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I spent more time finding parking than driving there. So I built Bay 💀

I live in Melbourne, and one thing that kept annoying me was that Google Maps could get me exactly where I wanted to go… but then I'd spend another 10–20 minutes figuring out where I could actually park. So I started building Bay . The idea is stupidly simple: show me where I can actually park. One map for nearby parking, restrictions, filters, and availability where live data exists. It’s still early, which is why I’m posting it here. I don’t want to spend months bui

五维评分

付费意愿
25
需求真实度
65
个人可落地
55
竞争空间
30
新鲜度
40

AI 分析

痛点:找到目的地后还要额外花10-20分钟找车位,现有导航只解决'到哪'不解决'停哪'

目标用户:城市自驾通勤者与市中心出行用户(如墨尔本等大城市)

证据:Google Maps could get me exactly where I wanted to go… but then I'd spend another 10–20 minutes figuring out where I could actually park. / What's the one feature that would make you actually use this before driving somewhere?

变现:面向消费者的月订阅较难,建议B端变现:停车场/商场导流佣金、区域停车数据API卖给导航或车队、白标给地方政府或商圈

MVP:选一个城市,抓取公开停车标志与限停数据做成地图叠加层,只做'附近能否停+费用+限时'三件事,用问卷收集痛点后快速迭代,不碰实时可用位(数据成本过高)

竞品:Google Maps、Parkopedia、SpotHero、ParkMobile、PayByPhone、本地市政停车App

摘要:墨尔本开发者因导航到目的地后还要再花10-20分钟找车位,做了停车地图应用Bay并开放early access征求反馈。痛点真实且有普遍性,但帖子中没有任何付费意愿或收入数据,属于典型launch求反馈而非需求验证。该赛道竞品众多(Google、Parkopedia、SpotHero等),且停车数据获取成本高,个人开发者变现空间有限。