an AI landing-page audit tool for creators
What this app does
This tool evaluates a landing page screenshot against a stated conversion goal, such as getting signups. An AI agent analyzes the screenshot and returns scores and reasoning for the value proposition, call to action, and trust signals, then emails the results to the user through Resend. The product uses a free first audit followed by credit-based access and is designed for a solo creator launch.
As an anonymous visitor, I can understand what the landing-page audit tool does and begin creating an account
As a registered user, I can submit a landing page screenshot with a stated conversion goal for an audit
As a registered user, I can view the audit scores and reasoning for the value proposition, CTA, and trust signals
As a registered user, I can receive my audit results by email
As a registered user, I can purchase credits for additional audits
As a registered user, I can manage my subscription and request a refund when applicable
1000
anonymous_visitors
People who visit the public landing page before creating an account.
4500
registered_users
Creators and marketers who submit landing page screenshots, review AI audit results, 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
Payment collection requires PRO
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
2 req/s
not purchased
(plan/kit 25 req/s)
Covered by plan/kit (margin ~1150%)
$ 0
Database storage add-on
x 0
303.31 MB
not purchased
(plan/kit 1.00 GB)
Covered by plan/kit (margin ~230%)
$ 0
Object storage
add-on
x 1
27.00 GB
100GB × 1/year, amortized monthly
(plan/kit 10.00 GB + add-on +17.00 GB)
Add-on fills +17.00 GB gap beyond plan/kit
$ 2.92
Outbound data transfer add-on
x 0
3.38 GB/mo
not purchased
(plan/kit 10.00 GB/mo)
Covered by plan/kit (margin ~196%)
$ 0
AI points add-on
x 3
20.4M points
6,000,000 AI Points × 3/month
(plan/kit 23.0M points + add-on +15.4M points)
Add-on fills +15.4M points gap beyond plan/kit
$ 30
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 $131.92/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
0.30 GB-month
RDS gp3 storage → 0.03
27.00 GB-month
S3 Standard → 0.62
0.00 GB (first 100GB free)
Internet egress → 0
Total ≈ $330.91 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL (INFRA + OPS, EXCL. AI USAGE)
Traditional outsourcing / build in-house
about $45,000 - $75,000
≈ $331
Based on the AWS estimate above
≈ $2,331
Infra $331 + ops ~$2,000
4-6 months
5 / 5
Vibe Coding
about $8,000 - $14,000
≈ $331
Based on the AWS estimate above
≈ $1,831
Infra $331 + ops ~$1,500
hours
5 / 5
AI full-stack generation
about $3,000 - $6,000
≈ $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
$102
All-in: egress / storage / auto-scaling; excludes AI usage
$102
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 ≈ $330.91/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 $30/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 the stated daily audit throughput represents a repeat-use customer base because the product uses credits after the first free audit. A registered pool of roughly 4,500 accounts is appropriate for this early AI-powered utility at the stated usage level, with the assumption that customers submit more than one audit over the accumulation period. If audits are mostly one-time uses or subscriptions become the dominant behavior, this parameter can be adjusted accordingly.
We assume this is a standard linear-growth SaaS product because a solo-creator launch with recurring credit-based use typically builds its audience gradually rather than starting with a full pre-existing dataset or an immediate burst followed by a plateau. The equivalent continuous accumulation period is therefore set to 225 days. If the product experiences a major launch spike or remains in a recent cold-start phase, this parameter can be adjusted accordingly.
Audit Submission Processing Window
Audit Result Review Period
Public Landing and Signup Period
Audit Result Review Period
Audit Result Review Period
30
times/month
1.6 req/s
Peak load
We assume this scenario captures the recurring submission period for registered creators who upload a screenshot and state a conversion goal. Audit submissions are not necessarily synchronized by an external signal, but they create the application's most consequential asynchronous workflow, so they are isolated from routine result viewing and billing behavior. A five-minute window is a practical operational width for a concentrated submission period, and daily recurrence reflects a credit-based product with repeat use. If the product receives campaign-driven bursts, the duration can be narrowed and the participant pool increased.
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
An anonymous visitor reviews the public tool explanation and begins creating an account.
Landing Page
users
A registered user submits one screenshot and goal, then reviews the completed AI audit.
Landing Page
users
landing_page_auditor
run_audit_flow
A registered user reviews billing status and purchases credits or manages subscription and refund options.
Landing Page
run_audit_flow
page
data_table
ai_agent
action_flow
Landing Page
Public page explaining the screenshot audit tool and directing visitors toward account creation or the audit experience.
Audit Page
Authenticated workspace where a user submits a landing page screenshot and stated conversion goal, then views the resulting audit.
Billing Page
Authenticated page for purchasing audit credits, managing a subscription, and requesting a refund.
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 drives resource usage for this tool?
Does the free first audit reduce the need for a billing system?
Are screenshots delivered back to users?
What happens after a user submits an audit?
Copy to discuss with AI
Challenge & re-estimate
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The latest news, cases, and resources
