LeadBookr

Automated outreach that fills your restaurant SaaS pipeline on autopilot

Score: 8.0/10United Arab EmiratesMedium BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Freelance developers building restaurant booking SaaS endure extremely long sales cycles with tech-averse hotel owners, crippling their cash flow.

Solution

LeadBookr scrapes hotel directories, enriches with owner contacts, and runs personalized cold email campaigns. Devs set 'booking pain' triggers for hyper-targeted sequences. Dashboard shows reply rates and books intro calls automatically.

Target Audience

Solo freelance developers building indie SaaS products for restaurant and hotel booking systems

Differentiator

Hospitality-specific lead sourcing + compliance-safe automation tuned for high-open rates

Brand Voice

supportive

Features

Lead Finder

must-have20h

Search US hotels by location, size; auto-enrich emails/phones

Campaign Builder

must-have15h

Drag-drop sequences with booking-specific messaging

Auto-Scheduler

must-have12h

Cal.com integration for reply-to-call booking

Reply Analyzer

must-have18h

AI scores responses, suggests next steps

Compliance Checker

must-have10h

GDPR/CAN-SPAM validation per send

Lead Scoring

nice-to-have8h

Rank leads by tech readiness

A/B Testing

nice-to-have10h

Test subject lines/pitches automatically

CRM Export

nice-to-have7h

One-click to Google Sheets/Hubspot

Total Build Time: 100 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo

leads

ColumnTypeNullable
iduuidNo
user_iduuidNo
hotel_nametextNo
owner_emailtextYes
scoreintYes

Relationships:

  • β€’ user_id -> users.id

campaigns

ColumnTypeNullable
iduuidNo
user_iduuidNo
leads_countintNo
statustextNo

Relationships:

  • β€’ user_id -> users.id

API Endpoints

POST
/api/leads/search

Find & enrich leads

πŸ”’ Auth Required
POST
/api/campaigns

Launch campaign

πŸ”’ Auth Required
GET
/api/user/campaigns

List with metrics

πŸ”’ Auth Required
POST
/api/replies

Handle incoming replies

πŸ”’ Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind + shadcn/ui
Backend
Next.js + Supabase Functions
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
Apify for scrapingResendOpenAI

Build Timeline

Week 1: Core auth & leads

28h
  • βœ“ Setup
  • βœ“ Lead search UI/API

Week 2: Enrichment & campaigns

30h
  • βœ“ Email enrichment
  • βœ“ Sequence builder

Week 3: Automation

28h
  • βœ“ Email sending
  • βœ“ Cal integration

Week 4: AI & dashboard

25h
  • βœ“ Reply AI
  • βœ“ Metrics dashboard
Total Timeline: 4 weeks β€’ 111 hours

Pricing Tiers

Free

$0/mo

5 campaigns/mo

  • βœ“50 leads/mo
  • βœ“Basic campaigns

Pro

$25/mo

2000 emails/mo

  • βœ“500 leads
  • βœ“Unlimited campaigns
  • βœ“AI replies

Enterprise

$89/mo

None

  • βœ“Unlimited + Custom scraping
  • βœ“Dedicated IP

Revenue Projections

MonthUsersConversionMRRARR
Month 11202.5%$75$900
Month 64504.5%$506$6,072

Unit Economics

$18
CAC
$420
LTV
6%
Churn
85%
Margin
LTV:CAC Ratio: 23.3xExcellent!

Landing Page Copy

10 Qualified Hotel Leads Per Week, Hands-Free

Outreach automation built for booking SaaS sellersβ€”targeted, compliant, converting.

Feature Highlights

βœ“Hotel directory scraper
βœ“Personalized sequences
βœ“Auto-call booking
βœ“Reply AI

Social Proof (Placeholders)

"'5 calls booked first month.' - Dev Tom"
"'Finally consistent pipeline.' - Emma S."

First Three Customers

Run targeted Twitter ads to 'restaurant saas' keywords; post lead magnet (free 50 leads) on LinkedIn freelance groups; cold email 50 devs from GitHub repos building booking apps.

Launch Channels

Product Huntr/SaaSTwitter AdsLinkedIn

SEO Keywords

hotel owner email listrestaurant booking leadssaas outreach for hospitality

Competitive Analysis

Apollo.io

apollo.io
$49/mo
Strength

B2B leads

Weakness

Generic, noisy for niche hospitality

Our Advantage

Vertical focus + higher precision

🏰 Moat Strategy

Proprietary hotel data enrichment via partnerships

⏰ Why Now?

Email deliverability improvements + dev tools maturing for solo ops

Risks & Mitigation

legalhigh severity

Email compliance issues

Mitigation

Built-in checker + double-optin

marketmedium severity

Lead quality varies

Mitigation

User feedback loop for scoring

Validation Roadmap

pre-build10 days

Manual lead gen test

Success: 10% reply rate

growth60 days

100 campaigns run

Success: $500 MRR

Pivot Options

  • β†’General B2B lead gen
  • β†’SMS outreach
  • β†’Content lead magent tool

Quick Stats

Build Time
111h
Target MRR (6 mo)
$550
Market Size
$6.0M
Features
8
Database Tables
3
API Endpoints
4