TicketSentinel.com

AI scam detector for World Cup tickets

Score: 7.7/10MexicoMedium BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Soccer fans risk losing hundreds to thousands of dollars on fake World Cup tickets from thousands of scam websites flooding the market right before the event.

Solution

TicketSentinel lets users paste any ticket sale URL and instantly receive an AI-generated risk report analyzing domain age, design patterns, pricing anomalies, and known scam tactics targeting soccer fans. It also maintains a live database of verified safe sellers and suggests legitimate alternatives, preventing fans from losing money to the flood of fake ticket sites before major tournaments.

Target Audience

International soccer fans and travelers actively trying to purchase World Cup tickets online

Differentiator

Soccer-specific AI model trained on thousands of historical ticket scams combined with real-time community reporting that improves accuracy faster than generic tools.

Brand Voice

supportive

Features

URL Scanner

must-have35h

Paste any ticket URL for instant AI-powered analysis

Risk Report Engine

must-have30h

Generates detailed risk score with explainable factors

Scam Database Lookup

must-have20h

Checks against 15k+ known fraudulent domains

Safe Sellers Directory

must-have18h

Curated and constantly updated list of legitimate vendors

Personal Scan History

must-have22h

Dashboard to track all previous verifications

Community Reporting

must-have25h

Users can submit new scam sites with evidence

Browser Extension

nice-to-have40h

Real-time warnings while browsing ticket sites

Smart Alerts

nice-to-have18h

Email notifications about new scams for watched events

Team Sharing

nice-to-have15h

Share scans with travel groups or family

Total Build Time: 223 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
nametextYes
favorite_teamstextYes
created_attimestampNo

Relationships:

  • scans.user_id references users.id
  • reports.user_id references users.id

scans

ColumnTypeNullable
iduuidNo
user_iduuidNo
urltextNo
risk_scoreintNo
statustextNo
report_jsontextYes
created_attimestampNo

Relationships:

  • scans.user_id references users.id

scam_reports

ColumnTypeNullable
iduuidNo
domaintextNo
descriptiontextYes
user_iduuidYes
statustextNo
evidence_urltextYes
created_attimestampNo

Relationships:

  • scam_reports.user_id references users.id

verified_sellers

ColumnTypeNullable
iduuidNo
nametextNo
urltextNo
trust_scoreintNo
countries_servedtextYes
updated_attimestampNo

API Endpoints

POST
/api/scan

Submit URL for AI risk analysis

🔒 Auth Required
GET
/api/scans

Fetch user's scan history

🔒 Auth Required
POST
/api/report

Submit new scam report

🔒 Auth Required
GET
/api/sellers

Retrieve verified sellers with optional filters

GET
/api/alerts

Get pending scam alerts for user

🔒 Auth Required

Tech Stack

Frontend
Next.js 14 with Tailwind and shadcn/ui
Backend
Next.js API Routes with TypeScript
Database
PostgreSQL
Auth
Clerk
Payments
Stripe
Hosting
Vercel
Additional Tools
OpenAI for analysisPrisma ORMPuppeteerResend emails

Build Timeline

Week 1: Core infrastructure

38h
  • Project bootstrap
  • Auth + database schema
  • Landing page
  • Basic dashboard

Week 2: Scanning engine

42h
  • URL scanner API
  • Basic risk rules engine
  • Scan history UI
  • Prisma models

Week 3: AI and reporting

45h
  • OpenAI integration + prompt system
  • Rich report UI with explanations
  • Community reporting flow

Week 4: Directory and alerts

35h
  • Verified sellers management
  • Alert system backend
  • Email notification templates
  • SEO pages

Week 5: Payments and polish

32h
  • Stripe subscription flows
  • Pricing tiers implementation
  • Mobile responsiveness
  • Analytics setup
Total Timeline: 5 weeks • 212 hours

Pricing Tiers

Free

$0/mo

3 scans/month

  • 3 scans per month
  • Basic risk score
  • Public sellers directory

Pro

$35/mo

None

  • Unlimited scans
  • Full AI reports
  • Scan history
  • Community reporting
  • Email support

Premium

$79/mo

None

  • Everything in Pro
  • Browser extension
  • Real-time alerts
  • Priority support
  • API access

Revenue Projections

MonthUsersConversionMRRARR
Month 13807%$931$11,172
Month 62,85012%$11,970$143,640

Unit Economics

$19
CAC
$265
LTV
6%
Churn
86%
Margin
LTV:CAC Ratio: 13.9xExcellent!

Landing Page Copy

Stop Losing Money to Fake World Cup Tickets

Paste any ticket link. Get an instant AI risk score backed by soccer-specific intelligence. Buy safely with confidence.

Feature Highlights

AI Risk Scoring in seconds
15,000+ scam database
Curated safe sellers
Community intelligence network
Works for every major tournament

Social Proof (Placeholders)

"'Caught a $1200 scam seconds before I bought. This tool is a lifesaver.' – João Silva, Brazil"
"'Used it for every purchase during qualifiers. Zero regrets.' – Priya Sharma, India"
"'The detailed explanations helped me understand what to look for.' – Michael Weber, Germany"

First Three Customers

Post in r/worldcup, r/soccer, and r/travel offering 100 lifetime Pro accounts to users who agree to give detailed feedback and a testimonial. Partner with three mid-tier soccer YouTubers (10k-40k subscribers) by giving them Premium access and asking for an honest review video. Publish a free '2026 World Cup Ticket Buying Survival Guide' on Gumroad and LinkedIn that funnels users into a waitlist with early-bird pricing.

Launch Channels

ProductHuntr/worldcupr/saaSTwitter/X soccer accountsTikTok football creatorsLinkedIn sports travel groups

SEO Keywords

world cup ticket scam checkerverify world cup tickets legitimacyavoid fake world cup ticketsai ticket risk scannersafe world cup ticket sitescheck ticket website scam

Competitive Analysis

Strength

Broad domain reputation data

Weakness

Generic algorithm not tuned for sports ticket fraud

Our Advantage

Specialized soccer scam training data and community layer

N/A
Strength

Official primary ticket sales

Weakness

Does not cover secondary market or warn about reseller scams

Our Advantage

Covers the entire secondary market where most scams occur

Freemium
Strength

Large volume of user reviews

Weakness

Reviews appear after damage is done and are easily manipulated

Our Advantage

Pre-purchase prevention using AI instead of after-the-fact reviews

🏰 Moat Strategy

Proprietary dataset of soccer ticket scam patterns that grows with every scan and report, creating a compounding accuracy advantage.

⏰ Why Now?

AI tools have dramatically lowered the cost of creating convincing fake ticket websites right before the 2026 World Cup, while global online secondary ticket sales continue to surge.

Risks & Mitigation

legalhigh severity

Potential liability if a user buys a fake ticket we rated as low-risk

Mitigation

Clear disclaimers, insurance partner option, and hybrid rule-based + AI system with human oversight

marketmedium severity

Fans may not develop the habit of checking before purchasing

Mitigation

Heavy educational content marketing and influencer partnerships

technicalmedium severity

Web scraping may break or violate terms

Mitigation

Focus primarily on metadata, screenshots, and community reports rather than deep scraping

Validation Roadmap

pre-build10 days

Run Reddit and Discord surveys with soccer fans about willingness to pay for verification tool

Success: Minimum 35% of respondents say they would pay $30+

mvp21 days

Launch waitlist landing page and drive 800 signups via soccer communities

Success: At least 800 signups and 15% conversion on beta invites

launch14 days

Product Hunt launch + coordinated Reddit AMAs

Success: Top 10 Product Hunt ranking and 1,200 new users in first 14 days

Pivot Options

  • Expand to concert and festival tickets
  • White-label verification API for banks and payment processors
  • Launch companion mobile app with QR ticket validation

Quick Stats

Build Time
212h
Target MRR (6 mo)
$14,000
Market Size
$68.0M
Features
9
Database Tables
4
API Endpoints
5