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TypeScript + SaaS

TypeScript Developer
for SaaS

Strategic tech guidance without the equity. MVP in 8 weeks, scale to Series A. Saved founders $2M+ in avoided rewrites. Free strategy call.

Key Insights

01

Startups fail from premature scaling, not missing features—the first architecture should optimize for iteration speed, not theoretical load. Build for 100 users excellently before designing for 100,000.

02

TypeScript isn't just about catching bugs—it's documentation that never goes stale. When your first engineer leaves, the types explain what they built. This compounds into onboarding speed as you grow.

03

The 'boring technology' principle applies doubly to startups: PostgreSQL, Redis, and S3 have known failure modes. Novel tech stacks have unknown failure modes that consume debugging time you don't have.

04

Feature flags should be infrastructure from day one, not an afterthought. They're not just for gradual rollouts—they're how you turn off the feature that's breaking at 2 AM without deploying code.

05

Your first ten customers will ask for features that only they need. The architecture must distinguish core product from customer-specific customization, or you'll drown in bespoke code.

SaaS Regulations

Compliance requirements that shape technical architecture

Common Challenges

Problems I solve for clients in this space

Challenge

Choosing the right initial tech stack

Founders waste months debating technology choices when the answer is almost always 'it depends on what your team knows.' Wrong choices compound into technical debt.

Solution

Start with what your team is productive in, within reason. PostgreSQL, not MongoDB. React or Vue, not an obscure framework. Boring technology with known failure modes beats novel technology with unknown failure modes.

Challenge

Building for scale too early

Microservices, Kubernetes, and event sourcing are premature optimization for a startup with 10 users. The complexity slows iteration when you need speed most.

Solution

Monolith first, with clear module boundaries. The monolith can be decomposed when you have traffic patterns that justify complexity. Most startups never need microservices.

Challenge

Technical debt from MVP pace

Moving fast creates shortcuts that become landmines. But moving slow means running out of runway before finding product-market fit.

Solution

Strategic technical debt: document every shortcut, estimate remediation cost, and pay it down immediately once the feature proves valuable. Unknown debt is dangerous; known debt is a tool.

Challenge

Hiring the first engineers

Non-technical founders struggle to evaluate engineering candidates. Bad early hires can sink the company; over-qualified hires get bored and leave.

Solution

Technical advisor involvement in hiring: defining the role, reviewing resumes, conducting technical screens, and calibrating compensation. The first three engineers set the culture.

Challenge

Investor technical due diligence

Series A investors increasingly conduct code audits. Technical debt, security issues, and architectural red flags can tank deals or reduce valuations.

Solution

Proactive due diligence preparation: clean up the codebase before fundraising, document architectural decisions, address known security issues. I can conduct pre-diligence audits and coach you through investor technical questions.

Recommended Stack

Optimal technology choices for TypeScript + SaaS

Framework

Next.js (full-stack)

One framework for marketing site, web app, and API. Vercel deployment means no DevOps hire needed initially. The ecosystem provides solutions for every common problem.

Language

TypeScript

Type safety catches bugs before they reach production. Types are documentation that IDE's understand. The productivity payoff is immediate, not just long-term.

Database

PostgreSQL (via Neon or Supabase)

The database that can do anything—relational, JSON, full-text search, geo, timeseries. Managed services eliminate operational burden. You'll never regret choosing Postgres.

Authentication

Clerk or Auth.js

Authentication is commodity—don't build it. Clerk provides multi-tenant organizations out of the box. Auth.js if you need more control. Never roll your own auth.

Payments

Stripe

Industry standard for SaaS billing. Stripe Billing handles subscriptions, proration, and dunning. The 2.9% + 30¢ is cheaper than building and maintaining payment infrastructure.

Why TypeScript?

The startup tech stack problem is really a people problem disguised as a technology problem. You don't have dedicated DevOps engineers. You don't have a security team. You might not have any full-time engineers at all. The stack must accommodate this reality. Next.js on Vercel solves the deployment problem: push to GitHub, it's live. PostgreSQL on Neon or Supabase solves the database problem: no instance management, automatic backups, point-in-time recovery. Stripe solves the payment problem: subscriptions, invoicing, fraud detection, and tax compliance in a single integration. This isn't about finding the theoretically best technology. It's about removing operational burden so you can focus on the only thing that matters: building something people want. Every hour spent debugging Kubernetes is an hour not spent talking to customers. Every sprint dedicated to building authentication is a sprint not dedicated to your core product. TypeScript specifically deserves the productivity investment from day one. The learning curve is real but short. Within two weeks, every engineer is faster with TypeScript than without. More importantly, TypeScript captures institutional knowledge in a way that comments and documentation never do. When you're hiring your second engineer, the types explain what the first engineer built. This compounds as the team grows.

My Approach

I work with startups as a technical advisor, not a contractor. The distinction matters: contractors build what you specify; advisors help you figure out what to specify. My engagement starts with understanding your business model, your runway, and your team. The technical strategy flows from these constraints. For pre-seed and seed startups, the goal is validating the core hypothesis with minimal technology investment. I'll help you scope an MVP that can ship in 6-8 weeks, with clear upgrade paths when each feature proves valuable. We'll document every shortcut so you know exactly what technical debt you're taking on and why. For post-seed startups with product-market fit signals, the focus shifts to scalability and operational maturity. This is when we refactor the MVP shortcuts, implement proper monitoring and alerting, and prepare the codebase for team growth. The goal is making the next ten hires productive within their first week. Throughout both phases, I'm available for ad-hoc technical consultation: reviewing third-party vendor proposals, evaluating build-vs-buy decisions, interviewing engineering candidates, and preparing for investor technical diligence. The relationship is ongoing advisory, not project-based development. My incentive aligns with yours: if your startup succeeds, my reputation benefits. I'm not optimizing for billable hours; I'm optimizing for your outcome.

Investment Guidance

Typical budget ranges for TypeScript saas projects

MVP

$15,000 - $40,000

Core functionality, essential features, production-ready foundation

Full Solution

$50,000 - $150,000

Complete platform with advanced features, integrations, and scale

Factors affecting scope

  • Founder technical capability (can you contribute code?)
  • MVP scope and complexity
  • Third-party integration requirements
  • Timeline urgency
  • Ongoing advisory vs project-based engagement

Frequently Asked Questions

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