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技术栈
28 projects
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.
追踪新上线的电商和服务企业，利用AI驱动的自动化外联工具。
@FisherLeadsco · X
If you’re an agency, web designer, marketer, or SEO, this is your unfair advantage. FisherLeads shows you businesses the second they launch, before anyone else finds them. Fresh ecommerce stores and service businesses, every day. Reach them first.
创建处理聊天、电话、邮件和销售线索的 AI 员工。
@Nathaniel148600 · X
BuildAI — Create an AI employee from your website in under a minute. And deploy it as a Widget, API, or AI phone agent.
AI驱动的CRM，用于潜在客户发现、电子邮件验证和冷联系。
@ensaktas · X
追踪 LinkedIn 参与度，识别购买信号并生成合格的 CRM 就绪线索。
@traxy_ai · X
LinkedIn is where B2B deals are. helps you connect with the signals for these deals as soon as they arise and have them ready for your outbound systems. Do not be part of the noise, but the conversations.
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
在浏览器中运行 AI 模型，仅需一个脚本标签，无需服务器或 API 密钥。
@erdemwrites · X
LKLK AI 创作平台，帮助设计师和创意人士生成视觉内容。
lklkai · Product Hunt
LKLKAI AI creation platform for designers and creators
用 AI 快速构建应用和网站，无需编码技能。
@cecond_thoughts · X
Don't know about vercel but a website can have and only have its frontend vibe-coded, and backend not vibe coded but hosted on railway.
用 Google Gemini 生成和编辑 AI 图像
Nano Banana AI — 基于市面上最强的 AI 图像编辑模型 Nano Banana 开发的图片编辑器，用嘴改图、保持角色一致性、控制细节、图片融合
用前沿AI模型生成并分享图像，当他人基于你的提示词创建作品时获得收益。
u/raidenblackout · Reddit
I spent 6 months building my AI platform and 0 days marketing it. Trying to fix that now So I've been building Nodal ( https://app.asknodal.com ) for about 3 months now. Basically it's a Pinterest-like app for AI-generated images. And the neat part is you top up one credit balance and can use it to generate from multiple platforms like Nano Banana, ByteDance, Flux, etc. So for the last 3 months I have been working on feature after feature, refactoring, trashing some features, and then build
