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技术栈
16 projects
Ornymo通过语义缓存减少LLM查询成本和延迟。
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]
将你的文档转化为能提供引文答案的AI助手。
knoku · HN
Knoku – cited AI answers from docs, files, and team knowledge
监控您的品牌在 ChatGPT、Perplexity、Gemini 等 AI 引擎上的提及和情感。
arshita_sharma · Product Hunt
CitedSpy Track your brand in ChatGPT, Claude, Perplexity and More
Semantic search across models, tools, prompts, glossary, tutorials, and comparisons. Built for clarity, not hype.
@GenAIGeeks · X
Explore AI Without the Noise!
文档解析 API，准确提取表格、公式和结构化数据给 AI 代理。
g418572664 · V2EX
做了一个文档解析与记忆工具，专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的，就像大佬们说的，“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ，说要用 AI 赋能传统行业啥的，代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子，金融行业的“智能审计与尽调 Agent”。 过去，银行或投资机构想要给一家企业贷款或投资，需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ，但把文件一股脑全丢给它是不现实的，且不说烧 token 的问题，这些文档里有无数的跨行、跨列单元格表格，普通工具一拉，表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块，那得出的财务分析就完蛋了。 所以，现在要真想开发出一个能干活，还确保正确率的 agent ，就需要一个专业的、AI-native 的解析工具，把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的： https://knowhereto.ai/?utm_source=v2ex 它能把复
对比多家媒体的新闻报道，获取平衡的AI摘要。
u/Puzzleheaded-Neat548 · Reddit
News Aggregator (Concord) Hey everyone, I'm a computer science student and I've spent the last several months building a project called Concord . The idea came from being frustrated with having to read five or ten different articles just to understand one story. Instead of only aggregating headlines, Concord tries to answer: • What actually happened? • What facts do multiple sources agree on? • What information is still uncertain? • What changed since the story first broke? Some
ValuePair 是一个基于共同价值观的友谊匹配应用,通过问卷帮你找到志同道合的朋友。
zloy88 · HN
ValuePair – a friendship app that cares about values first
为人类和AI代理记录和检索决策，追踪完整来源。
@burn2delete · X
用于查询结构化公开X数据的API，包括帖子、资料、趋势和粉丝。
u/CodeElectrical7071 · Reddit
X’s API is expensive, so I built a simpler API for public X data I’ve been building ThreadQuery, an API for getting structured public X data into apps and AI workflows. It supports search, post lookup, profiles, user posts, threads, trends, followers, and following. I’m starting with a free beta while I test reliability with real usage. The first 100 verified users get 1,000 free credits. No payment integration yet. I’d love feedback, especially on incorrect data or missing endpoints:
聚合多个来源的职位，用AI找到最适合您的工作机会。
@thomasramesh200 · X
Let's connect 👋 Building a smarter way to discover jobs & internships from multiple sources in one place. Try - Looking forward to your feedback, ideas and bugs report
通过 REST API 和 MCP 为 AI 代理和创作者提供社交数据查询。
OneInterface · GitHub
stormy-cookbook Open-source cookbook for the Stormy Social Data API and MCP server (Model Context Protocol) — one REST API for the TikTok API, YouTube API, Instagram API, LinkedIn API, X (Twitter) API and Reddit API. Search creators, resolve profiles, read posts and find verified emails from Claude, Cursor, Codex, ChatGPT or curl. One key, no scrapers.
