Jake CooperFounder & CEO

Railway did not start as a master corporate vision. It began out of personal engineering frustration when trying to provision stateful backend databases and environments quickly. After leaving Uber, I set out to build tools that eliminated the administrative friction of cloud infrastructure. As more developers began utilizing what we created to deploy production workloads, it became obvious that the world needed an intuitive, developer-first platform that orchestrated entire application lifecycles rather than isolated database instances.

Our growth had exploded due to a generous free tier, but our infrastructure bills exploded alongside it. We reached a point where we were burning 500,000 USD each month on cloud providers, much of it consumed by bad actors and crypto-mining abuse. We made the existential decision to retire the unmetered free tier and enforce usage billing. While we braced for backlash, genuine developers gladly paid for the service because the developer experience saved them countless engineering hours. That single move stabilized our unit economics and turned our revenue trajectory vertical.

Two founders frequently encounter deadlocks where disagreements lead to political paralysis, compromise solutions, or silent resentment. As a solo founder, the feedback loop is instantaneous. The buck stops entirely with you, which eliminates bureaucratic hesitation. To protect against blind spots, I intentionally construct decision forums where I place myself in three-person groups with senior leaders where I can be outvoted. You want swift decision velocity without autocratic stubbornness.

Extreme leverage comes from uncompromising talent density and refusing to scale headcount simply because capital is available. Our entire go-to-market organization is only seven or eight people, including one sales representative, one product marketer, two solutions engineers, and growth staff. We build software that sells through immediate utility. Every engineer we hire is expected to operate as a high-leverage force multiplier rather than a manager of large reporting structures.

Startups rarely die from starvation; they die from indigestion. Opportunity cost is lethal. Teams constantly want to attend conferences, enter tangential markets, or build features requested by edge cases. We intentionally say no repeatedly until the necessity of an initiative becomes inevitable and undeniable. When you eliminate peripheral distractions, the few projects you actually greenlight receive full organizational velocity and resources.

We evaluate compensation quarterly rather than annually and never nickel-and-dime elite candidates. However, cash is only table stakes. The engineers who join Railway want complete autonomy, extreme leverage, and high craft standards. They want to see their code deploy directly to production infrastructure serving millions of developers within days, rather than being trapped in endless corporate review cycles or multi-layer approval chains.

Traditional coding tests that evaluate textbook algorithms are obsolete because frontier models solve them in seconds. We evaluate candidates on architecture, communication, and system debugging under realistic conditions. We look at how engineers formulate mental models, decompose ambiguity, and collaborate asynchronously. We want builders who understand how systems fail in production rather than people who simply memorize syntax.

Our onboarding is split into three distinct two-week phases: Trust, Clarity, and Judgment. During the first two weeks, new hires ship small, high-frequency tasks to establish baseline operational trust and familiarity with our deployment systems. The next two weeks focus on clarity, where they write Requests for Comments and tackle moderately complex platform issues. The final two weeks test independent judgment, where they identify and execute a meaningful project that the company needs without explicit direction.

HARD stands for Honor, Acceleration, Reliability, and Directness. Acceleration and Reliability are essential for infrastructure, but Directness is often the most emotionally demanding to maintain. It requires telling teammates radical truths about code quality, strategy, and operational performance without softening the message to avoid temporary discomfort. High-performing cultures require absolute clarity over politeness.

I work intensively from sun up to sun down Monday through Friday. At the end of the week, I close my laptop and put my phone on do-not-disturb until Sunday afternoon. That 36-hour window of decompression resets cognitive baseline and eliminates decision fatigue. Most executive disasters and erratic strategic pivots occur when leaders are chronically exhausted. Quiet decompression produces the perspective necessary to lead clearly on Monday.

Everyone focuses on token generation, but code has to execute somewhere. When agents and developers generate millions of new applications, the downstream strain hits runtime infrastructure, networking, DNS, security, and persistence layers. We are experiencing a massive wave of recloudization where platforms must provide instant, programmatic deployment environments that can spin up, fork, test, and tear down environments in milliseconds.

Relying exclusively on public cloud hyperscalers creates crippling gross margin ceilings when you reach planetary scale. We invested tens of millions of dollars into owning and operating our own bare-metal compute hardware and networking fabric. Owning our hardware allows us to pass dramatic performance and cost efficiencies back to customers while retaining a payback period of just a few months on capital expenditure.

Our guiding operating principle is grit, process, repeat. Never automate a workflow until you have performed it manually dozens of times. Doing the task with raw human effort exposes edge cases, customer nuances, and real bottlenecks. Once you thoroughly master the manual mechanics, you codify the process into software. Automating premature assumptions only creates complex technical debt.

In the early days, you are a player-coach focused on code, product details, and daily triage. As the company crosses milestones toward one hundred million ARR, your responsibility shifts entirely toward capital allocation, organizational clarity, culture preservation, and removing bottlenecks. You must transition from being the primary problem solver to architecting the environment in which exceptional people solve problems independently.

Most generic startup advice is survivorship bias wrapped in platitudes, generated by people who have not built or operated modern businesses under current market dynamics. Strategies that worked in low-interest-rate eras or previous technology cycles fail completely in an AI-accelerated market. Founders must think from first principles, observe their own users rigorously, and formulate bespoke operating mechanics rather than copying obsolete playbooks.