a university learning management system
PROJECT OVERVIEW
What this app does
This learning management system serves students, teachers, and academic administrators across five Hong Kong universities. Students can view assignments, submit coursework, and review grades, while teachers can create assignments, review submissions, and provide improvement feedback. University administrators manage courses, student enrollment, and teacher assignment.
As a student, I can view assignments for my enrolled courses and submit my completed work
As a student, I can review my assignment submissions and grades
As a teacher, I can create assignments for a course
As a teacher, I can review student submissions and record grades with improvement feedback
As a university administrator, I can create courses, enroll students, and assign teachers
The following user counts are projected totals after one year of growth
1000
university_admins
University and academic administrators who create courses, enroll students, and assign teachers.
4000
teachers
Teachers who create assignments, review student submissions, and record grades and improvement feedback.
100000
students
University students who view assignments, submit coursework, and review grades and improvement feedback.
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
BASIC
Institutional LMS needs multiple workflows, long-term publishing, and professional university branding, requiring BASIC.
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
AI points add-on
x 0
0 points
not purchased
(plan/kit 1.0M points)
No requirement
$ 0
Outbound data transfer add-on
x 8
434.70 GB/mo
500GB × 8/year, amortized monthly
(plan/kit 102.00 GB/mo + add-on +332.70 GB/mo)
Add-on fills +332.70 GB/mo gap beyond plan/kit
$ 23.33
Object storage
add-on
x 15
1.54 TB
100GB × 15/year, amortized monthly
(plan/kit 102.00 GB + add-on +1.43 TB)
Add-on fills +1.43 TB gap beyond plan/kit
$ 43.75
Database storage add-on
x 0
1.32 GB
not purchased
(plan/kit 4.20 GB)
Covered by plan/kit (margin ~219%)
$ 0
single-tenant kit
x 2
280 req/s
single-tenant kit × 2
(plan/kit 305 req/s)
Covered by plan/kit (margin ~9%)
$ 240
Basic
x 1
Basic is the minimum viable plan
Basic
(Plan tier: BASIC)
See minimum viable plan above
$ 39
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 $346.08/mo all-in above.
Current usage sizing
AWS list pricing
149.56 GB (first 100GB free)
Internet egress → 13.46
1535.63 GB-month
S3 Standard → 35.32
1.32 GB-month
RDS gp3 storage → 0.15
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
6 × t4g.large × 730h
EC2 t4g.large → 294.34
Total ≈ $575.41 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL (INFRA + OPS, EXCL. AI USAGE)
Traditional outsourcing / build in-house
about $180,000 - $220,000
≈ $575
Based on the AWS estimate above
≈ $2,575
Infra $575 + ops ~$2,000
4-6 months
5 / 5
Vibe Coding
about $22,000 - $28,000
≈ $575
Based on the AWS estimate above
≈ $2,075
Infra $575 + ops ~$1,500
hours
5 / 5
AI full-stack generation
about $8,000 - $11,000
≈ $575
Based on the AWS estimate above
≈ $2,075
Infra $575 + 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
$346
All-in: egress / storage / auto-scaling; excludes AI usage
$346
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 ≈ $575.41/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 stated student population is about 100,000 registered student accounts across the five universities, with a smaller institutional staff population added for teaching and administration. We use a planning scale of roughly 5,000 staff accounts because the description says each university has staff but does not provide a count; if the actual staff roster differs, this parameter can be adjusted.
We assume this is a standard institutional SaaS rollout with activity building through academic terms rather than a launch with a full pre-existing dataset. The equivalent operating period is therefore set to the standard linear-growth planning value; if the system imports a complete historical LMS dataset at launch, the value should be adjusted upward.
Assignment Deadline Submission Peak
Assignment Deadline Submission Peak
Routine Student Coursework Activity
Routine Student Coursework Activity
4
times/month
280 req/s
Peak load
We assume deadlines create a distinct submission-heavy scenario, since students may cluster their final uploads more closely than ordinary coursework browsing. No exact due-date schedule is provided, so four monthly occurrences represent several assignment deadlines across the participating institutions without implying a daily synchronized event. A five-minute window captures a meaningful concentrated period while avoiding the unsupported assumption that every student is pulled in by a signal at the same instant. If the universities coordinate deadlines more tightly or stagger them more widely, these scenario parameters can be adjusted.
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
Administrator configures university courses and their student and teacher memberships.
Student Dashboard
users
Teacher creates coursework, reviews submissions, and records grades and improvement feedback.
Student Dashboard
users
Student reviews grades and teacher improvement feedback.
Student Dashboard
users
Student reviews assigned coursework and submits an assignment.
Student Dashboard
users
page
data_table
University Administration Page
University-level administration workspace for courses, enrollment, and teacher assignment.
Grade Submission Page
Teacher form for grading one submission and recording improvement feedback.
Teacher Course Management Page
Teacher workspace for managing courses, creating assignments, and reviewing student submissions.
Student Grades Page
Student view of grades and teacher-provided improvement feedback.
Assignment Detail Page
Assignment instructions, submission history, and submission form for a student.
Student Dashboard
Student landing page showing enrolled courses and current assignments.
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
How do assignment attachments affect the plan?
Which features are included in the current scope?
What will drive resource usage most in this learning management system?
Copy to discuss with AI
Challenge & re-estimate
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