
SEORCE - AI-Powered SEO Platform
SEORCE - 通过WhatsApp分析SEO和可见度数据的AI平台。
princeku945 · Product Hunt
Just Ask by SEORCE Talk to your SEO & AI Visibility data on WhatsApp.
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SEORCE - 通过WhatsApp分析SEO和可见度数据的AI平台。
princeku945 · Product Hunt
Just Ask by SEORCE Talk to your SEO & AI Visibility data on WhatsApp.

自动从Gmail或Outlook跟踪求职申请,智能组织求职过程。
@MrTechPM · X
Built this because I was tired of job hunting feeling like a second full-time job. JobFlow automatically tracks applications from your inbox, organises your job search, and gives AI-powered guidance throughout the process. Still early, feedback helps...

用你的声音自动管理X账户、发布帖子、回复和直接消息的AI代理。
@mukparekh · X

Remotalk:用AI连接朋友,突破语言和残疾障碍。
@RemoStart · X
Ours is an amazing platform called If you have a diverse team, the platform is for you!

Img-Forge:通过 REST API 和 11 个 AI 模型生成图像。
u/texo_optimo · Reddit
I got tired of leaving claude code for image assets so I made Img-Forge - a remote txt2img MCP, API SoloDev here (doing this outside of my 9-5); I've decided to start shipping instead of remaining in a state of perpetual build. I'm shipping the tool I use most in my own work: Img-forge. Link is here but I have a Product Hunt listing for it here. There is a small free tier to check it out. Stackbilder.com is the platform UI; but Easiest way to get your agent working with it is via mcp

上传教师照片获取 AI 驱动的辅导和实时白板功能。
@ajkbossp · X
Check out what I just built with Lovable!

与 AI 教练练习编程面试、系统设计和代码审查。
@preproomai · X
🟢Get ready for #vibecoding and AI #codereview. It is cutting-age & you can't miss: Time to ditch old-school @LeetCode ! #SoftwareEngineering #TechInterviews #CodingSkills #TechCareers #PrepRoom #TechCareers #SystemDesign #ITJobs #CareerGrowth

从URL或描述生成SaaS启动视频,60秒内完成AI优化编辑。
@VanillaSkyAI · X
is like Lovable for video. Paste a URL, get a launch video, chat to edit, post 🎬 Here's one I made in minutes 👇

AI 学习你的风格,自动撰写并发布 X 帖文。
@Shahzebsolodev · X
grow you X on autopilot (Almost done building. Giving the finishing touches)

用 AI 创建学习笔记、预测论文成绩、生成学习指南的学术平台。
@indradevGod89 · X


捕获UI元素及其代码上下文,与AI代理分享以调试视觉缺陷。
Loerei · HN
I found that describing where a broken UI is and taking screenshots for AI agents really sucks. I’m too lazy to explain an indescribable visual bug or capture a millisecond-long flash. I also don’t want to remember which file defines an element, whether it's right in the .tsx or a problem with the Parent Styles in .css. And even if you can point out the exact file, your agent still has to dig through thousands of lines of code to know what on earth you're yapping about. In a 7700-file monorepo like Cal.com, simply giving the right file in the prompt for your agent saves about 68.9% of execution time and 94.2% of the tokens your agent needs to digest. HoverSource gives all the needed information and further pushes it to -88.5% time and -94.5% tokens, basically skipping the entire digging session and jumping straight to reasoning and executing. The save is linear to how big your codebase is. I want to save tokens, but don’t want to spend my time and energy digging manually, and a junio