MyShopWork came to us with a clear problem: local service marketplaces were broken. Existing platforms charged too much, had poor UX for service providers, and did not handle the unique scheduling needs of shop-based businesses.
They needed a working product to prove demand and raise seed funding. They had limited runway and a target investor meeting 12 weeks out.
We built it in 10.
The Client's Situation
The founder had:
- Deep domain expertise (10+ years in the local services industry)
- Validated demand through manual matchmaking (spreadsheets and phone calls for 6 months)
- 50+ service providers already committed to joining a platform
- An investor meeting in 12 weeks
- Budget: approximately $25K
What they did not have:
- A technical co-founder
- Any existing code or technical infrastructure
- A clear feature specification (they knew the problem, not the product)
The Challenge
Building a marketplace is complex. You have multiple user types (customers, service providers, admins), scheduling logic, search and discovery, reviews, payments, and notifications. A "full" marketplace has 30+ features.
We had 10 weeks and $25K. That meant ruthless prioritization.
Discovery Week (Week 1)
We spent the first week defining what "done" meant. Not what the product would eventually become — what it needed to be for launch.
The core question: What is the minimum set of features that convinces investors this marketplace has real demand?
Answer: Customers find and book services. Service providers receive and manage bookings. Both sides have a reason to come back.
We cut the feature list from 28 items to 9:
In scope (V1):
- Customer search and discovery (by service type, location, availability)
- Service provider profiles with portfolio, pricing, and availability
- Booking flow (select service, choose time, confirm)
- Provider scheduling management
- Push notifications for new bookings
- Customer reviews after service completion
- Basic admin dashboard (user management, flagging)
- Provider onboarding flow
- Customer onboarding flow
Explicitly cut (V2):
- Payment processing (bookings confirmed, payment handled offline for V1)
- In-app messaging between customers and providers
- Loyalty programs
- Provider analytics
- Multi-location support
- Advanced recommendation engine
- Promotional tools
Cutting payments was the hardest decision. But payment integration would add 2–3 weeks, and the founder's existing providers were already handling payment manually. For proving demand, booking flow was enough.
Technical Decisions (Week 1)
Architecture
A marketplace needs to handle search well. We designed the database and API around search-first:
- PostgreSQL with full-text search and PostGIS for location queries
- Denormalized search index updated on provider profile changes
- API designed for fast, filterable queries (service type + location + availability)
Stack choices
- Next.js for the customer-facing web app — SEO matters for a marketplace
- React Native for the provider mobile app — providers manage bookings on their phones
- Node.js API — shared between web and mobile apps
- PostgreSQL — geographic queries, full-text search, relational data (bookings, reviews, users)
- Redis — caching search results, session management
Mobile strategy
Customers use the web (they search Google for services). Providers use the mobile app (they manage bookings throughout their day). This split let us optimize each experience for its primary use case.
The Build (Weeks 2–9)
Weeks 2–3: Foundation
- Database schema with 12 tables (users, providers, services, bookings, reviews, availability slots, notifications, categories, locations, images, admin_actions, sessions)
- Authentication for all three user types
- Core API endpoints for CRUD operations
- Basic web layout with search UI
- React Native project setup with navigation
Weeks 4–5: Core Flows
- Search with filters (category, location, availability, rating)
- Provider profile pages with portfolio images
- Booking creation flow (select service → choose slot → confirm)
- Provider app: view incoming bookings, accept/decline
Weeks 6–7: Scheduling and Notifications
- Provider availability management (weekly schedule, blocked dates, service duration settings)
- Availability calculation for booking slot display
- Push notifications (new booking, booking confirmed, booking reminder)
- Email notifications as backup
Weeks 8–9: Reviews, Admin, and Polish
- Post-service review flow (rating + text, 24 hours after booking completion)
- Admin dashboard (user list, flagged content, basic metrics)
- Provider and customer onboarding flows
- Performance optimization (search response time under 200ms)
- Bug fixes from internal testing
Challenges We Faced
Scheduling complexity
Calculating available slots sounds simple. It is not. A provider has a weekly schedule, blocked dates, existing bookings, service duration, and buffer time between appointments. Displaying accurate availability required careful logic and thorough edge case handling.
How we solved it: Built a dedicated availability engine that pre-calculates available slots nightly and updates in real-time when bookings are created or cancelled. This kept search fast (no complex calculations at query time).
Search performance
50+ providers is nothing. But the search needed to handle the eventual scale of thousands. We could not build something that worked at 50 and broke at 500.
How we solved it: PostgreSQL with proper indexing, materialized views for search, and Redis caching. Search responses averaged 80ms with the full dataset. Designed to handle 10,000+ providers without architectural changes.
Provider onboarding
Service providers are not always tech-savvy. The onboarding flow needed to be simple enough that someone unfamiliar with apps could complete it on their phone.
How we solved it: Guided multi-step onboarding with progress indication, image upload with preview, and pre-populated category selection. We tested with three real providers during development and iterated on their feedback.
The Result
Week 10: Launch
- Web app live at the production domain
- iOS and Android apps submitted to stores (approved within 3 days)
- 50+ service providers onboarded during beta week
- First real booking within 24 hours of public launch
8 weeks post-launch:
- 200+ completed bookings
- 4.6/5 average provider rating
- 35% customer return rate (customers booking again within 30 days)
- Seed funding secured — investors cited the working product and real traction data as key factors
What Made This Work
Ruthless scoping
Nine features, not twenty-eight. Every cut hurt. But launching in 10 weeks with a working product beat launching in 20 weeks with a "complete" product that still needed market validation.
Parallel development
Web and mobile developed simultaneously by splitting the team: 2 engineers on web + API, 2 engineers on React Native + shared components. Daily syncs ensured consistency.
Weekly demos with the founder
Every Friday: 30-minute demo of the week's progress. The founder gave immediate feedback. Misunderstandings were caught in days, not weeks.
Senior engineers, not juniors
A team of 4 seniors moved faster than a team of 8 juniors would have. Less coordination overhead, fewer bugs, better architecture decisions made quickly.
Technical Metrics at Launch
- Search response time: 80ms average, 200ms P99
- Page load time: 1.2 seconds (web, first contentful paint)
- App launch to usable state: 1.8 seconds
- Uptime: 99.9% in first month (one 15-minute incident)
- Zero critical bugs in first two weeks post-launch
Lessons for Other Founders
Cut payments from V1 if you can. Payments add 2–3 weeks and significant compliance complexity. If your users can handle payment offline for validation, defer it.
Search is the product for marketplaces. Invest in search architecture early. A marketplace with bad search is an empty marketplace.
Build for mobile where the action happens. For MyShopWork, providers live on mobile. Customers live on web. Build each where users naturally are.
Fifty committed users at launch beats a thousand signups. MyShopWork launched with 50+ providers ready to go because the founder spent 6 months building relationships manually before building software.
Working software raises money. Slide decks do not. The funded raise happened because investors could use the product, see real bookings, and verify traction — not because of a pitch deck.
The Kwiqwork Approach
MyShopWork followed our standard MVP process: 1 week of discovery, 8 weeks of development, 1 week of launch preparation. Fixed-price, 4 senior engineers, CTO-level architecture guidance throughout.
The code was production-ready from the start. No rewrite needed when they scaled. The same codebase handles their current load of thousands of monthly bookings — it just needed more providers and customers, not more engineering.
If you are building a marketplace or multi-sided platform, the scoping decisions are critical. We help you identify the smallest version that proves demand — then we build it fast.