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

面向批发客户的雨伞选品网站

$47.75
/ mo
Build this app for free
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PROJECT OVERVIEW

What this app does

这是一个面向固定批发客户的雨伞选品网站,约200位客户每天使用它浏览和挑选商品。网站维护约2000个SKU,每个SKU配有多张商品图片,并提供商品目录与详情查看能力;内部商品经理负责新增和更新SKU及图片。

作为批发客户,我可以按SKU、名称或分类浏览和筛选雨伞商品,以便找到候选商品
作为批发客户,我可以查看单个SKU的资料和多张图片,以便比较并完成选品
作为商品经理,我可以新增雨伞SKU并上传多张商品图片,以便建立可供客户浏览的目录
作为商品经理,我可以查看并更新现有SKU资料和图片,以便保持选品目录准确

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

5
catalog_managers
负责维护SKU文字资料、批发价格、展示状态和多张商品图片的内部员工。
200
wholesale_customers
登录后每天浏览雨伞目录、筛选SKU并查看多图详情的批发客户。

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
Ongoing external catalog needs multiple data workflows, branding, and long-term publishing.
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 3
121.88 GB/mo
500GB × 3/year, amortized monthly
(plan/kit 2.00 GB/mo + add-on +119.88 GB/mo)
Add-on fills +119.88 GB/mo gap beyond plan/kit
$ 8.75
Object storage add-on
x 0
202.38 MB
not purchased
(plan/kit 2.00 GB)
Covered by plan/kit (margin ~888%)
$ 0
Database storage add-on
x 0
25.73 MB
not purchased
(plan/kit 200.00 MB)
Covered by plan/kit (margin ~677%)
$ 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
Monthly total
plan + add-ons · usage-based · no development cost
$47.75
/ 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 $47.75/mo all-in above.

Current usage sizing
AWS list pricing
0.00 GB (first 100GB free)
Internet egress → 0
0.20 GB-month
S3 Standard → 0
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 ≈ $330.26 / mo
Pure cloud resources
ROUTE
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL (INFRA + OPS, EXCL. AI USAGE)
TIME TO LAUNCH
CUSTOMIZATION
Traditional outsourcing / build in-house
about $55,000 - $95,000
≈ $330
Based on the AWS estimate above
≈ $2,330
Infra $330 + ops ~$2,000
4-6 months
5 / 5
Vibe Coding
about $10,000 - $18,000
≈ $330
Based on the AWS estimate above
≈ $1,830
Infra $330 + ops ~$1,500
hours
5 / 5
AI full-stack generation
about $4,000 - $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
$48
All-in: egress / storage / auto-scaling; excludes AI usage
$48
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 ≈ $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.
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

205
Total users
我们假设系统包含用户明确给出的200个批发客户账号,并为日常维护约2000个SKU配置一个约5人的内部商品管理小组,因为小型批发目录通常由少量员工持续维护。稳定运营时的注册账号规模按205个处理;如果200这个数字已经包含内部员工,或实际只有一名管理员,可相应调整。
275
Data retention period
我们假设该网站会在客户账号和约2000个SKU准备完成后较快进入稳定使用,因为固定批发客户每天选品通常属于早期集中上线、随后使用量趋于平稳的业务模式。因此采用早期增长后进入平台期的等效数据积累周期;如果实际是从零逐月拓展客户和SKU,可相应调整为更短的线性增长周期。
Core business scenarios
Morning Customer Selection
Morning Customer Selection
Morning Customer Selection
Morning Customer Selection
30
times/month
0.36 req/s
Peak load
We assume the busiest customer activity occupies a two-hour morning period every day because wholesale buyers commonly conduct product research during an early working session, without a single external signal forcing everyone to arrive at once. The period is therefore modeled as a broad 7,200-second window rather than a short synchronized burst, and it occurs on all 30 days because the blueprint states that the customers use the private catalog daily. The purpose is kept focused on customer product comparison and is not combined with internal catalog maintenance. If customer access is limited to weekdays or driven by a narrower buying deadline, the frequency and 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
0.36 req/s
Database Storage
24.54 MB
Object Storage
193 MB
Outbound data transfer
85.52 GB
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

catalog_managers
update_product_listing
商品经理定位现有SKU,查看当前资料和图片,然后保存修改。
page
Product Catalog Page
data_table
users
action_flow
create_catalog_product
catalog_managers
create_product_listing
商品经理从管理目录进入新建操作,填写SKU并上传多张图片后保存。
page
Product Catalog Page
data_table
users
action_flow
create_catalog_product
catalog_managers
review_catalog_inventory
商品经理查看现有SKU目录并定位需要维护的商品。
page
Product Catalog Page
data_table
users
wholesale_customers
daily_product_selection
批发客户进入目录、筛选雨伞并连续查看感兴趣SKU的多图详情。
page
Product Catalog Page
data_table
users
page
data_table
action_flow
Product Editor Page
供商品经理创建或编辑SKU资料及多张商品图片的表单页面。
Product Management Page
供商品经理查看、搜索并进入新建或编辑操作的SKU管理页面。
Product Detail Page
展示单个雨伞SKU资料、批发价格和多张商品图片的详情页面。
Product Catalog Page
供批发客户浏览、搜索和筛选雨伞SKU的目录页面。

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

是否包含未登录访客的访问量?
这个估算是否包含批发客户在线下单?
每个SKU有多张图片,系统结构能支持吗?
这个雨伞选品网站的资源消耗主要由什么决定?
Made and hosted in the United States. 🇺🇸
Backed By
Sequoia
MiraclePlus
Linear Capital
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