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Railway Blog

Where Railway is, and where it's going (Summer 2026) PaaS vs IaaS vs SaaS: What Each Means and Who Should Pick What in 2026 The Best Continuous Deployment Tools in 2026 The Best PaaS for Multi-Region Deployments in 2026 The Best Platforms for Monorepo Deployments in 2026 Compliance Isn't a Feature, It's a Posture What is BYOC (Bring Your Own Cloud)? A Developer's Guide for 2026 The Best Managed Kubernetes Hosting in 2026 The Best Container Registries in 2026 The Vanilla Cloud Tax: What Rolling Your Own on AWS Actually Costs What is a PaaS? A Developer's Guide for 2026 The Best Cloud Observability and Logging Tools in 2026 The Best PostgreSQL Hosting for Developers in 2026 The Best Multi-Region Hosting Platforms in 2026 The Best Platforms to Deploy AI Apps in 2026 (Not the Models, the Apps Around Them) The Agent-Native Cloud: What It Means and Why It Matters Incident Report: May 19, 2026- GCP Account Suspension Counting to 3 with a new builder processing 50M+ monthly builds Railway iOS preview now available via TestFlight Kill your onboarding: selling to 10,000+ new users a day Your AI wants to nuke your database. Guardrails fix that. Better Rails for Agents: A New Remote MCP and Railway Agent in the CLI Moving Railway's Frontend Off Next.js One command deploys, there's a Stripe APP for that From registrar to deployed: buying a domain inside Railway A letter to open source builders who deserve more Networking is a black box, we used eBPF to open it Heroku Walked So Railway Can Run Security Features Your Security Team Will Love Railway Runs Open Source, Now We're Funding It Railway raises $100M Series B to unburden the builders Deploy autoscaling services, AI Workflow automation, and LLM APIs Without Kubernetes Hosting Postgres with GeoLite2: a practical guide to IP geolocation, data loading, and updates Serverless functions vs containers: CI/CD, database connections, cron jobs, and long-running tasks Hosting Postgres with pgvector: provider tradeoffs, migrations, indexes, and tuning Introducing the Railway integration on Delve.co Secure Cloud Hosting for Compliance: A Practical Guide for Startups and Regulated Industries How G2X Unlocked Rapid Experimentation at Scale with Railway MindFort Runs 100+ AI Pen Testing Agents Without Their Previous $10k AWS Bill How Bilt's Marketing Engineering Team Delivers at Scale with Railway Railway Technology Partners: Earn Revenue on Templates You Didn't Build ~$1 Million Paid to Developers Who Built Railway Templates CI/CD for Modern Deployment: From Manual Deploys to PR Environments Kernel Powers 1,000+ AI Agents on $444/Month of Railway Infrastructure Deploy Full-Stack TypeScript Apps: Architectures, Execution Models, and Deployment Choices Railway vs Cloudflare: How Their Architectures Differ and When to Use Each Run Scheduled and Recurring Tasks with Cron Monitoring & Observability: Using Logs, Metrics, Traces, and Alerts to Understand System Failures Logs, Metrics, and Traces: What Does Each Signal Tell You? Server rendering benchmarks: Railway vs Cloudflare vs Vercel Top five Heroku alternatives Comparing top PaaS and deployment providers Pricing to Encourage Use The F in SOC2 stands for functional Deploy Together, Earn Together: Introducing Railway Partnerships How We Oops-Proofed Infrastructure Deletion on Railway Railway MCP - Stateful, Serverful, Pay-per-use Infrastructure Hackathon: Winners Announced! Mark Your Calendar: Railway User Hackathon with Prizes Launching Railway's Affiliate Program Zero-Touch Bare Metal at Scale Ssh, We’re Announcing One More Thing! $1M for Open Source Introducing Central Station Speed Isn’t Just About Code, It’s About Where That Code Runs One-Second Deploys? We Didn’t Believe It Either Why We’re Moving on From Nix Railway V3: Faster and Cheaper How to Migrate from Cloudflare Pages to Railway Supercharging Directus on Railway with a Static Frontend How to Migrate from AWS Lambda to Railway Deploy Triton Inference Server on Railway How to Handle Database Connection Pooling Building a NestJS App on Railway Manually Optimize Deployments on Railway Implement a GitHub Actions Testing Suite Scaling a SaaS application on Railway Building a SaaS application on Railway Deploy a Dart App on Railway, Part 2 Deploy a Dart App on Railway, Part 1 Implementing Feature Flags from Scratch Cron Jobs with Django and GitHub Actions Deploy Offen on Railway Queues on Railway Working with NX, Railway and CI/CD Automated PostgreSQL Backups Using GitLab CI/CD with Railway Migrating From Heroku To Railway Cron Jobs on Railway Deploy Beam on Railway Deploy Authorizer on Railway Deploying Monorepo Applications How to Backup and Restore Your Postgres Database How to Backup Your Redis Instance Deploy Cusdis on Railway Deploy Ghost on Railway Using Github Actions with Railway Deploy Calendso (cal.com) on Railway Self-hosted website analytics Use Notion as a CMS for your NextJS blog
Bring Back the Free Plan
David Banys · 2025-08-27 · via Railway Blog

Ok!

But first, a story about why we turned it off in the first place.

When Railway launched you could pay us $20 for “Unlimited Compute.”

We grew like wildfire, but it was funny-money ZIRPy growth.

At times we were giving away more than $1000 of compute for $20. At the worst point, we were losing $16 for every $1 of topline revenue.

We did margin-negative computing before it was cool, and it was silly.

Instead of running our business into the ground, we deleted the free plan, which nuked our growth.

It’s not PMF if it flatlines when you stop giving it away
It’s not PMF if it flatlines when you stop giving it away

We then went to work building durable product-market fit, restoring growth, and inverting our negative margins. That work culminated earlier this year when we lowered prices.

PMF, you know it when you see it
PMF, you know it when you see it

Today we have the pleasure of announcing that we’ve flipped the “free compute” switch back on.

New users now get $5 for the first 30 days to try Railway for free.

After $5 or 30 days, we will fund your account with $1 of non-rollover credits each month. This is enough to run a small app for free in perpetuity.

More details are available here.

Let’s take a question from the audience:

Q. So you pulled off a “mid-air” rebuild of your product? How did that work?

A. Good question! Let’s tell that story.

When we deleted our free plan, we cratered our short-term growth prospects to create a real, healthy business.

Our goal was to turn off the free plan until we had actual product market fit, so we wouldn’t spend the rest of the decade playing “free compute ponzi” with customers and VCs.

And although the original free plan really was a cash incinerator, it also bought us a good amount of attention in the market as a deployment option. So giving away free compute bought us something very important — a foot in the door with thousands of users.

First lesson: After you develop a compelling MVP, use investor cash to buy a small piece of the market … that’s what it’s for.

One reason we could afford a mid-air rebuild is that the early users we attracted stuck around.

Although we subsidized the early attention we received in the market, we earned a very good early user base that gave us thousands of lines of product feedback and thousands of referrals to their friends.

This wouldn’t have been possible without the “spin up a database before you can dismiss this toast” MVP onboarding experience. It was so good people had to tell their friends about it.

Second lesson: Nothing replaces a really good first time user experience (not even giving away free compute).

After we cauterized the original free plan, we saw that our business was in jeopardy on three axes:

  • Margins — we wanted a durable business
  • Reliability — it wasn’t bulletproof
  • Support — we were losing the plot (which is to keep talking to users)

We originally bootstrapped Railway on top of Google Cloud Platform, which allowed us to build our initial product, but we soon discovered we couldn’t guarantee the product when you build a cloud on another cloud.

We could have continued to wrap GCP and find new ways to cost-plus the hell out of everything we were shipping, but that would’ve been like AirBnb-ing out the hotel room we were paying for. Our original ambition for this company is to “deploy anything, instantly” and that goal drives us to solve most of our upstream dependency issues through vertical integration.

When you build a company of true-blue technologists, you find yourself sprinting toward these hard technological problems every time because that’s the way you build advantages over your competition.

Anyway, the margin story changed overnight once we started racking and stacking our own servers and completed the cutover to Railway Metal.

Our builds still run on cloud, but not for long!
Our builds still run on cloud, but not for long!

The reliability piece had a similar outcome. By owning the hardware stack, we were able to escape the persistent upstream issues that our cloud provider was passing through to us.

We built our own orchestrator, our own compute stack, our own edge network … basically our own everything. This is what lets us be cheap and fast but also great.

This wouldn’t be possible off the shelf and it wasn’t possible on GCP, which is another reason why we exited the cloud in the first place.

For support, we underwent a similar revolution. We built an in-house support solution called Central Station that is part forum, part helpdesk, part roadmap, and part bounty payout system.

The support machine allowed us to get back to users really fast. It let us listen to customers and build what they need quickly. It has bidirectional integrations with Slack and Discord and serves as the nerve center for our customer service and product development work, may the two forever be intertwined.

There’s a much longer story here about why we didn’t use off-the-shelf pieces for support, but that’s a story for another time.

That brings us to our third lesson.

Third lesson: You’re a technology company, so make big bets on your own technology … that’s also what the investor cash is for.

This last lesson is the most important. We bet on ourselves repeatedly:

  • We bet on our ability to deliver an initial “aha” MVP product experience
  • We bet on our ability to exit the cloud
  • We bet on our ability to build an orchestrator and compute stack from scratch
  • We bet on our ability to listen to user needs and get back to them lightning fast

… and as a result we’re now able to turn the free plan back on.

Today we’ve built a product that users love, pay for, and share with their friends.

We’re now serving more than 12M deploys a month
We’re now serving more than 12M deploys a month

In addition to these deployment stats, top of funnel and NDR are up and to the right. Topline and bottom line revenue are up and to the right.

To us that means we have product-market fit and it’s durable this time.

And to you, that means the $5 free compute deal is back.

Sign up here to get started.