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Chat · rxlab market assistant
Research markets and build reports with the rxlab finance agent.
@Maurice1Zzz · X
Thanks Silver Here is our app, a financial market research agent
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Research markets and build reports with the rxlab finance agent.
@Maurice1Zzz · X
Thanks Silver Here is our app, a financial market research agent
Image generation API 中转站，支持批量处理和电商素材生成，价格低至 0.05 元。
@8emRiGnHFs32727 · X
图片生成 API 中转站上线了！ 低至 0.05 元/张，适合批量测图、电商素材和项目接入。 新用户注册即送 50 美元体验额度，欢迎来试用👇 #AI #图片生成
Neshi chat是一款实时聊天应用。
@nurislam733876 · X
Check out what I just built with Lovable!
Real-time messaging powered by Cloudflare Durable Objects
@DIYregistry · X
If anyone tries to clone this repo and runs into a problem, send a message to me on I was vibe coding when I made this work & luckily created a README file. Otherwise, I'd have a hard time remembering how to repeat the steps coding a custom business email.
为网站提供的AI前台，问候访客、回答问题、预订约会和收集潜在客户。
@formalaai · X
is an AI front desk for your website. Answers your visitors, asks the right questions, books the job.
Glen AI是一个AI助手聊天平台，提供对话、自动化、内容生成和编码帮助。
@Bloteco · X
Hi my glen ai assistant powerfull and unlimited at
与AI队友协作的团队聊天平台，支持读文件、写文档、集成工具。
@KalantariAria · X
A Discord/Slack alternative with a native AI Agent built in, it's called Waffle (@trywaffle_app).
与AI讨论YouTube教程，提问、提取代码并生成摘要。
benmarhol · Product Hunt
AskMyTuto Turn any YouTube tutorial into an interactive AI mentor
AskCodi 多模型 AI 代码助手，支持代码生成、重构和智能代理编排。
shreyans_assistiv · Product Hunt
AskCodi Orchestrate agents at scale while reducing cost
与AI助手Bill聊天，获得关于健康、学校、人际关系和生活的建议。
@TerrellJoh7801 · X
Check out what I just built with Lovable!
ManyGPT - An open source chat application with support for multiple AI models
@sabbirhasan7172 · X
Stop switching between AI tools. ManyGPT brings ChatGPT, Claude, Gemini, Grok, and more into one workspace. Try it out and let us know what you think.
为技术文档创建 AI 助手，立即回答用户问题。
@emilsnotes · X
Our customers using Claude Code move faster than we can ship features. So we stopped fighting it and leaned in. Here's why it's paying off: 👇️ Some context: powers AI agents that answer millions of technical questions per month. Those conversations are a goldmine - they tell you exactly what users struggle with and where your docs fall short. We've built a lot of analytics on top of this (Coverage Gaps, Top Questions, and more), and teams love them. But here's the honest truth: no dashboard covers every edge case for every company. Meanwhile, our sharpest customers were already exporting kapa data and throwing their coding agents at it in ways we never designed for. So instead of chasing every workflow with a UI, we took the best practices we've seen actually work and packaged them as Kapa Skills - installable in Claude Code, Cursor, or Codex: 1/ Analyze Coverage Gaps: your agent works through the topics kapa couldn't answer and writes the missing content straig