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I’ve spent last 8 months building an intelligence platform around thematic investing.

I’ve been a trader at a prop trading firms since 2014. Over those years I kept running into the same problem, and I think most retail traders and investors do too: the problem isn’t the lack of data, it’s a lack of context. So I built HYFOS - it turns scattered data (mostly SEC fillings) into structured context. You probably know NVIDIA matters, AI matters, data centers matter. The valuable part isn’t any of those facts. It’s the system: AI demand -> GPU demand -> advanced p

五维评分

付费意愿
55
需求真实度
35
个人可落地
65
竞争空间
45
新鲜度
60

AI 分析

痛点:零售交易者和投资者缺少将分散数据串联成主题投资供应链上下文的能力,手动研究供应商、客户和竞争者又慢又有偏差。

目标用户:零售交易者、个人投资者、主题投资/基本面研究者

证据:the problem isn’t the lack of data, it’s a lack of context. ... I think most retail traders and investors do too

变现:订阅制SaaS,按主题/市场/数据深度分层收费,可提供个人版与专业版,或按API/报告付费。

MVP:2周内选一个主题(如AI基础设施),抓取SEC 10-K/10-Q中的客户、供应商、竞品关系,用图数据库或可视化展示供应链传导链和瓶颈,提供网页订阅或邮件简报。

竞品:AlphaSense、Sentieo、Koyfin、Finviz、Quiver Quant、BamSEC

摘要:前自营交易员耗时8个月开发HYFOS,把SEC filings等分散数据转成主题投资的结构化上下文,展示AI基础设施等供应链传导链。目标用户是零售交易者和投资者,但帖子没有收入、付费用户或他人附和,需求验证弱,竞争激烈。