生产力3 days ago
Tacit — Your AI Second Brain
将URL粘贴到Tacit，AI会转录、总结并在画布上连接相关内容。
@trytacit · X
Building TACIT to stop stop saving and start applying
完整作品展
技术栈
60 projects
将URL粘贴到Tacit，AI会转录、总结并在画布上连接相关内容。
@trytacit · X
Building TACIT to stop stop saving and start applying
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.
Stateful AI 伙伴，从交互中学习，可自主完成任务或与你一起协作。
@cyrus_zad · X
与AI助手PHANTOM聊天，获得写作、编码和创意帮助。
@AnwarAtuma · X
Check out what I just built with Lovable!
Lotus 是一款 AI 设计工具，快速生成精美网站和生产级前端。
@ayushrout2012 · X
vibe coding an ai frontend designer
连接AI专业人士和研究者的社区，分享知识、发现小组并构建AI职涯。
@NexusAiForum · X
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.
Cricket AI：输入网址获得网站审计、30天营销策略和每日内容文案。
@ahntany · X
Good to see you:) I'm working on ai marketing tool :
部署理解业务逻辑的AI智能体来自动化企业工作流和统一知识。
@kr812345 · X
enterprise ai orchestration platforms to automate using tools. @
用AI自动化营销：生成潜在客户、撰写文章、自动生成报告。
u/ApprehensiveRush8079 · Reddit
How I've gotten 1.5M reddit views and thousands of users across every product I've launched I've launched 8 products in the last 18 months and I'm now building a marketing tool full time. Along the way lovable invited me out to their HQ at 18 to demo one of them, I've run growth for a YC backed company, and got into Antler. But none of that is the point. The point is that most people assume the products that got traction had some secret in the product itself. They didn't. The product barely
在文本、图像、视频和音频中检测AI生成的内容。
@aicontentmeter · X
🚀 I just launched It's free to try, and I'd love your honest feedback. Use code JULY20 to get 20% off the Pro plan throughout July. What would you improve or add? Every suggestion helps! #BuildInPublic #AI #ChatGPT #SEO
用于构建网站、编写代码和处理复杂任务的 Agentic AI 助手。
@durdom_evm · X
Chinese team at just dropped ZCode 3.0 and it's quietly reshaping the agentic coding landscape while everyone's waiting on Anthropic's roadmap here's what matters: GLM-5.2 is trading blows with Opus 4.8 on the benchmarks that actually count. 81.0 vs 85.0