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

Description and use

ApexHierarchy ranks people, companies, and institutions on a unified eight‑tier scale using an LLM for text generation and a deterministic formula for tier assignment.

Problem

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

Outcome

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

Workflow

• 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.

Evidence

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).

Source

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

Source

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

Source