a landing-page conversion audit tool for creators
What this app does
This product lets users upload a landing page screenshot and state a goal, such as getting signups. An AI-powered evaluator analyzes the screenshot and returns scores and reasoning about the value proposition, call to action, and trust signals, with the results emailed to the user. The service uses a free first audit followed by credit-based access, with Stripe handling payment, subscriptions, and refunds.
As a visitor, I can view what the landing-page audit evaluates and start the free first audit
As an account holder, I can upload a landing page screenshot and state the conversion goal for an audit
As an account holder, I can receive AI-powered scores and reasoning about the value proposition, CTA, and trust signals
As an account holder, I can purchase audit credits through Stripe
As an account holder, I can start or cancel a paid subscription through Stripe
As an account holder, I can request a refund for an eligible payment through Stripe
1000
anonymous_visitors
People who visit the public landing page before creating or using a registered account.
3000
account_holders
Registered creators and marketers who submit landing-page screenshots, receive evaluations, and manage credits or subscriptions.
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
Stripe payments and subscriptions required
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
PRO
x 1
Pro is the minimum viable plan
Pro
(Plan tier: PRO)
See minimum viable plan above
$ 99
single-tenant kit
x 0
1 req/s
not purchased
(plan/kit 25 req/s)
Covered by plan/kit (margin ~2400%)
$ 0
Database storage add-on
x 0
23.27 MB
not purchased
(plan/kit 1.00 GB)
Covered by plan/kit (margin ~4198%)
$ 0
Object storage
add-on
x 0
0 B
not purchased
(plan/kit 10.00 GB)
No requirement
$ 0
Outbound data transfer add-on
x 0
0 B/mo
not purchased
(plan/kit 10.00 GB/mo)
No requirement
$ 0
AI points add-on
x 0
0 points
not purchased
(plan/kit 5.0M points)
No requirement
$ 0
plan + add-ons · usage-based · no development cost
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 $99/mo all-in above.
Current usage sizing
AWS list pricing
2 × t4g.large × 730h
EC2 t4g.large → 98.11
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
0.02 GB-month
RDS gp3 storage → 0
0.00 GB-month
S3 Standard → 0
0.00 GB (first 100GB free)
Internet egress → 0
Total ≈ $330.25 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL (INFRA + OPS, EXCL. AI USAGE)
Traditional outsourcing / build in-house
about $55,000 - $85,000
≈ $330
Based on the AWS estimate above
≈ $2,330
Infra $330 + ops ~$2,000
4-6 months
5 / 5
Vibe Coding
about $6,000 - $12,000
≈ $330
Based on the AWS estimate above
≈ $1,830
Infra $330 + ops ~$1,500
hours
5 / 5
AI full-stack generation
about $3,000 - $7,000
≈ $330
Based on the AWS estimate above
≈ $1,830
Infra $330 + 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
$99
All-in: egress / storage / auto-scaling; excludes AI usage
$99
hours
5 / 5
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 ≈ $330.25/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.
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.
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
We assume approximately 3,000 registered accounts because the stated throughput of about 40 daily active users submitting one audit per visit indicates a small but recurring creator-tool audience over a recent-burst operating window, with repeat audit use reducing the distinct-customer count below the raw audit volume. If the product has materially different retention, acquisition, or account-registration behavior, this parameter can be adjusted accordingly.
We assume 90 equivalent operating days because a solo-creator launch is a recent-burst product that is still building its audience, while the stated daily usage reflects an early launch pattern rather than a mature linear-growth SaaS product. If the service has already operated at a stable level for most of the past year, this parameter can be adjusted upward.
Public Landing Page Browsing
Public Landing Page Browsing
30
times/month
0.01 req/s
Peak load
We assume anonymous visitors arrive throughout the day to review the public explanation and decide whether to begin the free-first-audit journey. This is a weakly assembled routine scenario rather than a synchronized event, so the duration represents a broad daytime browsing window. The purpose contains only public page viewing because the declared frontend action is read-only and no stored submission action is available in the declared view definitions. A daily occurrence reflects ordinary public traffic across the month.
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.
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
A visitor reviews the public landing page and begins the free-first-audit journey.
Landing Page
An account holder uploads one landing-page screenshot, states the desired conversion goal, and submits it for AI evaluation and email delivery.
accounts
landing_page_auditor
run_audit_evaluation
An account holder opens billing, starts Stripe checkout, and confirms a credit purchase.
accounts
run_audit_evaluation
An account holder starts or cancels a paid subscription from the billing controls.
accounts
run_audit_evaluation
An account holder reviews billing status and requests an eligible refund.
accounts
run_audit_evaluation
page
data_table
ai_agent
action_flow
Landing Page
Public page explaining the landing-page audit and allowing visitors to begin the free first audit.
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 is the main usage driver for this product?
Does every audit require AI processing?
What affects storage usage?
What affects outbound data transfer?
How does the free-first-audit-then-credits model affect backend behavior?
Copy to discuss with AI
Challenge & re-estimate
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The latest news, cases, and resources
The latest news, cases, and resources
