NFTGuardUni

AI scam detector built for uni students trading NFTs safely

Score: 7.9/10BWMedium BuildReady to Spawn
Brand Colors

The Opportunity

Problem

University students are repeatedly falling victim to scams and rug pulls in web3 projects, resulting in significant financial losses during NFT trading attempts.

Solution

NFTGuardUni scans NFT projects in real-time for scam signals like rug pull risks, anonymous teams, and suspicious liquidity using AI analysis. It provides a simple safety score and alerts before you buy. Tailored for beginners with educational tips on every scan.

Target Audience

University students new to web3 and actively exploring NFT trading

Differentiator

Student-exclusive AI model trained on uni trader losses, with gamified learning to prevent future scams

Brand Voice

supportive

Features

Project Scanner

must-have12h

Enter contract address or project name for instant scam analysis and safety score

Real-time Alerts

must-have8h

Push notifications for monitored projects showing rug risks

Safety Score Dashboard

must-have10h

Personal dashboard ranking watched projects by risk level

Educational Tooltips

must-have6h

Pop-up explanations of scam red flags with uni-student examples

Portfolio Scanner

must-have15h

Upload wallet to scan holdings for hidden risks

Community Reports

nice-to-have8h

View anonymized student reports on projects

Weekly Scam Digest

nice-to-have5h

Email summary of top uni-relevant scam trends

Discord Integration

future10h

Bot for scanning projects in student Discords

Total Build Time: 74 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
wallet_addresstextYes
is_studentboolNo
created_attimestampNo

Relationships:

  • β€’ one-to-many with scans, watchlists

scans

ColumnTypeNullable
iduuidNo
user_iduuidNo
contract_addresstextNo
safety_scoreintNo
risk_flagstextYes
scanned_attimestampNo

Relationships:

  • β€’ foreign key to users.id

watchlists

ColumnTypeNullable
iduuidNo
user_iduuidNo
contract_addresstextNo
alert_enabledboolNo
added_attimestampNo

Relationships:

  • β€’ foreign key to users.id

API Endpoints

POST
/api/scan

Scan NFT project and return safety report

πŸ”’ Auth Required
GET
/api/dashboard

Fetch user scans and watchlist

πŸ”’ Auth Required
POST
/api/watchlist

Add/remove project to watchlist

πŸ”’ Auth Required
GET
/api/alerts

Get recent alerts for user

πŸ”’ Auth Required
POST
/api/portfolio-scan

Scan user wallet holdings

πŸ”’ Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind + shadcn/ui
Backend
Next.js API routes + Supabase Edge Functions
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
Replicate AI for scam detectionWeb3.js for blockchain queries

Build Timeline

Week 1: Core auth and DB setup

20h
  • βœ“ User signup/login
  • βœ“ Basic DB schema

Week 2: Scanner MVP

25h
  • βœ“ Project scan endpoint
  • βœ“ Frontend scanner UI

Week 3: Dashboard and watchlist

20h
  • βœ“ Dashboard page
  • βœ“ Watchlist CRUD

Week 4: Alerts and payments

15h
  • βœ“ Push notifications
  • βœ“ Stripe integration

Week 5: Polish and launch

10h
  • βœ“ Educational tooltips
  • βœ“ Landing page
Total Timeline: 5 weeks β€’ 100 hours

Pricing Tiers

Free

$0/mo

No alerts or portfolio scans

  • βœ“5 scans/month
  • βœ“Basic safety scores

Pro

$12/mo

1 wallet

  • βœ“Unlimited scans
  • βœ“Real-time alerts
  • βœ“Portfolio scanner

Enterprise

$49/mo

5 wallets

  • βœ“All Pro + Multi-wallet
  • βœ“Priority support
  • βœ“API access

Revenue Projections

MonthUsersConversionMRRARR
Month 12002%$48$576
Month 61,5004%$720$8,640

Unit Economics

$5
CAC
$144
LTV
5%
Churn
85%
Margin
LTV:CAC Ratio: 28.8xExcellent!

Landing Page Copy

Stop NFT Scams Before They Drain Your Student Budget

AI-powered scans give uni traders like you instant safety scores on any project

Feature Highlights

βœ“Real-time rug pull detection
βœ“Wallet portfolio checks
βœ“Student-focused education
βœ“Unlimited pro scans for $12/mo

Social Proof (Placeholders)

"Saved me from a 2 ETH rug! - Alex, UCL"
"Finally trade without fear - Sarah, NYU"

First Three Customers

Post in university Discord servers and Reddit subs like r/UniNFTs and r/web3students offering free Pro trials for feedback; DM NFT influencers on Twitter targeting student audiences; run $50 Meta ads on campus geo-fences.

Launch Channels

Product Huntr/NFTr/web3Twitter #NFTstudentsIndie Hackers

SEO Keywords

nft scam detectorrug pull checkersafe nft trading toolnft safety scoreweb3 scam scanner students

Competitive Analysis

RugDoc

rugdoc.io
Free
Strength

Broad crypto coverage

Weakness

No student focus or AI personalization

Our Advantage

Uni-tailored AI with education

🏰 Moat Strategy

Proprietary AI dataset from student scam reports building network effects

⏰ Why Now?

NFT trading hype returning in 2024 with student inflows, but scam sophistication rising post-FTX

Risks & Mitigation

technicalmedium severity

AI accuracy issues

Mitigation

Use vetted Replicate models + user feedback loop

markethigh severity

Low student adoption

Mitigation

Validate via campus Discords pre-launch

legallow severity

Blockchain data liability

Mitigation

Disclaimers + no financial advice

Validation Roadmap

pre-build7 days

Survey 50 uni students on NFT pains

Success: 80% express interest

mvp14 days

Build scanner prototype, get 20 beta users

Success: 90% retention week 1

launch7 days

PH launch, track signups

Success: 200 users week 1

Pivot Options

  • β†’Expand to DeFi scam detector
  • β†’B2B for uni investment clubs
  • β†’Gamified NFT trading simulator

Quick Stats

Build Time
100h
Target MRR (6 mo)
$1,000
Market Size
$500.0M
Features
8
Database Tables
3
API Endpoints
5