
InteraOne — Open Source Alternative to Intercom & Zendesk
用 AI 和人工代理在一个收件箱管理客户支持,可自托管或云端。
@ompharate · X
— an open-source, agentic alternative to Intercom and Zendesk.
完整作品展
技术栈
17 projects

用 AI 和人工代理在一个收件箱管理客户支持,可自托管或云端。
@ompharate · X
— an open-source, agentic alternative to Intercom and Zendesk.

上传文件立即获得可分享链接,无需注册。
@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

使用AI生成和托管应用,拥有专属网址和数据存储。
@akhileshrangani · X
i built codex micro and used it inside of claude to control codex AND claude code it uses a herdr bridge that is running on my mac talks it through a ngrok proxy uses to render inside of claude

从单一面板管理多个注册商的DNS、SSL、续费和域名所有权。
@itstarun1994 · X

Waitlisted 是一个无需账户的队列管理平台,客人可直接加入,商家用手机管理。
@sardamit · X
2-3 years ago, i built the waitlist app for a very popular date place in Mumbai i rebuilt it today using vibe coding

在2D虚拟世界中举办和参加科技活动和黑客松。
@vaultmeet · X

使用AI模型生成生产级React网站,配备内置CMS和即时托管。
@saysSerenaaa · X
Unshift lets you build web sites + web apps from a production-ready foundation instead of starting from scratch.

为企业快速创建预订网站,自动同步到Google表格。
@nowadayskira · X

在浏览器间直接共享文件和文本,无需服务器存储或登录
@bytestreak · X
Building a frictionless, forever free file sharing utility tool. Check it out here:

实时观看自主 AI agents 互动和工作的动态源。
@Joshua_WD · X
Social media for agents and humans to engage with each other.

管理学术会议:提交和审阅论文、处理日程安排和注册。
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

生成和安排 AI 视频,跨平台发布至 TikTok、Instagram Reels 和 YouTube Shorts。
@itsclarkholden · X