single spec into parallel agent work. Instead of babysitting one AI assistant, you define a task once, and the system spins up multiple workers to handle it simultaneously. It’s like hiring a whole team of freelancers from one job description. The cool part is that these agents don’t just guess; they verify their work against the original spec before you even see it. So you get tested, ready-to-commit code without the usual back-and-forth. It’s a neat way to make AI coding actually feel like a team effort, not just a chatbot.

🆔 @hackernewsgithubprojects

📦 the-geeky-couldron/waypoint

Waypoint: Game Maps for Real Life

Waypoint is a native Android navigation app that overlays twenty-seven different game worlds onto real streets, letting you navigate London or Los Angeles as if you were driving through Night City or Skyrim. It solves the boring problem of standard grey map apps by giving your actual route a fully custom visual identity, complete with game-specific typography, icons, and even a moving camera that follows your travel. You get spoken directions, turn cues, and rerouting that actually works, all while looking at a map that feels like a video game.

🆔 @hackernewsgithubprojects

📦 evanzhang008/open-walnut

Open Walnut: Your AI Company in a Browser

Open Walnut turns your laptop into a miniature company where AI agents actually manage your work. It replaces the chaos of juggling separate terminal windows with a single web page where a chief agent delegates tasks to specific coding workers. The coolest part is that your coding sessions keep running even if your internet connection drops or your laptop sleeps, meaning you never lose progress. It handles tasks, notes, and long term memory all in one spot. Once you stop babysitting your terminal, you can finally trust the code to write itself. Give Open Walnut a try and see how much faster your workflow becomes.

🆔 @hackernewsgithubprojects

📦 techjarves/portable-local-studio

Portable AI Studio: Your Offline AI Lab

Turn your computer into a private AI lab with Portable AI Studio. This tool runs image generation, text chat, speech transcription, and voice synthesis entirely on your own hardware, completely offline. No cloud, no subscriptions, and no data leaving your machine. It automatically detects your graphics card to speed up processing, so you can generate images or chat with local models right from your browser. The best part is the zero-setup design. You simply run a single script, and it handles the rest. Your data stays yours, and you get a powerful, self-contained creative studio that works on Windows, Linux, or macOS.

🆔 @hackernewsgithubprojects

📦 ryder-sun/meldwork

Meldwork: Let AI Agents Work as a Team

Give a group of AI agents a shared goal and let them figure out the rest. Meldwork is a local desktop app that turns the individual coding tools you already have into a single, collaborative team. Instead of you acting as the middleman, copying answers from one chat to another, these agents talk to each other. They discuss different approaches, divide the work, and even check each other’s results before handing over the final output. This happens entirely on your own computer, keeping your data private while you set the boundaries and make the final calls.

🆔 @hackernewsgithubprojects

📦 huangantimony/hoshi-reader-android

Hoshi Reader: Read Japanese Like a Native

Hoshi Reader is an Android app that turns a standard Japanese ebook into an interactive learning tool. The standout feature is that you can select any word on the screen to instantly see its definition and create a flashcard for the Anki spaced repetition system. This bridges the gap between reading for pleasure and actively studying vocabulary without leaving the page. It also includes text-to-speech that highlights words as it reads, helping you learn correct pronunciation. If you are a Japanese learner using Anki to build your vocabulary, this app makes your reading time count for your studies.

🆔 @hackernewsgithubprojects

📦 s1dashu/quiet-md

Quiet MD: The Notes App That Actually Stays On Your Computer

Quiet MD is the local-first note app that finally gives your writing back to you, built with Rust and a graphics library called GPUI to render directly on your screen without the usual browser engine overhead. The defining feature is that your notes are just plain files sitting in a regular folder on your hard drive, meaning you can use any backup or version control tool you already have without locking in to a specific cloud service. It is interesting because it speaks the same file format as Feishu documents, so you can copy and paste between them while keeping the structure intact.

🆔 @hackernewsgithubprojects

📦 rileyhilliard/rr

Road Runner: Run Tests on Spare Machines

Road Runner takes your code and copies it to spare computers sitting in your house, then runs your tests on those machines instead of your laptop. It solves a weird problem where running tests makes your computer fan spin up and drain your battery, while older machines in the corner sit doing nothing. The tool picks a free computer, sends your code there, and streams the results back so you can keep working without waiting. It even splits your test suite across multiple machines so they run at the same time, which makes the whole process finish much faster.

🆔 @hackernewsgithubprojects

📦 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.

🆔 @hackernewsgithubprojects

📦 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.

🆔 @hackernewsgithubprojects

📦 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.

🆔 @hackernewsgithubprojects

📦 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.

📰 https://news.ycombinator.com/item?id=50362464

🆔 @hackernewsgithubprojects

📦 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.

🆔 @hackernewsgithubprojects