🔊 Can Your AI Call Out Nonsense?

📦 petergpt/bullshit-benchmark
This repository is a benchmark for testing whether AI chatbots can recognize nonsense questions and push back instead of confidently making things up. It provides a curated set of intentionally bogus prompts (like mixing unrelated business, science, or technical terms), scripts to run many models against them, and a scoring system that grades whether each model clearly challenges the bad premise. The results can be published into a simple viewer and leaderboard for side-by-side comparison. It solves a real trust problem: models often sound helpful even when a question is incoherent. That makes this project useful for evaluating model reliability, safety tuning, and product choices.
🔗 https://github.com/petergpt/bullshit-benchmark
📰 https://news.ycombinator.com/item?id=47151505
📢 @hackernewsgithubprojects

🔊 Turn Your Browser Into an AI-Powered Automation Assistant

📦 browserwing/browserwing
BrowserWing is an app and toolkit that helps people automate Chrome/Chromium through a local web interface, simple APIs, or AI assistants. Instead of repeating the same clicks, page visits, form filling, or data collection by hand, you can record a browser workflow once and replay it later. It also supports conversational commands and structured data extraction, which lowers the barrier for people who do not want to write much code. This is useful for repetitive research, website testing, page monitoring, and routine business tasks because it combines visual recording, browser control, and reusable integrations in one place.
🔗 https://github.com/browserwing/browserwing
📰 https://news.ycombinator.com/item?id=47151607
📢 @hackernewsgithubprojects

🔊 AI Helpers for Airflow, in One Toolkit

📦 astronomer/agents
Astronomer’s agents repository is an open-source toolkit that adds practical AI help to data engineering work, especially for Apache Airflow (a popular system for scheduling data jobs). It combines ready-made “skills” for coding assistants, an Airflow connector/server, and a simple terminal tool so people can inspect pipelines, trigger runs, check logs, and work with data warehouses without jumping across many tools. The main problem it solves is setup friction: AI assistants often lack the right context or safe ways to interact with data systems. This repo gives them structured access and repeatable workflows, which makes debugging, building, and maintaining data pipelines faster and easier.
🔗 https://github.com/astronomer/agents
📰 https://news.ycombinator.com/item?id=47151588
📢 @hackernewsgithubprojects

🔊 One Dashboard to Run Your Django App

📦 yassi/dj-control-room
Django Control Room is an open-source add-on for Django (a popular Python web framework) that creates a single “control room” inside the site’s admin area. Instead of jumping between separate tools to check things like cache data, Redis, background jobs, or URL routes, teams can use one dashboard and add panels for the tasks they need. It solves the problem of scattered admin and maintenance tools, which can slow down troubleshooting and routine operations. The plug-in approach also makes it flexible: you can start with a few panels and expand later. It’s useful because it saves time, improves visibility, and reduces custom admin work.
🔗 https://github.com/yassi/dj-control-room
📰 https://news.ycombinator.com/item?id=47151995
📢 @hackernewsgithubprojects

🔊 Build Your Own AI Workflow Engine

📦 strongdm/attractor
Attractor is a blueprint repository that explains how to build an AI-powered workflow system and coding assistant loop, rather than a finished app you install and run. It focuses on describing the architecture, data formats, and execution flow for complex tasks that need multiple steps, decisions, and retries. The problem it solves is the mess of one-off scripts and hard-to-maintain automation when teams try to connect AI tools together. By providing clear specifications and examples, it helps developers create systems that are easier to visualize, test, extend, and adapt to different AI providers or internal tools.
🔗 https://github.com/strongdm/attractor
📰 https://news.ycombinator.com/item?id=47152719
📢 @hackernewsgithubprojects

🔊 A Database That Also Runs Your App

📦 clockworklabs/spacetimedb
SpacetimeDB is an open-source project that combines a database and backend server into one system for building real-time applications. Instead of splitting data storage, server logic, and live updates across different tools, developers can keep the app’s rules close to the data and connect clients to a single platform. It helps solve a common problem: products like multiplayer games, chat apps, and collaborative tools are often hard to build, sync, and scale. By reducing moving parts and handling fast shared updates, SpacetimeDB can make development simpler, cut backend complexity, and help teams ship interactive software faster.
🔗 https://github.com/clockworklabs/SpacetimeDB
📰 https://news.ycombinator.com/item?id=47152859
📢 @hackernewsgithubprojects

🔊 Make Any Devices Feel Like They’re on the Same Network

📦 zerotier/zerotierone
This repository contains the code for ZeroTier One, software that creates secure virtual networks over the internet. It lets computers, phones, servers, and devices in different places connect as if they were plugged into the same local network, without the usual VPN setup headaches, router changes, or fragile workarounds. ZeroTier helps solve remote access and private networking for home labs, small businesses, distributed teams, and apps that need device-to-device communication. It is useful because it combines simple joining and management with end-to-end encryption and direct connections when possible, making private networking easier to deploy, scale, and maintain across many kinds of devices.
🔗 https://github.com/zerotier/ZeroTierOne
📰 https://news.ycombinator.com/item?id=47153012
📢 @hackernewsgithubprojects

🔊 Orca Turns LinkedIn Activity Into Clear Insight

📦 dimimikadze/orca
Orca is an open-source web app and reusable Node.js library that uses AI to analyze a LinkedIn profile in depth. Instead of relying only on a profile page or resume, it collects activity data such as posts, comments, reactions, and engagement patterns, then turns that information into structured insights you define, like interests, expertise, priorities, communication style, and how someone’s focus changes over time. This is useful for sales, recruiting, and investing because it helps people understand someone faster and prepare better outreach or decisions. It saves time by automating a research task that is usually slow, manual, and easy to miss details in.
🔗 https://github.com/DimiMikadze/orca
📰 https://news.ycombinator.com/item?id=47153615
📢 @hackernewsgithubprojects

🔊 Ask France’s Open Data Like a Chat

📦 datagouv/datagouv-mcp
datagouv-mcp is an open-source connector that lets AI chatbots talk directly to data.gouv.fr, France’s national open data website. Instead of manually searching pages, downloading files, and figuring out which dataset or API to use, a person can ask questions in plain language and the chatbot can search datasets, list files, pull dataset details, preview data rows, and inspect public APIs. It also supports usage metrics for datasets and resources. This is useful for journalists, students, researchers, and public servants because it makes public data faster to find and easier to explore through everyday chat tools like ChatGPT, Claude, VS Code, and others.
🔗 https://github.com/datagouv/datagouv-mcp
📰 https://news.ycombinator.com/item?id=47151805
📢 @hackernewsgithubprojects

🔊 LadybugDB: Fast Graph Data, No Server Drama

📦 ladybugdb/ladybug
Ladybug is an open-source graph database, which means it stores information as connected items (people, products, events, relationships) and helps apps ask questions about those connections quickly. Unlike many databases that require a separate server, Ladybug can run directly inside your app or from a simple command-line tool, making setup easier and cheaper. It is designed for large datasets and heavy analysis, with built-in features for text search, vector search, and reliable transactions. This is useful for teams building data-rich products, recommendations, fraud checks, knowledge tools, or AI assistants that need fast answers from complex connected data.
🔗 https://github.com/LadybugDB/ladybug
📰 https://news.ycombinator.com/item?id=47153728
📢 @hackernewsgithubprojects

🔊 A Fast Message Bridge for .NET Apps

📦 nats-io/nats.net
NATS .NET is an open-source C#/.NET library that lets apps connect to a NATS message server, a system used to pass information between services and devices. Instead of wiring every app directly to every other app, developers can send messages through NATS, which makes systems easier to scale, update, and keep running. This repository provides the .NET tools for common jobs like publish/subscribe messaging, streams, key-value storage, and service-style communication. It is useful for teams building modern apps because it helps different parts of a system talk reliably and quickly, from cloud services to edge devices.
🔗 https://github.com/nats-io/nats.net
📰 https://news.ycombinator.com/item?id=47154674
📢 @hackernewsgithubprojects

🔊 Manim in Your Browser, No Setup

📦 maloyan/manim-web
manim-web is a browser-based playground for creating math and science-style animations with Manim, a popular animation tool. Instead of installing Python, video tools, and a complex setup on your computer, you can write code, render animations, and preview results directly in a web page. It includes a code editor, examples, and export options, which makes it easy to test ideas quickly and learn by experimenting. The main problem it solves is setup friction, which often stops people before they begin. It is useful for students, teachers, and curious creators who want visual explanations or demos without spending time configuring a local development environment first.
🔗 https://github.com/maloyan/manim-web
📰 https://news.ycombinator.com/item?id=47155375
📢 @hackernewsgithubprojects

🔊 Woxi: Wolfram-Style Math Without the Bloat

📦 ad-si/woxi
Woxi is an open-source tool that runs a version of the Wolfram Language (the language used by Mathematica) with a focus on speed and easy access. It lets people write and execute math-heavy scripts from the command line, use it in Jupyter notebooks, or even try it in a web demo. It solves a common problem for learners, hobbyists, and developers who want Wolfram-style scripting without slow startup times or licensing friction. That makes it useful for quick experiments, teaching, automating calculations, and interactive notebook work when you want a lighter, faster setup.
🔗 https://github.com/ad-si/Woxi
📰 https://news.ycombinator.com/item?id=47155526
📢 @hackernewsgithubprojects

🔊 Find Copy-Paste Code Fast

📦 mibk/dupl
Dupl is an open-source command-line tool that scans Go projects and finds duplicated code blocks (code clones). It helps solve a common problem in software projects: copy-pasted logic that spreads bugs, makes updates harder, and increases maintenance work because the same fix may need to be applied in multiple places. Dupl compares the structure of code, so it can spot repeats even when names or numbers are changed. That makes it useful for cleanup, refactoring, code reviews, and improving code quality. It can search whole folders, adjust how strict matching is, and output results in formats that are easy to read or process.
🔗 https://github.com/mibk/dupl
📰 https://news.ycombinator.com/item?id=47155460
📢 @hackernewsgithubprojects

🔊 The Engine Behind the XRP Ledger

📦 xrplf/rippled
`rippled` is the open-source server software that powers the XRP Ledger, a shared network for payments and digital assets. It lets companies and independent operators run a node that connects to other nodes, checks transactions, and helps keep the ledger synchronized without depending on one central company or database. In simple terms, it solves the problem of keeping a trusted, up-to-date record of transfers, balances, and exchanges across a global network. Because the code is public and configurable, developers, exchanges, and infrastructure teams can build services on XRP Ledger, verify activity for themselves, and run payment or data systems with more transparency and control.
🔗 https://github.com/XRPLF/rippled
📰 https://news.ycombinator.com/item?id=47155753
📢 @hackernewsgithubprojects

🔊 Put Claude Code on Autopilot

📦 jshchnz/claude-code-scheduler
Claude Code Scheduler is a plugin that lets people schedule Claude Code tasks in plain English, like “review my code every weekday at 9am” or “run a reminder tomorrow.” It solves the problem of having to remember repetitive checks, reviews, and maintenance jobs or keep Claude open to run them manually. The tool connects those requests to your computer’s built-in scheduling system, runs the task at the right time, and saves logs so you can see what happened later. It is useful because it turns routine coding work into reliable automation, helps teams catch issues earlier, and saves time for higher-value work.
🔗 https://github.com/jshchnz/claude-code-scheduler
📰 https://news.ycombinator.com/item?id=47155833
📢 @hackernewsgithubprojects

🔊 A Playbook for Smarter AI Agent Skills

📦 mgechev/skills-best-practices
This repository is a practical guide for people building “skills” (task-specific instruction packs) for AI agents. It explains how to organize a skill folder, write clear metadata so agents pick the right skill, keep instructions short to save context space, and move repetitive work into small scripts. It also includes a validation workflow: testing descriptions, simulating agent behavior, probing edge cases, and refining the skill structure. The problem it solves is unreliable or bloated agent skills that trigger at the wrong time or miss important steps. It is useful because it turns trial-and-error into a repeatable process for making agent skills more accurate and maintainable.
🔗 https://github.com/mgechev/skills-best-practices
📰 https://news.ycombinator.com/item?id=47155888
📢 @hackernewsgithubprojects

🔊 Tree-sitter for Go, Minus the C Headaches

📦 odvcencio/gotreesitter
gotreesitter is a Go library that helps software understand source code, making it useful for editors, linters, search tools, and other developer apps. It re-creates the Tree-sitter parsing engine in pure Go, so teams do not need C libraries or a system compiler to build or run it. That solves a common setup and portability problem, especially when shipping tools across different environments or to WebAssembly. It can reuse existing language grammars and supports fast re-parsing after small edits, along with features like syntax highlighting, code queries, and symbol tagging. In short, it makes code-aware features easier to build and deploy in Go.
🔗 https://github.com/odvcencio/gotreesitter
📰 https://news.ycombinator.com/item?id=47155597
📢 @hackernewsgithubprojects

🔊 One CLI, Many AI Coding Teammates

📦 bradygaster/squad
Squad is an open-source command-line tool that helps developers run a “team” of AI coding assistants together, including GitHub Copilot Coding Agent, OpenAI Codex CLI, and Claude Code. Instead of switching between tools by hand, it sets them up, coordinates their work, and combines their output while you code in your own project folder. It solves the problem of managing multiple AI helpers and gives you a repeatable workflow for planning, building, reviewing, and comparing results. This is useful for faster experimentation, better code quality checks, and learning how different AI tools approach the same task.
🔗 https://github.com/bradygaster/squad
📰 https://news.ycombinator.com/item?id=47157294
📢 @hackernewsgithubprojects

🔊 3D Scenes, Right in Your Terminal

📦 buildoak/tortuise
Tortuise is an open-source tool that lets you view 3D scanned scenes inside a terminal window using text-like symbols and color. It reads common Gaussian splat files (a modern way to store detailed 3D captures) and gives you keyboard controls to move around the scene. The main problem it solves is access: most 3D viewers need a full graphics app and a decent GPU, while Tortuise is designed to run on the CPU and work in ordinary terminals, even on modest hardware. That makes it useful for quick previews, demos, remote sessions, and anyone who wants a lightweight, surprisingly capable way to explore 3D content.
🔗 https://github.com/buildoak/tortuise
📰 https://news.ycombinator.com/item?id=47151927
📢 @hackernewsgithubprojects