生产力1 month ago
TiniDrop — Document Intelligence Platform | Share Files & Track Views | TiniDrop
安全分享PDF文件，追踪每位查看者浏览了哪些页面。
@adhikari_premi · X
完整作品展
技术栈
31 projects
安全分享PDF文件，追踪每位查看者浏览了哪些页面。
@adhikari_premi · X
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
Convertly is the most comprehensive privacy-first document AI platform, combining enterprise-grade file conversion with intelligent multi-agent document analysis across 7 industrie
@saim645 · X
无代码数据分析和文档提取平台。
@0xLingjieKong · X
Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!
在多个平台创建和发布内容的一体化平台。
@wztlink1013 · X
自己写了一个工具，专为内容创作者多平台发布， 富文本编辑体验，同时支持多个平台的格式平替兼容。
每周自动追踪竞争对手的定价、功能和消息变化。
@Caden1Fenn · X
Intel Brief — tracks what your competitors change (pricing, features, positioning) and delivers it to your inbox weekly. Built for indie SaaS founders.
在Curio上钉选AI文档反馈，AI将读取并修订。
ashaney · HN
Curio, a place for HTML files
在文本和文档中检测 AI 生成的内容，包含逐句分析和可导出报告。
Detector de IA — 西班牙语优先的 AI 文本复核网站，可检查粘贴文本和文档，查看概率信号、句子高亮和可导出报告
Supaboard is an AI business intelligence platform: connect 700+ data sources, ask questions in plain English, and see the SQL behind every answer.
@aritrogh · X
We are a startup that makes understanding your data easier, its
隐私优先的分析平台，为SEO内容研究和发布提供AI副手。
@VertCodeEU · X
Self-updating documentation for AI agents and humans. Open source alternative to Mintlify, ReadMe, and GitBook.
@papervine_io · X
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