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@Dusyantkmr I’m building SamoGram — a multilingual chat app that lets people chat, connect, and collaborate across languages with real-time translation built into the conversation.
@SammySmart07 · X
I’m building SamoGram — a multilingual chat app that lets people chat, connect, and collaborate across languages with real-time translation built into the conversation. We’re live and looking for early users 🚀 👉 Would love to get your thoughts!
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
An MCP memory server whose entity-graph spreading recall reassembles the chain of facts a vector store can't reach. On cross-vocabulary multi-hop questions a single vector lookup s
ihamilton7 · HN
Cogni: MCP memory for LLMs, with no LLM in the retrieval path
AI语音教练用8种语言进行面试，评估答案并提供准备度报告。
@7ggx45 · X
Check out what I just built with Lovable!
ReelSpeak — 用短视频学外语。
@Userfree · X
我以前是搞用户体验的，我也做了一个自己的用的语言学习工具 AI 帮自己编程，就我以前是搞用户体验的，我也做了一个自己得用的工具。我感觉有了 AI 帮自己编程就很爽了，再也不用求程序员、求设计师了，哈哈
免费AI转录,支持22种印地语和19种全球语言及本地文字。
@opjhabuilds · X
Transcribe any and every audio or video you have, and make it part of your AI brain and knowledge memory.
实时AI演讲教练，提供即时反馈以改善您的演讲和表达能力。
shezhang2001 · HN
Hi HN! I'm Sheryl, founder of Altura ( https://www.altura.coach ). I've been a tech executive for close to 30 years. I'd worked on my communication throughout my career. I read books, take courses, put effort in every important meeting, but the progress was terribly slow. Then I read a transcript of myself in a job interview, filler words ("you know", "like") burst in clusters throughout the meeting. I had no idea that I was saying them. Filler was just one issue that I worked on. I had plenty o
连接你的数据库，用自然语言提问获取SQL、图表和数据洞察。
canmeng · V2EX
Vibe 了一个 Agent 桌面端 https://datyo.ai 欢迎试用
通过种植路径和掷骰子来创作语言字段。
@whatinthefkinfk · X
just a link, minimal startup needed
开源Markdown文档框架，内置AI助手回答文档相关问题。
u/jm_ka · Reddit
SmartDocs - open-source docs framework with AI chat; just add your API key. SmartDocs is an open-source Markdown documentation with built-in AI chat. The pitch: write docs in Markdown, add your API key to .env, and every page gets a grounded AI assistant. Self-hosted, your data, your control. Tech: Next.js + Markdoc + Tailwind. No vector DB — uses graph-backed retrieval (keyword scoring + link traversal) inspired by Karpathy's LLM Wiki pattern. Live demo (no key needed): https://www.ge
LingoRise
@DavidMaesela · X
Excited to share the new app I created with @Jotform! Check it out: