Layoffs.fyi is a comprehensive, live-tracking platform dedicated to documenting layoffs within the technology and startup sectors. Established by startup founder Roger Lee, the project has been actively monitoring and aggregating data regarding industry-wide workforce reductions since March 2020. The platform serves as a central repository for information, providing transparency for researchers, job seekers, and industry analysts interested in the shifting landscape of employment in the tech world. By maintaining a constant feed of layoff announcements, the site provides a real-time perspective on how various companies are adjusting their staffing levels across different years and economic climates.

The platform functions primarily as an interactive tracker that lists companies in reverse chronological order based on their most recent layoff announcements. It compiles data points such as the number of affected employees and the specific organizations involved, providing a clear snapshot of current hiring and downsizing trends. Users can access detailed lists of layoffs and visual charts that help clarify the scale and frequency of job losses over time, making it an essential resource for those monitoring the tech job market.

Some of the key features are:

• Live Layoff Tracker: Provides a real-time, frequently updated feed of technology and startup industry layoffs occurring globally.
• Historical Data Visualization: Offers charts and year-by-year breakdowns to help identify long-term trends in workforce reductions.
• Community Crowdsourcing: Enables users and industry insiders to submit information or share layoff lists to help maintain the accuracy and completeness of the data.
• Publicly Accessible Database: Allows for searching and filtering through company records to understand the impact of sector-wide layoffs.

Layoffs.fyi operates by gathering reports and public disclosures regarding company workforce adjustments and presenting them through a web-based dashboard. Visitors can browse the latest entries directly on the site, where the data is presented to ensure maximum visibility for both affected employees and prospective employers. The project relies on a combination of official company news, industry reports, and contributions from the community to verify and update the records, ensuring that the information remains as reliable and current as possible.

Some common use cases include:

• Job Search Support: Helping laid-off employees gain visibility by providing a centralized list of affected personnel that hiring companies can reference.
• Market Analysis: Assisting journalists, analysts, and recruiters in tracking the economic health of the tech startup ecosystem over several years.
• Strategic Planning: Enabling companies and investors to identify industry trends and shifts in capital allocation that lead to large-scale employment changes.
• Academic Research: Providing a historical dataset for studies regarding the impact of economic volatility on the technology industry.