So I ve been working on a deb package as part of a project I ll be launching here shortly, and I couldn t help but notice how spoiled I ve been by live reloads of the client and server code from my time in web dev. Package maintainers, some of the most foundational parts of our community, are languishing. That s why I took a break to build Boxer, a Claude Code plugin that lets you live-reload and e2e test your packages in a configurable VM during development, with log and testing data pumped back into Claude from the VM to keep you chugging away with no copy/pasting. It s been HUGELY useful for me in the development of my own project(coming soon) and I hope someone on here finds it useful too: https://github.com/araujota/boxer
Most games today are built with a "Human-First" UI. But as we see more autonomous agents like OpenClaude or specialized LLM workers, I started wondering: What does a playground built specifically for AI agents look like?
This led to SACAS (https://sacas.ai) which we're calling a "Provisioning shell for AI agent."
It s a strategy game mapped 1:1 to real-world internet infrastructure. Instead of just clicking buttons, the goal is to have AI agents navigate real latencies, routes, and nodes to compete.
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Hi everyone, Olivia Martinez here. As we look toward the future of family safety, parents are faced with more choices than ever. The core question is no longer just "Should I use technology for safety?" but "What kind of technology is right for my family?" The modern toolkit primarily offers two paths: the versatile, app-based tracker on a smartphone, or the focused, dedicated GPS device. Let s break down the pros, cons, and ideal use cases for each to help you build your 2026 safety strategy.
Most professionals don t stall on AI because of the models they stall because they don t know when to trust what the model is saying.
There s a growing AI confidence tax :
You ask an AI a medical, legal, or financial question, then spend more time double checking than the AI saved you. Each model (GPT, Claude, Gemini, etc.) can sound very confident even when it s wrong or hallucinating. For doctors, lawyers, and engineers, a single wrong answer can mean real risk, so many end up not using AI at all or only for trivial tasks.
I m building Slidez, an AI-powered shopping app that lets you try outfits virtually before buying. I started this because I always struggled to know how clothes would actually look on me when shopping online.
With Slidez, I can ask AI to style me for any occasion, generate full outfit ideas, and seamlessly share products from Instagram, Chrome, or any shopping app to try them on instantly.
I just shipped a new version with Generate Try-On, smarter AI styling, and a smoother onboarding flow. Would love feedback from other builders on how AI can make online shopping feel more real. App link- https://apps.apple.com/us/app/sl...
I'm thrilled to share RandomSong with you all your new gateway to unexpected music discovery!
Tired of algorithms feeding you the same old tunes? Craving that spark of genuine music serendipity, where you stumble upon a track that instantly becomes a new favorite? That's exactly why we built RandomSong.
Hey everyone I m a solo founder and recently launched a small SaaS on Product Hunt.
The problem I was personally obsessed with: YouTube creators get a lot of comments but most insights are buried under noise. People scroll endlessly, reply randomly, and still miss what viewers are repeatedly asking for.
