Using
full-stack no-code platform · Momen
to build
a membership and booking app for boutique fitness studios
how much does it cost?
~
$110.25
/ mo
Estimated monthly cost at the usage scale below — billed by actual usage
21 req/s
Peak Concurrency
496.66 MB
Database Storage
98.88 GB
Object Storage
0 GB
Outbound data transfer
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PROJECT OVERVIEW
What is this app
A comprehensive fitness studio management platform serving members, coaches, and owners. Members can purchase class packs, book sessions, and check in via QR codes; coaches manage their schedules and provide personalized feedback with video demos; and owners access real-time revenue and attendance reports to optimize studio operations across multiple locations.
As a member, I want to purchase class packs so that I can have credits to book sessions.
As a member, I want to book a group fitness class so that I can secure my spot in the session.
As a member, I want to see my QR code for check-in so that I can record my attendance at the studio.
As a coach, I want to view my daily class schedule so that I know when and where I am teaching.
As a coach, I want to upload demo videos and write feedback for members so that they can improve their training.
As an owner, I want to see revenue and attendance reports so that I can analyze business performance.
As an owner, I want to manage studio locations and class schedules so that the app reflects our current offerings.
As a visitor, I want to browse the class schedule so that I can see what sessions are available before joining.
8000
member
Registered studio members who book and attend classes.
45
coach
Fitness instructors who manage classes and feedback.
5
owner
Studio owners and administrators overseeing business operations.
0
visitor
Prospective members browsing class schedules anonymously.
COST BREAKDOWN
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 project requires processing online payments for class packs and memberships, which is a PRO tier feature.
See the capability-by-capability assessment ▾
ITEM_NAME
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
COVERAGE
AMOUNT
PRO
Pro is the minimum viable plan
Pro
(Plan tier: PRO)
See minimum viable plan above
99
22 req/s
not purchased
(plan/kit 25 req/s)
Covered by plan/kit (margin ~14%)
0
Database storage add-on
1.18 GB
10GB × 1/year, amortized monthly
(plan/kit 1.00 GB + add-on +183.76 MB)
Add-on fills +183.76 MB gap beyond plan/kit
8.33
Object storage add-on
106.17 GB
100GB × 1/year, amortized monthly
(plan/kit 10.00 GB + add-on +96.17 GB)
Add-on fills +96.17 GB gap beyond plan/kit
2.92
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
Monthly total
plan + add-ons · usage-based · no development cost
$110.25
/ mo
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.
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
0.52 GB-month
RDS gp3 storage → 0.06
106.17 GB-month
S3 Standard → 2.44
0.00 GB (first 100GB free)
Internet egress → 0
Total ≈ $332.75 / mo
Pure cloud resources
ROUTE
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL (INFRA + OPS)
TIME TO LAUNCH
CUSTOMIZATION
Traditional outsourcing / build in-house
about $50,000 - $90,000+
≈ $333
Based on the AWS estimate above
≈ $2,333
Infra $333 + ops ~$2,000
4-6 months
5 / 5
Vibe Coding
about $8,000 - $15,000
≈ $333
Based on the AWS estimate above
≈ $1,833
Infra $333 + ops ~$1,500
4-8 weeks
4 / 5
AI full-stack generation
about $3,000 - $7,000
≈ $333
Based on the AWS estimate above
≈ $1,833
Infra $333 + ops ~$1,500
2-4 weeks
3 / 5
Off-the-shelf SaaS / vertical solution
about $1,000 - $3,000+
N/A
Priced per seat, not by cloud infra
≈ $16,000+
Per-seat pricing, tens of thousands of users
1-3 weeks
2 / 5
Momen
Recommended
$0
$110
All-in: egress / storage / auto-scaling included
$110
2-4 weeks
5 / 5
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 ≈ $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.
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.
10050
Total users
Based on the project description of 8,000 members across 3 studios, we estimate approximately 50 staff members (coaches and owners). Additionally, we account for roughly 2,000 anonymous visitors who may browse the class schedule or studio information before signing up, leading to a total user anchor of 10,050.
225
Data retention period
This is a standard boutique fitness service. We assume it has a stable user base (8,000 members) and a consistent schedule. As a standard operation that grows linearly with its membership base, the equivalent continuous running days is set to 225 to represent a mature but still active product lifecycle.
Core business scenarios
Weekly Schedule Release Rush
Weekly Schedule Release Rush
Daily Studio Routine Activity
4
times/month
21.33 req/s
Peak load
We have identified this as a critical synchronized assembly scenario driven by the studio's schedule release schedule. The 10-minute (600s) duration represents the physical window of intense competition for class spots. Occurrences are set to 4 times per month, assuming a weekly release cycle which is standard for the fitness industry.
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.
Peak Concurrency
21 req/s
Database Storage
496.66 MB
Object Storage
98.88 GB
Outbound data transfer
0 GB
AI Points
0 AI Points
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.
member
member_booking_flow
The standard path for a member looking to attend a class.
page
data_table
action_flow
coach
coach_feedback_flow
The workflow for a coach to review their day and provide member feedback.
page
data_table
owner
owner_analytics_flow
Business health check by the studio owner.
page
data_table
visitor
visitor_browsing_flow
Public browsing behavior for potential members.
page
data_table
page
data_table
action_flow
Class Schedule Page
The main interface for members to find and book classes.
Coach Schedule View
Dashboard for coaches to manage schedules and provide feedback.
Owner Dashboard
Executive dashboard for tracking business performance.
Public Schedule View
Public schedule and studio information for non-registered users.
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.
What drives the highest resource consumption in this app?
How are coach demo videos managed?
Does the booking system handle credit validation automatically?
Copy to discuss with AI
Challenge & re-estimate