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I built a lead-scoring SaaS and realized I was solving the wrong first problem

I originally built Orty around a simple idea: Give me a potential client → I'll tell you whether they're worth contacting. Sounds useful, right? Then I started trying to get users myself. And I kept running into the exact same problem my users had: “Okay… but where the hell do I find the clients in the first place?” So I rebuilt the beginning of the workflow. I just shipped Orty Scout . Instead of starting with a lead, you start with: What do you sell? Who do you wa

五维评分

付费意愿
55
需求真实度
60
个人可落地
75
竞争空间
40
新鲜度
55

AI 分析

痛点:自由职业者和代理机构最难的不是给线索打分,而是不知道去哪里找到第一批潜在客户。

目标用户:自由职业者、代理机构、B2B服务提供者、顾问、销售外联人员

证据:“Okay… but where the hell do I find the clients in the first place?” / “finding clients has been one of the hardest parts of building Orty itself.” / “I'm looking for a few freelancers/agencies”

变现:订阅制 SaaS:免费版限制策略生成次数,付费版按月/年收费;按生成策略或线索分析次数加购 credits;面向代理机构提供团队席位与 CRM 集成。

MVP:做一个 AI 客户猎取策略生成器:输入你卖什么、目标客户是谁,输出渠道列表、搜索查询、正负信号、外联角度;支持保存候选客户 URL/截图并简单打分。2 周内可用 LLM + 表单 + 本地存储完成。

竞品:Apollo、Clay、LinkedIn Sales Navigator、Hunter.io、Instantly、Lemlist、PhantomBuster

摘要:发帖人做了 lead-scoring SaaS Orty,发现用户和自己一样卡在“去哪里找客户”这一步,于是推出 Orty Scout,根据销售内容与目标客户生成找客户策略。帖子明确面向 freelancers/agencies 招募早期用户,但没有展示付费意愿、收入数据或用户数量。该方向痛点真实且可订阅变现,但竞品密集,差异化需落在“找客户策略”而非爬取数据库。