Get Optimise – AI-Powered SaaS Platform

Get Optimise

An AI-powered SaaS platform that streamlines business workflows, surfaces insights, and automates routine tasks.

My Role

Full-Stack Developer

Scope

End-to-end build & deploy

Stack

Next.js (TS), Better Auth, Stripe, MySQL + Drizzle, Python (Flask/FastAPI)

Project Overview

Get Optimise is an AI-powered SaaS application designed for teams to automate workflows, make data-driven decisions, and manage subscriptions seamlessly. The frontend is built with Next.js (TypeScript), the backend uses MySQL with Drizzle ORM for type-safe access, and AI features are powered by Python services (Flask/FastAPI). Stripe handles secure subscription billing.

My Role

I owned the full lifecycle from architecture to deployment.

Frontend: Next.js (App Router) with TypeScript and reusable UI patterns.
Backend: MySQL + Drizzle ORM for schemas, migrations, and queries.
AI Services: Python microservices for inference, recommendations, and content generation.
Auth & Payments: Better Auth for RBAC + sessions; Stripe for subscriptions and invoices.
Infra: Containerized services with secure environment configuration and CI/CD.

Key Features

🤖 AI Automations

Python ML pipelines generate insights, recommendations, and smart summaries from business data.

🧱 Typed CRUD Modules

End-to-end Create/Read/Update/Delete flows with TypeScript safety and Zod validation.

💳 Subscriptions

Stripe billing, trials, proration, and webhooks synced to user roles via Better Auth.

Architecture

Frontend

Next.js App Router with Server Actions for secure data workflows
TypeScript-first components and form validation (Zod)
Optimistic UI and streaming for perceived performance

Backend

MySQL with Drizzle ORM for schemas, relations, and migrations
Better Auth for RBAC, sessions, and OAuth2 providers
Stripe webhooks to sync subscription status → feature access
Python (Flask/FastAPI) microservices for AI inference & batch jobs

What I Optimised

Hardened security with role-based access, input validation, and least-privilege API design.
Reduced runtime errors via end-to-end type safety (TypeScript + Drizzle).
Stabilized billing flows by reconciling Stripe events with auth roles in real time.
Improved responsiveness using streaming UI and queue-backed AI jobs.

Outcome

A robust, scalable AI SaaS foundation: teams automate repetitive work, get actionable insights, and manage subscriptions without friction. The typed stack and clear service boundaries enable fast releases and confident iteration.

Tech & Tools

Next.js (TypeScript)MySQLDrizzle ORMBetter AuthStripePython (Flask/FastAPI)