reddit · SaaS · 10-08 20:50 64 分 ← 返回列表

Didn’t want to pay $70–100/mo for mobile app market data, so I built my own. Now 150 people use it free and I’m not sure that’s sustainable.

For the past few years I built mobile apps the hard way: idea, build, launch, crickets. No market research, no keyword research. The screenshot above is our Play Console: 17 apps, and most of them sit under 100 installs. Only a couple got real traction (5.5k and 657). Looking back, the data would have told us which ideas were worth building before we wrote a single line of code. The tools that have this data cost $70–100/month , which felt steep for an indie dev who mostly ne

五维评分

付费意愿

需求真实度

个人可落地

竞争空间

新鲜度

AI 分析

痛点：独立移动开发者需要应用市场与ASO数据，但现有工具每月70–100美元，价格过高，导致产品决策靠猜。

目标用户：独立移动应用开发者、小团队、ASO/增长从业者

证据：The tools that have this data cost $70–100/month, which felt steep for an indie dev who mostly needed a handful of features. We have 150+ users so far, almost all organic from social media.

变现：Freemium：免费提供基础ASO与市场数据，付费解锁关键词追踪、收入预估API、MCP查询、更多导出与监控；也可按用量或订阅收费。

MVP：两周内做轻量ASO关键词与竞品数据看板：抓取公开App Store/Google Play榜单与关键词，提供搜索量/难度估算、竞品下载/收入区间、关键词排名跟踪；接入Stripe订阅，免费限查，付费解锁。

竞品：Sensor Tower、data.ai、Appfigures、AppTweak、Mobile Action、App Radar

摘要：一位独立开发者为省下每月70–100美元的移动应用市场数据费，用AI代理自建了覆盖约500万应用的数据管道、收入预估模型和ASO关键词工具。开放免费后两周获得150+用户，但尚未验证付费，可持续性存疑。