Build a Nurse Staffing Marketplace Platform

1. 1

   Pick a wedge the giants ignore

   One metro, one facility type (skilled nursing and post-acute facilities adopt faster than hospitals), one specialty pool. Marketplace physics punish going wide early: you need enough nurses and enough shifts in the same place at the same time, and that only happens in a tight wedge.

2. 2

   Solve credentialing as the core product

   The real friction is not matching, it is trust: license verification, certifications, background checks, immunization records, and facility-specific requirements, all current and auditable. A platform that keeps a nurse's compliance file portable and always green is the feature facilities actually buy; treat the matching feed as the interface, not the moat.

3. 3

   Run it manually before you scale it

   Operate as a concierge service first: a spreadsheet, a group chat, and you doing the matching. Every manual cycle teaches you which rules the software must encode (cancellation windows, no-show handling, floating policies, overtime math) and earns the case studies that sell the next facility.

4. 4

   Get the employment model right in writing

   W-2 versus 1099 classification for per-diem clinical staff is regulated and actively litigated terrain, and states differ; the wrong choice creates liability that ends the company. Healthcare employment counsel before launch, and workers comp and professional liability structured to match the model you choose.

5. 5

   Price below agencies, above sustainability

   Traditional agencies commonly mark up 30 to 60 percent over nurse pay; platforms win by taking a smaller cut (commonly 15 to 25 percent) while paying nurses more and billing facilities less. Model the unit economics per filled shift honestly, including support staff and bad debt, before promising anyone savings.

6. 6

   Add the predictive layer once data compounds

   With months of census, seasonality, and call-out patterns, the platform can start forecasting staffing needs 7 to 14 days out and pre-offering shifts before the crisis, which is the report's predictive-staffing idea folded in as your differentiating feature rather than a separate company. Enterprise hospital contracts come after the data proves you fill reliably.

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