
Leadork — B2B Lead Prospecting Platform
通过Google Maps抓取商业线索,快速获取公司电话、网址和邮箱。
@eskayML · X
Lead gen for dummies
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通过Google Maps抓取商业线索,快速获取公司电话、网址和邮箱。
@eskayML · X
Lead gen for dummies

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.

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

为静态网站创建表单并自动捕获和路由潜在客户到电邮和 Google Sheets。
@allenjones126 · X
I’m building a form builder, form backend and a lead pipeline in one tool.

自动吸引LinkedIn潜在客户的平台,采用文章推广、创意人物定位和关键词监控。
@TejasChauhan072 · X

用AI自动回复Instagram私信,进行线索鉴定和前景评分。
@Hustler092400 · 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.
在地图网格上追踪您的 Google Business Profile 排名,发现本地 SEO 机会。
@neerajmishraseo · X
Vibecoded this saas seo tool that tracks Google Business Profile map rankings. Took me 1 week to build it using Claude Code. Really surprising to know how evolved and capable these AI tools are nowadays. #buildinpublic #saas #seo #vibecoding #claudecode

实时监测竞争对手的价格变化、职位发布、广告、内容策略、评价和技术栈。
sven_de_meyere1 · Product Hunt
Glimpse The competitive intelligence agent

Rankahead用AI代理追踪品牌在AI搜索引擎上的可见性并生成SEO内容。
@alexdigitalmkt · X
Nice to meet you! :) Just launched Agentic GEO/AEO platform for solopreneurs and agencies: → AI Brand Visibility → Content Generation (with images and link building) → Agentic GEO Tasks → Competitor Analysis → BYOK - Unlimited prompts and content


YouEx.ai 是面向 B2B 销售团队的 AI 原生 CRM 平台,自动捕获、丰富、评分和分配线索。
u/youex-ai · Reddit
Built a CRM w/ MCP -- Biggest misunderstanding on first look? We launched an MCP connector a few weeks ago that connects our CRM data. We're still working through our product market fit, so I asked Claude What is the biggest thing people misunderstand about YouEx.ai when they first see it? I was actually not even thinking about researching our actual CRM data, but that's what it did. The answer was actually really insightful: Your own data points at it: a large sha