Using
Momen · full-stack no-code platform
to build

a multi-university learning management system

$1570.25
/ mo
Build this app for free
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PROJECT OVERVIEW

What this app does

A multi-university learning management system serving institutions with about 20,000 students each. University administrators manage institutional users and courses, instructors publish learning materials and assignments and grade submissions, and students access enrolled courses, submit work, and review results. The platform keeps each university's users, courses, and academic activity associated with its institution.

As a student, I can view my enrolled courses and access their published learning materials
As a student, I can review an assignment, submit my work, and view my saved submission and grade
As an instructor, I can publish learning materials and assignments for a course I teach
As an instructor, I can review student submissions and record grades and feedback
As a university administrator, I can provision institutional users and assign them access to courses
As a university administrator, I can create and review courses for my university

The following user counts are projected totals after one year of growth

1000
university_administrators
University staff who provision institutional users, maintain courses, and assign course access.
4000
instructors
Faculty and teaching staff who publish course content, create assignments, and grade student work.
100000
students
Registered university students who access enrolled courses, learning materials, assignments, submissions, and grades.

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
The ongoing institutional LMS requires multiple workflows, professional branding, and long-term public availability, requiring at least the BASIC plan.
See the capability-by-capability assessment ▾
ITEM NAME
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
COVERAGE
AMOUNT
AI points add-on
x 0
0 points
not purchased
(plan/kit 1.0M points)
No requirement
$ 0
Outbound data transfer add-on
x 454
18.94 TB/mo
500GB × 454/year, amortized monthly
(plan/kit 52.00 GB/mo + add-on +18.89 TB/mo)
Add-on fills +18.89 TB/mo gap beyond plan/kit
$ 1324.17
Object storage add-on
x 27
2.72 TB
100GB × 27/year, amortized monthly
(plan/kit 52.00 GB + add-on +2.67 TB)
Add-on fills +2.67 TB gap beyond plan/kit
$ 78.75
Database storage add-on
x 1
7.68 GB
10GB × 1/year, amortized monthly
(plan/kit 2.20 GB + add-on +5.48 GB)
Add-on fills +5.48 GB gap beyond plan/kit
$ 8.33
single-tenant kit
x 1
20 req/s
single-tenant kit × 1
(plan/kit 155 req/s)
Covered by plan/kit (margin ~675%)
$ 120
Basic
x 1
Basic is the minimum viable plan
Basic
(Plan tier: BASIC)
See minimum viable plan above
$ 39
Monthly total
plan + add-ons · usage-based · no development cost
$1570.25
/ mo

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 $1570.25/mo all-in above.

Current usage sizing
AWS list pricing
12880.00 GB (first 100GB free)
Internet egress → 1159.2
2722.82 GB-month
S3 Standard → 62.62
7.68 GB-month
RDS gp3 storage → 0.88
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
2 × t4g.large × 730h
EC2 t4g.large → 98.11
Total ≈ $1552.96 / mo
Pure cloud resources
ROUTE
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL (INFRA + OPS, EXCL. AI USAGE)
TIME TO LAUNCH
CUSTOMIZATION
Traditional outsourcing / build in-house
about $220,000 - $250,000
≈ $1,553
Based on the AWS estimate above
≈ $3,553
Infra $1,553 + ops ~$2,000
4-6 months
5 / 5
Vibe Coding
about $27,000 - $30,000
≈ $1,553
Based on the AWS estimate above
≈ $3,053
Infra $1,553 + ops ~$1,500
hours
5 / 5
AI full-stack generation
about $10,000 - $12,000
≈ $1,553
Based on the AWS estimate above
≈ $3,053
Infra $1,553 + 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
$1,570
All-in: egress / storage / auto-scaling; excludes AI usage
$1,570
hours
5 / 5
Infrastructure cost is unavoidable
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 ≈ $1552.96/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.
Vibe-coding speed + a production-grade backend
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

105000
Total users
We assume an initial stable deployment across five universities because the request specifies multiple institutions but does not give an exact university count. Each university is assumed to contribute roughly 20,000 student accounts plus a smaller institutional workforce of instructors and administrators, producing a rounded registered-account scale of about 105,000. If your actual business operations differ, for example if the first rollout covers two universities or a much larger consortium, this parameter can be adjusted accordingly.
275
Data retention period
We assume an early institutional onboarding period followed by steady academic use because a multi-university learning system typically loads large university rosters near launch and then reaches a stable operating level. This matches an early-burst-and-plateau adoption pattern rather than a gradual consumer SaaS ramp. If your actual rollout differs, for example if universities are added gradually throughout the year or the launch includes a full pre-existing learning dataset, this parameter can be adjusted accordingly.
Core business scenarios
Weekly Assignment Deadline
Daily Student Learning
Daily Student Learning
Daily Student Learning
4
times/month
20 req/s
Peak load
We assume one concentrated assignment deadline period per week because weekly coursework is common in higher education and due times create a narrower demand window than ordinary study. A one-hour duration allows for the final review, upload, and confirmation behavior surrounding a deadline. If instructors use more frequent or strongly synchronized deadlines, the frequency or duration can be adjusted accordingly.
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.
Peak Concurrency
20 req/s
Database Storage
7.16 GB
Object Storage
2.48 TB
Outbound data transfer
12.98 TB
AI Points
0 AI Points

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

university_administrators
university_administration
A university administrator reviews institutional records, provisions a user, creates a course, and assigns course access.
page
Student Dashboard
data_table
universities
action_flow
provision_university_user
instructors
instructor_grading
An instructor opens an assignment submission queue, reviews student work, and records a grade and feedback.
page
Student Dashboard
data_table
universities
instructors
instructor_course_publishing
An instructor selects a teaching course and publishes learning material and an assignment.
data_table
universities
students
student_assignment_submission
A student reviews one assignment, submits work, and checks the saved submission or grade.
data_table
universities
students
student_course_learning
A student opens an enrolled course and reviews its published learning content and assignments.
page
Student Dashboard
data_table
universities
page
data_table
action_flow
University Administration Page
Tenant-scoped administration page for institutional users, courses, and course assignments.
Instructor Grading Page
Instructor page for reviewing assignment submissions and recording grades and feedback.
Instructor Course Workspace
Instructor workspace for selecting courses and publishing materials and assignments.
Assignment Detail Page
Assignment page where students review requirements, submit work, and view results.
Course Learning Page
Course page presenting published materials and assignment listings to enrolled students.
Student Dashboard
Personalized entry page listing the student's active courses.

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 course files affect the required plan?
How is data separated between universities?
Does this estimate include university roster or SSO integrations?
What most affects resource usage for this university LMS?
Made and hosted in the United States. 🇺🇸
Backed By
Sequoia
MiraclePlus
Linear Capital
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