an AI meal planner for home cooks
Estimated monthly cost at the usage scale below — billed by actual usage
1.67 req/s
Peak Concurrency
282.77 MB
Database Storage
0 GB
Object Storage
0 GB
Outbound data transfer
What is this app
AI Meal Planner helps people in the United States who cook at home create personalized three-day meal plans. Users provide body stats, activity level, goals, food preferences, and restrictions, while the app uses AI to organize nine meals and obtains calorie and macro values through real lookups against the USDA food nutrition database. It also creates a gram-based shopping list that consolidates shared ingredients across the plan.
As an anonymous visitor, I can view an introduction to the home meal planner
As a registered cook, I can enter and save my body stats, activity level, goal, food preferences, and restrictions
As a registered cook, I can generate a three-day meal plan with breakfast, lunch, and dinner using my saved inputs
As a registered cook, I can view calorie and macro values for every meal based on USDA nutrition data
As a registered cook, I can view a consolidated shopping list in grams that reuses ingredients across the plan
As a registered cook, I can review previously generated meal plans and their shopping lists
0
anonymous_visitors
People who can publicly browse the planner introduction without an account or access to saved plans.
50000
registered_cooks
People who enter their personal planning inputs, generate meal plans, review nutrition details, and use consolidated shopping lists.
Requirements to minimum viable plan to cost
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
BASIC
USDA integration and multiple meal-planning workflows require at least BASIC.
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
Basic
Basic is the minimum viable plan
Basic
(Plan tier: BASIC)
See minimum viable plan above
39
single-tenant kit
2 req/s
not purchased
(plan/kit 5 req/s)
Covered by plan/kit (margin ~150%)
0
Database storage add-on
877.35 MB
10GB × 1/year, amortized monthly
(plan/kit 200.00 MB + add-on +677.35 MB)
Add-on fills +677.35 MB gap beyond plan/kit
8.33
Object storage
add-on
0 B
not purchased
(plan/kit 2.00 GB)
No requirement
0
Outbound data transfer add-on
0 B/mo
not purchased
(plan/kit 2.00 GB/mo)
No requirement
0
AI points add-on
83.0M points
6,000,000 AI Points × 14/month
(plan/kit 85.0M points + add-on +82.0M points)
Add-on fills +82.0M points gap beyond plan/kit
140
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.
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
0.00 GB-month
S3 Standard → 0
0.00 GB (first 100GB free)
Internet egress → 0
Total ≈ $330.29 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / build in-house
about $90,000 - $150,000
≈ $330
Based on the AWS estimate above
≈ $2,330
Infra $330 + ops ~$2,000
4-6 months
5 / 5
Vibe Coding
about $12,000 - $22,000
≈ $330
Based on the AWS estimate above
≈ $1,830
Infra $330 + ops ~$1,500
hours
5 / 5
AI full-stack generation
about $5,000 - $9,000
≈ $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
$47
All-in: egress / storage / auto-scaling; excludes AI usage
$47
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 ≈ $441/mo at AWS list prices, often more), plus the extra dev and ops staff. Momen bundles all of it into $368/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 50000 registered accounts because the description gives no explicit user count or directly implied customer scale. This is the standard planning assumption for a consumer SaaS product and can be adjusted when actual registration projections are available.
We assume this is a standard linear-growth consumer SaaS product because usage should build as more home cooks register and generate plans over time. If the product launches with a large pre-existing user base or experiences a short, intense burst followed by a plateau, this parameter can be adjusted.
Public Discovery Browsing
Daily Meal Planning Window
Daily Meal Planning Window
30
times/month
1.67 req/s
Peak load
We assume public discovery happens as a broad daytime and evening browsing period rather than as a synchronized event. It is separated from authenticated planning because anonymous visitors only load the introductory page and do not participate in profile or meal-plan operations. A two-hour occurrence represents a normal period in which visitors arrive gradually, and the scenario occurs daily because the public landing page remains available every day.
Main impact: Peak Concurrency
The scenarios above set the assumptions for each resource; below is the full calculation based on those assumptions. 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.
Public browsing flow for learning what the meal planner does.
Primary setup and meal-plan generation flow for a registered home cook.
Review flow for reading the current meals and purchasing quantities.
Historical review flow for previously generated meal plans.
page
data_table
ai_agent
action_flow
Landing Page
Public introduction page for visitors who want to understand the home meal-planning service.
Profile Setup Page
Authenticated form for entering and confirming the inputs used to create a meal plan.
Meal Plan Page
Authenticated page for generating, reviewing, and shopping from a three-day meal plan.
Plan History Page
Authenticated history page for revisiting previously generated plans.
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.
Who is the meal planner for?
Are the nutrition numbers AI-generated?
How does the shopping list reduce unused ingredients?
What affects resource usage?
Copy to discuss with AI
Challenge & re-estimate