金融商业1 month ago
LeadForge
为外包销售团队打造的AI线索智能CRM
@LeadForgeLLC · X
Building the operating system for outbound agencies. AI, territory discovery, team collaboration, and execution in one workspace.
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为外包销售团队打造的AI线索智能CRM
@LeadForgeLLC · X
Building the operating system for outbound agencies. AI, territory discovery, team collaboration, and execution in one workspace.
投票参与Groundbeat的实时民意调查，按答题者分类查看结果。
dgerken · HN
I rebuilt my 2000s polling site with an AI running the editorial desk
Kairo 扫描 Reddit，找到在寻找你的产品的用户，自动推送客户线索。
@Emmanuel1134541 · X
If u ain't getting users to your product try it free though
使用AI即时从仓库URL生成专业的GitHub README文档，无需注册。
@david_kubgak · X
Generate a professional README from any GitHub repository in seconds.
通过AI查找商业潜在客户，并生成个性化的电子邮件、Instagram和LinkedIn外联信息。
@Null_penure · X
Outreach Studio finds business leads with emails included, has AI write a personal message to each one, sends at a human pace, and triages the replies. Free plan included.
从Reddit和X发现真实客户痛点来验证创业想法。
@Tommycsx3 · X
Building an AI tool to help founders validate startup idea base on reddit’s complaints
Easyscale：搜索 X 账户、生成推介消息、追踪回复。
@denpoint1 · X
Find people on X who match your audience, then run outreach like Trello — from signal to DM to reply on one board.
AI生成YouTube标题，15种风格可选，优化点击率和SEO。
YouTubeTitles — YouTube 标题生成器（AI 驱动），提供快速模式与进阶模式，助力提升视频点击率
在社区排行榜上对项目投票，使用付费支持提升可见性。
@gabugando · X
Ship your next project
在 LinkedIn 和 Instagram 上自动查找和预订潜在客户的 AI 代理。
samagra_gune · Product Hunt
Sumora The AI team that finds and closes your next customer.
在你的网站上训练AI聊天机器人以回答访客问题并捕获线索。
@pmxgrowth · X
Built after taking my own site from 2% to 7% lead conversion. AI agent that answers first, captures the lead once it's been useful.
扫描GitHub代码库查找安全漏洞，AI提供修复建议。
u/uwais_ish · Reddit
Three weeks to build an AI security scanner. The scanner was the easy part. Shipped RedFlag this month. Breakdown of where the time actually went, because it was nothing like I estimated. Stack: Next.js 16, Auth.js v5, MongoDB, Stripe, OpenAI. Deployed on Vercel. What I thought would be hard: getting an LLM to find real vulnerabilities. What was actually hard: getting it to stop finding fake ones. First working version flagged 200+ issues on a clean repo. Every one plausible, most of th