layoffs

📜 List of notable tech companies in Singapore

Job search resources for tech, design, and web development-related jobs for workers impacted by the COVID-19 pandemic

Open US layoffs tracker built on WARN Act filings

Track and Document Your Weekly Work with devtrackr!

Prompt toolkit for laid-off workers and career transitioners to map their work, preserve their story, and generate resume/interview assets without copying confidential company materials.

Open-source workers' rights toolkit for layoffs: severance calculators, guides, AI simulation, layoff intel, and GitHub-based community contributions. 打工人裁员维权开源工具站：赔偿计算、失业金估算、维权指南、AI 裁员模拟、裁员情报与 GitHub 协作投稿。

Layoff Lens (Group 11) - A workforce trend dashboard for job seekers.

Interactive dashboard tracking 2,412 tech layoffs (2020-2025) · DuckDB · Streamlit · layoffs.fyi data

A Trillion Dollars and a Firebomb: The Parallel Realities of the AI Era / 1兆ドルと火炎瓶。AI時代の同時加速する現実。

SQL project analyzing company layoffs over the past 3–4 years. Includes data cleaning (handling duplicates, nulls, formatting, standardize data ) and exploratory data analysis (EDA) to identify layoff trends. @AlexTheAnalyst

an experimental layoff tracking repo for the recent tech layoffs in the United States

Recently, Meta lately let go 13% of its staff, or further than 11,000 people, due to the recent profitable recession. This dataset was created with the expedients that it'll help the Kaggle community examine the current technological earthquake and unearth perceptive facts.

Performed data visualization using Tableau to track and analyze tech layoffs trends. Obtained data from Kaggle, utilized various charts to communicate insights, user-friendly interface.

LayoffsTracker is a data visualization dashboard focused on tracking layoffs in the tech industry. It provides insightful, real-time charts and timelines to explore job cuts by company, date, and sector.

Full SQL project using MySQL to clean and analyze a real-world tech layoff dataset from 2020–2023.

MCP server for commercial disruption intelligence, WARN and layoff signals, company context, geospatial territory analysis, and x402-ready agent workflows.

Full SQL project using MySQL to clean and analyze a real-world tech layoff dataset from 2020–2023.

This project is about cleaning and preparing a global layoffs dataset for analysis, focusing on handling null values, correcting data types, and ensuring data integrity for more accurate insights.

This report highlights key insights into the global layoff trends from 2020 to 2023, providing a comprehensive analysis of the recent developments in employee layoffs worldwide.

Unofficial project to automatically run BigLocalNews' WARN (layoff notice) scraper, commit what it finds