Codapult

Most SaaS starter comparisons are pretty useless.

People usually count feature checkboxes: "Does it have Stripe? Does it have Dark Mode? How many UI components come in the box?"

That line of thinking misses the exact thing that hurts you six months after launch: How easy is it to change your mind when your product actually starts growing?

When you build a real SaaS, your requirements change fast:

• You start as a tiny micro-SaaS, but suddenly customers ask for B2B teams and roles.

• You need to switch from Stripe to Lemon Squeezy or Polar because of merchant-of-record requirements.

• You need an admin panel for support, audit logs, or usage limits.

• You want a lightweight MVP today, but don't want to leave 40 unused files rotting in your repository if you don't need those features yet.

I spent a lot of time analyzing and building SaaS boilerplate architectures. Here is a realistic, no-fluff breakdown of four popular starters in 2026—ShipFast, Supastarter, MakerKit, and Codapult—and how to decide which one fits your project.

Quick Breakdown of the 4 Contenders

1. ShipFast

• Vibe: The quick-launch weekend hack.

• Best for: Solo founders building a simple B2C micro-SaaS or a side project that needs a landing page + payment button as fast as possible.

• The Tradeoff: It's lightweight and easy to grok on day one, but it's deliberately simple. Once you need organization multi-tenancy, complex RBAC, or modular provider swapping, you'll be writing that infrastructure from scratch.

2. Supastarter

• Vibe: The polished monorepo boilerplate.

• Best for: Developers who love modern monorepo tooling (pnpm, Turborepo) and want a well-structured foundation with solid internationalization and multi-tenant support out of the box.

• The Tradeoff: It has strong opinions on project structure. If you align with its stack and monorepo philosophy, it’s a pleasure. If you want a simpler single-repo setup, it might feel like overkill.

3. MakerKit

• Vibe: The mature ecosystem player.

• Best for: Founders who rely heavily on Supabase or Firebase as the core backend of their stack and want pre-built modules for teams, billing, and auth.

• The Tradeoff: Its architecture is tightly coupled to specific backend ecosystems (like Firebase/Supabase). If you want pure database flexibility (e.g. switching between PostgreSQL and SQLite/Drizzle), it’s harder to detach.

4. Codapult

• Vibe: The adaptive starter—from lightweight micro-SaaS to B2B powerhouse.

• Best for: Anyone building a SaaS (whether it's a 1-day solo micro-SaaS or a complex multi-tenant B2B app) who wants a clean, minimal codebase without dead code or architectural lock-in.

• The Tradeoff: You spend 30 seconds running an interactive CLI wizard at setup to select your exact scope, rather than getting a fixed, one-size-fits-all repository.

The Real Question You Should Ask

Instead of asking "Which starter has the most features?", ask yourself:

"Can this starter stay lightweight today without trapping me in an architectural dead end tomorrow?"

Here is how the four main architectural decisions play out in practice:

1. Light vs. Heavy: The False Dichotomy

The biggest misconception in SaaS starters is that you have to choose between a "minimal micro-SaaS starter" and a "heavy B2B boilerplate."

• Standard approach: You either pick a tiny starter and rebuild infrastructure when you grow, or pick a bloated B2B starter and spend hours manually deleting unused team/AI/admin code for a simple project.

• The Codapult approach: The CLI wizard prompts you at setup. If you just need a solo micro-SaaS with one auth method and one payment plan, it permanently strips out all teams, RBAC, AI, and admin modules. You get a codebase as lean as a micro-starter, but with enterprise-grade architecture under the hood if you ever decide to enable those modules later.

2. Payment Flexibility (The Billing Trap)

Billing almost never stays simple. You start with a $29/mo flat subscription. Then customers ask for one-time credits, seat-based pricing, annual discounts, or usage tiers.

• ShipFast: Direct Stripe implementation. Quick to set up, but refactoring to another provider or complex billing model requires rewriting billing handlers throughout the app.

• Codapult / Supastarter: Use abstract payment adapters. Your app calls a clean interface (createCheckout, handleWebhook), while Stripe, Lemon Squeezy, or Polar sit behind it. Swapping providers doesn't break your core application code.

3. Database Choice

• Turso + Drizzle: Unbelievably fast, lightweight, SQLite-compatible edge database. Perfect for fast iteration, micro-SaaS, and low latency.

• PostgreSQL (Prisma/Drizzle): The battle-tested standard for B2B SaaS and enterprise compliance.

• Supabase / Firebase: Great if you want authentication, storage, and database bundled into one managed platform.

Pick the database that your project needs right now. If you aren't sure, Drizzle + Turso or Postgres is usually the safest TypeScript-first path in 2026.

The Decision Checklist

Here is a simple rule of thumb to help you choose:

1. Pick ShipFast if: You are a solo hacker building a quick B2C tool, want a simple landing page + checkout in 48 hours, and know for sure you'll never need teams, admin tooling, or provider flexibility.

2. Pick Supastarter if: You specifically want a clean monorepo, value i18n out of the box, and like its monorepo architecture.

3. Pick MakerKit if: Your product is built strictly around Supabase or Firebase, and you want pre-made templates tied to those platforms.

4. Pick Codapult if: You want the best of both worlds—start as a lightweight micro-SaaS today, but keep the option to scale to B2B features (teams, admin panels, AI guardrails, swappable providers) tomorrow without rewriting your app.

Final Thought

The best starter is the one that fits your product today and survives your next release.

You don't need to bloat your MVP with features you don't use, nor do you need to paint yourself into a corner. Pick an architecture that lets you start lean, clean, and fast—regardless of whether you're launching a micro-tool or a full B2B platform.

I wrote a deeper breakdown covering database schemas, billing adapters, and the full architectural feature matrix over on the Codapult comparison page.

Last month I decided to test a simple hypothesis: with top-tier models like Claude Opus 4.8 and GPT-5.6 running inside CLI agents, is the SaaS boilerplate officially dead?

I opened a fresh directory, booted up an agentic loop, and asked it to scaffold a production-ready Next.js 16 app with Better-Auth, Stripe subscriptions, Tailwind v4, and Drizzle ORM.

Three hours and a $180 Anthropic invoice later, I had my answer.

The Brutal Math of Multi-File Context

When people say "AI coding is basically free," they are usually talking about generating a single UI component or a standalone utility function. That costs pennies.

That math completely falls apart the second you ask an agent to build a multi-page architecture across 30+ interconnected files.

Agentic workflows don't just write code—they inspect directory trees, run terminal checks, read type definitions, and edit files across multiple passes. Every time the agent makes a tool call, runs npm run build, or checks why a Server Component failed to re-render, it re-sends the entire repository context back into the model.

Add thousands of reasoning tokens per pass, and a single multi-turn session to wire up auth, session cookies, and Stripe webhooks easily burns through $150 to $300+ in raw API credits.

You are effectively paying AI providers hundreds of dollars to have an agent repeatedly re-invent standard authentication flows from scratch.

The Cohesion Problem: 70+ Modules Don't Just "Prompt" Together

Models like Opus 4.8 and GPT-5.6 are brilliant at generating localized logic. But a production SaaS isn't a collection of isolated files—it is a tightly coupled web of dependencies.

A real foundation requires 70+ modules and 30+ database tables all speaking the exact same language:

• Auth & Identity: Better-Auth configured for Passkeys, 2FA, SSO, and multi-tenant Organizations.

• Billing Lifecycles: Webhook handlers for both Stripe and LemonSqueezy, subscription seats, grace periods, and usage metering.

• System Layer: Admin dashboards, granular RBAC, and i18n localization routing.

When you try to prompt an agent into building this graph from scratch, type drift is inevitable. The database schema slightly diverges from the session middleware; the RBAC checks miss an edge case in server actions; the payment webhooks break when a workspace ID is passed as undefined instead of a string.

Fixing these cross-module integration bugs requires constant back-and-forth prompts, burning through tokens just to get basic features to stop breaking each other.

The Day-2 Infrastructure Trap

Agents excel at building things that run on localhost:3000 via npm run dev. They are notoriously unreliable when preparing code for production infrastructure.

Getting a project ready for production means setting up Infrastructure as Code (IaC):

• Valid Docker Compose files for local production mirrors.

• Clean Terraform or Pulumi manifests.

• Ready-to-deploy Kubernetes Helm charts.

• Multi-database flexibility, like swapping between PostgreSQL and edge-ready Turso SQLite via an environment variable (`DB_PROVIDER`).

When you ask an agent to generate valid Helm charts or Terraform manifests alongside app code, it frequently hallucinates configuration keys or outputs outdated syntax. Debugging a failing deployment pipeline through an AI agent can cost $30 to $50 in API compute alone, purely spent fixing minor syntax errors in YAML and HCL files.

AI Code is a Dead-End Fork

Code generated by a prompt session is a static snapshot in time. It has no lineage and no upstream repository.

Six months from now, when Next.js introduces breaking API changes, Tailwind v4 releases a major patch, or security vulnerabilities surface in your auth dependencies, your AI-generated starter becomes instant technical debt. Your only recourse is to feed the whole codebase back into an agent and hope it doesn't break your custom business logic while refactoring.

A purpose-built boilerplate provides a Git upstream remote. When core security patches, framework migrations, or new features drop, you pull them directly with git pull upstream. You own a living codebase backed by an active maintainer, not an unmaintainable single-shot generation.

The Agent Baby-Sitting Tax

Even if API tokens were completely free, there is the time cost.

Current agents are fast, but they aren't autonomous enough for you to write one prompt and walk away while a full application builds itself. You are forced to sit at your terminal baby-sitting the process:

• Reviewing diffs to make sure the agent didn't mess up Next.js 16's async request APIs (`cookies()`, headers(), or route params).

• Approving terminal executions and watching builds fail because a webhook route missed a signature check.

• Guiding the model through fixing subtle hydration mismatches between server and client states.

If you ever decide to customize the setup mid-build—for instance, removing multi-tenancy while keeping organization billing—asking an agent to refactor its own freshly written code usually results in broken imports and orphaned schema tables.

Compare that to running an interactive CLI installer like npx create-codapult, which prompts you for feature flags upfront and instantly outputs a clean, trimmed codebase in seconds.

Save Your Compute Budget for What Actually Matters

Top-tier models are incredible at writing complex, unique business logic that sets your product apart. Using high-reasoning compute to re-generate standard Stripe subscription lifecycles, Tailwind v4 configs, and DB schemas is a waste of capital.

You’re paying premium rates for the AI equivalent of laying a brick foundation.

Skip the Scaffolding Prompts

This is exactly why I built Codapult.

It is a clean, modular Next.js 16 SaaS starter designed to save you from prompt fatigue and context drain:

• Complete Foundation: Better-Auth (Passkeys, SSO, 2FA), Stripe & LemonSqueezy billing, Tailwind v4, Drizzle ORM, and i18n out of the box.

• Production Infrastructure: Pre-configured Docker, Terraform, Kubernetes Helm charts, and flexible DB routing (PostgreSQL / Turso SQLite).

• Extensible Architecture: Need specialized capabilities later? Drop in official modules like the AI Kit, CRM, or Helpdesk without touching the core framework.

• Maintainable Lifetime: Stay updated effortlessly via the Git upstream CLI workflow.

You run git clone or use npx create-codapult, drop in your .env variables, and start building actual features immediately.

Save your high-tier tokens for your core product.

Codapult includes a complete, production-ready Next.js 16 stack out of the box — Better-Auth, Stripe/LemonSqueezy billing lifecycles, Tailwind v4, Drizzle ORM, IaC configs, and modular plugins — saving you hundreds of dollars in API compute and hours of agent orchestration. Explore the architecture in the documentation.

How are you balancing agentic workflows with pre-built boilerplate architecture in your projects? Are you fully prompting, or cloning first?

A massive amount of glue code usually goes into "just" wiring auth, billing, teams, and admin. But the bigger problem with most starter kits isn't just setup time — it's vendor lock-in.

You buy a boilerplate, but the moment you need to switch from Stripe to LemonSqueezy or change your auth provider, you end up rewriting half the application logic.

So I built Codapult — a Next.js 16 boilerplate where the entire foundation is pre-wired, but every external dependency sits behind a unified adapter interface. Application code never imports a provider SDK directly.

What this looks like in practice:

• PAYMENT_PROVIDER=stripe → lemonsqueezy or polar (checkout, webhooks, and portal adapt automatically)

• AUTH_PROVIDER=better-auth → kinde (without modifying your application routes)

• STORAGE_PROVIDER=local → s3 or r2 (for seamless local dev vs. production setups)

Architecture & Features:

• Adapter-First Design: Swap providers via environment variables without touching business logic.

• Modular CLI: Comes with 70+ pre-built modules (waitlist, referrals, A/B testing, admin), but lets you purge anything you don't need via CLI to keep the codebase lean.

• Modern Stack: Next.js 16, TypeScript, Tailwind CSS, and full source code ownership (one-time purchase).

Live demo: demo.codapult.dev

I'd love to get your thoughts on using adapter patterns for SaaS starters. Happy to answer any questions about how the provider abstractions work under the hood!