The Seed-Stage Stack: Boring Tech That Gets You to $1M ARR

Every few weeks, a founder asks me what tech stack they should pick for a new SaaS. They are usually hoping I will say something novel and exciting. I almost never do. The stack that works at seed stage in 2026 is a stack that would have worked in 2022, with a few small updates. It is deliberately boring, and that is the whole point.

This article is that stack. The specific tools I recommend, the ones I avoid, and the reasoning behind each. By the end, you will have a defensible starting point for a new SaaS you can ship in a week and scale to $1M ARR without rewriting.

Fair warning: if you are reading this hoping for novelty, you are in the wrong place. If you are reading this because you are tired of rewriting your stack every eight months, you are in the right one.

The principle: boring is a feature

Seed-stage startups fail from not shipping, not from picking the wrong database. The point of a boring stack is to minimize the number of hours you spend on the technology itself so you can spend them on your product.

Every interesting choice you make is a choice that pulls engineering attention. Cutting-edge database? Expect to debug it at 2am. Novel frontend framework? Expect your next hire to learn it from scratch. Exotic deploy platform? Expect a weekend lost when their free tier changes. None of these are fatal, but they compound, and at seed stage you cannot afford the drag.

The stack below is chosen to minimize drag. Every component is mature, well-documented, widely known by engineers you will hire, and supported by a large enough community that you will not be alone when something breaks.

The stack

Frontend framework: Next.js 15 with App Router

I default to Next.js on almost every seed-stage engagement unless there is a specific reason not to. It is boring in the best sense. The React ecosystem is massive, the hiring pool is deep, server-side rendering and static generation are built in, and deployment on Vercel or Fly is a one-command experience.

Alternatives worth considering: Remix (slightly cleaner mental model, smaller ecosystem), SvelteKit (great DX, much smaller hiring pool). Both are valid. Next.js is safer.

Avoid at seed stage: anything that requires your team to learn a new paradigm before shipping. Every framework debate you have is a day you did not ship.

UI components: shadcn/ui + Tailwind CSS

shadcn/ui is not a library — it is a set of copy-pasteable components built on Radix and styled with Tailwind. The reason it wins at seed stage: you own the code, you can customize it freely, and you do not get locked into a component library's release cycle or design choices.

Tailwind for styling. Boring. Universal. Stop debating CSS-in-JS approaches and ship.

Backend runtime: Node.js (or whatever your frontend uses)

At seed stage, use the same language for backend and frontend if you can. TypeScript on both sides means shared types, shared validation schemas, and one hiring pool. The 3% performance advantage of Go or Rust is not a seed-stage concern. Developer velocity is.

Exceptions: if your product is genuinely compute-heavy (ML inference, video processing, heavy data transformation), fine — use the right tool for the heavy layer and keep the rest in TypeScript.

Database: Postgres. Just Postgres.

I will repeat this because founders do not believe me. Postgres. Just Postgres. Not Postgres and Redis. Not Postgres and MongoDB. Not a fancy vector database. Not a new analytics database. Postgres.

Postgres in 2026 handles:

Relational data (obviously)
JSON and JSONB for semi-structured data
Full-text search (pg_trgm, tsvector)
Vector search for RAG (pgvector)
Time-series-ish workloads (TimescaleDB if needed, often not)
Queues (pg_listen/notify, SKIP LOCKED patterns)
Scheduled jobs (pg_cron)

Most of the reasons founders reach for additional databases at seed stage disappear when they learn what Postgres can already do. Deferring the "we need Redis" conversation by 12 months saves enormous operational complexity, and it often turns out you did not need Redis at all.

ORM / query layer: Drizzle or Prisma

Drizzle if your team is comfortable with SQL-like query builders. Prisma if you want the smoother DX at the cost of slightly more magic. Both are fine. Both are boring. Both will get you to $1M ARR.

Avoid: raw SQL everywhere (maintenance nightmare), or exotic ORMs that do not have full Postgres feature support.

Auth: Clerk, Auth.js (NextAuth), or WorkOS

Do not build your own auth. Nobody has gotten fired for using a managed auth provider, and plenty of founders have burned six weeks reinventing password reset flows.

Clerk: fastest DX, slightly more opinionated UI, clear pricing.
Auth.js: free, flexible, more assembly required.
WorkOS: the right answer if you expect enterprise SSO / SAML customers from day one.

Pick one, integrate it, move on.

Hosting: Vercel, Fly.io, or Railway

Vercel for the frontend + serverless-friendly backends. It is the default for Next.js and the integration is one-click.
Fly.io if you want a traditional long-running server model, persistent processes, and global deploys without serverless cold starts.
Railway as a middle ground for backend-heavy apps that need a database and a worker.

Avoid at seed stage: running your own Kubernetes cluster, managing your own EC2 boxes, or adopting a "cloud-native" platform that requires a dedicated devops engineer. You are the devops engineer. Keep it simple.

Background jobs: Inngest, Trigger.dev, or Postgres queue

For most seed-stage startups, a Postgres-backed queue is plenty. When you need more, Inngest or Trigger.dev are both good. Avoid standing up Redis + Bull + a worker fleet until you actually need it.

Observability: Sentry, Axiom, or Baselime

You need three things: error tracking, log aggregation, and basic metrics. Sentry for errors is a default. Axiom or Baselime for logs and metrics. Add real tracing only once the app is complex enough to justify it.

Skip: full-fat Datadog or New Relic at seed stage. Too expensive, too much to configure, and the value does not show up until scale.

Payments: Stripe

This one is not a debate. Stripe. Use their hosted checkout and customer portal to skip as much custom billing code as you can. Build your own billing UI only when you need to.

Email: Resend or Postmark

Resend for transactional email with a clean DX. Postmark if you want a slightly more mature option. Avoid rolling your own SMTP unless you enjoy spam-filter debugging.

AI APIs: Anthropic, OpenAI, or both

Direct API calls to the foundation model of your choice. Wrap them thinly. Do not adopt a heavyweight LLM framework until you understand your own usage pattern — most of them hide costs and make debugging harder. When you do need more structure, keep it thin.

What this stack looks like as a bill

A representative monthly cost at launch, assuming real but modest usage:

Vercel or Fly hosting: $20–$100
Postgres (Neon, Supabase, or Fly Postgres): $25–$100
Clerk or Auth.js: $0–$100
Stripe: transaction-based, effectively zero fixed
Sentry + logs: $25–$100
Resend: $0–$30
LLM APIs: $0–$500 depending on feature use
Domain + misc: $20

Total at launch: roughly $100–$900 per month. A well-run seed-stage product can operate in this range until you have real paying customers and real usage. There is no scenario where infrastructure cost should be a founding-team concern at seed stage with this stack.

The exciting choices I avoid

Three categories of choice I steer founders away from at seed stage.

New frontend frameworks. Every year a new hot framework emerges. Every year I watch founders adopt it and regret it six months later when their third hire has never heard of it. Use the framework with the deepest hiring pool.

Exotic databases. CockroachDB, Neon branching, TiDB, a graph database because your data "feels like a graph." All of these are great at the right scale. Seed stage is not the right scale. Postgres.

Microservices architecture. A modular monolith scales further than founders think. Microservices at seed stage is a distraction that costs a quarter of engineering time for zero user-facing benefit.

When to deviate from the stack

The boring stack is the default, not a rule. Deviate when:

You have a genuinely compute-heavy workload that needs a different backend language.
You are in a regulated vertical with specific infrastructure requirements (HIPAA, PCI, FedRAMP).
Your product's core is a database-native feature that requires a specialized data store.
A specific business constraint (existing team expertise, a customer requirement) forces a different choice.

Do not deviate because a choice is fashionable. Fashion is an engineering cost.

Counterpoint: will this stack get me to Series B?

Probably, and also it does not matter. The stack you ship at seed stage does not need to be the stack that takes you to Series B. The right question is whether it gets you to the next funding milestone with minimal drag, and this stack does. When you are at 25 engineers and actually have scaling problems, you will know them specifically and you can make specific choices. Until then, boring ships.

Your next step

If you are starting a new SaaS this month, you do not need to pick a stack. The one above is the pick. Start building. The time you saved on the stack debate is time you now have to spend on the product.

Where I come in

Setting up the initial tech stack is one of the first things I do at pre-seed and seed-stage engagements. Usually in a week I can have a working production deployment with the boring stack above, a clean repo layout, a CLAUDE.md file, a CI/CD pipeline, and the foundations of a real observability setup. Book a call if you are at day zero on a new product and want to skip the stack-debate phase entirely.