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

Description and use

StackCheck is an open‑source tool that parses live job postings to weight skill importance, standardize salary percentiles, and reveal technology co‑occurrence, all processed locally without cloud dependencies.

Problem

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

Outcome

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

Workflow

• 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

Evidence

Pulls live postings matching your search criteria directly from HiringCafe.

Source

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

Source

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

Source

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

Source