完整作品展
技术栈
60 projects
One bundle. Three independent judges. Reproducible rankings.
@Imranmohsin18 · X
sites I’m working on: Please check out and give me feedback all are public showcasing my skills :D ( not selling anything atm )
为AI代理发行一次性虚拟Visa卡，带有可配置的消费预算。
keyserfaty · Product Hunt
Agentcard for companies Give your agent a debit card
用AI快速生成、发送并签署客户提案。
sahil423 · HN
18y/O buidling an AI proposal OS and generator
通过AI聊天界面查询公司文档和内部指南。
@DD_Ferel · X
We built IntelliBase AI: a smart knowledge base that "learns" directly from your company's own documents, so HR & Ops teams can ask questions naturally instead of digging through files one by one. 🌐 Interested in trying it for your team? Comment or DM us
Otterdeck writes three priced proposal options in minutes — in your client's currency — then tracks opens and turns accepted proposals into invoices.
@otterdeckhq · X
Otterdeck's AI turns a project brief into three client-ready proposals in minutes, in any currency — then tracks opens, captures sign-off, and invoices accepted ones, so you win more work and get paid.
Call or text 1Dial once. Our AI contacts real businesses to verify prices, availability, stock, and appointments, then sends confirmed options by SMS.
u/harshil9968 · Reddit
Tired of calling 10 people to get one thing done We’ve build https://1dial.ai to the only AI assistant that interacts with the real world for you. Give it a task and it searches, calls and get your task done. Feedback welcome:) submitted by /u/harshil9968 to r/SideProject [link] [comments]
打造个人 AI 助手，支持自定义外观、语音和对话记忆。
@dearsummer0 · X
Your personal AI companion
部署理解业务逻辑的AI智能体来自动化企业工作流和统一知识。
@kr812345 · X
enterprise ai orchestration platforms to automate using tools. @
TokenLab MCP：对比 LLM 价格，访问 31-80 个多模态工具。
tokenlabai · HN
TokenLab MCP, model discovery, pricing, and native AI endpoint tools
为技术文档创建AI助手，能够实时回答用户问题。
@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
