Using
Momen · full-stack no-code platform
to build
a meal-planning app for subscribing households
PROJECT OVERVIEW
What this app does
A paid meal-planning web app for households that saves household size, preferred grocery store, and food allergies. Subscribers describe what they want to eat over the next two weeks, and the app creates a dinner schedule, consolidates it into a shopping list, and looks up real prices at their local supermarket.
As a visitor, I can create an account and begin a paid subscription so that I can use the meal-planning service
As a subscriber, I can save my household size, preferred grocery store, location, and food allergies so that plans reflect my household
As a subscriber, I can describe what I want to eat over the next two weeks so that the app can generate a dinner plan
As a subscriber, I can view the generated dinner schedule and consolidated shopping list with local supermarket prices
As a subscriber, I can review my subscription status and payment history
As a subscriber, I can review my previously generated meal plans
The following user counts are projected totals after one year of growth
100
subscribers
Paying household users who maintain preferences and generate, review, and price meal plans.
1000
anonymous_visitors
Public visitors who can review the subscription entry point and begin creating a paid 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
Paid subscriptions require PRO payment capabilities.
See the capability-by-capability assessment ▾
ALLOWANCE PROVIDED (COMPOSITION)
not purchased
(plan/kit 5.0M points)
Covered by plan/kit (margin ~687%)
Outbound data transfer add-on
x 0
not purchased
(plan/kit 10.00 GB/mo)
not purchased
(plan/kit 10.00 GB)
Database storage add-on
x 0
not purchased
(plan/kit 1.00 GB)
Covered by plan/kit (margin ~3145%)
not purchased
(plan/kit 25 req/s)
Covered by plan/kit (margin ~2400%)
Pro 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 $99/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
$99
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
100
Total users
We assume 100 registered subscribers because the description explicitly states that the service has about 100 users per month, and the explicit figure is the most reliable scale anchor. This treats the figure as the stable monthly subscriber population rather than anonymous traffic. If your actual business operations differ, such as 100 new subscribers joining every month in addition to retained accounts, this parameter can be adjusted accordingly.
225
Data retention period
We assume 225 equivalent days because a consumer subscription web app commonly grows gradually through its first year rather than launching with a full pre-existing dataset. This follows the standard linear-growth SaaS pattern. If your actual business operations differ, such as an established customer base being imported at launch or a recent marketing-driven burst, this parameter can be adjusted accordingly.
Weekly Household Planning
Weekly Household Planning
Weekly Household Planning
We assume household planning is concentrated into a two-hour weekly period because meal selection and grocery preparation commonly occur on weekends or before a regular shopping trip, but individual households are not synchronized to one exact minute. The scenario therefore uses a flat two-hour window and occurs four times per month. Generation, history browsing, and opening an existing plan are separated into distinct purposes because they have different trigger volumes and intended core actions even when they happen during the same planning period. If your actual business operations differ, such as daily meal planning, the duration and frequency 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
0.03 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
review_subscription_status
A subscriber reviews the current subscription state and recorded payment history.
review_previous_plans
A subscriber browses previously generated plans and opens one schedule and shopping list.
generate_and_view_plan
A subscriber enters desired meals, generates a two-week plan, and opens the completed schedule and priced shopping list.
manage_household_preferences
A subscriber reviews and saves household size, preferred grocery store, location, and allergy details.
visitor_subscription_signup
A visitor creates an account and enters the hosted paid-subscription checkout.
Subscription Account Page
Authenticated page showing current subscription state and payment history.
Plan Detail Page
Detailed view of a generated dinner schedule and its locally priced shopping list.
Plan History Page
Authenticated list of the subscriber's previously generated meal plans.
Planner Page
Page where a subscriber enters desired meals and requests a new two-week plan.
Household Preferences Page
Authenticated page for reviewing and updating household planning constraints.
Subscription Page
Public entry page where a visitor creates an account and starts the paid subscription checkout.
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 is the stated 100 users per month interpreted?
Does real supermarket pricing require a separate service?
How is AI usage estimated for each meal plan?
What most affects resource usage for this meal-planning app?
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