Deploy New Project

My repeatable workflow for taking a new project from idea to live deployment

Overview

When I start a new project, I follow the same three-step process every time. It keeps things consistent, fast, and reliable. The core tech stack is almost always Python + Flask for the backend, PostgreSQL for the database, and Railway for one-click hosting + managed DB.

Step 1: Define Requirements & Specifications

Before writing any code, I clearly define what the project needs to do. I feed the requirements into a large language model (usually Grok or similar) to generate a detailed specification document.

Default tech stack I request:

Backend: Python with Flask
Database: PostgreSQL
User authentication:
- RegardingWork Hub (preferred for most internal tools or productivity projects)
- or GFAVIP wallet authentication (for ecommerce / Globla From Asia / crypto / Web3-related projects)

I also include all functional requirements, user flows, data models, API endpoints, and any special features unique to the project.

Step 2: Build & Deploy on Railway

Once the code is ready (locally tested), I deploy everything on Railway. Railway handles both the web app hosting and the managed PostgreSQL database in one place — no separate DB provider needed.

Deployment steps:

Push the repo to GitHub
Create a new project on Railway and link the GitHub repo
Add a PostgreSQL plugin (Railway provisions it automatically)
Set environment variables (DATABASE_URL is auto-injected, plus any secrets)
Trigger deploy — Railway builds and deploys on every push to main

For a detailed step-by-step guide, see my Railway Deployment Guide.

Step 3: Post-Deployment Testing

After the app is live, I immediately verify the critical paths:

User Authentication

Confirm that login/connect works correctly with either RegardingWork Hub or GFAVIP wallet (depending on which auth system was chosen for the project).

Database Connection

Test create/read/update/delete operations to ensure the Flask app can successfully connect to and modify the Railway PostgreSQL database.

Only after both pass do I consider the deployment complete and move on to further development or announcement.

Why This Workflow?

Keeping the stack and deployment process identical across projects saves hours of setup time, reduces bugs from configuration drift, and makes maintenance predictable. Railway’s all-in-one hosting + database has proven extremely reliable for my use cases.