an interior design marketplace for homeowners
What this app does
An interior design marketplace app for homeowners and designers. Homeowners upload room photos and a text description for AI-powered analysis of existing furniture and improvement suggestions, then generate a photorealistic redesign preview. The app also provides a text-based support chatbot for order questions, while designers manage projects, quotes, and bookings.
As an anonymous visitor, I can browse available interior design projects
As a designer, I can view and update bookings for my projects
As a homeowner, I can upload photos of a room and provide a text description for AI analysis
As a homeowner, I can view detected furniture and suggested room improvements
As a homeowner, I can generate and preview a photorealistic redesigned room image
As a homeowner, I can ask the support chatbot questions about my orders
As a homeowner, I can view available design projects and request a booking
As a homeowner, I can view quotes and booking status for my design projects
As a designer, I can create and manage interior design projects
As a designer, I can create and manage quotes for a homeowner project
1000
anonymous_visitors
Unregistered visitors who browse publicly available interior design projects.
40000
homeowners
Registered homeowners who submit rooms, use AI design features, ask order questions, and request bookings.
10000
designers
Registered interior designers who manage projects, prepare quotes, and manage bookings.
How your requirements become a plan and a price
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
Multiple AI features and public marketplace access
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
Basic
x 1
Basic is the minimum viable plan
Basic
(Plan tier: BASIC)
See minimum viable plan above
¥ 39
single-tenant kit
x 0
1 req/s
not purchased
(plan/kit 5 req/s)
Covered by plan/kit (margin ~400%)
¥ 0
Database storage add-on
x 1
507.08 MB
10GB × 1/year, amortized monthly
(plan/kit 200.00 MB + add-on +307.08 MB)
Add-on fills +307.08 MB gap beyond plan/kit
¥ 8.33
Object storage
add-on
x 1
28.84 GB
100GB × 1/year, amortized monthly
(plan/kit 2.00 GB + add-on +26.84 GB)
Add-on fills +26.84 GB gap beyond plan/kit
¥ 2.92
Outbound data transfer add-on
x 1
21.06 GB/mo
500GB × 1/year, amortized monthly
(plan/kit 2.00 GB/mo + add-on +19.06 GB/mo)
Add-on fills +19.06 GB/mo gap beyond plan/kit
¥ 2.92
AI points add-on
x 50
297.8M points
6,000,000 AI Points × 50/month
(plan/kit 301.0M points + add-on +296.8M points)
Add-on fills +296.8M points gap beyond plan/kit
¥ 500
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. Figures cover infrastructure and operations only — AI usage is billed separately and excluded here, so they don't match the $553.17/mo all-in above.
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
0.51 GB-month
RDS gp3 storage → 0.06
28.84 GB-month
S3 Standard → 0.66
0.00 GB (first 100GB free)
Internet egress → 0
Total ≈ $330.97 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL (INFRA + OPS, EXCL. AI USAGE)
Traditional outsourcing / build in-house
about $110,000 - $160,000
≈ $331
Based on the AWS estimate above
≈ $2,331
Infra $331 + ops ~$2,000
4-6 months
5 / 5
Vibe Coding
about $14,000 - $22,000
≈ $331
Based on the AWS estimate above
≈ $1,831
Infra $331 + ops ~$1,500
hours
5 / 5
AI full-stack generation
about $6,000 - $10,000
≈ $331
Based on the AWS estimate above
≈ $1,831
Infra $331 + 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
$53
All-in: egress / storage / auto-scaling; excludes AI usage
$53
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 ≈ $330.97/mo at AWS list prices, often more), on top of the dev and ops staff you'd need to hire. Momen bundles all of it into $500/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 no explicit user scale was given. This standard planning assumption can be adjusted when the expected homeowner and designer registration pools are known.
We assume this is a standard linear-growth marketplace because users, room analyses, previews, projects, quotes, and bookings accumulate as adoption grows rather than arriving as a full pre-existing dataset. If the business launches with a full pre-existing portfolio or experiences an early burst followed by a stable plateau, this parameter can be adjusted accordingly.
Room Analysis Submission Peak
Marketplace Browsing Period
Marketplace Browsing Period
Room Analysis Submission Peak
AI Preview and Support Routine
30
times/month
0.8 req/s
Peak load
We assume room submissions cluster during a short evening planning period when homeowners are actively working on their interiors, but there is no external bell forcing every participant to start at exactly the same instant. We therefore use a fifteen-minute active window and a daily occurrence frequency. The purposes are separated into loading prior analysis and submitting a new room because reading existing results and initiating AI processing are different behaviors. If marketing campaigns create a synchronized submission event, the duration can be reduced further.
Main impact: Peak Concurrency
The scenarios above set the assumptions for each resource; below is the full calculation derived from them. 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
Anonymous or signed-in browsing of available interior design projects.
Marketplace Projects Page
users
Homeowner submits a room, reviews AI findings, and requests a visual redesign preview.
Marketplace Projects Page
users
room_analyzer
analyze_room_flow
Homeowner reviews a support conversation and sends an order question to the chatbot.
Marketplace Projects Page
users
room_analyzer
analyze_room_flow
Homeowner browses projects, reviews quotes and bookings, and requests a design booking.
Marketplace Projects Page
users
Designer creates projects, prepares quotes, and updates booking status.
Marketplace Projects Page
users
page
data_table
ai_agent
action_flow
Marketplace Projects Page
Public page for browsing interior design projects available from designers.
Room Analysis Page
Homeowner workspace for submitting room photos, viewing AI findings, and generating a redesigned room preview.
Order Support Page
Homeowner text chat page for asking questions about an order.
Designer Project Management Page
Designer workspace for creating and managing interior design projects.
Quotes and Bookings Page
Shared management page for designer quotes and homeowner booking status.
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 primarily drives resource usage for this marketplace?
Why are room photos stored separately from the room record?
Does the support chatbot retain conversation history?
What would change the estimate most?
Copy to discuss with AI
Challenge & re-estimate
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The latest news, cases, and resources
The latest news, cases, and resources
