开发者工具2 weeks ago
Live demo — see LLMIntel with a week of real traffic | LLMIntel
查看 LLM 成本数据,按模型和环境分类,获取优化建议。
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to
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查看 LLM 成本数据,按模型和环境分类,获取优化建议。
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to
开源提示词压缩，在API调用前压缩输入以降低LLM成本。
@asgujjuasitgets · X
团队聊天工作空间，整合分散在聊天、文件和反馈中的工作。
@AmaaN_AshiF · X
I Built this for 2 weeks with Claude code It’s now a working beta Product A chat first workspace for teams whose work gets scattered across chats, files, feedback and project tools. Free to try right now.
粘贴URL生成llms.txt和MCP端点，使任何网站可被AI代理查询。
AshHackerNews · HN
AgentReady – MCP server that makes any docs site queryable by AI agents
ChatGPT 克隆，支持语音、Markdown 和 Gemini API。
@SayamPadwe · X
Just shipped my ChatGPT Clone 🚀 Built with React, JavaScript, Gemini API, Speech Recognition, Markdown, and Vite. Live Demo 👇 GitHub 👇 #reactjs #javascript #webdev #buildinpublic
导入ChatGPT、Claude和Gemini聊天记录进行搜索和整理，打造可搜索的第二大脑。
petesarney · HN
Backscroll – search your ChatGPT/Claude/Gemini history
支持流式聊天、工具调用和网络搜索的全栈AI工作室。
@krishnakshay46 · X
🚀 Just launched OMNISCRIPT! A full-stack AI workspace ✨ Streaming AI responses 🌿 Chat Branching 🛠️ Tool Calling 🔎 Web Search Integration 🎨 Modern UI & Animations Try Now 👇 #buildinpublic #AI #React #OpenAI @Hiteshdotcom @surajtwt_ @piyushgarg_dev
与专为欧洲葡萄牙语训练的开源语言模型 Amalia 聊天。
wbemaker · HN
I Am Hosting Amalia – The First Portuguese LLM
将您的网站转化为 24/7 AI 聊天机器人，自动回答客户问题
@ContextGPTai · X
— AI Chatbot That Knows Your Business ContextGPT lets you build an AI chatbot trained on your website, PDFs, Docx, ppts, Youtube, Sharepoint, Notion, Confluence, GitBook, Box, Github, iCloud. Integrate the ai to Slack, Crisp, Zendesk, Freshchat, Zoho,etc
Argutum：与AI聊天并根据消息质量赚钱。
u/as-333 · Reddit
Built an AI chat that pays you per message, scored in real time: looking for feedback I've been using Claude Code to build Argutum, an AI assistant that scores every message you send (0–100, five dimensions: complexity, novelty, structure, domain expertise, conversational depth) and pays you for the good ones. The underlying idea is that your prompts get sold as training data to AI labs, so you should get a cut instead of it happening for free. Stack: Next.js 16, Groq/Llama 3.3 70B, custom
