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Direct comparison

MakerKit

ShipAI.today vs MakerKit ($299 lifetime (Pro))

MakerKit is a solid Supabase-first kit, but ShipAI.today adds deeper AI infrastructure.

$299 lifetime (Pro)Next.js, Supabase, Shadcn UI, Tailwind, StripeVS

Quick context

Multi-tenancyRBACBlogi18n

Website: https://makerkit.dev

Variant

VS

Competitor

MakerKit

Migration steps

3

Where ShipAI.today is stronger than MakerKit

Vector + graph memory layers

BullMQ workers and async jobs

OpenTelemetry tracing baseline

Where MakerKit is still a strong fit

Strengths

  • · Supabase and Shadcn UI baseline
  • · Multi-tenant RBAC support
  • · Good starter docs and blog

Best for

Supabase-first teamsMulti-tenant SaaS appsShadcn UI fans

Where MakerKit introduces constraints

AI support is template-level

Limited background worker stack

Less observability out of the box

Migration path to ShipAI.today in one focused cycle

Step 1

Recreate RBAC on ShipAI auth helpers

Step 2

Move Supabase data to Postgres

Step 3

Wire AI flows to ShipAI handlers

Decision questions teams ask most

Why should I choose ShipAI.today instead of MakerKit?

Choose ShipAI.today when your priority is vector + graph memory layers and you need a faster path to stable execution without heavy platform rewrites.

When should I choose MakerKit instead of ShipAI.today?

MakerKit is still a fit when your priorities align with supabase-first teams and your roadmap does not require deeper AI orchestration yet.

What is the biggest migration risk?

The primary migration risk is stack realignment from Next.js, Supabase, Shadcn UI, Tailwind, Stripe. Use the switch plan to sequence data, auth, and workflow changes.

How quickly can teams switch?

Most teams can complete the first migration pass in one focused week when they scope to core auth, billing, and workflow routes first.

Ship faster on the right stack

Pick a foundation that matches your AI product roadmap.

Use this comparison to avoid costly rewrites and move onto a production-ready baseline with stronger AI workflow depth.

  • Structured strengths, gaps, and migration assessment
  • Feature-level context for implementation decisions
  • Consistent analysis framework across all competitor pages