a food delivery app for a busy college town ecosystem
Estimated monthly cost at the usage scale below — billed by actual usage
1.83 req/s
Peak Concurrency
528.06 MB
Database Storage
3.6 GB
Object Storage
865.46 GB
Monthly Outbound Traffic
What is this app
A localized food delivery platform designed for university environments. Students can browse local restaurant menus, place orders with integrated payments, and track deliveries in real-time. The system provides restaurants with order management tools and couriers with a streamlined delivery task interface, all overseen by a central administrative console.
As a student, I want to browse restaurants so that I can see what food is available.
As a student, I want to view a menu so that I can select specific items to order.
As a student, I want to place an order and pay so that my food can be delivered.
As a courier, I want to see available delivery tasks so that I can earn money.
As a restaurant manager, I want to manage my menu items so that customers see current offerings.
As a student, I want to ask support about my order status to resolve issues quickly.
15000
students
Students and visitors who browse food options.
500
merchants
Restaurant owners and staff managing menus and orders.
300
couriers
Delivery personnel fulfilling orders.
20
admins
Platform administrators for management and support.
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
PRO
The requirement for a reservation system involves complex workflows, payment processing for bookings, and distinct interfaces for users and administrators, which necessitates the PRO plan.
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
PRO
Pro
(Plan tier: PRO)
99
0 req/s
not purchased
(plan/kit 25 req/s)
No requirement
0
Database storage add-on
37.22 MB
not purchased
(plan/kit 1.00 GB)
Covered by plan/kit (margin ~2587%)
0
Object storage
add-on
3.87 GB
not purchased
(plan/kit 10.00 GB)
Covered by plan/kit (margin ~159%)
0
Outbound data transfer add-on
0 B/mo
not purchased
(plan/kit 10.00 GB/mo)
No requirement
0
AI points add-on
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.
2 × t4g.large × 730h
EC2 t4g.large → 98.11
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
0.55 GB-month
RDS gp3 storage → 0.06
3.87 GB-month
S3 Standard → 0.09
765.46 GB (first 100GB free)
Internet egress → 68.89
Total ≈ $399.3 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / self-built
≈ $399
Per AWS usage sizing above
≈ $2399
Infra $399 + ops ~$2,000
4-6 months
5 / 5
AI coding (Cursor, etc.)
≈ $399
Per AWS usage sizing above
≈ $1899
Infra $399 + ops ~$1,500
3-6 weeks
5 / 5
AI full-stack generators (Lovable/Bolt/v0)
≈ $399
Per AWS usage sizing above
≈ $1899
Infra $399 + ops ~$1,500
hours
3 / 5
Off-the-shelf SaaS / vertical solution
N/A
≈ $16,000+
Per-seat pricing, tens of thousands of users
days
1 / 5
Momen
Recommended
$99
All-in: egress / storage / auto-scaling included
$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 ≈ $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.
Based on a typical college town with 15,000 students, we estimate 15,000 student users, 500 restaurant personnel, 300 couriers, and 20 admins. We also include a buffer of 5,000 anonymous visitors (prospective students or guests).
This is a standard linear-growth SaaS product for a college town. We assume a steady ramp-up of student and restaurant participation over the academic year, so the equivalent continuous running days is set to 225.
Mealtime Peak Hours
Off-Peak Routine Use
30
times/month
3.37 MB/use
Outbound / use
This scene represents the high-concurrency windows for lunch (11:30-13:00) and dinner (18:00-19:30). Each occurrence is 90 minutes (5,400 seconds), happening twice daily (effectively modeled as 30 days/month with two peaks per day, but here we treat it as the primary daily high-load event). This is a weak assembly scene where users arrive independently but concentrated within a fixed period. We decompose it into student ordering and courier task management as these are parallel behaviors.
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.
The core path for a student to find food and complete a purchase.
The operational flow for a courier to find and fulfill delivery tasks.
Students checking their order status and asking for help.
page
data_table
ai_agent
action_flow
Home Page
Displaying available restaurants and search filters.
Restaurant Detail Page
Showing the menu of a selected restaurant.
Checkout Page
Reviewing items and confirming payment.
Order History Page
Listing past orders and tracking active ones.
Courier Task List
Marketplace for couriers to pick up work.
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 does the system ensure order consistency during peak hours?
Can restaurants manage their own menus?
Copy to discuss with AI
Challenge & re-estimate