Built an open source tool to parse live job postings for actual tech stack requirements and salary percentiles

Описание и применение

StackCheck – открытый инструмент, который анализирует живые вакансии, выделяя важность навыков, стандартизируя зарплаты и показывая совместное использование технологий, при этом обрабатывая данные локально без облака.

Задача

Career advice often treats all skill mentions equally, making it hard to assess real tech stack demands and salary ranges for job seekers.

Результат

StackCheck delivers weighted skill importance, standardized salary percentiles, and technology co‑occurrence data from live job postings, all processed locally without cloud dependencies.

Рабочий процесс

• Pull live postings from HiringCafe based on search criteria
• Separate job descriptions into sections and weight hard qualifications higher than general overview text
• Normalize compensation disclosures into standardized annual USD brackets with 25th, median, and 75th percentiles
• Compute co‑occurrence matrices of technologies
• Store data locally in SQLite without cloud or telemetry
• Use CLI or local browser dashboard to inspect postings, sort by salary, and filter by workplace type

Доказательства

Pulls live postings matching your search criteria directly from HiringCafe.

Источник

Separates job descriptions into sections and weights hard qualifications higher than general overview text.

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Normalizes hourly, monthly, and international compensation disclosures into standardized annual USD brackets with 25th, median, and 75th percentiles.

Источник

Runs completely on your own machine. Data is stored in a local SQLite file with zero cloud accounts, telemetry, or mandatory API keys.

Источник