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60 projects


Turn natural language descriptions into production-ready backend APIs and services.
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,

Learn foreign languages through short videos.
@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

Record and transcribe meetings to build a searchable knowledge base your team can query with AI.
@dojopy · X
🚀 Your meetings should create decisions, not paperwork. MeetTalky transcribes, summarizes, generates subtitles, and extracts action items automatically with AI. Less note-taking. More building. Try it: #AI #Productivity #Meetings #SaaS #BuildInPublic #ArtificialIntelligence

Workspace to use multiple AI models for research, web search, file analysis, and content creation.
@sahiinthehood · X

Get a free API key with email to access 500+ Hugging Face models.
@pengsonal · X
500+ Hugging Face models through a single free API no credit card just an email signup 😳 launched on July 3 as a unified gateway for Hugging Face models one API key one endpoint 500+ models what you get for $0: • 500+ open-source models through an OpenAI-compatible API • no separate API keys for different providers • works with Cursor, Claude Code, Hermes, OpenCode, and anything that supports a custom base URL • email signup only setup takes about 2 minutes: 1. Go to 2. Sign up with your email 3. Generate an API key 4. Set your base URL to 5. Choose any model from the catalog and start building a few things worth knowing: • is a third-party gateway, not an official Hugging Face product • the free tier is rate-limited, but the exact limits haven't been published yet • i wouldn't build production apps that depend entirely on a free aggregator what i like is the simplicity instead

AI assistant for studying and working with translation, writing, language learning, and goal organization.
@Ghofrane7a2l · X
Check out what I just built with Lovable!

Free vocabulary platform with AI-generated illustrations, pronunciation, and memory tips for multiple languages.
黄油单词 — 在线背单词工具,免费,每张单词卡配有 AI 插图、单词发音和例句朗读,支持西班牙语、法语、德语、日语

Summarize YouTube videos with AI to generate transcripts, mind maps, and multilingual study notes.
mychary · V2EX
做了十多年视频后期,我 vibecoding 了一个 YouTube 视频分析总结工具 大家好,我是一个做了十多年影视后期的从业者,最近开始学习 vibecoding ,尝试自己做产品。 由于之前工作的需要,随时学习最新的技术,所以需要经常看些教程,比如 C4D 或者 Houdini 之类的,但是这类教程往往都是英文的,对于我这种英文不好的人来说,简直是地狱,看一会就困得不行,尤其是听不懂,只能看操作,一个教程看下来,实际吸收的知识我估计只有 30%左右。出于这个原因,我就考虑做一个学习工具,于是有了这个产品。 这个工具叫 TubeTutor AI: https://www.tubetutor.top 我看过很多现在市面上的 YouTube 工具,主要依赖字幕。用来总结访谈、播客和课程问题不大,遇到屏幕录制、软件教程、代码演示或者旁白比较少的视频,往往需要暂停,来看清楚作者到底操作了什么,或者输入了什么命令,这样无形中浪费了大量的时间。 所以我给 TubeTutor 做了一个视觉分析功能。 它会结合视频字幕和画面,尝试整理视频中出现的工具、网页、代码

Audio API for transcription, emotion detection, and speaking style analysis.
dillon_silzer · Product Hunt
Oruk Speech AI that actually understands you

Chat with multiple AI models for deep research and coding tasks.
@Shekar77hima · X
run deepresearch, coding agents for free.

Manage WhatsApp and Telegram conversations with real-time translation across 200+ languages.
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