I built a single power scale for people, companies and institutions (what worked, what broke)

说明与用途

ApexHierarchy 使用 LLM 生成文本并使用确定性公式为个人、公司和机构分配八级统一排名。

问题

No unified metric to compare diverse entities such as city mayors, CEOs, ministries, and tech companies on a single scale.

结果

777 profiles, 3,127 connections, 1,648 sources across 40+ cities, with a functional search, ranking, and connection mapping system.

工作流

• 1. User searches for a person, company, institution or country; if absent, the system researches public sources in ~25 seconds.
• 2. An LLM writes the profile text and extracts figures.
• 3. A deterministic formula assigns the tier based on extracted data and reach caps.
• 4. The profile displays sources, corroboration flags, and a data‑confidence score.
• 5. Users can report mistakes, claim profiles, or submit missing ones.
• 6. Paid plans unlock additional features such as PDF export and watchlists.

证据

Search any person, company, institution or country. If it isn't in the index yet, it's researched from public sources on demand (about 25 seconds).

来源

Public sources → an LLM writes the text and pulls figures → a formula (not the LLM) assigns the tier.

来源

777 profiles, 3,127 connections, 1,648 sources, 40+ cities.

来源