Railway
Deploy full-stack apps from GitHub in seconds with automatic HTTPS and custom domains.
ABOUT
What is Railway?
Railway is a modern deployment platform designed for full-stack projects. Connecting a GitHub repository gives you an instant live URL with automatic HTTPS, custom domains, environment variables and database provisioning. The platform uses a consumption-based model with a one-time $5 free trial (no card required), then a Hobby plan at $5/month. It is especially popular among indie developers and small teams building Node.js, Python, Go and Docker-based applications.
BEFORE YOU SIGN UP
What you should know
COMMUNITY
From the forums
Railway has a strong and vocal community on Reddit and Discord, with developers frequently citing its simple workflow and fast Git-to-deploy pipeline. The most common frustrations revolve around the opaque usage-based pricing model, where costs can accumulate faster than expected when traffic or database size increases unexpectedly. Its DX is often compared favorably to Heroku.
— Community sentiment · Reddit
SEE ALSO · Hosting & deploy
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ABOUT US
Honest, independent, no fluff.
No paid placements. Just a clear look at what this does, what it costs, and what to know before you commit.
FAQ
Questions, answered.
Is Railway free?+
Railway offers a one-time $5 free trial credit with no credit card required. After the credit is used, the Hobby plan costs $5/month. A small single-process app with low traffic can fit within the Hobby allowance, but adding databases or workers increases the cost.
Does Railway support cron jobs or background workers?+
Yes. You can configure cron jobs and background workers through the dashboard. They are deployed as separate services sharing the same project network and consume credits based on their runtime and resource allocation.
How does Railway compare to Heroku?+
Railway is often considered a modern Heroku alternative with a similar Git-based workflow. It eliminates Heroku's per-dyno pricing by using a consumption model, which can be cheaper for small projects but harder to predict for larger ones.