@EcoSEOone · X

@jrzscodes · X

Have you seen

@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

rakibtg · HN

Hey HN, the maker here. I built Prijm.com because I wanted something like a cross between Reddit and the simplicity of Hacker News, where you can follow tags like #OpenAI or #AI [1] the way you'd follow a subreddit, but ranking is based on favorites/comments rather than a hidden algorithm Right now it has a very small user base and a few posts, so it's small and early. One thing I'm actually proud of is the threaded, markdown commenting system. I put a lot of work into it. Unfortunetly, there is

tosief · HN

GeoImageTagger – AI image geotagging and metadata editor

@laminemansour_ · X

Building Voxgrow SaaS that monitors Reddit & X to find people already asking for your solution, then drafts contextual replies for you to validate. No cold outreach to random people. Just warm leads on autopilot.

@heyshubhamchugh · X

Check out 👋 An easy Instagram Auto DM tool for creators, coaches, and businesses to automate replies and capture more leads.

zxhywork · V2EX

Muse Image AI Meta Superintelligence Labs 7 月 7 号发布了他们第一个图像模型 Muse Image ，内部代号 Mango 。玩了两天，这个模型有几个点确实有意思： - **Agentic 生成**：出图前先规划布局，需要事实的场景会联网搜，画完自查一轮再交稿，长 prompt 一次过的概率明显高 - **图内文字能看了**：海报标题、图表、甚至可扫的二维码都能直接画进图里，这是大部分生图模型至今糊掉的地方 - **多参考图合成**：从几张照片里分别取人脸、服装、产品、背景，融成一张不违和的图 官方入口在 Meta AI App / meta.ai / Instagram Stories ，国内用着别扭，还得装 App 。我就照着上一个站的路子做了个纯网页版：[museimages.io]( https://museimages.io/)。 产品上砍得很狠，只做图像，三个入口： - [Meta Muse Image 在线生成器]( https://museimages.io/ai-image-generator)

@jackson_saas · X

mekery · V2EX

我开源了一个 AI 电子书阅读器，欢迎大家体验 Hi V 友们, AI 时代，搭建自己的知识库非常有必要，我想把笔记、阅读和 AI 回答集成在一起，不断完善知识的积累和系统化，因此做了这款阅读器。 ## 整体预览  ## 阅读 ### 书架  ### 阅读视图   ### 目录、书签、高亮、注释和 AI  ###

@OngDevLab · X

@a_shimanski · X

Post Formatter, a browser extension for LinkedIn and X. 30+ text styles in the editor and a live preview before you publish → Happy to check yours out 🤝