The big caveat: compliance is uneven. Companies under 100 employees are exempt, and there is a documented pattern of employers paying WARN Act penalties retroactively rather than filing -- especially in fast-moving situations where 60 days advance notice is operationally inconvenient. So the signal has systematic gaps at exactly the moments of highest market interest.

Have you looked at coverage rates vs. announced layoffs (e.g., correlation with Challenger Gray reports or JOLTS)? That gap number is basically the signal noise floor for any quant strategy built on this data.

On the Charts page the selected time range is 12/01/2025 to 02/28/2026 and shows 106,603 employees affected. But the horizontal bar chart with state level data shows numbers in millions. For example, CA has more than 2 million and IL has more than 1.7 million employees affected. Then the layoff map at the bottom shows only layoffs in Texas.

Some of the entries pull up a page that says "Failed to load company data: No company name provided in URL" from the state specific view (e.g, any link on https://warnfirehose.com/data/layoffs/california ). Has a vibe-coded feel to it.

I saw a lot of "Purchase dataset for city details" in places which was annoying. Wondering how much processing is being done on the base dataset to justify the pricing. Could you explain a bit on the normalization/cleaning process?

- It has over 15k individual landing pages for search engines - a dedicated page for each city, state, company, county. These pages are very reach on how they look haha: - Exmaple: new jersey page-> https://warnfirehose.com/data/layoffs/new-jersey - Data is exportable to multiple format including json-d and parquet - i never heard of parquet before. - The site has MCP (model context protocol) built in ! - it accepts payments on multiple methods including paypal, apple pay, amazon pay, card etc. All refund and all built in. - It also has an invisible admin dashboard where I can see everything (all metrics, signups payments etc.) - Reports are crazy - these are genuinely better than someone writing at wallstreet journal, seriously. you would have to check to see them. - The api endpoints.

I am convinced the role Software engineer is going to go away by this year end. We are turning into builders, not coders. All SaaS apps are going to take big hit because they can be builkt better for fraction of cost by anyone - just think about it.

- Its all about ideas and anyone can do it.

The problem is WARN only fires when companies actually fire people. AI displacement doesn't really work that way, at least not yet. Customer support new hires dropped 65% in eight quarters (https://www.saastr.com/customer-support-hiring-has-fallen-65...).

Those roles just stopped being posted..