Live Job Ingestion
Queries HiringCafe directly for active postings. Filter by country, remote policy, and role keyword without relying on stale static datasets.
Real-time skill demand and salary benchmarks from live tech jobs.
StackCheck queries HiringCafe, extracts technical requirements from raw job descriptions, weights required skills, and computes market intelligence in an interactive local dashboard.
$
curl -fsSL https://raw.githubusercontent.com/haydermuhib/StackCheck/main/install.sh | bash
Web Analytics GUI
Visual tech market intelligence
Inspect real-time skill demand, compensation benchmarks, seniority spreads, and job postings in an interactive local dashboard.
01
Executive Market Overview
High-level KPI metrics, delta trend badges, section-weighted skill frequency rankings, and domain category breakdown.
02
Geographic Compensation
Categorical strip plot with horizontal jitter showing individual posting salaries across countries with median benchmarks.
03
Experience & Employer Analytics
Entry vs. senior skill expectation differentials, compensation bands table, hiring employer rankings, and stack density.
04
Interactive Job Explorer
Sortable and filterable data grid with extracted technology tags, standardized salaries, workplace modes, and direct links.
Engine Capabilities
Built for accurate market measurement
StackCheck ignores promotional keywords and analyzes requirement depth, compensation brackets, and multi-skill pairings.
Section-Aware Weighting
Applies a 1.8 multiplier to hard requirements and qualifications, while casual mentions in overviews receive standard 1.0 weight.
Skill Co-Occurrence
Reveals which technologies appear together in the same listing, identifying common combinations such as Python with Snowflake or React with TypeScript.
Normalized Compensation
Standardizes hourly, monthly, and yearly wage disclosures into annual USD brackets with 25th, median, and 75th percentile marks.
Zero-Install Runtime
Ships as a standalone binary for Linux, macOS, and Windows. Run checks without setting up a local database or virtual environment.
Structured Data Exports
Export query outputs directly to stdout, markdown tables, CSV files, or clean JSON objects for automated pipelines and dashboards.
Data Pipeline
Four stages from raw text to market metrics
How StackCheck transforms unstructured job postings into verified skill demand.
STEP 01
Ingest
Queries the job search API, retrieves active postings matching your search filters, and caches responses locally.
STEP 02
Segment
Identifies document boundaries, separating role overviews, mandatory qualifications, and benefit summaries.
STEP 03
Weight
Matches skills against an alias dictionary and calculates weighted scores based on section priority.
STEP 04
Report
Generates terminal summaries, co-occurrence correlation scores, and interquartile compensation spreads.
Installation
Get started in seconds
Choose your platform below to install the StackCheck binary or run directly with Python.
curl -fsSL https://raw.githubusercontent.com/haydermuhib/StackCheck/main/install.sh | bash
Installs the standalone binary to ~/.local/bin/stackcheck. No Python runtime required.
curl.exe -L "https://github.com/haydermuhib/StackCheck/releases/latest/download/StackCheck-windows-x64.exe" -o StackCheck.exe; .\StackCheck.exe
Downloads the standalone binary directly without dependencies. If SmartScreen prompts, select More info > Run anyway.
pip install git+https://github.com/haydermuhib/StackCheck.git
Requires Python 3.10 or later. Works within existing virtual environments.
docker run --rm -it ghcr.io/haydermuhib/stackcheck query "backend"
Runs within an isolated lightweight container.
Brand Resources
Official Brand Identity Kit
Download official StackCheck logos, app icons, and vector symbols in dark, light, and monochrome formats.
#0284C7
#38BDF8
#090D16
#F8FAFC
Strata S Identity System
The Strata S mark represents multi-layered data ingestion and section-weighted market intelligence. The brand kit includes clean vector graphics, transparent raster exports up to 1200px, favicon formats, and usage guidelines.
- Vector Assets: SVG (Color, Light, Dark, Monochrome)
- Raster Exports: PNG (16px to 1200px), ICO, Apple Touch
- Typography: Inter (Display), Open Sans (Body), Inconsolata (Code)
- License: Open source brand kit for media and integration