Two-sided service matching — professionals and clients choose each other
A marketplace that connects freelancers and clients like a dating app. Each service has its own availability regime. Chat only opens on mutual interest — no credits, no spam, no middleman.
Gig is a services marketplace that applies dating-app logic to connect professionals and clients. Instead of professionals paying to chase leads, both sides browse a card feed and chat only opens when there's mutual interest — a real match.
The core entity is not the professional but the listed service. A single professional can have multiple active services with completely different availability regimes.
A fifth regime (Salon) is documented for a later phase: fixed daily slots with variable durations per service type, competing with Booksy.
Each professional gets a public page at gig.app/name with services, job history and reviews. Works as a digital business card even with zero clients on the platform — solving cold start through organic distribution.
Two independent controls per service: open to new clients (pauses matches) and schedule availability (time slots). Never mixed — this separation is a core design principle.
Dominant Brazilian service marketplaces like GetNinjas and Workana are not true marketplaces — they're lead generators.
How GetNinjas works:
The professional pays to try, with no return guarantee. The platform profits from lead volume, not quality. Incentives are fundamentally misaligned.
How Gig changes this:
| Dimension | GetNinjas | Gig |
|---|---|---|
| Model | Professional pays per lead | Platform earns on the relationship |
| Contact | Purchased with credits | Direct after mutual match |
| Quality | Spam of generic proposals | Qualified matches on both sides |
| Availability | Free text field | 4 structured regimes |
| Portfolio | Locked inside platform | Public shareable URL |
Incentive alignment is the most defensible moat: Gig only earns when the job actually happens.
M1–2 — Foundation
gig.app/nameM3–4 — Trust
M5–6 — Retention and monetization
M7+ — Expansion
Vertical launch — one city, one or two categories — to validate the model before scaling.
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