DEEPCOMPS · EDITORIAL TEAM

Editorial Team

DeepComps is a one-person editorial project. Every calculator, occupation page, license matrix, and transition-ROI page is sourced, modeled, and reviewed by the named founder. No anonymous content, no AI-generated career advice, no rewritten press releases.

How the editorial process works

  1. Sourcing. Every page declares the federal or professional-board dataset it draws from (BLS OEWS, BEA RPP, IRS Rev. Proc., state DOR, NCSBN, NASDTEC, ARELLO, PT Compact). Self-reported salary aggregators are explicitly excluded.
  2. Modeling. Calculator formulae and ranking math are open: every page links to the exact source release and the formula it applies. Where assumptions matter (single filer, no itemization, etc.), the page says so before showing the number.
  3. Versioning. Every data-driven page carries a "last synced" date. Quarterly, the underlying datasets are re-pulled and diffed. Material changes are recorded in the changelog.
  4. Corrections. Reader-submitted corrections are acknowledged within two business days and resolved within five. Process documented in our Corrections Policy.

Marcus Liang — Founder & Editor

Role: Founder of DeepComps. Owns every layer of the site — data ingestion (BLS OEWS, BEA RPP, IRS Rev. Proc., state DOR brackets), the per-state tax-computation engine, the real-wage rankings, and the editorial voice on every hub.

Background: Independent labor-market researcher. Started DeepComps in 2026 after spending years frustrated by the gap between official federal compensation data and the consumer-facing salary tools that bury it in self-reported survey data and sponsored content. Wrote the wage-RPP-tax pipeline single-handedly to prove the alternative was tractable.

Focus areas: BLS OEWS × BEA RPP real-wage methodology, IRS bracket-stack modeling for all 51 jurisdictions, occupation crosswalks (SOC ↔ O*NET), interstate license-reciprocity coding (NLC, PT Compact, NASDTEC).

Independence: No active employment, equity, contractor, or paid-advisor relationship with bootcamps, certification vendors, recruiters, staffing agencies, or career-coaching services. Affiliate links, where they appear on transition or comparison pages, are clearly labeled and don't influence the rankings or the calculator outputs.

Contact: [email protected]

Independence & conflicts

DeepComps is fully self-funded. There are no investors, no sponsors, no paid placements on any data-driven page. Affiliate disclosures — where they apply on a small number of transition pages — are inline. Any future change to this policy will be disclosed here, dated, and recorded in the changelog.

Want to contribute?

Occupation deep-dives, particularly licensed trades, healthcare specialties, and emerging interstate-compact professions, are open to contributing analysts. Pitches with a draft outline and links to prior published work go to [email protected]. Generic guest posts, sponsored content, and AI-generated drafts are not accepted.