Turn worker screenshots into bargaining-grade data

Gig workers already generate the data organizers need. MoneyLayer helps councils, unions, and advocacy groups collect it in a cleaner, consent-first way so members get portable records and the collective gets numbers it can actually use.

Right now a lot of gig-worker organizing runs on screenshots, exports, forwarded emails, and spreadsheets that were never meant to carry a serious bargaining case.

Coordinator
Advocacy group, union, or worker-led council
Participants
Gig workers sharing earnings and work data
Data value
Collective bargaining leverage, benchmarking, policy advocacy, eventually data revenue share back to workers.
The coordinator pattern
Coordinator, participants, and MoneyLayerOne coordinator collects structured data from many participants. MoneyLayer upgrades that mandatory flow with receipts, connected totals where possible, and settlement-ready outputs.Coordinatorcollects · settlesParticipantsowe structured dataMoneyLayerreceipts · provenance · settlement-ready rollups

MoneyLayer helps collectives turn that scattered evidence into a durable record: consent in place, member portability preserved, and reporting strong enough for bargaining, advocacy, and future worker-owned data programs.

What this looks like today

Members screenshot earnings pages, export CSVs, or forward weekly emails to an organizer's inbox. The organizer builds spreadsheets and PDFs to support bargaining or policy conversations.

The workers' own data is never organized at a level that could support either collective bargaining leverage or a data revenue share, even though both are on the table.

Members screenshot earnings pages, export CSVs, or forward weekly emails to an organizer's inbox.

Where the data value lives

  • Bargaining leverage: real wage and cost data across a meaningful member cohort.
  • Policy advocacy: numbers that hold up in city, state, and federal testimony.
  • Member benchmarking: where a worker sits relative to the cohort.
  • Consent-first data revenue share if a credible buyer emerges.
  • Portable earnings records for lending and housing applications.

How MoneyLayer fits

  1. Define the collective's data contract with members. What members submit, at what granularity, for what purposes. The collective owns the contract; MoneyLayer runs the workflow.
  2. Ingest member-contributed work data with consent. Platform exports, screenshots with OCR, and structured self-report. Consent and scope are explicit per member.
  3. Produce bargaining-grade rollups and member receipts. The collective uses the data for bargaining and advocacy. Members keep their own portable records and see how they compare.

Good fit / not yet

  • Good fit: organized worker councils, unions, and advocacy nonprofits with an active bargaining or policy target.
  • Good fit: collectives that have tried spreadsheet approaches and run into scale limits.
  • Not yet: unorganized workers without a coordinator entity.
  • Not yet: projects that treat worker data as a commodity rather than as worker property.

FAQ

Who owns the data?

The worker, with the collective acting as their coordinator. Consent and portability are design constraints, not afterthoughts.

Is this trying to replace a union platform?

No. MoneyLayer is the data-infrastructure layer behind a union or collective platform.

What about platforms that block exports?

Structured self-report and screenshot paths handle those; consistency and consent are the real bars.

See a collective pilot

Bring one organized council, union, or advocacy target. We will scope the intake flow, consent model, and reporting outputs around a live campaign.