Using
Momen · full-stack no-code platform
to build
a test utility for registered users
PROJECT OVERVIEW
What this app does
This product is a compact test utility that presents test instructions, lets registered users create test records, and allows them to review their own results. It serves people who need a simple place to run or record tests without additional specialized workflows.
As an anonymous visitor, I can view the test utility instructions
As a registered user, I can create a test record and save its result
As a registered user, I can review my own test records
The following user counts are projected totals after one year of growth
1000
registered_users
People with accounts who create test records and review their own stored results.
1000
anonymous_visitors
Visitors who can open the public utility and read its test instructions without creating 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
Ongoing public access requires at least BASIC.
See the capability-by-capability assessment ▾
ALLOWANCE PROVIDED (COMPOSITION)
not purchased
(plan/kit 1.0M points)
Outbound data transfer add-on
x 0
not purchased
(plan/kit 2.00 GB/mo)
not purchased
(plan/kit 2.00 GB)
Database storage add-on
x 0
not purchased
(plan/kit 200.00 MB)
Covered by plan/kit (margin ~549%)
not purchased
(plan/kit 5 req/s)
Covered by plan/kit (margin ~400%)
Basic is the minimum viable plan
See minimum viable plan above
Monthly total
plan + add-ons · usage-based · no development cost
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 $39/mo all-in above.
0.00 GB (first 100GB free)
Internet egress → 0
0.00 GB-month
S3 Standard → 0
0.03 GB-month
RDS gp3 storage → 0
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
2 × t4g.large × 730h
EC2 t4g.large → 98.11
Total ≈ $330.26 / mo
Pure cloud resources
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL (INFRA + OPS, EXCL. AI USAGE)
Traditional outsourcing / build in-house
≈ $330
Based on the AWS estimate above
≈ $2,330
Infra $330 + ops ~$2,000
≈ $330
Based on the AWS estimate above
≈ $1,830
Infra $330 + ops ~$1,500
≈ $330
Based on the AWS estimate above
≈ $1,830
Infra $330 + ops ~$1,500
Off-the-shelf SaaS / vertical solution
N/A
Priced per seat, not by cloud infra
≈ $16,000+
Per-seat pricing, tens of thousands of users
$39
All-in: egress / storage / auto-scaling; excludes AI usage
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 ≈ $330.26/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
1000
Total users
We assume this is a general small tool because the input contains no explicit user figure and no throughput signal. The category anchor for a small utility is used as the registered-account baseline, while anonymous visitors are modeled separately; if the test process has a stated audience or transaction volume, this value can be adjusted.
225
Data retention period
We assume this is a standard small utility with gradual adoption because the input only identifies a test product and does not describe a launch with a full pre-existing dataset or a recent burst. If the product launches with a full pre-existing dataset or experiences a sharp early surge, this parameter can be adjusted accordingly.
We assume the utility is used during a broad daily period without a bell, deadline, or other external signal that would synchronize users. The scenario therefore represents routine activity across an eight-hour window, with separate purposes for anonymous instruction viewing, registered record creation, and personal-history review so incidental reads are not combined with the core action. Daily operation supports 30 occurrences per month. If usage is concentrated around a test event or deadline, a separate narrower scenario would be appropriate.
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
0.02 req/s
Outbound data transfer
0 GB
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
run_and_review_test
A registered user reads the instructions, creates a test record, and reviews personal test history.
browse_test_utility
An anonymous visitor opens the utility and reads the available test instructions.
My Test Records Page
Personal history page showing a registered user's saved test records.
Test Utility Page
Public utility page showing test instructions and allowing a registered user to save a completed test record.
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
What could materially change resource usage?
How is the user scale determined?
What functionality is included in this estimate?
Made and hosted in the United States. 🇺🇸
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