Fly.io vs Railway for vibe coders in 2026

Quick verdict by use case

One-line answers if you don't have time for the rest.

• You're comfortable with a CLI, Dockerfiles, and want the lowest compute bill: Fly.io. Cheaper per VM, cheaper Postgres, edge regions included.

• You're a developer but want the fastest possible deploy experience, no Dockerfile required: Railway. Connect GitHub, ship in 60 seconds.

• You don't want to touch a terminal or write a deploy YAML: livemy.app. The non-developer workflow.

• You need multi-region edge deployment for latency-sensitive apps: Fly.io. Best-in-class for global low-latency.

• You're shipping a Lovable, Bolt, Claude, or host a Replit app-built app: livemy.app. Auto-detect for AI-builder stacks, flat pricing.

The rest of this guide explains how I got there.

What changed in 2024 — the free tier question

Worth getting out of the way first, because both platforms changed shape recently.

Fly.io killed its free tier in 2024. For years, Fly.io had one of the most generous free tiers in PaaS — 3 always-on VMs with 256 MB RAM each, 3 GB storage, 160 GB bandwidth. That ended. New signups now get a 2 VM-hour or 7-day trial (whichever comes first), then a credit card and pay-as-you-go.

Railway never had a permanent free tier. What it has is the $5 trial credit for new accounts, then Hobby at $5/month (with $5 of usage credit included). For very small workloads, $5/month covers everything.

The practical takeaway: the cheapest entry point on either platform is about $5/month. Fly.io's hard minimum is around $1.94/month for the tiniest always-on VM, but realistic small-app costs land closer to $5. Railway starts at exactly $5.

Pricing in detail

Fly.io

• Trial: 2 VM hours OR 7 days, whichever expires first

• Billing model: pure pay-as-you-go, per-second on resources used

• Minimum cost: ~$1.94/month for one shared-cpu-1x Machine with 256 MB RAM, always-on

• 1 vCPU + 2 GB RAM VM: ~$10.70/month always-on

• 4 vCPU + 8 GB RAM VM: ~$42.79/month

• Managed Postgres (1 vCPU, 2 GB RAM): ~$33.90/month

• Egress: $0.02/GB North America and Europe, $0.04/GB Asia, $0.12/GB Africa and India

• Optional support: $29/month or $99/month tiers

Railway

• Trial: $5 one-time credit for new accounts

• Hobby: $5/month base + $5 usage credit included (effectively $5 covers small workloads)

• Pro: $20/month base + usage

• Billing model: usage-based, per-second on RAM/CPU/network/storage

• 1 vCPU + 2 GB RAM VM: ~$30/month always-on

• 4 vCPU + 8 GB RAM VM: ~$160/month

• Managed Postgres (similar specs): ~$92.50/month

livemy.app, for the third-option context

• Free: projects sleep after 60 minutes of inactivity, livemy.site subdomain

• Maker: $20/month flat, always-on, custom domain, free SSL, monitoring, 1 custom domain, no compute metering

• Pro: tier above Maker, more domains and team features

• Backups add-on: $5/month, optional

The honest pricing read

Per unit of compute, Fly.io is roughly 3x cheaper than Railway at the small-VM end. Postgres on Fly is roughly 1/3 the cost of Railway's managed Postgres at comparable specs. If raw compute price is your decision driver and you're comfortable in a CLI, Fly.io wins on price.

livemy.app's $20/month flat sits in the middle but with no metering — a steady-traffic web app on livemy.app Maker is more expensive than a tiny Fly.io VM but cheaper than the equivalent Railway VM, and zero risk of usage spikes blowing up the bill.

UX: what the deploy actually looks like

Money is one axis. How much friction stands between your code and a live URL is another. They run in opposite directions.

Fly.io: CLI-first, Dockerfile-friendly

The expected workflow is flyctl launch in your project directory. Fly.io generates a fly.toml config file, asks a few questions in the terminal, picks regions, sets up secrets, and deploys. Iteration is flyctl deploy — fast once you've done it twice, slow the first time.

If your code has a Dockerfile, Fly.io uses it directly. If not, Fly.io's buildpacks try to auto-detect (Node, Python, Go, Ruby), but the success rate is lower than Railway's auto-detect.

Audience fit. Engineers who already speak Docker. Anyone migrating off Heroku who was used to heroku push. Latency-obsessed teams who need global regions.

Friction for non-developers: high. Just installing flyctl takes a terminal session, and the first fly launch asks questions that assume you know what they mean (Internal port? Database type? Region selection?).

Railway: Git-first, no Dockerfile required

The expected workflow is: connect Railway to GitHub, click your repo, Railway detects your framework, builds, deploys. Sub-60-second first deploy for most apps. No Dockerfile required (though supported if you want one). No YAML files. Environment variables in a clean UI.

When you push a new commit to the connected branch, Railway redeploys automatically. Rollback is one click.

Audience fit. Developers who want the fastest deploy experience available, side-project builders, anyone who pushed to Heroku in the 2010s and wants the same vibes with modern pricing.

Friction for non-developers: medium. The Git connect step assumes you have a GitHub repo, and the dashboard's terminology (services, environments, variables, plugins) leaks PaaS jargon. Doable, but not designed for the non-dev case.

livemy.app: ZIP-first or Git-first, AI-builder-aware

Two onboarding paths. Drop a ZIP (from Lovable, Bolt, v0, Cursor, Replit, ChatGPT export) and livemy.app auto-detects the stack and builds it. Or connect GitHub, same flow as Railway but with explicit auto-detect for AI-builder outputs (Vite + React, Next.js, the specific shapes that come out of each tool).

Environment variables in a non-technical UI — paste a key and a value, no instructions about which prefix means what.

Audience fit. Non-developers shipping AI-built apps. Designers, PMs, founders, marketers, vibe coders.

Friction for backend developers: low at deploy time, but the platform doesn't expose the same depth of service primitives (background workers, cron jobs, multi-region routing) as Fly or Railway. For complex multi-service architectures, Fly and Railway are still the right tools.

Where each one wins

Fly.io wins when

• You need multi-region edge deployment for latency-sensitive apps.

• Your monthly compute bill matters more than UX — Fly.io is 3x cheaper per VM.

• You're running Postgres-heavy workloads at scale (1/3 the Railway price for comparable specs).

• You're comfortable with Dockerfiles, the terminal, and PaaS configuration.

Railway wins when

• You want the fastest possible Git-to-live-URL flow.

• Your workload is bursty or idle most of the time — usage-based billing rewards that.

• You're a backend developer who prefers a clean dashboard over a CLI.

• You're shipping side projects, Discord bots, scripts, or anything in the "works on my machine, now needs a URL" category.

livemy.app wins when

• You can't read a build log fluently, or don't want to.

• Your app came from an AI builder (Lovable, Bolt, v0, Cursor, Replit, ChatGPT) and you want hosting that already speaks those stacks.

• You want a flat monthly bill, no compute metering, no "why did this spike" investigation.

• You value custom domain + free SSL + monitoring + backups in one package without configuring each separately.

Migration story between them

All three are Git-based. Code ports cleanly; configuration ports with some translation.

From Fly.io to Railway: the Dockerfile transfers if you wrote one; Railway will use it as the build step. fly.toml doesn't translate — you'll set environment variables and service config in Railway's UI instead. Volumes (Fly-mounted disks) need to be replaced with Railway volumes. Typical small-app migration: 30–60 minutes.

From Railway to Fly.io: reverse direction. Railway's framework auto-detect doesn't carry over — you write a Dockerfile (or rely on Fly's buildpacks), generate a fly.toml via fly launch, configure secrets. Heavier work than the other direction.

From either to livemy.app: connect the same GitHub repo, paste env vars into Project Settings, point your domain at the new host. Fly and Railway-specific config files (fly.toml, railway.json) are ignored — livemy.app auto-detects the framework from package.json and similar conventions. Most apps move in under 20 minutes.

FAQ

Which is cheaper, Fly.io or Railway?

Fly.io, by a wide margin on compute. A basic 1 vCPU + 2 GB RAM VM runs about $10.70/month on Fly.io versus $30/month on Railway. Managed Postgres is roughly 1/3 the cost on Fly.io. The trade-off is friction — Fly.io expects CLI fluency, Railway optimizes for ease of use.

Does Fly.io still have a free tier?

No. Fly.io removed its free tier in 2024. New signups get a 2 VM-hour or 7-day trial. After that, the practical minimum is around $1.94/month for the tiniest always-on Machine, with realistic small-app costs landing closer to $5/month.

Which is easier to use, Fly.io or Railway?

Railway, clearly. Railway's onboarding is connect-GitHub-and-deploy; Fly.io's onboarding involves installing the flyctl CLI and running fly launch in a terminal. For most developers, Railway gets to a live URL faster on the first try.

Can a non-developer use Fly.io?

In theory yes, in practice no. The CLI-first workflow assumes comfort with the terminal, and the configuration questions (internal port, primary region, secrets) assume some PaaS literacy. Non-developers are better served by Railway (for the workflow), or livemy.app (for the audience fit).

Where does livemy.app fit?

Different audience. Fly.io and Railway are built for developers comfortable with Dockerfiles, build logs, and service architecture. livemy.app is built for non-developers and vibe coders shipping AI-built apps. The deploy story (ZIP upload or Git connect, auto-detect, env vars in a clean UI) is closer to Railway in spirit, but the platform is opinionated about the non-developer case.

What if my app is too complex for livemy.app but I want to avoid Fly.io's CLI?

Railway is the right choice. Its UX is the closest middle ground — modern PaaS with services, databases, background workers, and a clean dashboard, without requiring CLI fluency. The trade-off is the compute bill, which is roughly 3x Fly.io's for equivalent specs.

Pick the platform that matches your skills, not your budget

Fly.io's cheaper bill doesn't help if you can't navigate flyctl. Railway's nicer UX is wasted if your traffic profile makes usage-based billing painful. livemy.app's simplicity is overkill if you're a backend developer who actually likes writing Dockerfiles.

→ Start free on livemy.app · No credit card · Free tier forever · Auto-detect for Lovable, Bolt, v0, Cursor, Replit, ChatGPT outputs.

Migrating from Fly.io or Railway and want a hand? Email hello@livemy.app with the repo and a screenshot of your current env vars. Replies inside one business day.

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