MVP development in Seattle
A founder who spent years at a large Seattle company is used to internal platforms that handle deployment, identity, metrics and alarms. At a startup none of that exists, and the temptation is to rebuild it before building the product. That is a good way to spend the first raise on tooling.
We build MVPs with boring, managed pieces wherever they will do, so the effort goes into the one thing the product does differently. Deploys are automated and monitoring is basic but real from day one. The platform work waits until real usage shows which part of it matters. Scope is fixed, the two-week starter is the usual beginning, and a short design document comes first, because that is the working style you will want anyway. The code is yours from the first commit.
Seattle's software market was shaped by Amazon and Microsoft, and by the cloud platforms they run. Many of the region's startups were founded by people who left one or the other, and they cluster in cloud infrastructure, developer tools, enterprise software and, increasingly, AI. Around them sit life sciences and global health organisations, retail and outdoor brands, and a long tail of companies whose entire estate lives in AWS or Azure. Buyers here have usually run services at scale themselves, and it shows in what they ask for.
The practical effect is more rigour and less explaining. A Seattle buyer expects a written design before code, with the alternatives considered and the reasons one was chosen. They count metrics, alarms and a runbook as part of done, not a later phase, and they want trade-offs stated plainly. Most already have a cloud agreement and committed spend on AWS or Azure, so the job is usually to make that estate tidier, cheaper and better understood. The other common pattern is the founder who left a large company and misses its internal platforms, because at a startup nobody has built them yet.
Built In puts the average base salary for a software engineer in Seattle at around $149,000, and the large employers add stock on top, which is what a startup is really competing against. A senior search can run for months, and the work that waits is often the most concrete on the roadmap: a service split out of a monolith, a migration, a cloud clean-up, a model moved from a notebook into production. Each has a clear finish line, which makes it a good fit for a small team that writes the design first and the runbook as it goes.
We work from Bengaluru with four hours of live overlap every working day, placed across your morning in Seattle. Stand-ups and design reviews happen in that window, with the engineer who writes the code. Everything decided outside it goes into your repository, your tracker and the architecture notes we write as we go, so each day starts with a written record of what changed.
We fit best on work with a clear finish line: a new service, a migration, a cloud clean-up or a model moved into production. We add senior capacity within days while a req stays open, starting with a fixed-price two-week piece. Agencies can bring us in white-label, under their own name.
Four ways this arrives.
Every feature is marked essential. We work with you to find the one journey a user must complete for the idea to be proven or disproven, build that properly, and write the rest down as a list for after launch.
It was built with a no-code tool or over a weekend, and real users are now finding its limits. We keep what works, move the data somewhere you own, and rebuild the parts that break without taking the product offline.
A demo that works in the meeting and then has to become the product. We build it on a real database with real sign-in from the start, so the version you demo is the version you keep, not a mock-up you throw away.
You need someone to make the technical decisions and explain them in plain language. We write down every choice that is expensive to reverse, why we made it and what changing it would cost, so whoever you hire next can pick it up.
Began in 2024 as a script that turned monthly exports into charts, and grew step by step into a web app, a mobile app, a technician phone page and the one backend under all three.
Read the write-up →Asked by Seattle teams.
How do you work with teams in Seattle?+
From Bengaluru, with four hours of live overlap every working day placed across your Seattle morning. Stand-ups and design reviews happen in that window, and you talk to the engineer who writes the code. We work in your Slack, your GitHub and your Linear. Designs are reviewed before code, and runbooks and architecture notes are written as we go, so the record lives where your team already works.
Do you work with teams already running on AWS or Azure?+
Yes, and in Seattle that is most teams. We work inside the estate you have: hand-built resources imported into Terraform, serverless functions made idempotent and traced end to end, cloud costs broken down per customer and feature, and AI features built on Bedrock or Azure OpenAI through the access your agreement already covers. The aim is an account that is tidier, cheaper and easier to explain, on the cloud you already pay for.
How does your rate compare to hiring in Seattle?+
Built In puts the average base salary for a software engineer in Seattle at about $149,000, before stock, benefits and recruiting fees. Our published rate is $35 an hour, with a $5,000 minimum. There is no recruiting search and no employment overhead, and we can start within days. The usual first step is a fixed-price two-week piece at $2,800, so you judge us on shipped work before committing to more.
What do the first two weeks look like?+
You share the context, and within two days you have a 30-minute call with the engineer who would do the work. Within a week you get a written plan: the options, the one we recommend and why, and how it rolls out. Then comes a fixed-price two-week piece, built in your repository from the first commit, with the design reviewed before code and the runbook written as it goes.
What does the fixed-price two-week starter cover?+
A defined slice of the product, agreed in writing before we start. For an MVP it is usually the core flow, working end to end against a real database. It costs $2,800. You get something running at the end and you keep the code either way, so you can judge us on output before committing to the rest of the build.
How long does an MVP take?+
It depends on what the smallest honest version is, which is why we scope before we quote. The two-week starter usually answers the question: by the end of it one flow works, and you have a written estimate for the rest with its assumptions listed. We would rather cut scope with you than promise a date we would miss.
Why Next.js and PostgreSQL?+
Because they are boring in the right way. Both are widely known, so you can hire for them later. Postgres will carry you a long way past your first paying customers, and Next.js gives you a web app and an API in one codebase. If the product is mobile-first, we build the app in React Native on the same backend.
Will we have to rewrite it later?+
Not if we do our job. The shortcuts we take are in scope, not in structure: fewer features, plainer screens, manual steps behind the scenes. The data model, sign-in, permissions and deploys are built properly from the first week, because those are the parts that force a rewrite when they are wrong.
Who owns the code and the accounts?+
You do, from the first commit. Repositories, hosting, domains and payment accounts are created in your name, not ours. If we set something up ourselves to save time, we transfer it to you before the first invoice. An MVP you cannot take to another team is a liability, not an asset.