a boutique fitness membership app
Estimated monthly cost at the usage scale below — billed by actual usage
13 req/s
Peak Concurrency
259.51 MB
Database Storage
18.05 GB
Object Storage
260.08 GB
Outbound data transfer
What is this app
This membership app serves members of a small chain of three boutique fitness studios. Members can buy class packs or monthly passes online, book group classes, and check in with a QR code. Coaches can view their schedules, write training feedback, and upload short demonstration videos, while the owner can review revenue and attendance rates in an admin dashboard.
As a member, I want to buy a class pack or monthly pass online so that I can access studio classes.
As a member, I want to browse available group classes and book a place so that I can attend a session.
As a member, I want to check in by QR code so that my attendance is recorded at the studio.
As a coach, I want to view my own schedule and class attendance so that I can prepare for sessions.
As a coach, I want to write training feedback for members and upload short demo videos so that members can review their training guidance.
As an owner, I want to view revenue reports and attendance rates so that I can monitor performance across the studios.
As an anonymous visitor, I want to browse public studio and class information so that I can understand what the studios offer before registering.
8000
members
Registered fitness studio members who buy passes, book classes, check in by QR code, and review feedback or demonstration videos.
80
coaches
Coaches who view their own schedules, review attendance, write member training feedback, and upload short demonstration videos.
5
owners
The business owner or authorized studio operators who review revenue and attendance reports across the studios.
0
anonymous_visitors
Unregistered visitors who may browse public studio and class information but cannot purchase, book, or check in.
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
Online class-pack and monthly-pass payments require PRO.
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
PRO
Pro is the minimum viable plan
Pro
(Plan tier: PRO)
See minimum viable plan above
99
13 req/s
not purchased
(plan/kit 25 req/s)
Covered by plan/kit (margin ~92%)
0
Database storage add-on
1.59 GB
10GB × 1/year, amortized monthly
(plan/kit 1.00 GB + add-on +587.78 MB)
Add-on fills +587.78 MB gap beyond plan/kit
8.33
Object storage
add-on
19.38 GB
100GB × 1/year, amortized monthly
(plan/kit 10.00 GB + add-on +9.38 GB)
Add-on fills +9.38 GB gap beyond plan/kit
2.92
Outbound data transfer add-on
279.26 GB/mo
500GB × 7/year, amortized monthly
(plan/kit 10.00 GB/mo + add-on +269.26 GB/mo)
Add-on fills +269.26 GB/mo gap beyond plan/kit
20.42
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
0.27 GB-month
RDS gp3 storage → 0.03
19.38 GB-month
S3 Standard → 0.45
160.08 GB (first 100GB free)
Internet egress → 14.41
Total ≈ $345.14 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / build in-house
about $140,000 - $240,000
≈ $345
Based on the AWS estimate above
≈ $2,345
Infra $345 + ops ~$2,000
4-7 months
5 / 5
Vibe Coding
about $35,000 - $70,000
≈ $345
Based on the AWS estimate above
≈ $1,845
Infra $345 + ops ~$1,500
2-4 months
3 / 5
AI full-stack generation
about $55,000 - $105,000
≈ $345
Based on the AWS estimate above
≈ $1,845
Infra $345 + ops ~$1,500
1-3 months
4 / 5
Off-the-shelf SaaS / vertical solution
about $12,000 - $30,000
N/A
Priced per seat, not by cloud infra
≈ $16,000+
Per-seat pricing, tens of thousands of users
3-8 weeks
2 / 5
Momen
Recommended
$0
$131
All-in: egress / storage / auto-scaling included
$131
2-6 weeks
4 / 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 the stable registered base is approximately 8,000 members, supplemented by a smaller pool of coaches and owners and a modest anonymous browsing audience because the app exposes basic studio and class information. If all browsing requires login or the studios attract substantial public discovery traffic, the anonymous portion can be adjusted.
We assume this is a standard linear-growth membership SaaS product because the registered base and class activity are expected to build over time rather than arrive as a full pre-existing dataset. If the app launches with a full pre-existing dataset or experiences an early burst followed by a stable ceiling, this equivalent period can be adjusted accordingly.
Class Arrival Check-in Peak
Class Booking Period
Class Arrival Check-in Peak
Member Video Viewing
90
times/month
12.67 req/s
Peak load
We assume the strongest synchronization occurs around class start times, when members physically arrive at the studios and complete QR attendance. The 600 participants flatten arrivals across the parallel classes represented by the three studios rather than modeling each class separately. A 180-second duration reflects the narrow arrival window around scheduled starts, and 90 monthly occurrences represent multiple concentrated class-arrival periods across a typical month.
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.
Member reviews current access and purchases a class pack or monthly pass.
Member finds and reserves a group fitness class.
Member checks into a booked class at the studio.
Coach reviews a class and records member training feedback.
Coach uploads and reviews a short class demonstration video.
Member views coach-uploaded demonstration videos.
Owner reviews revenue and attendance performance across studios.
Anonymous visitor reviews publicly visible studio class information.
page
data_table
action_flow
Member Home Page
Member landing area for viewing access status and discovering upcoming group classes.
Pass Purchase Page
Catalog and checkout page for class packs and monthly passes.
Class Detail Page
Detailed class schedule and booking entry point.
QR Check-in Page
Arrival check-in page for recording member attendance by QR code.
Coach Schedule Page
Coach-facing schedule, attendance, and member feedback workspace.
Demo Video Page
Upload and playback area for short coach demonstration videos.
Owner Dashboard
Owner dashboard for revenue and attendance reporting across all studios.
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 will affect resource usage most?
What features are included in this estimate?
Why do demo videos matter for capacity?
How does peak usage differ from total membership?
How is the system structured for reporting?
Copy to discuss with AI
Challenge & re-estimate