ReBoost

05Deep dives

Real results.Real impact.

5 projects, unpacked — the challenge, what we built, and the numbers that followed.

01Food Delivery Marketplace

Orderitu: Full-Scale Food Delivery Marketplace

Multi-sided platform matching the depth of Uber Eats and Toters

Client

Orderitu

Duration

6 months

Team

4 developers

Orderitu: Full-Scale Food Delivery Marketplace

2,000+

Users in 2 Months

Acquired in under two months post-launch

Thousands

Active Users

Grew into thousands of active users shortly after

9

Order States

Real-time tracking with live driver location

4

Apps Delivered

Customer app, driver app, admin, and website

The challenge

The client needed a production-ready, white-label food delivery platform supporting customers, restaurants (including multi-branch groups), freelance drivers, driver companies, and administrators. The system had to handle real-time order tracking, payments (cash + card with 3DS), in-app calling, complex menus with variants and add-ons, promo codes, commissions, and multi-branch restaurant management—all with sub-second reliability during peak hours.

What we built

We built a full-stack marketplace with a React Native (Expo) customer app, driver app, and admin dashboard, plus a Node.js backend with PostgreSQL and Prisma. Real-time infrastructure uses Socket.IO for orders, live driver location, and chat. We implemented CyberSource for card payments, CallKeep for in-app calling between customers and drivers, and a flexible model supporting both freelance drivers and driver companies with a credit system. Restaurants can manage multi-branch menus centrally or per-branch, with advanced pricing, commission controls, and free-delivery rules.

React NativeExpoNode.jsTypeScriptPostgreSQLPrismaSocket.IOFirebaseCyberSourceMaps

02AI-Powered SaaS Platform

SubAI: AI-Powered Project Management for Subcontractors

Revolutionizing how subcontractors manage projects with intelligent automation

Client

Internal Product

Duration

6 months

Team

4 developers

SubAI: AI-Powered Project Management for Subcontractors

10+ hrs

Time Saved

Weekly time saved on administrative tasks per user

40%

Invoice Collection

Faster payment collection with automated reminders

100%

Project Visibility

Real-time visibility into all projects and tasks

50+

AI Suggestions

Daily AI-powered recommendations across all users

The challenge

Subcontractors in construction, plumbing, electrical, and HVAC industries struggle with fragmented tools for managing projects, clients, estimates, invoices, and tasks. They often rely on spreadsheets, paper-based systems, or multiple disconnected apps, leading to missed deadlines, lost revenue from unpaid invoices, and poor client communication. We set out to build an all-in-one platform with AI assistance to streamline their entire workflow.

What we built

We developed SubAI, a comprehensive mobile-first SaaS platform specifically designed for subcontractors. The platform features intelligent project management with client tracking, estimate generation, invoice management, and task scheduling. The standout feature is the AI assistant that provides proactive suggestions, generates reports, helps with follow-ups, and answers questions about project status. The system includes smart notifications for deadlines, overdue payments, and AI-driven recommendations for next actions.

React NativeNode.jsPostgreSQLPrismaOpenAI GPT-4TypeScriptExpoSocket.IO

03AI Fitness Platform

Reflex: AI Fitness Coach That Runs the Whole Stack

Training, nutrition, and progress — one AI coach instead of a pile of disconnected fitness apps

Client

Internal Product

Duration

4 months

Team

3 developers

Reflex: AI Fitness Coach That Runs the Whole Stack

22+

App Screens

Core flows across home, train, nutrition, and reports

15+

AI Capabilities

Onboarding, coaching, nutrition, and insight generation

9

Onboarding Steps

Conversational wizard that personalizes the full plan

3

Product Surfaces

Mobile app, API/workers, and marketing website

The challenge

Most fitness apps stop at logging workouts or counting calories. Users bounce between trainers, meal planners, and progress trackers — and still lack a coach that understands the full picture. We set out to build an AI fitness platform that owns the entire stack: onboarding, macros, meal plans, training programs, food logging, sessions, and reports — with a conversational coach at the center.

What we built

We designed and engineered Reflex end-to-end: an Expo mobile app, Node.js API with background workers, PostgreSQL/Prisma data layer, and a Next.js marketing site. A 9-step conversational onboarding wizard captures lifestyle, work, and training context so the coach starts personal from day one. AI pipelines generate macros and meal plans, assist food logging, build and adapt training programs, and produce multi-section progress reports. The product ships as a cohesive dark, premium experience across home, train, nutrition, analytics, and AI chat.

React NativeExpoNode.jsTypeScriptPostgreSQLPrismaOpenAINext.js

04AI-Powered Platform

AI Call Center Assistant for Restaurants

Reimagining customer support with real-time AI

Client

Confidential (Internal Product)

Duration

8 weeks

Team

2 developers

AI Call Center Assistant for Restaurants

3+

Languages Supported

Arabic, English, and French from day one

700ms

Latency

Average AI response time during voice calls

85%

Automation Rate

Customer requests handled without human intervention

3

Channels Integrated

Phone, WhatsApp, and Website Chat

The challenge

Restaurants were overwhelmed with calls for orders, cancellations, and support—often missing opportunities due to limited staff. We set out to build a real-time AI assistant that could handle voice and text interactions, understand customer intent, and perform actions like placing or canceling orders, all while staying highly responsive.

What we built

We developed a full-stack AI-powered call center using ChatGPT APIs, Whisper for speech-to-text, and WebRTC with Socket.IO for real-time audio streaming. The system uses dynamic prompt engineering, handles WhatsApp and phone calls, and responds instantly to users through voice or messaging. A custom rules engine lets restaurants define actions, intents, and integrations with their menus and CRM tools.

Node.jsSocket.IOWebRTCOpenAI GPT-4oWhisperPostgreSQLPrismaDeepSeek

05EdTech Platform

Educify: Next-Gen Learning Platform

Redefining how students and tutors connect online

Client

Educify

Duration

3 years

Team

6 developers

Educify: Next-Gen Learning Platform

3K+

Teachers Onboarded

Verified tutors across various subjects

300K+

Codebase Size

Lines of production-grade code

25+

Features Shipped

Major user-facing modules

3 years

Development Span

Continuous product evolution

The challenge

Educify set out to build a full-scale educational platform connecting students with tutors for live sessions, courses, and group lessons. The challenge was to develop a deeply featured system from scratch—capable of handling payments, scheduling, messaging, video streaming, and user management—while maintaining clarity and performance across the codebase.

What we built

Over three years, we developed a robust and modular platform using React, Node.js, PostgreSQL, and Prisma. The system included profile customization, tutor booking, live video classes, course management, messaging, payments, reviews, and an intuitive admin panel. With thousands of teachers onboarded during early traction, Educify’s codebase evolved into one of our most comprehensive projects.

ReactNode.jsPostgreSQLPrismaSocket.ioStripeFFmpegPayPalWise APIFigma
ReBoost didn’t just build Educify — they challenged our thinking and made the platform stronger. Their input went beyond development. They truly cared about the product and our long-term goals.
Sam

Sam

Founder at Educify

Ready when you are

Your product could be the next chapter.
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