Alumni signal: 6,140 ex‑Big Tech founders and C‑levels from a people database, with Apify and Claude Code

Описание и применение

Список из 5 991 уникального бывшего топ‑менеджера и основателя крупных технологических компаний собран с помощью Apify и Claude Code, позволяя заинтересованным сторонам быстро и целенаправленно связываться с потенциальными партнёрами.

Задача

Stakeholders need timely lists of former Big Tech founders and C‑levels to target for investment, partnership, or recruitment, but existing announcements are late.

Результат

The process yielded a curated list of 5,991 distinct ex‑Big Tech founders and C‑levels, with detailed segmentation and a subset of 300 profiles for deeper career insight.

Рабочий процесс

• Define filter JSON with mode, countries, pastEmployerDomains, leftPastEmployerAfterYear, seniority
• Run Apify actor in count mode to verify segment size
• Run actor in people mode with profileDetail: "row" and maxResults: 4500
• Run second actor run excluding first dataset to capture remaining 1,491 rows
• Merge results, deduplicate historical snapshots
• Export final list of 5,991 distinct people
• Optionally pull profile tier data for 300 people with compact:true

Доказательства

6,140 people.

Источник

Run 1, maxResults: 4500: 11 minutes 32 seconds, 4,500 rows.

Источник

Run 2, the same input with "excludeDatasets": ["<dataset id of run 1>"] and maxResults: 2500: 6 minutes 19 seconds, 1,491 rows

Источник