a home cleaning booking platform for urban residents and service professionals
Estimated monthly cost at the usage scale below — billed by actual usage
0.42 req/s
Peak Concurrency
15.03 MB
Database Storage
58.59 MB
Object Storage
111.58 GB
Monthly Outbound Traffic
What is this app
This mobile application streamlines the process of finding and hiring professional home cleaners. It allows customers to browse cleaner profiles, schedule appointments, and securely pay for services online, while providing cleaners with a dedicated interface to manage their schedules. After each service, customers can provide ratings and feedback to ensure high service standards across the platform.
As a customer, I can browse available cleaning service types and cleaner profiles.
As a customer, I can book a cleaning appointment by selecting a cleaner, date, and time.
As a customer, I can pay for my cleaning booking online through a secure gateway.
As a cleaner, I can view my personal schedule of upcoming cleaning jobs.
As a cleaner, I can mark a cleaning job as completed once finished.
As a customer, I can rate and leave a review for a completed cleaning service.
As an admin, I can manage the list of service types and cleaner accounts.
anonymous_visitors
Public visitors browsing available cleaning services and cleaner profiles without logging in.
customers
Registered residents who book and pay for cleaning services.
cleaners
Professional cleaners who manage their work schedule and job completion.
admins
Staff managing services, rates, and platform operations.
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
FREE
Since no specific project type, description, or user stories were provided in the database, the project defaults to the FREE plan. This is the minimum tier for validating initial ideas or building simple, single-purpose prototypes that do not yet require custom domains, payments, or permanent public access.
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
FREE
Free
()
0
not purchased
()
0
Database storage add-on
10GB × 1/year, amortized monthly
()
8.33
Object storage
add-on
not purchased
()
0
Outbound data transfer add-on
500GB × 3/year, amortized monthly
()
8.75
AI points add-on
not purchased
()
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
0.02 GB-month
RDS gp3 storage → 0
0.06 GB-month
S3 Standard → 0
11.58 GB (first 100GB free)
Internet egress → 1.04
Total ≈ $331.3 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / self-built
≈ $331
Per AWS usage sizing above
≈ $2331
Infra $331 + ops ~$2,000
4-6 months
5 / 5
AI coding (Cursor, etc.)
≈ $331
Per AWS usage sizing above
≈ $1831
Infra $331 + ops ~$1,500
3-6 weeks
5 / 5
AI full-stack generators (Lovable/Bolt/v0)
≈ $331
Per AWS usage sizing above
≈ $1831
Infra $331 + 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
$17
All-in: egress / storage / auto-scaling included
$17
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 estimate a target market of 5,000 active residential customers in a metropolitan area, supported by a workforce of 200 vetted cleaners and 10 administrative staff to manage operations and support.
As a standard local service SaaS, we assume a linear growth pattern over the first year as more customers and cleaners join the platform. 225 days is chosen as the effective value to represent the accumulated data from a steady build-up.
Morning Operational Peak
Evening Customer Activity Peak
Daytime Discovery Routine
30
times/month
The morning period (7:00 AM to 9:00 AM, 7200 seconds) is the critical coordination window for service professionals. It occurs daily (30 times per month). This scene focuses on the supply-side (cleaners) preparing for their workday.
Main impact:
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 primary path for a customer to discover, select, and pay for a cleaning service.
The operational path for cleaners to manage their daily assignments.
The feedback path for customers to rate their experience after a job is done.
page
data_table
action_flow
Service Discovery Page
The main landing page for customers to browse services and cleaners.
Booking and Payment Page
The checkout and booking confirmation screen.
Cleaner Schedule Page
Management interface for cleaners to view and update their jobs.
Booking History and Reviews Page
Page where customers can view history and rate services.
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 factors most influence the system's resource consumption?
Can cleaners manage their own schedules within the app?
How does the app handle high-quality cleaner profile pictures?
Copy to discuss with AI
Challenge & re-estimate