a proposal app for small service businesses
PROJECT OVERVIEW
What this app does
This app helps a small service business respond to client enquiries automatically. Potential clients submit a public description of the job, and an AI agent drafts a priced proposal with line items, asks follow-up questions when confidence is low, and redrafts after receiving answers. The owner reviews and approves proposals in a private dashboard, after which clients receive a link to pay a 25% deposit through Stripe.
As a potential client, I want to submit a public description of my job so that the business can prepare a priced proposal
As a potential client, I want to answer follow-up questions so that the AI can revise an uncertain proposal
As a business owner, I want to review and approve AI-generated proposals with line items so that clients can be asked to pay a deposit
As a potential client, I want to pay the approved proposal’s 25% deposit through Stripe
As a business owner, I want to monitor enquiry, proposal, and deposit statuses in a private dashboard
The following user counts are projected totals after one year of growth
1
business_owner
The small service business owner who reviews AI-generated proposals, approves pricing, and monitors enquiry and deposit status.
3299
potential_clients
Prospective and approved clients who submit job descriptions, answer clarification questions, review approved proposals, and pay deposits through a private link.
COST BREAKDOWN
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
PRO
Stripe deposit collection requires payment features available in PRO.
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
AI points add-on
x 0
1.4M points
not purchased
(plan/kit 5.0M points)
Covered by plan/kit (margin ~249%)
$ 0
Outbound data transfer add-on
x 0
0 B/mo
not purchased
(plan/kit 10.00 GB/mo)
No requirement
$ 0
Object storage
add-on
x 0
0 B
not purchased
(plan/kit 10.00 GB)
No requirement
$ 0
Database storage add-on
x 0
76.15 MB
not purchased
(plan/kit 1.00 GB)
Covered by plan/kit (margin ~1213%)
$ 0
single-tenant kit
x 0
1 req/s
not purchased
(plan/kit 25 req/s)
Covered by plan/kit (margin ~2400%)
$ 0
PRO
x 1
Pro is the minimum viable plan
Pro
(Plan tier: PRO)
See minimum viable plan above
$ 99
plan + add-ons · usage-based · no development cost
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. Figures cover infrastructure and operations only — AI usage is billed separately and excluded here, so they don't match the $99/mo all-in above.
Current usage sizing
AWS list pricing
0.00 GB (first 100GB free)
Internet egress → 0
0.00 GB-month
S3 Standard → 0
0.08 GB-month
RDS gp3 storage → 0.01
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
2 × t4g.large × 730h
EC2 t4g.large → 98.11
Total ≈ $330.26 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL (INFRA + OPS, EXCL. AI USAGE)
Traditional outsourcing / build in-house
about $60,000 - $90,000
≈ $330
Based on the AWS estimate above
≈ $2,330
Infra $330 + ops ~$2,000
4-6 months
5 / 5
Vibe Coding
about $12,000 - $18,000
≈ $330
Based on the AWS estimate above
≈ $1,830
Infra $330 + ops ~$1,500
hours
5 / 5
AI full-stack generation
about $5,000 - $8,000
≈ $330
Based on the AWS estimate above
≈ $1,830
Infra $330 + 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
$99
All-in: egress / storage / auto-scaling; excludes AI usage
$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 ≈ $330.26/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 $0/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.
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
We assume the business receives about ten new enquiries per day and that this is a one-off service enquiry pattern rather than a subscription product. Using the standard linear-growth operating window, the distinct client pool is therefore in the low-thousands range, with one additional registered owner account. If many clients return for repeat work or the business adds staff accounts, this parameter can be adjusted.
We assume this is a standard linear-growth service SaaS with a steady stream of new enquiries rather than a launch with a full pre-existing dataset or an early-burst consumer product. A standard operating window is therefore appropriate because enquiries and proposal records accumulate progressively throughout the year. If the business is newly launched or has a large imported enquiry history, this parameter can be adjusted.
Routine Client Operations
Routine Client Operations
Routine Client Operations
30
times/month
0 req/s
Peak load
We assume public enquiries, clarification replies, and deposit-link visits happen throughout ordinary business activity rather than arriving together on a synchronized signal. These are separate purposes because they have different entry points and write outcomes. A full-day window represents the spread of client activity, and a daily frequency reflects the steady enquiry and follow-up rhythm.
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.
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
An approved client opens the payment link and starts the required deposit checkout.
Public Enquiry Page
clients
draft_proposal
The owner reviews a drafted proposal and approves it for deposit payment.
Public Enquiry Page
clients
draft_proposal
A client answers clarification questions so the AI can revise the proposal.
Public Enquiry Page
clients
proposal_drafter
draft_proposal
A potential client submits a new service enquiry for AI proposal preparation.
Public Enquiry Page
clients
proposal_drafter
draft_proposal
page
data_table
ai_agent
action_flow
Client Payment Page
Client-facing payment page for the approved proposal’s 25% deposit.
Proposal Review Page
Owner review screen showing the job details, proposal revisions, line items, and approval control.
Owner Dashboard
Private operational dashboard for monitoring enquiries, proposal states, approvals, and deposits.
Client Follow-up Page
Private client link for answering AI-generated clarification questions and receiving an updated proposal.
Public Enquiry Page
Public form where a potential client describes the job and requests an automatically drafted proposal.
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
Why is a payment integration included?
How does the AI follow-up process work?
Does the system keep proposal and AI revision history?
What will drive resource usage for this proposal app?
Copy to discuss with AI
Challenge & re-estimate
Master Momen with step-by-step guidance
Master Momen with step-by-step guidance
Engage and receive hands-on support
Engage and receive hands-on support
Watch and learn how apps are built in Momen
Watch and learn how apps are built in Momen
The latest news, cases, and resources
The latest news, cases, and resources
