
BuildAI — Create Your Own AI Employee in 60 Seconds (No Code)
快速从网站创建 AI 员工,24/7 处理聊天、来电、邮件和预订线索。
@Nathaniel148600 · X
BuildAI — Create an AI employee from your website in under a minute. And deploy it as a Widget, API, or AI phone agent.
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快速从网站创建 AI 员工,24/7 处理聊天、来电、邮件和预订线索。
@Nathaniel148600 · X
BuildAI — Create an AI employee from your website in under a minute. And deploy it as a Widget, API, or AI phone agent.

AI 团队工具,帮助创作者构建和部署应用
@daogangtang · X
my claw team to help creators/OPC ship their app without the tech team. We help them build, deploy, and auto scale.

用可视化编辑器设计、测试和发布AI就绪的API。
@milonspace · X
A specification nobody can find is functionally the same as no specification.

用 AI 根据提示生成表单,可视化定制,内置数据分析。
wephora · Product Hunt
Wephora Build Smarter Forms with AI

在统一界面编写、模板化并启动跨多个AI平台的提示词。
@promptboxxx · X
Have all your AIs in one place and never repeat a prompt

用简单英文描述业务自动生成定制商务软件,包含数据库、仪表板和自动化。
@knutmt · X

AI agent with its own cloud computer that automates tasks like running code and sending emails across Slack and Telegram.
@ankushKun_ · X
Hi, we're building @use_construct , an autonomous cloud comouter that works for your business.

输入提示词让AI代理自动生成、测试和部署移动应用与网站代码。
@f_lecroissant · X
building apps for business on

免费用AI聊天快速构建网站、移动应用、游戏和内部工具。
@Swapnil1256 · X
Try building your products on (AI App Builder) it's completely free!! @ideavo_ai

单一工作区,集 AI chat、resume builder、job matcher 和 website creation 工具于一体。
@multiai23 · X
🚀 MultiAI is LIVE! Start your FREE 7-day trial today! One platform. Multiple AI models. 📷 Access powerful AI tools from a single workspace. 📷 Code faster. 📷 Write better. #Claude #Gemini #live

扫描任何网站,显示AI助手爬取时所看到的内容。
builderwrench · HN
Show HN: Free tool that shows what AI assistants see when they crawl your site

用自然语言问题查询电子表格和数据集,生成即时答案、报告和仪表板。
u/maybeImakemoney · Reddit
I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav