Agoreddah · HN

I built Gnoseed – free flahscards to learn K8s, DevOps, AI and more

@SeagerCortez · X

@CoderLuii · X

A machine for your coding agents.

u/OGMYT · Reddit

Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte

u/EagleApprehensive · Reddit

I've made an IDE. I built intentic.dev , a free IDE that runs self-hosted on your hardware in docker - can be easily shared with coworkers and deployed on servers. It's not for you! It's a home for agents, you're just a guest there so behave. Comes with cool stuff for AI powerusers - token saving mechanisms, codebase indexers, healthiness checkers - helps you keep the code manageable. Can connect to stuff as well. And if you're crazy you can even add widget to your produc

@NexusAiForum · X

u/medialantern · Reddit

Would you use a brainstorming/planning/ideation tool for side projects? This is not a new idea, and I know we see posts about something similar about once a month. I do think I took it farther than others I've seen, but either way I'd still be interested in feedback on this one. Backstory: I've been building side projects with AI a lot (who hasn't?) and I realized that over the past year I've gravitated toward a very structured approach for building new ideas. I define it, research competit

@nexusai_apps · X

@paulrodturner · X

@hijak01 · X

check out the demo

rohanrecommends · Product Hunt

Nautis The AI-native Operating System for founders.

@BobbySBX · X

We just dropped Assay v0.2.6, the open source evaluation engine powering Most registries judge an AI tool by its README. We built Assay to actually run skills, MCP servers, and plugins inside isolated sandboxes with live models to observe what they do before you install them. What is new in v0.2.6: - NVIDIA API Catalog provider: Native support is here, allowing you to use NVIDIA driver and judge models to run behavioral benchmarks and multi-tier audits. - Zero runtime dependencies: Still a self-contained ~240 KB tarball that speaks directly to @nvidia , @AnthropicAI , @OpenAI , @OpenRouter , and local HTTP endpoints without SDK bloat. - Adversarial and static checks: Out of the box verification against prompt injection, tool scope creep, destructive shell commands, and supply chain drift. Every tool on is tested through Assay. That means 4,200+ skills, MCP servers, and plugins are commit-pinned, graded on actual runtime behavior, and rea