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Building a financial data SaaS solo: what I’ve learned turning an internal tool into a paid beta

Howdy all, I'm the solo developer behind StonkHub, a market research platform that aggregates public government and market data (congressional stock trades, lobbying, federal contracts, SEC filings, options positioning) into one dashboard. It started as a tool I built for my own research. Friends wanted access, then their friends did, and at some point I had to decide whether this was a side project or a product. I went with product, and wanted to share some of the decisions along the way

五维评分

付费意愿
75
需求真实度
78
个人可落地
72
竞争空间
45
新鲜度
60

AI 分析

痛点:主动交易者需要从国会交易、游说、联邦合同、SEC文件、期权持仓等分散的公开数据中手动研究,缺少一站式且价格合理的分析仪表盘。

目标用户:主动交易者、散户投资者、市场研究员,尤其是关注政府数据与期权持仓信号的用户。

证据:The $25/month beta unlocks the full feature set (GEX, technical screener, full watchlists, full premarket emails). ... most tools covering just one of these data sets (congressional trades, GEX, or insider filings) charge as much or more on their own, so bundling them at $25 felt like a clear value without undercutting myself.

变现:Freemium 订阅:免费层提供政府公开数据获客,付费层 $25/月解锁 GEX、筛选器、完整自选股和盘前邮件;后续可加更高阶档位、API 或机构版。

MVP:2周内先聚合2-3个公开数据源(如国会交易+SEC内部人申报),做简单仪表盘、筛选器和邮件/Telegram提醒;免费层放政府数据,付费层$19-29/月提供分析信号。

竞品:Quiver Quantitative、Capitol Trades、Unusual Whales、InsiderScore、Koyfin

摘要:StonkHub 作者把内部金融数据聚合工具做成付费 beta,免费层提供政府数据,$25/月解锁 GEX、技术筛选、自选股和盘前邮件。作者认为单独覆盖国会交易、GEX 或内部人申报的工具通常价格相当或更高,因此打包定价有空间。该案例验证了散户/主动交易者对多源公开数据一站式分析工具有付费意愿。