AI 智能体1 month ago
Mailpipe — The AI-native email platform
通过MCP、API和CLI连接AI代理的电子邮件平台。
@Mailpipe_dev · X
AI-native email with human oversight
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技术栈
22 projects
通过MCP、API和CLI连接AI代理的电子邮件平台。
@Mailpipe_dev · X
AI-native email with human oversight
按需进行来源支撑的研究，生成定期报告或通过API集成。
@Robhay3s · X
将学术论文和草图转化为发表就绪的研究图表。
提供60+个滚动驱动分区过渡效果的React库,用于现代网站。
@itz_sayan_03 · X
Ever wondered how cinematic scroll-driven websites are built? 👀 Meet SectionFlow—an open-source React library with 60+ ready-to-use section transitions, a one-command CLI, reusable sections, and optimized performance. 🚀
AI和机器人板块交易信号，附带公开成绩单。
@TradingResXYZ · X
Material catalyst events scored by our research pipeline — every call logged on issue, auto-closed on its holding period, and benchmarked against the sector ETF. The track record is the pitch.
Profiles, timelines, search, followers and replies from X (Twitter), returned exactly as the platform publishes them. One API key, one credit a call, cached reads free.
@sagaventure · X
i help you get the X profile, posts, comments, etc. as JSON
AI驱动的IT团队回顾工具，连接各类工具并识别改进模式。
@akadhanu · X
an ai sprint retrospectives for it teams (
Korroresearch用8个AI验证引擎生成和验证学术论文。
u/korro_ai · Reddit
I built Korroresearch: an AI that writes academic papers, then checks every single claim against 8 verification engines Most AI writing tools just generate text and call it done. Korroresearch does the opposite. Generation is step one. Verification is the real product. How it works: Describe your idea. It writes the full academic paper : research paper, grant proposal, white paper, pitch deck, conference talk, magazine article. English or French. Then the real part starts. 8 engine
Kwez为南非10年级学生提供AI学习平台，含直播课程和进度追踪。
@sriharithebest · X
Building Kwez, an offline-capable study platform for South African high-school learners. Just shipped the Android APK, live classes, diagnostics, progress analytics and CAO support. Free Grade 10 alpha starts August 1.
Interactive quests for seeing what emerging technology knows, proves, and controls.
@Mary_McCawley_ · X
Over the weekend I vibe coded an interactive learning app for understanding blockchain. I want your feedback frens! I don’t want to over complicate the process for the user.
上传论文或项目材料，通过AI分析发现方法重合、薄弱论证和引用缺陷。
@Havey1001 · X
公共数据被研究得多，并不等于没有创新。更关键的是问题设定、识别策略、机制解释，以及同类结论和引用证据链是否已被覆盖。投稿前先系统比对公开论文、专利和既有技术路线，能少走不少弯路。我们做了一个投稿前风险预审工具，专门把这些重合与薄弱点提前摊开：
