Fly.io vs Railway for Hobby Projects (2026)

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You’ve got a side project — a Discord bot, a small SaaS, a personal API, maybe a weekend experiment you actually want to share with people. You need somewhere to host it that won’t bankrupt you when it gets zero traffic at 3am, won’t make you wrestle with Kubernetes configs, and won’t randomly kill your app because you forgot to top up a credit card. The two names that keep coming up are Fly.io and Railway. So which one do you actually pick?

I’ve run hobby projects on both platforms — a Next.js app with a Postgres database on Railway, a Rust API and a Go scraper on Fly.io, plus a handful of smaller experiments on each. Here’s the honest breakdown, without the marketing fluff.

TL;DR — Quick Verdict

How I Evaluated These Platforms

I’m not benchmarking enterprise workloads here. The criteria are specifically tuned for hobby projects and side work:

• Free tier generosity — can you actually run something without paying?
• Cold start behavior — what happens to your app after it sits idle for a few hours?
• Deploy experience — how painful is the first deploy and the tenth?
• Database handling — Postgres especially, since most side projects need one
• Pricing predictability — no surprise bills on a project that got Hacker News traffic for one day
• Ecosystem and community — will you find answers when things break at 11pm?

Railway: The Developer Experience Benchmark

Railway is the closest thing to Heroku’s original promise that still exists in 2026. You connect a GitHub repo, Railway detects what you’re running (it’s surprisingly good at this — it correctly identified a Bun + Hono project I threw at it without any hints), and you’re deployed in under two minutes. That’s not marketing copy, that’s genuinely what happens.

The dashboard is clean. Adding a Postgres database is three clicks and the DATABASE_URL environment variable appears automatically in your app’s environment. I’ve migrated projects from Heroku to Railway and the process was shockingly painless — you can read about the messier parts of doing that at scale in this honest account of migrating 14 projects from Heroku to Railway in a single weekend.

Railway’s Free Tier (The Honest Version)

Railway’s free tier gives you $5 of credit per month. That sounds small, but for a hobby project that isn’t getting hammered, it goes further than you’d expect. A simple Node.js app with a small Postgres database will typically consume around $3-4/month at low traffic. The catch: Railway will sleep your service after inactivity on the free tier, which means cold starts.

Those cold starts are real. I had a portfolio API on Railway’s free tier that would take 8-12 seconds to wake up after sitting idle. For a personal project, that’s annoying but livable. For anything you’re showing to potential clients or employers, it’s embarrassing. The fix is upgrading to a paid plan ($20/month Hobby tier) which keeps services always-on.

What Railway Does Really Well

• Nixpacks buildpacks — zero-config builds for most popular stacks. It just works.
• Private networking — services in the same project talk to each other over a private network automatically
• Deployment previews — PRs get their own preview environments, which is genuinely useful even for solo projects
• Cron jobs — built-in scheduled jobs without needing a separate service
• Logs and metrics — the built-in observability is good enough for hobby use without adding third-party tools

Where Railway Falls Short

• Single-region by default (US West). You can’t easily deploy to multiple regions on a hobby budget.
• No built-in CDN or edge network
• Less control over the underlying infrastructure — if you need specific kernel settings or custom networking, you’re stuck
• The $5 free tier disappears fast if you add Redis + Postgres + an app service

Fly.io: More Power, More Configuration

Fly.io takes a different approach. Instead of detecting your framework and abstracting everything away, it runs your Docker containers on their own hardware in 35+ regions around the world. The pitch is: write a Dockerfile (or let flyctl launch generate one), and your app runs close to your users globally.

In practice, deploying a simple app on Fly.io requires more upfront work than Railway. Running fly launch is straightforward, but you’ll quickly find yourself editing fly.toml files, understanding machine types, and thinking about whether you want 1 or 2 machines running (Fly.io actually recommends 2 for reliability, which affects your costs).

That said, once you’ve got a project configured on Fly.io, the deployment loop is fast and reliable. I’ve had a Rust API running on Fly.io for eight months and I’ve touched the configuration maybe twice.

Fly.io’s Free Allowances

Fly.io’s free tier is structured differently from Railway’s. You get:

• 3 shared-CPU-1x VMs with 256MB RAM (always-on, no sleeping)
• 3GB persistent volume storage
• 160GB outbound data transfer per month
• Shared Postgres and Redis clusters available

The key difference: Fly.io’s free machines don’t sleep. If you can fit your hobby project into those resource limits, you get always-on hosting for free. That’s genuinely better than Railway’s free tier for projects where cold starts would be a problem.

The catch is that Fly.io requires a credit card to sign up, even for the free tier. And their billing can get confusing — I once got a $4 bill I didn’t expect because I’d launched a test machine and forgotten to destroy it. Railway’s credit-based system is more predictable for beginners.

What Fly.io Does Really Well

• Global deployment — run your app in 35+ cities. Latency matters for real-time apps, games, and anything user-facing.
• Always-on free tier — no cold starts on the free machines
• Docker-native — if you’re already containerizing your work, Fly.io feels natural
• Fly Machines API — programmatically spin up and down VMs, which opens up interesting use cases like running jobs on-demand
• WireGuard-based private networking — genuinely solid private network between your services
• Fly Postgres — runs as a Fly app itself, which means you control it completely (and are responsible for it completely)

Where Fly.io Falls Short

• Steeper learning curve. If you’ve never written a Dockerfile, Railway is a much better starting point.
• Fly Postgres is self-managed. There’s no automated failover magic — you need to understand what you’re running.
• The dashboard is functional but not as polished as Railway’s
• Documentation has improved a lot but can still be inconsistent — some guides are outdated
• Billing transparency could be better. It’s easy to accidentally leave resources running.

Head-to-Head Comparison

Pricing: What You’ll Actually Pay

Let’s be concrete. Here’s what a typical hobby project costs — a web app + Postgres database + low traffic:

Railway Pricing

• Free tier: $5 credit/month. Realistically covers one small app + small Postgres. Services sleep after inactivity.
• Hobby plan: $20/month. Includes $5 of usage credit. Always-on services. This is what most serious hobby projects need.
• Pro plan: $20/seat + usage. For teams or higher resource needs.

A Next.js app + Postgres on Railway Hobby typically runs me $6-9/month in actual usage, well within the included credit. So the $20/month Hobby plan effectively costs me $11-14 out of pocket for always-on hosting. That’s reasonable.

Fly.io Pricing

• Free allowances: 3 shared-CPU-1x VMs (256MB RAM), 3GB volume storage, 160GB egress. No monthly fee if you stay under limits.
• Shared CPU VMs: Start at ~$1.94/month for shared-cpu-1x with 256MB RAM
• Postgres: Free shared cluster available, or ~$1.94/month for a dedicated single-node
• Volumes: $0.15/GB/month

If your project fits in the free allowances, Fly.io is literally free. If you need more RAM (most real apps do), you’ll pay around $5-10/month for a small app + Postgres. Fly.io can be cheaper than Railway if you’re careful, but the billing is less predictable.

If neither platform fits and you want more raw control over your budget, DigitalOcean’s Droplets start at $4/month and give you a full VM — though you’ll manage more yourself. Worth considering if you’re comfortable with a bit of server admin. (Check out our DigitalOcean vs Hetzner vs Vultr comparison for the full picture on that route.)

Specific Use Cases: Which Platform Wins

Use Railway if you need…

• A quick prototype deployed today — Railway’s zero-config deploy is unmatched. If you’re building something to show people this week, Railway gets you there.
• A managed database without headaches — Railway’s Postgres just works. Backups, connection pooling, the DATABASE_URL in your env — all handled.
• Cron jobs or background workers — Railway handles these natively in the same project. No extra services needed.
• A non-technical collaborator — Railway’s dashboard is the most approachable of any platform in this space. If you’re building something with a designer or product person who might need to check logs, Railway is far less intimidating.
• A Node.js, Python, or Ruby project — Nixpacks has excellent support for these ecosystems. It will detect your runtime, install dependencies, and configure the start command automatically.

Use Fly.io if you need…

• Always-on hosting without paying — Fly.io’s free VMs don’t sleep. If your project needs to respond instantly and you can’t pay $20/month, Fly.io is the better free option.
• Global low latency — Running a multiplayer game, a real-time collaboration tool, or an API that users access from multiple continents? Fly.io’s multi-region deployment is genuinely useful and Railway can’t compete here.
• A Docker-native workflow — If you’re already writing Dockerfiles, Fly.io slots into that workflow naturally. You’re not fighting the platform.
• More infrastructure control — Custom networking, specific machine types, programmatic VM management. Fly.io gives you levers that Railway doesn’t expose.
• Running non-web workloads — Background processors, data pipelines, scrapers. Fly Machines can spin up for a job and spin back down, which is elegant and cost-effective.

The Ecosystem Question

Both platforms have active communities. Railway has a Discord that’s genuinely helpful — I’ve gotten real answers from Railway staff there. Fly.io has a community forum that’s solid and their documentation, while occasionally patchy, has improved significantly.

One thing worth noting: both platforms are still relatively young companies. Railway went through a rough patch in 2023 with some reliability issues that shook confidence. Fly.io has had its own incidents. Neither is AWS. If your hobby project turns into something people depend on, factor in that these platforms carry more platform risk than the hyperscalers.

For side projects specifically, I’d also recommend thinking about what tools you’re using to build with. If you’re using AI coding assistants to accelerate your side project work (and you should be in 2026), check out our roundup of the best AI tools for developers — the right assistant can cut your build time significantly. And for a broader look at hosting options beyond these two, our best cloud hosting for side projects guide covers the full landscape.

Final Recommendation

Stop overthinking this. Here’s the decision tree:

Are you new to cloud hosting or just want something deployed fast? → Railway. Full stop. The developer experience is better, the dashboard makes sense, and you’ll be live before you finish reading this article.

Do you have users in multiple regions, or does latency actually matter for your project? → Fly.io. Railway’s single-region setup will let you down here.

Are you on a strict zero-dollar budget but need always-on? → Fly.io’s free tier is more generous for this specific constraint, but you’ll need a credit card and some patience with the setup.

Are you building something you might scale later? → Both platforms have paths to growth, but Fly.io’s Docker-native approach gives you more portability. Railway’s platform abstractions are great until they’re not, and switching costs are real (though manageable — see the Heroku migration story linked above).

My personal setup: I use Railway for anything web-app-shaped where I want to move fast, and Fly.io for APIs and services where I care about latency or need more control. They’re not mutually exclusive — running a Railway frontend that calls a Fly.io backend API is a totally reasonable architecture for a serious hobby project.

Both are genuinely good platforms. The Heroku-shaped hole in the market has been well-filled. Pick one, ship something, and don’t let the hosting decision be the reason your side project stays a side project.