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I got a parking ticket in Brooklyn and had no idea if it was worth fighting, so I built a thing that shows the city's own numbers

I'm Mehyar. I build small software in Brooklyn. This one started with a ticket on my own windshield. I stood there doing the same thing everyone does — is this worth fighting, or do I just pay it and move on? I had no real basis for the guess. The ticket said what I supposedly did wrong, and that was it. So I built TicketBeat. You put in the violation code from the ticket, or a photo of the ticket, and it shows you what share of disputes for that exact code were actually dismissed — taken

五维评分

付费意愿
58
需求真实度
60
个人可落地
88
竞争空间
42
新鲜度
66

AI 分析

痛点:收到停车罚单后,车主不知道值不值得申诉,只能凭感觉交钱或者硬申诉,缺少客观的胜算依据和规范的申诉材料。

目标用户:纽约等大城市里开车、经常被开停车罚单的城市车主(尤其是不熟悉规则的年轻司机和新车主)

证据:I stood there doing the same thing everyone does — is this worth fighting, or do I just pay it and move on? I had no real basis for the guess. / The odds lookup is free, a few lookups a day, no account and no card.

变现:查询免费引流;对申诉信生成和缺陷清单按次收费,价格在 5 到 15 美元之间,或者 9.9 美元/月订阅包含多次生成;后续按城市或按罚单类型做付费解锁。

MVP:两周内:抓取城市财政局公开的罚单申诉结果数据,建立「违规代码 → 实际撤销率」查询页;做出该代码对应的逐项缺陷自检清单(车牌、日期、咪表、路牌等);再用模板加上罚单细节生成申诉信草稿,先不做代提交,只做导出并引导用户到官方门户自己提交。

竞品:DoNotPay、Fixed (Fixed.com)、WinIt、Off The Record(交通罚单类)

摘要:作者在布鲁克林吃到罚单后,基于纽约市财政局公开的申诉结果数据做了 TicketBeat:输入违规代码或拍摄罚单照片,即可看到该代码历史撤销比例,并给出逐项缺陷核对清单和申诉信草稿;每天几次查询免费,不代提交,也不含摄像头罚单。这验证了「用官方数据量化胜算」这一需求真实且独立开发者可做,但 DoNotPay、Fixed 等已有玩家,且帖内没有他人付费表态或收入数据。