完整作品展
技术栈
24 projects
FetchrLy finds verified recruiter emails, surgically tailors your PDF resume for ATS alignment, generates personalized cold emails, and manages smart 3-step automated follow-up seq
@rohilla_manas_ · X
发现相关的Reddit对话，自动起草回复接触潜在客户
@hello_code_ · X
helps SaaS founders catch customers mid complaint on Reddit before they settle for a competitor
Tell Preludeum what you sell. It finds relevant public posts on Reddit and X, ranks the best leads, and helps you draft replies.
@xmangonic · X
Discover what people think of your website in 5 seconds. Collect rapid anonymous gut reaction verdicts, clean scores, and actionable feedback.
@SnapVibr · X
Looks awesome! If you want rapid gut-check feedback before scaling, add it to SnapVibr. Get honest 5-second swipe reviews instead of long forms or empty praise. Free to create your deck:
Put any public X post on the board from $1. Pay more, rank higher. All payments final.
@mrzlucid · X
best trend on X - come play blackjack free
免费生成 TikTok 风格的评论图片和贴纸，无需注册。
haowen8098 · V2EX
做了一个免费的 TikTok 评论图片生成器 最近上线了一个小工具： https://www.tiktok-comment-generator.com/ 主要用于生成 TikTok 风格的评论图片，适合短视频回复、UGC 素材、教程开场和社交媒体内容制作。 目前支持： - 生成单条评论贴纸 - 创建包含多条评论和作者回复的完整评论区 - 自定义头像、用户名、评论内容、时间和点赞数 - 设置置顶、认证、作者点赞等状态 - 导出透明、浅色或深色背景 PNG - 无需注册，免费使用，无水印 - 所有内容都在浏览器本地处理 目前还是 MVP 版本，希望大家帮忙体验一下。
在Reddit上发现自由职业机会，整理并生成个性化应聘回复。
@mrkammytv · X
Building Hireddit An AI-powered platform that helps freelancers discover Reddit job opportunities, organize them in one place, and generate personalized replies for each opportunity. I'd love your feedback! 🔗 #SaaS
分析Reddit和GitHub讨论，为产品决策生成客户洞察。
@Tweet2Tusharr · X
hey everyone 👋 we've been working on something over the last few weeks around customer research. we'd genuinely love if you could spend 5 minutes trying it and tell us what we're getting wrong.
使用AI从YouTube评论中提取内容创意和脚本
@comment_wisdom_ · X
Collect feedback, bugs, and feature requests in one inbox, tied to the people who sent them.
@nicorask1 · X
Hey Raj, lets connect! I am building a tool that helps saas owners collect feedback from their users and more.
