BookGuard

Real-time overbooking shield with instant channel corrections for boutique hotels.

Score: 7.9/10Saudi ArabiaMedium BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Boutique hotel owners face inventory management tools that fail during peak seasons, leading to overbookings and substantial lost revenue.

Solution

BookGuard monitors all booking channels in real-time, detecting overbooking risks and auto-pushing availability updates. It uses rule-based guards tailored to peak volatility. Owners regain control, preventing revenue loss from cancellations.

Target Audience

Owners of boutique hotels

Differentiator

Sub-5min response times with no-code rule builder, vs slow enterprise syncs.

Brand Voice

supportive

Features

Live Channel Monitor

must-have25h

Tracks Booking.com, Expedia, direct in real-time.

Overbook Detector

must-have15h

Flags risks based on custom rules.

Auto Correction

must-have20h

Pushes block/unblock to channels automatically.

Rule Builder

must-have12h

No-code UI for peak season rules.

Incident Log

must-have10h

History of detections and fixes.

Webhook Support

nice-to-have8h

Custom PMS integrations.

Team Access

nice-to-have7h

Multi-user roles for staff.

Performance Metrics

nice-to-have6h

Uptime and response stats.

Total Build Time: 103 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
created_attimestampNo

hotels

ColumnTypeNullable
iduuidNo
user_iduuidNo
channelstext[]No

Relationships:

  • user_id references users(id)

rules

ColumnTypeNullable
iduuidNo
hotel_iduuidNo
nametextNo
conditionsjsonbNo
actionsjsonbNo

Relationships:

  • hotel_id references hotels(id)

incidents

ColumnTypeNullable
iduuidNo
hotel_iduuidNo
typetextNo
resolvedboolNo
timestamptimestampNo

Relationships:

  • hotel_id references hotels(id)

API Endpoints

POST
/api/rules

Create monitoring rule

🔒 Auth Required
POST
/api/monitor

Trigger channel sync/check

🔒 Auth Required
GET
/api/incidents

Fetch incident history

🔒 Auth Required
PUT
/api/hotels

Update channel configs

🔒 Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind + shadcn/ui
Backend
Next.js API + Supabase Edge
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
Cron jobs via VercelWebhook handlers

Build Timeline

Week 1: Auth and DB

18h
  • Scaffolding
  • User/hotel models

Week 2: Channel integrations

28h
  • API mocks for channels
  • Sync logic

Week 3: Rules and detector

25h
  • Rule builder UI
  • Detection engine

Week 4: Auto-actions and logs

22h
  • Correction pushes
  • Incident dashboard

Week 5: Polish and deploy

18h
  • Payments
  • Tests
  • Landing

Week 6: Beta testing

12h
  • Live channel tests
Total Timeline: 6 weeks • 123 hours

Pricing Tiers

Free

$0/mo

1 hotel

  • Monitor 2 channels
  • Manual corrections

Pro

$29/mo

3 hotels

  • Unlimited channels
  • Auto corrections
  • Rule builder

Enterprise

$89/mo

Unlimited

  • All Pro + Webhooks
  • SLA uptime

Revenue Projections

MonthUsersConversionMRRARR
Month 11513%$57$684
Month 612018%$620$7,440

Unit Economics

$35
CAC
$348
LTV
4%
Churn
91%
Margin
LTV:CAC Ratio: 9.9xExcellent!

Landing Page Copy

Your Overbooking Shield is Here

BookGuard watches channels 24/7 and fixes issues instantly—no more lost peak revenue.

Feature Highlights

Real-time Monitoring
Smart Rules
Auto-Fixes
Incident Logs
Easy Setup

Social Proof (Placeholders)

"'Caught 3 overbooks in July!' - Sarah, London Hotel"
"'Peace of mind during festivals.' - Tom, Aspen Lodge"

First Three Customers

Post in boutique hotel Facebook groups offering free 1-week trials; email lists from hotel directories; partner with 1 PMS provider for referrals.

Launch Channels

Product Huntr/hotelmanagementHacker NewsLinkedIn Hotel Groups

SEO Keywords

hotel overbooking prevention toolreal-time booking channel syncboutique hotel availability guard

Competitive Analysis

Siteminder

siteminder.com
$50+/mo per channel
Strength

Channel manager

Weakness

No proactive overbook prevention

Our Advantage

Auto-corrections, boutique pricing

🏰 Moat Strategy

Deep channel integrations creating lock-in; rules data compounds value.

⏰ Why Now?

OTA fragmentation increasing sync failures; real-time APIs maturing.

Risks & Mitigation

technicalhigh severity

Channel API rate limits

Mitigation

Queueing + caching

executionmedium severity

Integration bugs

Mitigation

Sandbox testing

Validation Roadmap

pre-build5 days

Survey channel usage

Success: 80% use 3+ channels

launch45 days

10 beta users

Success: 50% upgrade

Pivot Options

  • General OTA sync tool
  • Pricing parity monitor
  • Vacation rental focus

Quick Stats

Build Time
123h
Target MRR (6 mo)
$900
Market Size
$400.0M
Features
8
Database Tables
4
API Endpoints
4