Launchsuite

Launchsuite

Ship Your SaaS at Warp Speed

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Ship your SaaS at warp speed with LaunchSuite. The internet's most powerful SaaS boilerplate. Build production-ready apps in hours, not days. Everything founders spend weeks wiring up is already built in, integrated, and ready to Customise. Auth, Payments, DB, SEO, E-mails, Analytics, Testing, Status page, Deployment.Tech stack includes Remix, Shadcn/ui, Magic UI, Supabase, Stripe, Resend, PostHog,Playwright, and more. Everything Wired with a Powerfull Admin Dashboard.
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Launch tags:SaaS
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What do you think? …

Amit Kumar
Maker
📌
What Inspired This? Frustration, honestly. I kept starting SaaS projects and spending the first month rebuilding the same auth/billing/admin infrastructure. Every. Single. Time. Looked at existing boilerplates: ShipFast: Good, but $249/year felt wrong for code I download once Indie Kit: Cheap ($79), but super basic—no multi-tenancy, no admin panel Enterprise kits: $999+, total overkill for indie hackers The gap: No one was building for modern founders who want: Latest tech (React Router v7, not ancient Next.js) B2B-ready (multi-tenant from day 1) Complete admin tools (not just customer-facing features) Fair pricing (lifetime, not subscriptions) So I built LaunchSuite. First Ai-Optimised Complete multi-tenancy. Admin dashboard included. $199-299 lifetime. Result: You ship in days, not months. That's the whole point.

@kumaramit_08 I've had a similar experience, either super expensive or just scattered. Upvoted and will take a look.

Amit Kumar
Maker

@enlilasko thank you , this means a lot, and i always feel, why an idea have to wait, a quick implementation is always a win. you can better validate the idea.

Agbaje Olajide

his nails the indie hacker pain point perfectly—rebuilding the same foundation is the biggest momentum killer. The focus on multi-tenancy and a complete admin panel from day one is exactly what separates a side project from a real B2B tool.

A key technical question for teams choosing a boilerplate: How does the multi-tenancy model handle data isolation at the database level? Is it a schema-per-tenant, row-level security, or a separate database approach, and what are the trade-offs for scaling?

Amit Kumar
Maker

@olajiggy321 thank you for your valuable feedback,

we are working with three independent layers

Type system

  • No tenant-scoped query can be constructed without TenantContext

  • Application layer

    • BaseTenantService enforces scoping

    • Context propagation on every request

  • Database layer (RLS)

  • PostgreSQL enforces tenant boundaries even if application logic fails

Shared DB + Shared Schema + Mandatory Tenant Context + RLS

Why this model was chosen

This approach optimizes for:

  • Strong isolation

  • Low operational complexity

  • High developer velocity

  • Predictable scaling paths

Trade-offs vs other multi-tenancy models

  • Strong isolation (database-enforced)

  • Lowest operational overhead

  • Fast migrations

  • Easy horizontal scaling

  • Simple cross-tenant analytics (when explicitly allowed)

  • Cost-efficient for early → mid scale

    Current scale (tested): 100+ concurrent tenants 6.2s for 100 concurrent queries 280ms average response time.

    i hope this answers your query