Cosmic

Case Study

Evidence-based talent marketplace

Production stack in 6 days: 30 tables, ~470 tests

Custom production app · Recruiting

Diagram of uploaded documents becoming a candidate profile with cited sections, searched by a recruiter and an AI agent

The goal

Sell recruiters a subscription to searchable, cited evidence of what candidates have actually done, while candidates keep control of what gets published.

The problem

A resume compresses years of work into a page of claims. Recruiters can't see the work behind those claims, and candidates have no say in how their work gets pitched.

What we did

Candidates upload the documents they already have: PDF, Word or Excel. The app extracts the text privately, drafts a long-form account of the work with AI, suggests what to anonymize, and publishes only what the candidate approves, as a fixed snapshot they can update or take down.

Recruiters search by role, and every answer cites the section it came from. Their AI agents get the same read-only search through an MCP server, with hashed credentials and a log of every access. Row-level security in Postgres, fail-closed defaults and deletion receipts were in place before the first user.

The results

What it does for revenue

Margins
Recruiters pay a flat $80 a month, and the seat covers their authorized AI agents. The revenue is recurring from the first customer, with no placement fees to chase.
Leads
Every candidate who shares a profile brings a recruiter in free. Reading costs nothing, saving a profile needs a free account, and wider search is the paid tier.
Visibility
Published profiles are searchable by recruiters' AI agents over MCP, so candidates reach automated screening as well as human readers.
Speed to market
Six days from spec to a tested, deployed stack, so the business can start testing pricing with recruiters sooner.

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