Setting Up a New Application From Scratch

Recently, I’ve been setting up a new application from scratch. Not just writing code, but standing up the entire ecosystem around it, from domain to hosting to monetization. It’s been a useful reminder that building software in 2026 is as much about orchestration as it is about programming.

Here’s what I’ve been doing and what I’ve learned so far.

Starting With the Domain and Basic Infrastructure

The first step was claiming my own corner of the internet. I already had a domain, so I used Squarespace for DNS management and basic site configuration. It’s simple, reliable, and good enough for early-stage projects.

From there, I looked at layering in Cloudflare. This would give me better DNS control, SSL, caching, and basic protection without much effort. Cloudflare feels like the default “adult supervision layer” for any public-facing app. Even if the app is small, having HTTPS, DNS flexibility, and edge caching from day one makes things cleaner. The challenge I had here was that I'm not ready to commit to a disruption in my email service in case my Cloudflare configuration has any bugs. I'll finish that one later, and am considering purchasing an “apps” domain to use as a playground for this implementation.

Lesson: treat infrastructure like a product feature, not an afterthought.

Using AI as a Development Multiplier

The most interesting part of this build has been leaning heavily on AI coding assistants. I used ChatGPT, Claude, and Gemini.

Each has strengths. ChatGPT is strong at structured reasoning and refactoring. Claude is excellent for longer-context work and rewriting large files. Gemini has been surprisingly useful for quick iteration and alternate implementation ideas.

Rather than asking for “build my app,” I used them as accelerators:

• Generate boilerplate.
• Draft API routes.
• Refactor repetitive UI code.
• Suggest schema changes.
• Help debug error messages quickly.

What’s changed for me is not that AI writes the whole app. It’s that it compresses the “blank page” problem to near zero. I still review everything. I still make architectural decisions. But I move faster between idea and working feature.

The meta-skill becomes prompting clearly and evaluating output critically.

Hosting for Free (For Now)

Early-stage apps don’t need expensive infrastructure. They need validation.

For the static front end, I used GitHub Pages. It’s incredibly convenient: push to a repo, and you’ve got a live site. For static assets or simple front-end deployments, it’s hard to beat free and simple.

For the backend, I deployed to Render. Render offers a generous free tier, which is perfect when:

• Traffic is low.
• Cold starts are acceptable.
• You’re experimenting.

It’s not designed for high-scale production workloads, but that’s not the goal right now. The goal is to learn, iterate, and test assumptions with minimal burn.

This approach keeps infrastructure costs at essentially zero while I refine the product.

Planning for Monetization Early

I don’t want this to be just a technical exercise. I want it to be sustainable.

So I began the process of setting up Google AdSense to introduce ad-based monetization. The intent is straightforward:

1. Launch on low-cost or free infrastructure.
2. Drive traffic.
3. Use ad revenue to offset hosting costs.
4. Once revenue reliably covers server costs, migrate to AWS for more control and scalability.

I’m still waiting on AdSense approval, which is its own process. There are content requirements, policy reviews, and traffic considerations. It forces you to think about legitimacy and value early. That’s probably a good thing.

Monetization changes the mindset. When you attach even modest revenue expectations to a project, architecture decisions become economic decisions.

The Eventual Move to AWS

Long term, I expect to move the backend to AWS. Not because I need it today, but because I want:

• Predictable scaling.
• Better observability.
• Cleaner networking controls.
• More flexibility in architecture.

Right now, the app does not justify that complexity or cost. And that’s the key point.

Engineering maturity isn’t about choosing the most powerful infrastructure. It’s about choosing the infrastructure appropriate to the stage of the product.

If and when ad revenue consistently covers the hosting bill, that becomes the trigger to upgrade from Render to AWS. At that point, the migration is an investment backed by actual usage, not optimism.

What This Process Reinforced for Me

• You don’t need perfect architecture to start. You need something live.
• AI meaningfully lowers the friction of experimentation. The cost of trying a new feature is lower than ever.
• Free tiers are strategic tools. They buy you time and optionality.
• Monetization thinking should happen early. Even if it’s simple ads, revenue alignment clarifies decisions.
• Infrastructure can evolve with the product. You don’t need AWS on day one. But you should build in a way that makes migration possible.

Where Things Stand

• Domain is configured.
• DNS and SSL are handled through Squarespace.
• Front end is live on GitHub Pages.
• Backend is running on Render’s free tier.
• AdSense approval is pending.
• Architecture is intentionally lightweight but migration-aware.

It’s not a massive system. It’s not a venture-backed platform. It’s a disciplined experiment.

But that’s the point.

In 2026, the barrier to launching something real is lower than ever. The constraint isn’t tooling. It’s clarity, consistency, and willingness to ship.

This project is a reminder that you can stand up a functioning application, wire up infrastructure, incorporate AI into your workflow, and lay the groundwork for monetization with very little upfront cost.

Now the next phase begins: traffic, iteration, and learning whether the idea deserves to scale.