Custom backend vs. off-the-shelf platforms
Teams often ask us whether to buy a platform or build a backend. The difference changes control, cost, and how unique your product logic can be.
| Platform / BaaS | Custom backend | |
|---|---|---|
| Speed to start | Often faster for common patterns | Faster when requirements are unusual or tightly coupled |
| Flexibility | Limited by vendor boundaries | Shaped around your domain, data, and workflows |
| Long-term cost | Can rise with usage and add-ons | Higher upfront, more control over growth and ops |
| Best fit | Standard CRUD and early prototypes | Differentiated products with serious reliability needs |
Bottom line: buy when the platform fits the product. Build when the backend is part of how you compete.
The stack we reach for, and why
We are not loyal to a framework. We are loyal to small teams being able to operate what we hand them, which usually points at boring, well-understood tools.
Ruby on Rails
Our default for products where a small team needs to move fast and keep operating the system afterward. Rails covers an enormous amount of ground out of the box, which means less bespoke infrastructure to maintain. Polarity runs on Rails 8 with Hotwire.
Node.js and Next.js server capabilities
A good fit when the team is already TypeScript-heavy and the backend work sits close to the frontend, letting one language and one deployment cover both.
Elixir and Phoenix
Worth reaching for when the product is genuinely real-time or concurrency-heavy, where the runtime does work that would otherwise require significant custom engineering.
PostgreSQL, always
Relational by default. Most products that reach for something exotic early end up reimplementing joins and transactions later. Postgres handles far more scale than most teams expect, and it fails in ways that are well documented.
What reliable actually means
Reliability is not a feature you add at the end. In practice it is a handful of unglamorous commitments: validation at the boundary so bad data never lands, explicit failure handling for every external call, durable background jobs with retries for anything slow, an audit trail for anything involving money or permissions, and monitoring that tells you a problem is happening before a customer does.
On Polarity that meant a seven-stage enforcement pipeline running unattended through background jobs, automatic payment retries, and multi-party payouts that had to reconcile correctly every time. Those are the paths where being mostly right is the same as being wrong.
Why teams hire Hardihood for backend development
A backend only earns its place if it matches your product’s real workflows and failure modes. We pair API and data design with the frontend, mobile, and product context so the system stays understandable after launch, not just on day one.
If you're exploring how we partner, see engagement models, browse client work, or read more in our FAQ.