PeakProof

AI-powered peak-hour protection to eliminate overbookings forever.

Score: 7.8/10ETMedium BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Small restaurant owners face unreliable table management and reservation software during peak hours, resulting in overbookings and unhappy customers.

Solution

PeakProof uses simple historical data to predict rush hours and automatically adjusts reservation limits in real-time. Owners get instant alerts via SMS or app for potential overbooks, with one-click capacity tweaks. It ensures smooth service without complex setups, keeping customers happy during busiest times.

Target Audience

Owners and managers of small independent restaurants

Differentiator

Predictive AI that learns from your restaurant's unique patterns, no manual forecasting needed—unlike rigid calendar tools.

Brand Voice

friendly

Features

Dashboard Overview

must-have8h

Real-time view of occupancy, upcoming reservations, and peak predictions.

Auto Capacity Adjust

must-have12h

AI dynamically limits new bookings based on predicted demand.

SMS Alerts

must-have6h

Instant notifications for overbooking risks or no-shows.

Table Mapping

must-have10h

Visual floor plan with drag-and-drop table assignments.

Reservation Calendar

must-have8h

Simple booking interface with party size and time slots.

Historical Reports

nice-to-have6h

Weekly insights on peak times and fill rates.

Customer Portal

nice-to-have5h

Guests confirm or cancel via link.

No-Show Prediction

future10h

AI flags likely no-shows to overbook smartly.

Total Build Time: 65 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
created_attimestampNo

Relationships:

  • one-to-many with restaurants

restaurants

ColumnTypeNullable
idNo
user_iduuidNo
nametextNo
max_capacityintNo

Relationships:

  • foreign key to users.id
  • one-to-many with tables, reservations

tables

ColumnTypeNullable
iduuidNo
restaurant_iduuidNo
nametextNo
capacityintNo
statustextNo

Relationships:

  • foreign key to restaurants.id

reservations

ColumnTypeNullable
iduuidNo
restaurant_iduuidNo
table_iduuidYes
start_timetimestampNo
party_sizeintNo
statustextNo

Relationships:

  • foreign key to restaurants.id, tables.id

API Endpoints

POST
/api/restaurants

Create restaurant profile

🔒 Auth Required
POST
/api/tables

Add tables to restaurant

🔒 Auth Required
POST
/api/reservations

Book reservation

GET
/api/dashboard

Fetch occupancy and predictions

🔒 Auth Required
GET
/api/alerts

Get recent alerts

🔒 Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind + shadcn/ui + Recharts
Backend
Next.js API routes + Supabase Edge Functions
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
Twilio for SMSVercel AI SDK for predictions

Build Timeline

Week 1: Core auth and DB setup

25h
  • User auth
  • Restaurant and table CRUD
  • Basic dashboard

Week 2: Reservations and calendar

30h
  • Reservation booking flow
  • Visual calendar
  • Basic predictions

Week 3: Alerts and real-time

25h
  • SMS integration
  • Real-time updates with Supabase Realtime
  • AI capacity logic

Week 4: Polish and payments

20h
  • Stripe integration
  • Landing page
  • Beta testing fixes
Total Timeline: 4 weeks • 120 hours

Pricing Tiers

Free

$0/mo

No predictions, 10 reservations/mo

  • 1 table
  • Basic calendar
  • Manual alerts

Pro

$39/mo

1 restaurant

  • Unlimited tables
  • AI predictions
  • SMS alerts
  • Reports

Enterprise

$99/mo

None

  • All Pro + Multi-location
  • Custom AI
  • Priority support

Revenue Projections

MonthUsersConversionMRRARR
Month 1505%$78$936
Month 640015%$2,340$28,080

Unit Economics

$18
CAC
$936
LTV
3%
Churn
92%
Margin
LTV:CAC Ratio: 52.0xExcellent!

Landing Page Copy

Stop Peak-Hour Chaos Before It Starts

PeakProof's AI predicts rushes and protects your tables—no more overbooked nightmares.

Feature Highlights

Real-time overbooking prevention
Smart SMS alerts
Easy 5-min setup
Proven for small spots

Social Proof (Placeholders)

"'Saved our Friday nights!' - Mario's Bistro"
"'Finally reliable!' - Local Diner Owner"

First Three Customers

DM 20 small restaurant owners on LinkedIn searching 'independent restaurant owner', offer free setup call and 1-month free Pro. Post in Facebook groups like 'Small Restaurant Owners' with a demo video. Attend local chamber of commerce meetups for intros.

Launch Channels

Product HuntIndie Hackersr/smallbusinessRestaurant Owner Facebook Groups

SEO Keywords

restaurant overbooking preventionpeak hour reservation softwaresmall restaurant table manager

Competitive Analysis

OpenTable

opentable.com
$199+/mo + fees
Strength

Large network

Weakness

Overkill for small ops, high cost

Our Advantage

Affordable AI focus on peaks, simple setup

Commission-based
Strength

Guest-facing

Weakness

No peak prediction

Our Advantage

Owner-first predictions

🏰 Moat Strategy

Proprietary peak prediction data moat from aggregated anonymized restaurant patterns.

⏰ Why Now?

Post-pandemic dining surges strain small restaurants with labor shortages amplifying peak chaos.

Risks & Mitigation

technicalmedium severity

AI prediction accuracy

Mitigation

Start rule-based, iterate with user data

markethigh severity

Low adoption by tech-averse owners

Mitigation

SMS-first mobile UX

executionlow severity

Build delays on realtime

Mitigation

Leverage Supabase Realtime

Validation Roadmap

pre-build7 days

Interview 10 owners on pain

Success: 80% confirm peak overbooking issue

mvp14 days

Beta with 5 restaurants

Success: 90% retention after week 1

launch3 days

PH launch metrics

Success: 100 signups

Pivot Options

  • Bar waitlist tool
  • Event venue booking
  • Food truck queue manager

Quick Stats

Build Time
120h
Target MRR (6 mo)
$2,500
Market Size
$2500.0M
Features
8
Database Tables
4
API Endpoints
5