Architecture decisions, production engineering, and deployment infrastructure. We build the system your product runs on, then hand you the keys.
/ system-architecture
Every project begins with data modeling and system design. We figure out how your product handles 10,000 users before we pick a color for the button.
Client App
React / Next.js / Mobile
API Layer
REST / GraphQL / tRPC
Business Logic
Services / Workers / Queues
Data Layer
PostgreSQL / Redis / S3
Infrastructure
AWS / Docker / CI/CD
Client App
React / Next.js / Mobile
API Layer
REST / GraphQL / tRPC
Business Logic
Services / Workers / Queues
Data Layer
PostgreSQL / Redis / S3
Infrastructure
AWS / Docker / CI/CD
The tech stack, the data model, the deployment target, we lock those down in week one. This means your engineers aren't refactoring the foundation six months in. It also means the first line of code we write is already pointed at production.
/ what-ships
Not a pitch deck. Not a clickable prototype someone calls an "MVP." Production code, documented and deployed.
01, Architecture
We define your database schema, API contracts, and service boundaries before writing application code. This is where most teams cut corners and pay for it later. We don't.
Typical deliverables
02, Frontend
TypeScript throughout. Component library with tests. Accessible by default. We write the kind of frontend code that your next hire can read and extend without a two-week onboarding.
Typical deliverables
03, Backend
Typed API routes. Input validation at the boundary. Rate limiting. Error handling that returns useful messages, not stack traces. The boring stuff that keeps your app alive at 3am.
Typical deliverables
04, Infrastructure
CI/CD from day one. Staging environments that mirror production. Monitoring and alerting before you have your first user. We set up the infrastructure so deploys are boring, which is exactly what you want.
Typical deliverables
/ decision-framework
We don't have a default stack. We have opinions about when each tool is the right one. Here's how we think about it.
PostgreSQL
When your data is relational. Multi-tenant SaaS, financial systems, anything with complex queries or reporting. This is our default for most products because the data model rarely stays simple.
MongoDB
When your schema genuinely changes per-user or per-record. CMS-like products, form builders, logging systems. We don't pick Mongo because "it's easier", we pick it when documents are the right abstraction.
Next.js
Our default for most SaaS. Server components, API routes, and the largest hiring pool. If you're not sure, this is probably the right choice.
Remix
When you need fine-grained control over data loading and mutations. Form-heavy applications, complex multi-step workflows, apps that need to work well without JavaScript.
SvelteKit
When performance is the product. Dashboards with heavy real-time data, tools where every millisecond of UI responsiveness matters. Smaller talent pool, we flag this tradeoff upfront.
AWS
When you need full control, compliance requirements (SOC 2, HIPAA), or you're running background jobs and custom infrastructure. More setup, but nothing is off-limits.
Vercel
When you're shipping a Next.js app and want deploys to just work. Great for products where the frontend is the product and backend needs are moderate.
Railway
When you want the simplicity of Vercel but need to run databases, workers, and cron jobs in one place. Good for early-stage products that will migrate to AWS later.
Clerk
When you want auth handled completely and don't want to think about session management, MFA, or user management UI. Best DX in the category right now.
Supabase Auth
When you're already using Supabase for your database and want auth tightly coupled with row-level security. One less vendor. One less integration.
Custom
When you have enterprise SSO requirements, unusual session logic, or you're building auth as a feature of the product itself. We'll build it, but only if a managed solution genuinely doesn't fit.
/ build-timeline
A typical product build takes 12 weeks. Some are shorter. Some run longer if the scope demands it.
Week 0-1
PRD, database schema, tech stack decisions, sprint plan
Week 2-3
Design system, frontend scaffold, CI/CD pipeline, staging env
Week 4-7
API development, integrations, 2-week sprints with weekly demos
Week 8-9
Unit/integration tests, load testing, security audit (OWASP)
Week 10-11
Production-mirror staging, user acceptance testing, final polish
Week 12
Zero-downtime deploy, monitoring, documentation, 30-day support
Week 0-1
PRD, database schema, tech stack decisions
Week 2-3
Design system, frontend scaffold, CI/CD
Week 4-7
APIs, integrations, weekly demos
Week 8-9
Unit tests, load tests, security audit
Week 10-11
User acceptance testing, final polish
Week 12
Zero-downtime deploy, monitoring, 30-day support
/ system-specs
These aren't aspirational targets. These are the baselines we hit before we hand over the keys.
<200ms
API Response Time (p95)
95th percentile response time across all endpoints under load. Measured, not estimated.
99.9%
Uptime SLA
That's 8.7 hours of downtime per year, max. Health checks, auto-restarts, and failover built in from the start.
10,000+
Concurrent Users
Without degradation. Connection pooling, caching layers, and horizontal scaling configured before launch.
Zero
Downtime Deployments
Blue-green deploys mean your users never see a maintenance page. Every deploy is a non-event. That's the point.
/ from-the-blog
Software & AI
Where AI fits in a production SaaS stack, and where it doesn't. A practical breakdown for engineering teams.
Engineering
The speed-vs-quality tradeoff is real, but most teams get the framing wrong. Here's how to think about it.
Growth
Why organic traffic is a product investment, not a marketing expense. And what that means for SaaS founders.
If yours isn't here, send us a message. We'd rather talk through the details than have you wonder.
Ask us anything arrow_forwardYes. Full ownership from day one. The repo lives in your GitHub org. We work as contributors on your codebase, not the other way around. When we're done, you have everything: source code, infrastructure configs, environment variables, documentation. No vendor lock-in, no license fees. It's your software.
You get the codebase, a README that actually explains how to run it, architecture decision records, API docs, and a recorded walkthrough. We also do a live handover session with your engineering team. If you don't have engineers yet, we'll help you write the job description and evaluate candidates.
Usually, yes. We'll do a codebase audit first. If the foundations are solid, we build on top. If they're not, we'll say so and recommend whether to refactor or rebuild. We won't quietly rewrite your entire app and charge you for a "new feature." That's happened to too many of our clients before they found us.
Carefully. Every schema change goes through a migration file that can roll forward and back. We test against a copy of production data before running anything live. For large datasets, we use zero-downtime patterns: shadow tables, backfills, then cutover. Your users never see a loading screen.
80%+ on critical paths: auth, payments, core business logic. We don't chase 100% because testing button styling doesn't prevent outages. Integration tests on API endpoints. Unit tests on business logic. E2E tests on flows that would cost you money if they broke. That's the priority order.
30 days of post-launch support comes with every build. After that, we offer ongoing maintenance covering dependency updates, performance monitoring, bug fixes, and small feature work, scoped based on what your product actually needs. Most clients eventually hire their own engineering team and we move to an advisory role. That's the goal.
/ start-a-build
Send us a rough spec, a napkin sketch, or just a paragraph describing the problem. We'll scope it and get back to you within 48 hours with a realistic timeline and cost estimate. No pitch deck. No sales call.
info@perceedigital.com
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