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SaaS Product Development

We partner with founders and product teams to design, build, and scale SaaS products. From initial architecture and multi-tenancy strategy to billing, onboarding, and growth infrastructure, we help you ship faster without accumulating technical debt.

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A demo has one tenant. A business has a thousand

Early on, every shortcut is rational: one shared database, billing wired up by hand, every release going straight to everyone. It holds until the tenth customer asks for an export, the fiftieth asks for single sign-on, and a mispriced plan turns out to be funding somebody's data warehouse.

We build SaaS with those questions answered first: tenant isolation you can walk a security reviewer through, plans and metering that follow your pricing instead of constraining it, and releases that reach five percent of traffic before they reach everybody.

8–12 wks

From scoping to a launch customers can pay for

Per tenant

Isolation and limits enforced in the data layer

Metered

Usage tracked so pricing can change without a migration

5% first

Releases roll out progressively, never all at once

What's included

From zero-to-one MVPs to scaling multi-tenant platforms serving millions of requests.

Product strategy & MVP scoping
Multi-tenant architecture & data isolation
Subscription billing & usage metering
Onboarding flows & activation design
Performance optimization at scale
Analytics, experimentation & growth tooling

Four decisions that shape everything after launch

Each one costs very little to get right now and a rewrite to revisit at a thousand tenants.

01

One codebase, many tenants

Tenant context belongs in the data layer, not sprinkled through queries by hand. Isolation then holds by default, and a single deploy serves everyone from the trial to the enterprise account.

02

Time to value beats feature count

The first ten minutes are a product surface. We design setup, sample data, and empty states as carefully as the core feature, because that is where trials are won or quietly abandoned.

03

Meter first, price later

We instrument the units your pricing might one day use, even when you launch on flat seats. Changing how you charge then becomes a configuration change rather than a migration.

04

Trust arrives before the contract

Audit logs, single sign-on, sensible data retention, and least-privilege access are cheap to build in early and painful to retrofit the week your first enterprise deal depends on them.

The parts of a SaaS platform nobody puts in the demo

Six areas that decide whether a product scales cleanly or spends its second year paying down decisions made in its first.

Activation funnel

The drop between signing up and the moment the product proves itself, which is where most trials are lost.

Usage & billing

Consumption metered per tenant, so going over a plan becomes revenue instead of an unnoticed cost.

Progressive rollout

Releases reach a small slice of tenants first, which keeps the blast radius of a bad deploy small.

Zero-to-one MVP

The smallest product that proves the idea with real money attached, built on foundations you will not have to tear out at the first sign of traction.

  • Scoped to the one workflow that proves the product
  • Production auth, billing, and deploys from day one
  • Instrumented so you can see what users actually do

Multi-tenancy & isolation

The decision everything else inherits: how tenants are separated, how that separation is enforced, and how one noisy account stops affecting everyone else.

  • Row-level security or schema per tenant, chosen deliberately
  • Tenant-aware caching, queues, and background jobs
  • Rate limits and quotas that contain noisy neighbours

Billing, plans & metering

Subscriptions, trials, and usage that reconcile with your accounting, including the unglamorous cases: proration, failed payments, downgrades, and refunds.

  • Stripe subscriptions, trials, and proration
  • Usage metering with idempotent event capture
  • Seat, credit, and hybrid pricing models

Onboarding & activation

Turning signups into habits. Guided setup, sensible defaults, and instrumentation that shows exactly which step loses people before they see the value.

  • Guided setup, sample data, and useful empty states
  • Workspace, invite, and role flows
  • Activation funnel tracking with drop-off analysis

Progressive delivery

Shipping often without shipping outages. Features go live behind flags, reach a slice of tenants first, and roll back on their own if the numbers move the wrong way.

  • Feature flags and per-tenant rollouts
  • Canary releases with automatic rollback
  • In-product experiments and gradual migrations

Scale, reliability & unit cost

Keeping the platform quick as data grows, and knowing what each tenant costs to serve before that number quietly eats your gross margin.

  • Query, cache, and background job optimization
  • Service levels, alerting, and on-call runbooks
  • Cost per tenant, including AI and infrastructure spend

From a pricing page to paying tenants

Most products reach a paid launch in eight to twelve weeks, then settle into a steady release cadence with flags and canaries doing the risky part.

Stage 01

1–2 weeks

Product & pricing shaping

We agree the one workflow worth launching with, write down the non-goals, and settle how you will charge, because pricing decides the data model more often than teams expect.

  • Scoped MVP with explicit non-goals
  • Pricing and packaging model
  • Tenancy and data isolation decision
Stage 02

2–3 weeks

Platform foundation

Signup, tenancy, billing, and deploys land as working plumbing before feature work starts, so nothing later has to be retrofitted around a missing tenant boundary.

  • Auth, tenancy, and billing skeleton
  • CI/CD, environments, and observability
  • First workflow live behind a feature flag
Stage 03

4–6 weeks

Product build & launch

The product itself, then launch readiness: onboarding that carries a stranger to first value, a load test, and a security review before self-serve signup opens.

  • Paid launch with self-serve signup
  • Onboarding and activation instrumentation
  • Load test and security review
Stage 04

Ongoing

Scale & iterate

A release cadence with flags and canaries, funnel and churn instrumentation feeding what gets built next, and regular reviews of performance and cost per tenant.

  • Release cadence with flags and canaries
  • Funnel, retention, and churn reporting
  • Performance and unit cost reviews

Outcomes we optimize for

A product real customers can buy without a human in the loop

Tenant isolation you can walk an enterprise buyer through

Pricing you can change without a migration or a rewrite

A release process where shipping on a Friday is not a gamble

What we build it with

The tools we reach for on SaaS Products work, picked for the problem in front of us and for the team who inherits the code.

01

Product surface

The part customers judge you on

  • Next.js
  • React
  • TypeScript
  • Tailwind CSS
  • shadcn/ui
02

Application core

Multi-tenant from the first migration

  • Node.js
  • tRPC
  • PostgreSQL
  • Drizzle
  • Redis
03

SaaS building blocks

Billing, identity and lifecycle, bought not built

  • Stripe
  • Clerk
  • Resend
  • PostHog
04

Run and release

Ship on a Friday without flinching

  • Vercel
  • AWS
  • GitHub Actions
  • Sentry

Questions we get in the first call

  • Eight to twelve weeks for most products, assuming one clear workflow and a decision-maker available weekly. What moves that date is scope, not engineering speed: teams that launch on time picked one job the product does well and wrote down everything it deliberately does not do yet. We would rather ship a narrow product people pay for than a broad one people trial and forget.

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Let's build something that lasts

Tell us about your project and we'll get back to you within 12 hours with next steps.

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