
IntelBrief — Competitive Intelligence for B2B SaaS
每周自动追踪竞争对手的定价、功能和消息变化。
@Caden1Fenn · X
Intel Brief — tracks what your competitors change (pricing, features, positioning) and delivers it to your inbox weekly. Built for indie SaaS founders.
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每周自动追踪竞争对手的定价、功能和消息变化。
@Caden1Fenn · X
Intel Brief — tracks what your competitors change (pricing, features, positioning) and delivers it to your inbox weekly. Built for indie SaaS founders.

用AI为电商店铺生成SEO标题、描述和元标签。
@EcoSEOone · X

使用CraftVis生成和编辑图像,制作产品照片和社交内容。
Samlion · HN
I built CraftVis, an AI image editor

AI驱动的免费平台,帮助创业者通过工作流、CRM和提案启动和运营英国业务。
@FasScale26 · X
We've created a platform for entrepreneurs to evaluate business ideas and to set up and run their businesses. We've launched it in the UK and are planning to roll out to other countries over the coming year.

通过与AI对话创建和部署网页应用的平台。
ceritium · HN
I built a kind of paas for llms, the idea was to allow my family deploy webs cheap and easy, my family doesn't use It, but It end being very useful form mento deploy small apps. You can check It out on https://onvibe.run there is a list of forkable apps that I use. I did some kind of meta thing, because bownI can create apps with llm (like Claude) and expose an mcp on theme (like the notes and todolist apps).

Linguo AI 网站管理和优化助手仪表板。
@SyedHuz61085101 · X
Please visit to see my work. Thank you.

免费阅读财务电话会议记录,或通过 REST API 和 MCP server 访问
@RobGuerra90 · X
Building : access earnings call transcripts via a cheap API or MCP server. Pull any company's call right into your workflow.

为 AI 代理的表单提交后端服务。
@gonelf · X
So many things - dead simple way to share projects within your team - dead simple base - no backend forms - ez directory submissions - a Lego event

通过 AI 辅助写作,从 API 规范和文档生成品牌化的开发者门户
@jitendraballa · X

用AI快速生成并电子签署商业提案。
@Yogeswar__ · X
Hey, I recently created a saas for Freelancers. Website : Demo-vedio: Any feedback ? Mailto : [email protected]

使用在微虚拟机中运行代码的AI代码审查来捕获更多漏洞。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

使用AI设计移动应用界面,导出HTML、设计令牌和代码。
@9to5_Dad · X
Ai mobile app ui designer with taste