
MetaDesc.io - Instant SEO Meta Descriptions
AI为网页生成引人点击的SEO元描述,免费20次/天。
@Tonyjoixt · X
Instant SEO Meta Descriptions
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AI为网页生成引人点击的SEO元描述,免费20次/天。
@Tonyjoixt · X
Instant SEO Meta Descriptions

通过文本提示自定义网页样式、布局和小功能的浏览器扩展。
alentodorov · HN
built it in spring 2026--ready to share today. use opus 4.8 to create css and js snipptes to style the websites you visit the way you want. make nytimes more print-like, hn more matrix, or just replace any mention of AI with the :poop-emoji" -- your call.

Smart Link:链接追踪平台,支持地理定位、机器人防护和A/B测试。
@smartlinkpro10 · X
Building Smart Link Marketing infrastructure for serious marketers. One platform replacing: → Link tracker → Bot protection → Geo targeting → A/B testing → Deep analytics

自动生成生产级的网站地图、架构标记、元标签和 robots.txt 文件。
@PeakVisibilitys · X
🚀 AI-powered SEO audits and AI search optimization. Would love some feedback!

自动化 App Store Connect 任务:批量定价、截图、翻译和发布。
@RedjanHysa · X
App Store Connect makes simple things painful, so I built . Localizing pricing across every available storefront, writing and translating all app's metadata, editing screenshots in one tool and uploading them in another... well, that just takes time from actually building. With MetaRun you have everything in one place: bulk pricing with ppp-based localization, AI-translated metadata, screenshot studio where you edit screenshots, translate them in every language you support and publish them with one click, and many other tools. Oh, you can also use MetaRun directly in Claude Code, Codex, or whatever agent you're using, via MCP, so you never leave your IDE :). Check it out and tell me what you think.

集成笔记、阅读和AI回答的电子书阅读器,帮助构建和系统化个人知识库。
mekery · V2EX
我开源了一个 AI 电子书阅读器,欢迎大家体验 Hi V 友们, AI 时代,搭建自己的知识库非常有必要,我想把笔记、阅读和 AI 回答集成在一起,不断完善知识的积累和系统化,因此做了这款阅读器。 ## 整体预览  ## 阅读 ### 书架  ### 阅读视图   ### 目录、书签、高亮、注释和 AI  ###

构建LinkedIn潜客列表并使用AI生成的消息自动化外展。
@mzrness · X
LinkedIn outreach made cheap

Solvo:将你的文档转化为AI客服聊天小组件,自动回答客户问题并引用来源。
@dhruvkumar1805 · X

一款赛博朋克主题的闲置点击游戏,生成数据包、解锁升级来推进游戏进度。
@ClickSploit · X
I’m excited to officially launch ClickSploit. Check it out here: What started as a fun side project turned into a cybersecurity-themed idle clicker game. I built ClickSploit by using AI to help bridge some of my coding gaps, while leaning on my IT and tech experience to shape the game’s concepts, progression, and terminology. The game is meant to be fun first, but also gives players a small look into real cybersecurity ideas like alert triage, threat intelligence, vulnerability management, endpoint detection, identity security, automation, and building a stronger security program. It’s not a technical simulator, but it is a fun way to get a light introduction to tools and operations that people in cyber and IT work with every day. ClickSploit is accessible directly in your browser on both desktop and mobile phones, so there’s nothing to install. Mobile App development is in progress! This is still early, and I’ll continue improving the game with new conten

从浏览器直接导出LinkedIn潜在客户,每天最多20000条。
@hasanrahma00 · X
Hey Founders, try for cold outbound geneate paid users.

Flint是为AI代理设计的可视化语言,用于创建交互式数据可视化。
chenglong-hn · HN
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple

从中央知识库生成文档、帮助中心、聊天机器人和AI搜索工具。
u/Glittering_Stage4118 · Reddit
Building a company brain that can host any interface I’ve always felt like company knowledge is way too fragmented. Docs live in one place, support answers in another, marketing content somewhere else, and internal know-how is usually buried across tools, Slack threads, and old pages. Even when companies have the knowledge, turning it into the right interface for the right audience is still way too hard. I’ve been building Sophic to solve exactly that. At its core, Sophic