DEEPCOMPS · ABOUT
About DeepComps
A labor-market analysis lab that publishes the math behind compensation and career decisions — sourced from BLS, BEA, O*NET, and professional licensing boards. No self-report aggregation, no career-coach opinions, no opaque salary "estimates."
What we publish
Three things, all backed by federal datasets:
- Real-wage tables — BLS Occupational Employment Statistics adjusted by BEA Regional Price Parity, so a $135K offer in San Francisco can be compared honestly against $108K in Austin.
- License reciprocity matrices — current member states, pending bills, endorsement steps, and primary-state-of-residence rules for nursing, physical therapy, real estate, and teaching.
- Career transition ROI — O*NET skill-gap math + program tuition + multi-year NPV. Every assumption editable.
What we don't do
- Aggregate self-reported salary data (selection bias is severe and well-documented).
- Hand out "career advice" — we publish numbers and frameworks; you decide.
- Run sponsored content. Affiliate links, where present, are clearly labeled and don't influence rankings or formulas.
Editorial principles
- Show your work. Every calculator publishes its formula. Every page links to its underlying data source.
- Federal first. BLS, BEA, O*NET, and professional-board data take precedence over crowd-sourced datasets.
- Update visibly. "Last synced" timestamp on every data-driven page. Changelog for monthly diffs.
- Acknowledge uncertainty. When a dataset is thin or proxied, we say so on the page rather than masking it.
Who runs this
DeepComps is published by an independent labor-market analyst. We're not a recruiter, exam-prep vendor, bootcamp, certification provider, or career-coaching service — those businesses have legitimate reasons to bias salary or transition figures, and we don't share their incentives.
Contact
Editorial corrections, data-source suggestions, and partnership inquiries: hello@deepcomps.com.