GigYogi

MicrocosmWorks implemented a three-stage escrow flow: the client deposits payment when accepting a bid, funds are held in escrow during job execution, and released to the gig worker only after the client confirms satisfactory completion. Dispute resolution triggers a review process with evidence submission from both parties. The system handles partial releases for milestone-based jobs and automatic release after a configurable waiting period.

MicrocosmWorks built GigYogi using React Native for the mobile frontend, enabling a single codebase to target Android with iOS readiness. The Node.js backend runs on AWS with MySQL for relational data like user profiles, jobs, bids, and transaction history. Real-time messaging uses WebSocket connections for instant communication between workers and clients. The payment gateway integration handles both escrow deposits and worker payouts.

MicrocosmWorks built GigYogi's matching system with location-based job discovery, skill category filtering, and a bidding mechanism where workers submit proposals with pricing and timeline. Clients receive ranked bids based on worker ratings, completion history, and proximity. Push notifications alert workers about new jobs matching their skill profile, and the in-app messaging system enables pre-hire communication for scope clarification.

MicrocosmWorks implemented a two-way rating system where both clients and gig workers rate each other after job completion. Ratings cover quality, communication, timeliness, and professionalism, with written reviews visible on profiles. The system calculates aggregate scores that influence search ranking and bid visibility, incentivizing reliable behavior. Fraudulent review detection flags suspicious patterns for platform moderation.

MicrocosmWorks built GigYogi and launched it on Android with a Node.js backend deployed on AWS. At MicrocosmWorks development rates of $15-$35/hr, a similar gig marketplace app typically costs between $15,000-$35,000 for the initial build. The AWS infrastructure and MySQL database architecture are designed to scale geographically with location-based sharding, so expanding to additional cities requires configuration changes rather than re-architecture.