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I built a dating app that plans the first date for you, at a spot halfway between you both

I'm a solo developer in New Zealand. For the past few months I've been building Matcha, a dating app for people who want something serious. The problem I kept seeing: matching is easy, but most matches never turn into a date. The chat dies somewhere around "so where should we go?", especially when one person would have to travel across town. So I built Meet in the middle: In the chat, pick coffee, drinks or food, a day and a time Matcha works out the halfway point between your tw

五维评分

付费意愿
25
需求真实度
35
个人可落地
80
竞争空间
30
新鲜度
60

AI 分析

痛点:匹配成功后聊天容易冷场,双方难以决定第一次约会地点;如果两人通勤距离较远,就更难确定具体地点。

目标用户:想认真约会但懒得安排首次见面的单身用户,特别是同城通勤距离较远的都市用户

证据:The problem I kept seeing: matching is easy, but most matches never turn into a date. The chat dies somewhere around "so where should we go?", especially when one person would have to travel across town.

变现:1) 约会应用订阅制(解锁更多约会安排、优先推荐);2) 将“双人中点+营业时间场所推荐”做成 API/SDK,授权给其他社交或约会 App;3) 餐厅、酒吧预订的联盟佣金

MVP:不做完整约会 App,先做网页版“约会安排器”:双方各填街区或邮编(模糊到区域,不暴露精确位置),系统取中点后调用 Google Places 或 OpenStreetMap 返回该时段营业的咖啡馆、酒吧,生成可分享邀请链接;对方一键接受,并自动添加日历提醒和提前 30 分钟通知

竞品:Tinder、Bumble、Hinge、Timeleft、Meet In The Middle 类小程序

摘要:新西兰独立开发者用 React + Vite + Capacitor 做了严肃约会 App Matcha,核心功能是“Meet in the middle”:在聊天中选咖啡、酒或餐厅以及时间,系统算出双方区域的中点,并推荐当时营业、带评分和照片的场所,一键发送邀请并提前 30 分钟提醒。工程上做了位置模糊化保护隐私、用 Postgres 计数控制 Google Places 月度配额、超限回落 OpenStreetMap、场所推荐由服务端签名以防伪造。帖子未提及任何用户量、收入或付费数据,属于个人作品发布而非需求验证。