Using
Momen · full-stack no-code platform
to build

an Amazon-style online retail store

$113.58
/ mo
Build this app for free
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PROJECT OVERVIEW

What this app does

An Amazon-style e-commerce application where shoppers can browse a product catalog, view product details, manage a cart, place orders, and review their order history. Administrators maintain the catalog and review incoming orders. The scale assumption is based on approximately 1,000 users per day.

As an anonymous visitor, I can browse the product catalog and view product details
As a customer, I can add products to my cart and change quantities
As a customer, I can select a shipping address and place an order
As a customer, I can review my orders and order details
As an administrator, I can create and update categories, products, prices, stock, and product images
As an administrator, I can review incoming orders and update their status

The following user counts are projected totals after one year of growth

10
administrators
Internal staff who maintain the product catalog and review order fulfillment.
99990
customers
Registered shoppers who manage carts, place orders, and review purchases.
1000
anonymous_visitors
Public visitors who can browse the catalog and product details without an account.

COST BREAKDOWN

How your requirements become a plan and a price

Momen doesn't give a vague quote: it first sizes the project's actual demand for each capability and resource, then costs each item out. The numbers in the 'Project demand' column below — their scale assumptions and derivations — are detailed in Scale & sizing

Minimum viable plan
PRO
The Amazon-style storefront requires product purchasing and payment collection, requiring at least the PRO plan.
See the capability-by-capability assessment ▾
ITEM NAME
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
COVERAGE
AMOUNT
AI points add-on
x 0
0 points
not purchased
(plan/kit 5.0M points)
No requirement
$ 0
Outbound data transfer add-on
x 5
184.50 GB/mo
500GB × 5/year, amortized monthly
(plan/kit 10.00 GB/mo + add-on +174.50 GB/mo)
Add-on fills +174.50 GB/mo gap beyond plan/kit
$ 14.58
Object storage add-on
x 0
239.50 MB
not purchased
(plan/kit 10.00 GB)
Covered by plan/kit (margin ~4075%)
$ 0
Database storage add-on
x 0
222.33 MB
not purchased
(plan/kit 1.00 GB)
Covered by plan/kit (margin ~350%)
$ 0
single-tenant kit
x 0
1 req/s
not purchased
(plan/kit 25 req/s)
Covered by plan/kit (margin ~2400%)
$ 0
PRO
x 1
Pro is the minimum viable plan
Pro
(Plan tier: PRO)
See minimum viable plan above
$ 99
Monthly total
plan + add-ons · usage-based · no development cost
$113.58
/ mo

WHY MOMEN

Your options for this project

In the table below, the 'monthly infrastructure' for the self-built / AI routes is derived from the AWS list prices shown below, sized against this project's actual usage. Figures cover infrastructure and operations only — AI usage is billed separately and excluded here, so they don't match the $113.58/mo all-in above.

Current usage sizing
AWS list pricing
5.92 GB (first 100GB free)
Internet egress → 0.53
0.24 GB-month
S3 Standard → 0.01
0.22 GB-month
RDS gp3 storage → 0.03
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
2 × t4g.large × 730h
EC2 t4g.large → 98.11
Total ≈ $330.82 / mo
Pure cloud resources
ROUTE
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL (INFRA + OPS, EXCL. AI USAGE)
TIME TO LAUNCH
CUSTOMIZATION
Traditional outsourcing / build in-house
about $120,000 - $160,000
≈ $331
Based on the AWS estimate above
≈ $2,331
Infra $331 + ops ~$2,000
4-6 months
5 / 5
Vibe Coding
about $18,000 - $24,000
≈ $331
Based on the AWS estimate above
≈ $1,831
Infra $331 + ops ~$1,500
hours
5 / 5
AI full-stack generation
about $8,000 - $11,000
≈ $331
Based on the AWS estimate above
≈ $1,831
Infra $331 + ops ~$1,500
hours
3 / 5
Off-the-shelf SaaS / vertical solution
$0
N/A
Priced per seat, not by cloud infra
≈ $16,000+
Per-seat pricing, tens of thousands of users
days
1 / 5
Momen
Recommended
$0
$114
All-in: egress / storage / auto-scaling; excludes AI usage
$114
hours
5 / 5
Infrastructure cost is unavoidable
Servers, databases, traffic and storage are inherent infrastructure costs for this project — you pay them whether you outsource, use Cursor or Lovable, or build it yourself (self-built runs ≈ $330.82/mo at AWS list prices, often more), on top of the dev and ops staff you'd need to hire. Momen bundles all of it into $0/mo all-in and removes the need for an ops team.
Vibe-coding speed + a production-grade backend
The frontend can be generated with AI tools (Cursor, Lovable, etc.); the hard part is the backend — auth, database, scaling, data security and ops. Momen delivers a production-grade backend as a BaaS: keep the vibe-coding speed on the frontend, while the backend runs on proven infrastructure — reliable, with no self-hosting or ops.

SCALE & SIZING

What scale this estimate assumes, and how the numbers are derived

Cost depends heavily on usage volume. First see the key assumptions and business scenarios this estimate uses, then the full calculation derived from each scenario for every resource — all adjustable to your real situation

100000
Total users
We assume the stated 1,000 users per day is a daily throughput signal for distinct shoppers and that a retail customer may return and place more than one order over time, which is typical for e-commerce. Across the 225-day effective growth window, this supports a registered customer pool on the order of one hundred thousand rather than treating every daily visit as a permanently new account; a small administrator pool is included separately. If your actual business operations differ, for example if 1,000 refers to page visits or mostly anonymous traffic, this parameter can be adjusted downward.
225
Data retention period
We assume a standard linear-growth e-commerce launch because no full pre-existing dataset or sudden late growth burst is stated, which is typical for an independently built retail application. The equivalent accumulation period is therefore 225 days. If your actual business operations differ, for example if the store launches with a mature catalog and customer history, this parameter can be adjusted accordingly.
Core business scenarios
Daily Catalog Browsing
Daily Catalog Browsing
Daily Catalog Browsing
Daily Catalog Browsing
30
times/month
0.16 req/s
Peak load
We assume public catalog activity is spread across a twelve-hour daytime and evening period because retail browsing is normally a weakly synchronized activity rather than a bell-driven burst. The period occurs every day, so it is represented by 30 monthly occurrences, and anonymous product discovery is kept as its own purpose rather than being combined with cart or checkout activity. If your actual business operations differ, for example if advertising creates a short daily flash-sale rush, the duration and participant concentration can be adjusted accordingly.
Main impact: Peak Concurrency
The scenarios above set the assumptions for each resource; below is the full calculation derived from them. Click to expand each item.
Peak Concurrency
0.16 req/s
Database Storage
212.03 MB
Object Storage
228.41 MB
Outbound data transfer
105.92 GB
AI Points
0 AI Points

DEVELOPMENT SCOPE

How this app works

What exactly does this budget support? Broken down by business scenario, showing the pages, data tables, automation flows and AI assistant behind each one

administrators
admin_order_management
An administrator reviews incoming orders and advances an order's fulfillment status.
page
Catalog Page
data_table
users
administrators
admin_catalog_management
An administrator creates and maintains categories, products, stock, prices, and product imagery.
page
Catalog Page
data_table
users
customers
customer_checkout
A registered customer checks out the cart and later reviews the resulting order.
page
Catalog Page
data_table
users
action_flow
place_order
customers
customer_cart_management
A registered customer reviews a product, adds it to the cart, then reviews and adjusts the cart.
page
Catalog Page
data_table
users
anonymous_visitors
anonymous_catalog_browsing
An anonymous visitor browses products and opens product details without changing stored data.
page
Catalog Page
data_table
users
page
data_table
action_flow
Order Management Page
Administrator queue for reviewing paid and pending orders and advancing fulfillment status.
Catalog Management Page
Administrator workspace for creating and editing categories, products, stock, pricing, and imagery.
Order Detail Page
Shows a selected order's totals, address reference, status, and purchased line items.
My Orders Page
Lists the signed-in customer's order history and payment or fulfillment status.
Checkout Page
Final cart and shipping-address review followed by order placement and payment initiation.
Cart Page
Shows a registered customer's cart and allows quantity changes.
Product Detail Page
Displays a product's description, price, stock availability, and image gallery, with cart entry for customers.
Catalog Page
Public product discovery page with catalog filtering and primary-image previews.

FAQ

What you might want to know about this project

The Q&A below is generated by AI based on this project's type, features and scale

How was the user scale interpreted?
Is online payment included?
Does this estimate include a multi-seller marketplace?
What will drive resource usage most for this Amazon clone?
Made and hosted in the United States. 🇺🇸
Backed By
Sequoia
MiraclePlus
Linear Capital
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