a university learning management system
PROJECT OVERVIEW
What this app does
This learning management system serves students, teachers, and administrators across a group of universities. Students can view assignments, upload homework, and check scores or grades, while teachers create assignments, review submissions, and record feedback. University administrators maintain the course offerings that organize this academic work.
As a student, I can view assignments for my enrolled courses
As a student, I can upload homework for an assignment
As a student, I can review my submission scores and grades
As a teacher, I can create an assignment for a course
As a teacher, I can review submitted homework and record scores and feedback
As a university administrator, I can create and maintain course offerings
The following user counts are projected totals after one year of growth
50
university_admins
University or platform administrators who maintain course offerings and the academic structure used by the system.
250
teachers
Teaching staff who create assignments, inspect uploaded homework, and record grades.
2700
students
University students who browse course assignments, upload homework, and review scores and 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 ongoing publishing, branded delivery, and multiple workflows.
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 1
16.61 GB/mo
500GB × 1/year, amortized monthly
(plan/kit 2.00 GB/mo + add-on +14.61 GB/mo)
Add-on fills +14.61 GB/mo gap beyond plan/kit
$ 2.92
Object storage
add-on
x 1
24.55 GB
100GB × 1/year, amortized monthly
(plan/kit 2.00 GB + add-on +22.55 GB)
Add-on fills +22.55 GB gap beyond plan/kit
$ 2.92
Database storage add-on
x 0
34.63 MB
not purchased
(plan/kit 200.00 MB)
Covered by plan/kit (margin ~478%)
$ 0
single-tenant kit
x 0
1 req/s
not purchased
(plan/kit 5 req/s)
Covered by plan/kit (margin ~400%)
$ 0
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 $44.83/mo all-in above.
Current usage sizing
AWS list pricing
0.00 GB (first 100GB free)
Internet egress → 0
24.55 GB-month
S3 Standard → 0.56
0.03 GB-month
RDS gp3 storage → 0
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
2 × t4g.large × 730h
EC2 t4g.large → 98.11
Total ≈ $330.82 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL (INFRA + OPS, EXCL. AI USAGE)
Traditional outsourcing / build in-house
about $140,000 - $190,000
≈ $331
Based on the AWS estimate above
≈ $2,331
Infra $331 + ops ~$2,000
4-6 months
5 / 5
Vibe Coding
about $16,000 - $24,000
≈ $331
Based on the AWS estimate above
≈ $1,831
Infra $331 + ops ~$1,500
hours
5 / 5
AI full-stack generation
about $7,000 - $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
$45
All-in: egress / storage / auto-scaling; excludes AI usage
$45
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 ≈ $330.82/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 an education and paid-knowledge category anchor because the description gives no explicit enrollment figure or assignment throughput. A mature no-code university learning system is therefore modeled at a conservative registered-account scale, partitioned among students, teaching staff, and university administrators. If the system launches with all universities in Hong Kong at full institutional enrollment, this parameter can be adjusted upward.
We assume this is a standard linear-growth education SaaS product because it is a new learning management system rather than a migration from an existing fully loaded academic system. Usage should build as universities, courses, students, and teaching staff are onboarded over time. If the launch includes a full pre-existing dataset, this parameter can be adjusted to the maximum operating window.
Routine Student Assignment Activity
Routine Student Assignment Activity
Routine Student Assignment Activity
Student Grade Review
30
times/month
0.09 req/s
Peak load
We assume student course browsing, assignment review, and homework submission occur throughout ordinary study hours, without a single external signal synchronizing the group. This scenario uses a broad eight-hour daytime window and occurs daily. Browsing and submitting are modeled as separate purposes because many students read assignment information without uploading work during the same visit.
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
Teacher review and grading of existing submissions.
Student Dashboard
users
University administrator course catalog maintenance.
Student Dashboard
users
Teacher assignment publication and grading workflow.
Student Dashboard
users
Student review of homework history and grades.
Student Dashboard
users
Routine student assignment browsing and homework submission.
Student Dashboard
users
page
data_table
University Course Administration Page
Administrative course catalog page for maintaining university course offerings.
Teacher Assignment Management Page
Teacher workspace for creating assignments and reviewing and grading student submissions.
Student Grade History Page
Student history page for reviewing submitted homework, grades, and teacher feedback.
Assignment Detail Page
Assignment instructions page where a student can review requirements and upload homework.
Student Dashboard
Student landing page for selecting enrolled courses and browsing their assignment lists.
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 is included in the initial feature scope?
How do uploaded homework files affect the plan?
What will drive resource usage for this learning management system?
Copy to discuss with AI
Challenge & re-estimate
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