Ship features on day one,
in a true production environment.
A real working application — auth, testing, and CI/CD already done. An AI team that has read your code and writes features that fit it. Infrastructure your enterprise customers can sign contracts on. Running in your AWS in 15 minutes.
$247/mo founding price (normally $497) · Complete Stack · Cancel anytime
VPC + RDS + ECS provisioned
LATENCY 142ms
NestJS + React Native ready
TESTS 847 passing
4 agents online_
MODEL Claude Sonnet 4.6 · Bedrock
Time to production
15m
Saved vs. 3 devs / yr
$442k
AI agents on staff
4
Test coverage included
80%
Shipping today on ReadyShip
⚡ EARLY ACCESS — FOUNDING MEMBER PRICING
$247/mo locked in forever.
Price increases to $497/mo at GA. Same complete stack. Same AI team. Same 15-minute deploy.
You subscribe via Stripe → get instant AMI access → launch on your AWS.
Limited to the first 50 founding members.
or book a call first →§ 01 — The Problem
You have three to six months to show traction. Most of it shouldn't go to setup.
Runway spent before you ship anything
Every week your engineers spend configuring servers, pipelines, and databases is a week they're not building the product you raised money for.
Runway consumed
Enterprise customers ask hard questions early
How is our data protected? Where does it live? Can I see your deployment setup? These questions arrive before any contract. The answers need to be correct already.
Enterprise deals on the line
Your best engineers are wiring plumbing
The engineers who can build your core product are spending time on auth flows, database migrations, and infra configuration instead of the features that matter.
Features not shipping
§ 02 — The Solution
A working application, an AI team, and infrastructure your customers trust.
Ready in 15 minutes.
Pillar 01
An environment your enterprise customers trust
Enterprise-grade infrastructure deployed entirely to your AWS account. No third-party access, no shared infrastructure. When an enterprise prospect asks how their data is protected, the answer is straightforward: it never leaves your environment.
Pillar 02
A codebase your engineers ship on day one
Auth, testing, CI/CD — already done. Migrating from Render or Supabase? Your existing code comes in during onboarding. Your engineers build features immediately, not foundations.
Pillar 03
An AI team that knows your specific codebase
Four agents that have read your actual code. They write features that fit your architecture — not generic output that needs reworking. Write a ticket in plain English. The squad ships it.
§ 03 — What You Get
The complete development stack.
Zero setup.
Networking, Data, DevOps
- multi-AZ
VPC + Subnets
Public/private, NAT gateway, security groups.
- platform 1.4
ECS Fargate + ALB
Auto-scaling containers, zero server management.
- 16.3
RDS PostgreSQL
Multi-AZ, encrypted, automated backups.
- edge
S3 + CloudFront
Asset buckets and a global CDN edge.
- live
CodePipeline + CodeBuild
Automated CI/CD with CloudWatch monitoring.
Mobile, Web & API
- 0.74
React Native
iOS, Android, Web (PWA) from one codebase.
- 10.x
NestJS API
Modular, scalable backend with Swagger docs.
- secure
JWT Auth + RBAC
Refresh tokens, role policies, SSO-ready.
- effect
Effect Schema
Type-safe data modeling, runtime validation, encode/decode. No surprises at the boundary.
- 847 tests
Jest + Supertest
Unit + integration suite, 80%+ coverage.
Autonomous Squad
- orchestrator
CEO Agent
Breaks features into backend + mobile tasks.
- 24/7
Backend Engineer
Writes NestJS + PostgreSQL, commits to git.
- 24/7
Mobile Engineer
Builds React Native UI & state.
- guardrail
QA Agent
Runs tests, blocks deploys on regressions.
- bedrock
Claude Sonnet 4.6
Latest Bedrock model. Billed to your account.
Why this matters: This isn't a toy template. It's the same architecture senior engineers spend two to three months building — proper separation of concerns, type-safe error handling with Effect, security best practices, scalability patterns, test coverage. You're getting $50k+ of engineering work, pre-built and tested.
§ 04 — Differentiator
Everything here belongs to you.
Code, data, infrastructure — none of it is ours.
Your Data
Everything stays in your AWS account — no third-party access, no shared infrastructure. Enterprise customers can audit your setup on day one.
Your Infrastructure
Full CloudFormation source included. No black boxes. Your engineers can read it, modify it, and understand exactly what's running.
Your Codebase
Full source in your git repo. Fork it, extend it, hand it to any engineer. Cancel ReadyShip and your product keeps running.
Your AI Usage
AI agents run in your Bedrock account. No customer data goes to a third party. Your AWS credits apply directly.
→ Anti-lock-in
Cancel tomorrow. Keep everything.
Most platforms hold your data and code as leverage. We hand you the keys on day one.
Infrastructure
CloudFormation you can read
Codebase
Full source in your git repo
AI Team
Runs on your Bedrock
Data
Stays in your VPC
Cancel anytime and keep everything. We give you the entire stack.
§ 05 — Architecture
We made the hard choices.
So you don't have to.
Q.
Why React Native?
iOS + Android + Web from one codebase. Ship everywhere without maintaining three apps.
Q.
Why NestJS?
TypeScript end-to-end. Structured, scalable, maintainable. Not a mess of Express middleware.
Q.
Why PostgreSQL?
Battle-tested, ACID-compliant, handles complex queries. Not a NoSQL experiment.
Q.
Why ECS Fargate?
Auto-scaling containers without managing servers. Pay only for what you use.
Why this matters: These aren't trendy choices. They're boring, proven technologies that senior engineers pick for production systems. We chose stability over hype.
§ 06 — Codebase
Not a template.
A foundation.
Authentication System
- — Registration & login
- — Email verification flow
- — Password reset via email
- — JWT + refresh tokens
- — Session management
- — "Remember me"
User Management
- — Profile CRUD
- — Avatar upload to S3
- — Account settings
- — Role-based permissions
- — Audit logging
API Architecture
- — RESTful endpoints
- — class-validator pipeline
- — Error middleware
- — Rate limiting per route
- — CORS + versioning
Database Layer
- — Effect Schema models + SQL migrations
- — Seed data for dev
- — Soft deletes + timestamps
- — Indexes for performance
Testing Infrastructure
- — Jest unit tests
- — Supertest integration
- — Test database setup
- — Mock services
- — 80%+ code coverage
DevOps Setup
- — Docker multi-stage builds
- — Dev / staging / prod configs
- — Health-check endpoints
- — Graceful shutdown
- — Log aggregation
Start shipping features on day one.
Skip the six-week "foundation sprint" every project starts with. Authentication, database setup, CI/CD, testing — it's done. Write your first feature in hour one.
§ 07 — The Squad
Your team. Four AI agents.
Create a ticket: "Add user profile page with avatar upload." The CEO Agent breaks it into backend and mobile tasks. Engineers write the code. QA tests everything. Code auto-deploys via your CI/CD.
CEO Agent
Breaks down features into backend + mobile tasks. Delegates to the squad.
Owns
Sprint plan
Model
Sonnet 4.6
Backend Engineer
Writes NestJS + PostgreSQL code. Migrations, endpoints, business logic.
Owns
API + DB
Stack
TS · Nest · Effect
Mobile Engineer
Builds React Native UI. Components, state, navigation, deep links.
Owns
iOS/Android/Web
Stack
RN 0.74
QA Agent
Tests everything, catches bugs, blocks deploys on regressions.
Owns
E2E suite
Guard
main branch
How it works
Powered by AWS Bedrock · Claude Sonnet 4.6
You write a ticket
"Add user profile page with avatar upload."
CEO splits the work
Backend + mobile tasks routed to specialists.
Engineers write code
Commits land on a feature branch in your git.
QA runs the suite
Reports issues, blocks regressions, opens PR.
CI/CD ships it
Auto-deploys to staging, then production.
§ 08 — Use Cases
Built for speed.
Proven in production.
"We had three months to MVP before Demo Day. Month one was usually AWS setup. ReadyShip gave us production infrastructure plus a tested codebase instantly. We spent all three months on features. Shipped with 2,000 users on launch day with zero infra issues."
— Early access customer
Result
2k
users on launch day
Saved
1 mo
no AWS setup phase
"Our team builds 10–15 internal tools a year. ReadyShip is our standard foundation now. Instead of six engineers spending two months on infrastructure for each project, we deploy ReadyShip and start building features. Saved us $500k in engineering time last year."
— VP Engineering · Fortune 500
Saved
$500k
in eng time, last year
Tools / yr
10–15
on one foundation
"Clients expect production quality. We were reinventing auth, database structure, and deployments every project. Now we deploy ReadyShip, customize the UI, and deliver production apps in four weeks instead of twelve. Our profit margins doubled."
— CTO · Product Studio
Delivery
4 wks
down from 12
Margin
2×
profit doubled
§ 09 — Compare
ReadyShip vs. everything else.
| Feature | ReadyShip | Replit / Bolt | Heroku | Custom AWS | Amplify |
|---|---|---|---|---|---|
| Production-ready infra | ✓ Day one | — Prototype only | ~ Basic | ✓ 3–6 months | ~ Weeks of config |
| Battle-tested codebase | ✓ Included | — Blank slate | — None | — Build yourself | ~ Minimal templates |
| AI dev team | ✓ 4 agents | — None | — None | — Hire humans | — None |
| Runs in your AWS | ✓ Your account | — Their cloud | — Their cloud | ✓ Yes | ✓ Yes |
| Full source code | ✓ Yours forever | ~ Generated | — Locked in | ✓ You build it | ~ CLI-generated |
| Time to production | ✓ 15 minutes | — Weeks to rebuild | ✓ Fast | — Months | ~ Weeks |
| Use AWS credits | ✓ Yes (all costs) | — No | — No | ✓ Yes | ✓ Yes |
| Platform fee | $247/mo (founding) · $497/mo at GA | $20–100/mo | $500–5k/mo | $0 | $0 |
| AI usage / limits | ~$50/mo @ 10M tok · no cap | Capped: ~10M tok or 100 checkpoints | — None | — None | — None |
| Infrastructure | From $62/mo @ 2k MAU | Included | Included | You build | You provide |
| Developer salaries | $0 | $0 | $0 | $37.5k/mo (3 devs) | $37.5k/mo |
| Total monthly | From $359 @ 2k MAU (founding price) | $20–100* | $500–5k | $37,500+ | $37,500+ |
*Not production-ready. You'll rebuild anyway. Bedrock estimate based on Claude Sonnet 4.5 at 10M tokens/mo (80/20 in/out split, before prompt-cache discount).
§ 10 — Pricing
One subscription. The complete stack.
Founding price locked in forever.
Early Access
FOUNDING MEMBER
$247/mo
($497 at GA)
+ AWS costs (billed directly by AWS)
— Bedrock (AI): $50–200/mo
— Infrastructure: from $62/mo @ 2k MAU
Typical total: from $359/month @ 2k MAU
or book a call first →- check4 AI agents · unlimited tickets
- checkEnterprise-ready infrastructure in your AWS account
- checkA working application your engineers build on immediately
- checkAuth, CI/CD, 80% test coverage — done
- checkCancel anytime, keep everything
- checkPrice locked in forever — even after GA
Billed monthly via Stripe during early access. Migrates to AWS Marketplace billing at GA — your price stays $247/mo.
Technical Onboarding
$8,997 · one-time
Most platforms give you a deploy button and a docs link.
We work with your engineer until your stack is truly yours.
A senior ReadyShip engineer embeds with your team for a focused week. We walk every line of infrastructure, map the codebase to your product, and run your first real features through the AI team together. You finish the week with a running product, a team that understands it, and no questions left unanswered.
What's covered
-
Infrastructure Review
Every AWS resource explained. IAM policies, VPC config, RDS setup, ECS scaling rules. Your engineer leaves knowing exactly what's running and why.
-
Codebase Orientation
NestJS modules, React Native structure, auth flow, Effect Schema models. Mapped to your actual product — not a generic walkthrough.
-
AI Team Workflow Setup
Create your first 10 tickets together. Establish PR review conventions. Set QA gates. Watch the agents ship real code before we leave.
-
Environment Configuration
Dev, staging, production fully configured for your team. Branch strategy, secrets management, deploy rules done.
-
30-Day Follow-Up Call
One session four weeks in. Review what's working, unblock anything that came up, adjust the AI team workflow.
Not sure if you need it? If you have a technical co-founder or senior engineer already, you probably don't. If you're moving fast and can't afford a slow start, you do.
AWS infrastructure and Bedrock costs are still billed by AWS — your credits cover those. Platform fee ($247/mo) is billed via Stripe during early access. At GA, the platform fee moves to AWS Marketplace and becomes credit-eligible too.
AWS supports startups.
Put their credits to work.
50,000+ startups receive $25k–$100k in every year through accelerators, investors, and direct programs. Most only use a fraction — because they don’t have infrastructure ready before the credits expire. ReadyShip changes that.
Why most credits go unused
They expire fast
Most programs give 12–24 months. Sounds like plenty — until you realize AWS infra takes 3–6 months to build.
They only cover AWS services
Credits can't pay for engineering time. Your team still has to build the AWS infrastructure before any credits get used.
By the time you're ready, they're gone
Months 1–3 hiring. Months 4–6 building. Month 7 your credits expire. You spent $100k cash and used $5k in credits.
How ReadyShip maximizes them
- check
Infrastructure in 15 minutes
Start using credits on day one — not month six.
- check
Infrastructure + AI covered by credits
Infrastructure + AI covered by credits — RDS, ECS, S3, Bedrock all bill to your AWS account. During early access, the $247/mo platform fee is billed via Stripe (not credit-eligible). At GA, the platform fee moves to AWS Marketplace and becomes fully credit-eligible.
- check
All AWS services covered
RDS, ECS, S3, CloudFront, CodePipeline, Bedrock — everything runs on credits.
- check
AI team multiplies your devs
Credits cover Bedrock usage — so your engineers ship 3–5× more by delegating boilerplate to the squad.
Without ReadyShip · $100k credit grant
$40k–70k unused
- — Months 1–6: Building infra (credits unused)
- — Months 7–12: $5–10k/mo = $30–60k credits used
- — Credits expired before you could use them
With ReadyShip Complete · $100k credits
$90k+ used productively
- — Platform fee: $247/mo = $2,964/yr (founding price, via Stripe during early access)
- — AWS Bedrock (AI): ~$1,200–2,400/yr
- — AWS infra: from $744/yr @ 2k MAU (linear with growth)
- Yr 1 total: from $4,908 · infra + AI covered by credits, platform via Stripe
Year 1
Covered
Year 2
Covered
Yr 3–5
Keep building
Turn your $100k credit grant into a fully-built product.
Accelerators
- — YC AWS Activate · $25–100k
- — Techstars · $5–25k
- — 500 Global · $5–25k
- — Alchemist · $25k
Cloud Programs
- — AWS Activate Portfolio · $100k
- — ISV Accelerate · $25–100k
- — AWS for Startups · $5–25k
Investors
- — Sequoia Scout · $25k
- — a16z portfolio · $25–100k
- — First Round · $25k
- — Founders Fund · $25k
Competitions
- — AWS Startups Build · $5k
- — Hackathon winners · $5–10k
- — University programs · $5k
If you've taken funding, joined an accelerator, or won a competition — you likely have credits sitting unused.
Customer story
"We had $100k in AWS Activate credits from YC. Tried to use them but had no infrastructure running — we paid engineers from runway to build AWS setup. ReadyShip deployed everything instantly. We've now used $87k of credits on actual infrastructure and AI development instead of letting them expire."
— Early access customer
Action
See what AWS is offering you.
Check your dashboard. Then deploy ReadyShip and put them to work on day one.
§ 12 — The Math
$247/month vs. building it yourself.
Building in-house · Year 1
$451,200
3 developers + infrastructure
- 3 developers · 12 mo$450,000
- AWS infra (@ 2k MAU)$744
- Setup time3–6 mo
- Time to first featureWeek 8+
ReadyShip Complete · Year 1
$4,908
Platform + Bedrock + Infra @ 2k MAU
- Platform · $247/mo × 12$2,964
- AWS Bedrock (AI) · ~$100/mo$1,200
- AWS infra · $62/mo @ 2k MAU$744
- Setup time15 min
- Time to first featureHour 1
You save
$446,292 / year
Can I really use AWS credits for ReadyShip?+
During early access, the platform fee ($247/mo) is billed via Stripe and is not covered by AWS credits. However, all AWS infrastructure costs (RDS, ECS, S3, CloudFront) and AI usage (Bedrock) are billed directly by AWS and fully covered by credits. At GA, the platform fee moves to AWS Marketplace and becomes credit-eligible too. Founding members keep their $247/mo price.
What if my credits run out?+
The exact same bill switches from credits to your payment method. No service interruption, no repricing, no migration. You're already on normal AWS billing — credits just pay for it. During early access, the $247/mo platform fee is billed via Stripe regardless of credits. AWS infrastructure and Bedrock costs switch from credits to your AWS payment method as normal.
Do credits cover everything or just infrastructure?+
Everything. The ReadyShip platform fee ($0.69/hr), AWS services (RDS, ECS, S3, CloudFront), and AI usage on Bedrock are all AWS spend — credits apply to every line.
What are the actual total costs?+
ReadyShip has three components:
- — Platform fee: $247/month (founding price, billed via Stripe)
- — AWS Bedrock: $50–200/mo for AI agents (billed by AWS)
- — AWS infrastructure: $50–200/mo for RDS, ECS, S3, etc. (from $62/mo @ 2k MAU)
Typical total: $359–647/month. AWS infrastructure and AI costs covered by credits.
What is founding member pricing?+
Early access customers pay $247/mo instead of the standard $497/mo — and keep that rate forever, even after ReadyShip moves to AWS Marketplace. It's our way of rewarding the people who bet on us early. Same product, same features, permanently lower price.
How does billing work during early access?+
The platform fee ($247/mo) is billed monthly via Stripe. AWS costs (infrastructure + Bedrock AI) are billed directly by AWS as normal — your credits apply to those. When ReadyShip launches on AWS Marketplace, your platform billing migrates there too, but your founding price stays locked at $247/mo.
Why is Bedrock billed separately?+
AWS Bedrock (Claude) runs in your AWS account, not ours. That means:
- — Direct AWS pricing, no markup from us
- — Your AWS credits apply to AI usage
- — Data sovereignty: AI runs inside your VPC
- — Exact AI cost visible in your AWS console
We charge only for the orchestration platform that manages the agents.
Can I estimate my Bedrock costs?+
Typical usage:
- — Light (1–2 features/wk): $50–80/mo
- — Medium (3–5 features/wk): $100–150/mo
- — Heavy (10+ features/wk): $200–300/mo
Bedrock charges per API call — it's pay-as-you-go, so you only pay for what you use.
Is the codebase really production-ready?+
Yes. This is the same architecture senior engineers build: proper error handling, security best practices, comprehensive tests, scalable patterns. It's not a toy starter template.
Can I customize the code?+
Absolutely. You get the full source code in your git repository. Modify anything. Add libraries. Change the architecture. It's yours.
How technical do I need to be?+
Zero technical knowledge to deploy. Create tickets in plain English and AI builds the features. If you have developers, they get full code access.
What if the AI agents make mistakes?+
The QA agent tests everything. Failed tests block deployment. You also get full git history — review or roll back any change.
Do I need to know AWS?+
No. One-click deployment handles everything. You still get the full CloudFormation source if you want to customize.
Does the AI team replace my engineers?+
No — it amplifies them. The squad handles boilerplate, tests, and migrations so your senior engineers spend their time on architecture, product depth, and the work only they can do. Teams that adopt ReadyShip ship 3–5× more features without growing headcount.
What happens if I cancel?+
Everything keeps running. Infrastructure stays in your AWS, code in your git repo, full source access. Just disconnect the AI agents and maintain it yourself — or hire devs.
Can I build multiple apps?+
Yes. Deploy as many as you want. Each gets its own infrastructure, codebase, and AI team.
What about database migrations as I grow?+
Schema migrations are set up. AI agents can write new migrations. Everything is version-controlled in git.
Already have a codebase?+
Paperclip, the AI orchestration layer inside ReadyShip, migrates your existing code onto the ReadyShip foundation. Infra always starts fresh — production-grade VPC, RDS, and ECS from day one, not retrofitted later. That's the point: you get a clean, scalable base with your business logic on top.
Is this actually used in production?+
Yes. Companies are running apps with thousands of users on ReadyShip infrastructure. Auto-scaling, database backups, monitoring — it's all there.
→ Launch sequence
Everything is already built.
Start shipping your product.
A real application, an AI team that knows it, and infrastructure your customers trust. Running in your AWS in 15 minutes.
Your infrastructure is done before day one
Inherit a codebase your engineers will respect
AI team ships while you focus on customers
$247/mo founding price · Infra from $62/mo @ 2k MAU · cover infra + AI · Cancel anytime