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ClawMaven — The Governance Intelligence Layer for AI Agents
ClawMaven — AI 代理部署治理层，支持设计和验证
@paulrodturner · X
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ClawMaven — AI 代理部署治理层，支持设计和验证
@paulrodturner · X
Create AI workers that connect to real systems, use trusted knowledge, and run locally, through CLI and MCP, or on AgentMug Cloud.
@AbdullahDahshan · X
与团队和AI代理在一个工作空间中构建、验证和发布软件。
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
在推出前对AI产品进行AI辅助扫描。
shahzar_shad · Product Hunt
Launchieve Launch your AI-built product with fewer surprises
上传 AI 项目代码，自动化开发规划、部署和生产集成。
Haven — vibe coding 部署平台，上传 ZIP 或连接 GitHub/Gitee，AI 梳理需求并补齐支付、多用户、日志安全、运维等环节，一天内交付可对外服务的产品
Img-Forge：通过 REST API 和 11 个 AI 模型生成图像。
u/texo_optimo · Reddit
I got tired of leaving claude code for image assets so I made Img-Forge - a remote txt2img MCP, API SoloDev here (doing this outside of my 9-5); I've decided to start shipping instead of remaining in a state of perpetual build. I'm shipping the tool I use most in my own work: Img-forge. Link is here but I have a Product Hunt listing for it here. There is a small free tier to check it out. Stackbilder.com is the platform UI; but Easiest way to get your agent working with it is via mcp
The simplest way to deploy, manage, and scale AI agents. Sleep/wake micro-VMs and flat plans that work out to $1 per agent per month. Push your code, get a live API endpoint.
mariagorskikh1 · HN
Maritime, a platform for running AI agents for $1 a month
Rightsize OpenAI and Anthropic models. See what drives your AI bill, then validate cost-efficient model changes without rewriting your application.
@SpendLensAI · X
Every token your team spends on AI coding agents, attributed to the builder who spent it and the pull request it shipped. Harness-agnostic, local-first capture. Open source.
@RuffinelliMarco · X
Would love to see you on the board.
在 Slack、Teams、WhatsApp 和 Discord 中部署 AI 员工自动化工作。
@Cyndra_ai · X
Agent原生的TypeScript框架，在托管GPU上训练和部署定制模型。
@soleil_colza_ · X
查找与您硬件兼容的AI模型并查看性能和价格估计。
cdnsteve · HN
Tokenstead, find AI models for your hardware