Launchd

You didn't start a company
to become an infrastructure engineer.

But somewhere between the prototype and the first real customer, that's exactly what happened. And it's costing you more than you think.

The Problem

Building is easy.
Shipping is brutal.

Most developers can build the thing. Almost none of them can also build the infrastructure to run it, scale it, secure it, and operate it without burning two months they don't have.

  • A prototype ships in a weekend. A production-grade backend takes weeks of plumbing that has nothing to do with your product.
  • Every new capability is a new vendor, a new API key, a new thing that can silently break at 2am.
  • The further you get from the core product, the more your calendar fills with infrastructure that nobody ever wanted to build.
The Broken Market

The ladder is broken
on both ends.

Path A
Heroku, Railway, Render

Fast to start. Great for demos. The moment you need durable queues, fine-grained auth, or anything that has to survive a traffic spike, you hit a wall. These tools were never designed to run your company.

Built for prototypes. Falls apart at scale.

Path B
AWS, GCP, Azure

Production-grade from day one. Also requires a dedicated platform team to configure, secure, and maintain. For a four-person startup, this isn't a platform. It's a second full-time job with worse ergonomics.

Built for infra teams. Not for builders.

There is almost nothing in the middle for teams of 2 to 15 who are building real products but cannot hire a platform engineer.

The Hidden Cost

Every startup has
two codebases.

The one that ships. And the one that keeps it running.

  • Auth glued together from three different providers, each with a slightly different user model
  • A database you cannot confidently restore from backup
  • A queue that occasionally drops messages under load, silently
  • A cron job running on someone's laptop in the office
  • All operational knowledge locked in one engineer's head

This is not a tech debt problem. It's an attention tax. Every hour spent debugging infrastructure is an hour not spent on the product your customers are paying for.

The Shift

A million new builders.
Zero new infrastructure solutions.

10x
More software being built today than three years ago, driven by AI coding tools
60M+
Developers worldwide, with millions more shipping their first real production systems
0
Major infrastructure platforms redesigned around this new class of builders

AI tools dropped the cost of writing software by an order of magnitude. The number of people shipping real products exploded. But the infrastructure they deploy onto is still designed for 2012 engineering teams. The gap between "I built it" and "I run it reliably" just got wider, not smaller.

Why Now

The window opened.
Most people missed it.

  • AI-generated code outpaced operational tooling. Copilot ships features faster than teams can deploy and manage them. Infrastructure remained the bottleneck everyone forgot to fix.
  • Developer expectations shifted permanently. Vercel proved deployment can be instant. Supabase proved a database can be ergonomic. The bar for developer experience is now set by the best consumer products.
  • Indie builders are a real market now. Solo founders and two-person teams are building businesses that reach seven figures. They need real infrastructure, not toys with a pretty UI on top.
  • Opinionated stacks are beating fragmented ones. Developers are tired of wiring twelve SDKs together. The tools that make hard decisions for you are winning.
The Product

Everything you need
to run a real company.
Nothing you don't.

Functions
Serverless execution, no cold start configuration
Containers
Long-running services without managing clusters
Databases
Postgres, replicated, backed up, observable
Auth
Authentication and authorization built into the platform
Storage
Object storage with CDN, no S3 bucket policy archaeology
Queues
Durable messaging with retry and dead-letter handling
Realtime
WebSocket infrastructure without managing connections
Orchestration
Durable workflows, scheduling, and job management
Architecture

Integration isn't a feature.
It's the whole product.

Fragmented (today)
# 5 vendors. 5 auth flows. 5 SDKs.
# 5 places for your user model to disagree.

auth = Auth0(API_KEY)
db = Supabase(URL, KEY)
queue = SQS(region="us-east-1")
store = S3(bucket)
jobs = Inngest(SIGNING_KEY)

# Pray they all agree on user.id
Launchd
import { db, queue, storage, jobs } from "@launchd/sdk"

# One auth context. One identity layer.
# One dashboard. One deployment command.
# One place where everything agrees.

export default function handler(req) {
  // just build the product
}

When the database user is the same as the auth user is the same as the queue sender, you eliminate an entire class of bugs that only appear in production, at the worst possible time.

Developer Motion

They don't switch for features.
They switch for momentum.

The first time a developer deploys their entire backend with one command, instead of wrestling with Terraform, IAM roles, and five separate dashboards, something changes. They don't go back.

  • Time to first deploy: 4 minutes, not 4 hours
  • Adding a background job: one import, not one sprint
  • Debugging a production incident: one trace across the full stack, not five browser tabs with different session tokens

This is how developer tools win. Not with better documentation. With a single moment that makes going back feel absurd.

Competitive Landscape

The market has two lanes.
We're building the third.

Platform Great DX Production Ready Full Primitive Stack Grows With the Team
Heroku / Railway Yes No No No
AWS / GCP No Yes Yes Barely
Vercel + Supabase + Inngest + Auth0 Yes Mostly Stitched No
Launchd Yes Yes Yes Yes

The "Vercel + Supabase + Inngest + Auth0" stack works until it doesn't. Then you're debugging cross-vendor auth failures at midnight with no single place to look. Launchd is what that stack would look like if it were designed as one product from the start.

Defensibility

Platform depth is
expensive to copy.

01
Workflow lock-in
Every cron job, queue handler, and deployment pipeline built on Launchd deepens the integration. The more a team builds, the higher the cost of leaving.
02
Cross-service observability
Integrated logging, tracing, and alerting across every primitive becomes institutional knowledge that doesn't exist anywhere else. Churning means losing that context entirely.
03
Integration depth
Each primitive makes the others more capable. Auth, database, and queue share a single identity layer. Rebuilding that from scratch takes years, not quarters.
04
Team growth motion
Developers bring teammates onto Launchd. Platform knowledge spreads through the team. Switching means re-training everyone, not just swapping a tool in one Makefile.
Business Model

We grow exactly when
our customers grow.

Revenue
Usage-based pricing

No seat licenses. No forced annual contracts. Teams pay for compute, storage, database, and messaging as they use them. Revenue grows as products scale. The business model is aligned with customer success, not against it.

Growth
Developer-led expansion

Individual developers adopt first. Teams follow. Usage expands across primitives as products mature. No enterprise sales motion required to grow within an account. Happy customers recruit their teammates.

High NRR
As companies scale, their infrastructure spend scales. Revenue grows without re-acquiring them.
Low CAC
Bottom-up adoption means organic word-of-mouth from every deploy. Developers talk.
Go-to-Market

Start with founders.
Win the infrastructure.

The best time to win a customer is before they have entrenched vendors, institutional inertia, and a platform team telling them why switching is impossible.

Stage 1 — Wedge
0 to 10 engineers

Founders, indie builders, and early-stage startups setting up production for the first time. No existing infrastructure debt. High pain. Low switching cost. This is where early adoption sticks fastest.

Hacker News
IndieHackers
AI builder communities
Stage 2 — Expand
10 to 50 engineers

Teams that have outgrown their duct-taped stack. They know the pain of fragmentation from first-hand experience. Launchd is the obvious consolidation. Migration tooling lowers the barrier from "sounds good" to "let's do it."

Consolidation motion
Migration tooling
Expansion across primitives
The Team

We've been
the customer.

The people building Launchd spent years on the other side of this problem, duct-taping infrastructure together for products they cared about. We're not building infrastructure tools in the abstract. We're fixing the things that cost us weekends, delayed launches, and gave us incidents we still think about.

The best infrastructure companies were not built by people who loved infrastructure. They were built by people who hated how painful it had become. Vercel. Supabase. Cloudflare Workers. That's the tradition we're working in.

[Founder bios, relevant prior companies, key engineering hires]

Vision

The default infrastructure layer for the next generation of founders.

Not another cloud. The one developers would have built if they'd started from scratch, knowing what they know now. Optimized for builders, not for procurement teams and SOC 2 vendor review processes.

Stripe didn't start out being described as "the financial infrastructure for the internet." It started by making payments less terrible for developers. In ten years, the best product companies will look back and realize their stack was built on Launchd, and they never had to think about infrastructure at all.

Launchd

The best builders in the world
deserve better tools.

We're raising a seed round to build the platform that takes the next 100,000 product companies from idea to production-grade infrastructure without turning them into infrastructure engineers along the way.

Get in Touch owen@simplelogic.net

Speaker Notes