Physical distance should not limit opportunity.
D-GIG turns regional potential and youth capability into verified data
and opens a new trust-based career ecosystem.
D-GIG connects regional businesses and youth through local gig projects
Short-cycle regional projects create real deliverables and auditable work history
Verified process and outcomes are stored as LER data and converted into portfolio assets
Verified work data connects talent to skills-based remote and global hiring
$ ler-verify --candidate kim_daejeon_001 ✓ Project: Regional startup marketing analytics (4 weeks) ✓ Skills verified: Data Analysis · Figma · Copywriting ✓ Outcome score: 92 / 100 → Match: Fintech startup, remote contract
The core design flows are wired into real demo actions. Click a button to store events in localStorage and instantly update the Trust Graph, LER, and Security Stream on screen.
This layer does not judge people. It stores repeated behavioral records—help without reward, conduct under pressure, and re-selection—as user-owned self-records.
The current website is a Phase 0 demo. Completed records from Gig Match and LocalCrew flow into one Trust Graph and expand into the LER issuance layer.
Short-term 1–4 week postings with tag, region, and duration matching for rapid onboarding and local pilots.
Project → module → task structure with Maker/Reviewer review for B2B, local government, and university work.
Aggregates completion records, reviews, SLA, and QA into trust scores and converts them into verifiable career assets.
The architecture keeps the static marketing site while expanding the app layer with Vite + React + TypeScript and the data layer with Supabase Postgres + Auth + RLS.
LER is not mandatory for v1; it is an upgrade layer added once trust data accumulates. The long-term model uses five verification layers to block forgery, transfer, and falsified records.
The Supabase Realtime security event pipeline from the design file is reflected in this demo board. Events are pushed to the admin view immediately and classified by severity through an Edge Function.
Government-funded and confidential projects are separated from general projects, with gateway, DB, log, and audit zones isolated by tenant.
This is Phase 0 for investment and review. The next build prioritizes Auth/RLS, schema validation, security_events, and credential verification seeds.