Real work. Real results.

Our Work

SaaS products we own, client builds we shipped, and past projects that shaped how we build.

B2B SaaS

DealrDash

Multi-tenant DMS for car dealerships.

B2B platform built for automotive dealerships to manage inventory, track leads, and generate sales reports — all under one roof. Multi-tenant architecture supports multiple dealership locations from a single dashboard.

Next.jsNestJSPostgreSQLTypeScriptVercel
dealrdash.com
B2B SaaS

Zavara Studio

AI-first SaaS for jewelry businesses.

Built for jewelers who need AI to handle repetitive work — generating product descriptions, drafting client communications, and keeping catalog data organized. AI-native from day one, not bolted on.

Next.jsOpenAITypeScriptNode.jsVercel
zavarastudio.com
Consumer App

Halal Compass

Consumer app for halal discovery.

Location-based platform for discovering halal restaurants, grocery stores, mosques, and events. Built with a cross-platform mobile app (React Native) and a web dashboard backed by NestJS APIs.

Next.jsNestJSReact NativePostgreSQLMaps
thehalalcompass.com
Client Work

SF Legacy Motors

Custom web presence + CMS for an automotive dealership.

Full website build for a car dealership client — custom inventory display, lead capture forms, and a Sanity CMS backend so the client can manage listings without touching code.

Next.jsSanity CMSTypeScriptTailwind
sflegacymotors.com
Client Work

Zebaish

Bespoke showcase site for a jewellery client.

High-end showcase and e-commerce site for a jewellery business. Sanity CMS backend lets the client update collections independently. Custom design focused on product photography presentation.

Next.jsSanity CMSTypeScriptTailwind
zebaish.ca
Past Project

Trakart

LinkedIn for creatives — a portfolio social network.

Startup project: a social platform where creatives could showcase work, follow peers, and get discovered by studios. Full AWS infrastructure, React frontend, and a custom matching algorithm for creator discovery.

ReactAWSNode.jsDynamoDB
Past Project
Past Project

Virtual TA

AI teaching assistant with RAG for university courses.

AI-powered teaching assistant that answered student questions by retrieving context from course materials using RAG. Reduced TA workload and gave students instant, accurate answers grounded in actual course content.

Next.jsOpenAIRAGPythonPostgreSQL
Past Project

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