
Linguar: Global Language Exchange Community & Forum
与全球语言伙伴交流,通过对话练习和AI支持学习新语言。
carl_norson · Product Hunt
Linguar Language exchange with real people — and AI on your side
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与全球语言伙伴交流,通过对话练习和AI支持学习新语言。
carl_norson · Product Hunt
Linguar Language exchange with real people — and AI on your side

Lumi Language:AI 语言导师,为搬家者创建实用短语,可按地点和交谈对象定制。
u/6frozenmango8 · Reddit
Looking for feedback/testers on my new website Hey! I created LumiLanguage – an AI-based language tutor designed specifically for people who are on-the-go. You tell it your reasons for learning the language – place, date, who you will speak to. It creates a course based on this information: housing, town hall, clinic, neighbors, work, education. Ten languages from English. Zero cost to try out, no trial period. One individual at work with software. Please test it out and DM me if you ar

Easily translate your website with Universally. Automate multilingual content, optimize SEO, and reach a global audience without complexity.
@syedbalkhi · X

SochoBanao hai free AI website, app & game builder. Sirf apna idea type karo — Hinglish, Hindi, Urdu, Nepali, Bengali ya English mein. 60 seconds mein ready website download karo.
@sochobanao · X
SochoBanao Turn an idea into a working website, web app, browser game or digital product — without starting from scratch. 🎯 Built for founders, freelancers, creators & builders who want to go from idea → working product faster. 🔗

接听电话、预订约会、集成CRM和日历的AI语音代理。
@Clickfonede · X
We‘re building - an AI Voice Agent Plattform for Europe

支持15+编程语言、云工作区和编程面试工具的免费在线IDE。
aashhuttossh · HN
Codeground – run and share code in the browser

实时翻译管理 WhatsApp 和 Telegram 对话,支持 200+ 种语言。
TranAI — 聚合海外主流应用的多开翻译器,支持沉浸式翻译、有道/百度/Google/DeepL/ChatGPT 等翻译通道和 AI 智能回复


English Daily是免费AI英语学习平台,包含听、说、读、写练习。
English Daily — AI 每日英语学习平台

通过 Vocab Top 的 AI 生成视觉助记、语境翻译和发音指南掌握词汇。
LandoLorinse · HN
Vocab Top – AI-powered vocabulary builder that helps you retain words

将自然语言描述转换为生产就绪的后端API和服务
u/yousefemz · Reddit
18 months ago we weren't sure it was possible. Today we launched it. We kept asking ourselves one question for a year and a half: can an AI actually design a scalable backend from a description of how it should behave, not demo-ware, something that holds up in production? We didn't know. Some weeks it felt like the answer was no, or that we'd end up with code that looks right and falls apart the second real traffic hits it. We just launched it. You describe how your backend should behave,