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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
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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


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

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

与 AI 代理聊天的市场,按调用次数付费。
@pvdyck1 · X
: marketplace where you publish an n8n-compatible automation agent, set a per-run price, and get paid every run. builders keep 100% of their price (10% only at cash-out), buyers need no crypto. beta opened this week: or

免费的ChatGPT式助手,无需注册,支持GPT-4o-mini模型和实时网络搜索。
Web AI助手 — 极简、免费、易用的 ChatGPT。无需注册,Email 接码登录,GPT-4o-mini 模型免费使用,支持 GPT-4o 模型,支持实时联网

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

与多个 AI 模型聊天,进行深度研究和编码任务。
@Shekar77hima · X
run deepresearch, coding agents for free.

粘贴约会短信获得AI分析,了解他的真实意图和最佳回复建议。
u/ipleac · Reddit
I built the AI dating friend I kept wishing existed. I've realized I keep using AI for the exact same thing: trying to figure out men. Whenever I get a confusing text, I end up pasting it into ChatGPT and asking: * Is he actually interested? * Am I overthinking this? * What should I reply? * Is this a red flag? The problem is that every conversation starts from scratch. AI doesn't know this is the same guy who disappeared for four days last week, cancelled plans twice, or onl

用于语音、聊天和视频面试的 AI 平台,提供自动转录和分析。
Aural — 开源 AI 面试平台,支持语音、聊天和视频面试,提供自适应追问、结构化评分、面试练习与自托管 - [查看仓库](https://github.com/1146345502/aural-oss)


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