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I built a manufacturer sourcing service and I'm doing it all by hand first (yes, I know Alibaba exists)

I've been sourcing manufacturers for my own product brands since 2020, and the hardest part has never been the idea. It's figuring out who can actually make it, which factories are real, and what the MOQ and pricing actually look like. So I built Bazepoint. You fill out a short brief about your product (what it is, how many units, any requirements), and I go find 3 to 4 manufacturers who could make it, with their MOQ, pricing and capabilities. There's no AI magic yet. I'm doing every brief

五维评分

付费意愿
45
需求真实度
50
个人可落地
78
竞争空间
38
新鲜度
55

AI 分析

痛点:做自有品牌的独立卖家很难找到真实可靠的工厂,拿不到透明的 MOQ、报价和生产能力信息

目标用户:想做自有品牌的独立卖家、亚马逊/DTC 小卖家、硬件独立创业者

证据:the hardest part has never been the idea. It's figuring out who can actually make it, which factories are real, and what the MOQ and pricing actually look like. / I'm doing every brief by hand to see if people actually find this useful before I automate anything.

变现:按单收费的人工 sourcing 服务(199-499 美元/份 3-4 家工厂候选清单)、成交后 3-5% 佣金、以及报价/打样/议价/验厂的后续增值订阅

MVP:极简落地页+结构化 brief 表单(产品、数量、要求、目标价),48 小时内人工返回 3-4 家匹配工厂及 MOQ/报价/产能对比表,先收 199 美元验证付费,再逐步把工厂数据库和匹配流程自动化

竞品:Alibaba、Sourcify、ThomasNet、ImportYeti、Jungle Scout Supplier Database、各类中国本土 sourcing agent 服务

摘要:一位自 2020 年起为自有品牌做工厂采购的开发者上线了 Bazepoint:用户填产品 brief,他人工返回 3-4 家可生产的工厂及其 MOQ、报价和产能,目前完全手工、尚未引入 AI,本周末还将飞广州实地看厂和逛广交会。他自述卡点是不确定用户真正需要的是“一份候选名单”还是后续的报价、打样、议价协助,并在帖中征求采购过来人的痛点。帖内没有收入数据或他人付费意愿的佐证,属于典型的人工先行验证阶段。