Show HN: A visualization map of the funding of public companies
I made this webapp (vibecoded) with Meta's AI models during the Meta AI hackathon that just ended (Oct 26-Nov 4). So far it contains public 33,000 companies, and 100k+ 'flows'. A company X has a flow to another company Y if X funds Y or owns its shares, or vice versa. It collects business data from SEC's EDGAR (Electronic Data Gathering, Analysis, and Retrieval), Wikidata company lists, and other regional company indices of Europe and Asia to build a database of companies to display on the map.
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指标快照
points · 1 votes
2026-11-09 18:30:33.370Z
cumulative since publication
研究分析
变化记录
来源描述:I made this webapp (vibecoded) with Meta's AI models during the Meta AI hackathon that just ended (Oct 26-Nov 4). So far it contains public 33,000 companies, and 100k+ 'flows'. A company X has a flow to another company Y if X funds Y or owns its shares, or vice versa. It collects business data from SEC's EDGAR (Electronic Data Gathering, Analysis, and Retrieval), Wikidata company lists, and other regional company indices of Europe and Asia to build a database of companies to display on the map.
版本与成本证据
来源票数: 1 votes (2026年11月9日 UTC; cumulative since publication) 可供比较的近期同类记录:“Show HN: FetchIndex – cost calculator for 19 scraping and search APIs” (Show HN, 2026年11月9日);“Show HN: Negs (Spektrafilm) brings spectral film simulations to the browser” (Show HN, 2026年11月9日)。主题相近仅用于导航,未核验其是否属于同一需求或独立证据。
适用与受影响对象
先明确变化影响的现有工作流,再判断是否升级。发布热度不证明效果提升;接口、价格或可用性变化也可能增加迁移工作。
缺失的比较信息
待补齐:新旧行为、受影响套餐与地区、生效时间、兼容性、回退路径及同一工作量下的成本。
采用与迁移验证
保存发布或政策原文,对新旧方案运行同一个任务并比较结果与完整账单;若涉及停服,先核验截止时间再安排迁移。