BillZap

AI predicts & splits dorm energy bills—no meters needed, just $30/mo fair shares.

Score: 7.6/10TZHard BuildReady to Spawn
Brand Colors

The Opportunity

Problem

College students in shared housing are frustrated by GreenGrid's high subscription costs for basic energy monitoring features they need to split bills fairly.

Solution

BillZap uses quick habit surveys and past bills to AI-predict usage per roommate, generating proactive splits before the bill arrives. It handles adjustments for showers, gaming, etc., with chat-like dispute resolution. Ideal for no-meter-access dorms tired of GreenGrid costs.

Target Audience

College students living in shared housing or dorms

Differentiator

Zero-input AI predictions from student habits + predictive alerts, dorm-only algorithms.

Brand Voice

supportive

Features

Habit Survey

must-have15h

Quick quiz for usage profiles.

AI Prediction

must-have25h

Forecast monthly usage/splits.

Household Profiles

must-have12h

Add roommates & appliances.

Bill Input & Adjust

must-have15h

Enter actual bill, auto-adjust.

Predictive Alerts

must-have10h

Warn before overages.

Chat Disputes

nice-to-have15h

In-app resolve disagreements.

Trend Reports

nice-to-have10h

Monthly insights.

API for Bills

future20h

Utility integrations.

Total Build Time: 122 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
nametextYes

households

ColumnTypeNullable
iduuidNo
nametextNo
owner_iduuidNo

Relationships:

  • owner_id REFERENCES users(id)

profiles

ColumnTypeNullable
iduuidNo
household_iduuidNo
user_iduuidNo
habits_jsontextNo

Relationships:

  • household_id REFERENCES households(id)
  • user_id REFERENCES users(id)

predictions

ColumnTypeNullable
iduuidNo
household_iduuidNo
predicted_totaltextNo
timestamptimestampNo

Relationships:

  • household_id REFERENCES households(id)

API Endpoints

POST
/api/profiles

Save habit profile

🔒 Auth Required
GET
/api/predictions/:householdId

Get latest prediction

🔒 Auth Required
POST
/api/bills

Input bill & adjust

🔒 Auth Required
POST
/api/disputes

Log dispute

🔒 Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind + Zod
Backend
Next.js API + Supabase Edge Functions
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
Vercel AI SDK for predictions

Build Timeline

Week 1: Auth & Surveys

35h
  • Auth
  • Habit forms

Week 2: AI Predictions

45h
  • Model integration
  • Outputs

Week 3: Household & Bills

40h
  • Bill input
  • Adjustments

Week 4: Alerts & Chat

35h
  • Alerts
  • Dispute UI

Week 5: Payments & Reports

30h
  • Stripe
  • Trends

Week 6: Testing

25h
  • E2E
  • Launch prep

Week 7: Optimize AI

20h
  • Accuracy tweaks

Week 8: Final Polish

15h
  • Mobile opt
Total Timeline: 8 weeks • 305 hours

Pricing Tiers

Free

$0/mo

1 household

  • Basic predictions

Pro

$9.99/mo
  • Unlimited + alerts

Dorm Team

$29.99/mo
  • Chat + trends

Revenue Projections

MonthUsersConversionMRRARR
Month 12502.5%$188$2,256
Month 61,8004.5%$2,431$29,172

Unit Economics

$12
CAC
$280
LTV
6%
Churn
88%
Margin
LTV:CAC Ratio: 23.3xExcellent!

Landing Page Copy

Predict & Split Energy Bills Before They Hit

AI does the math for fair dorm shares. Skip GreenGrid.

Feature Highlights

Survey to predict
Auto-adjusts
Dispute chat
Overage alerts

Social Proof (Placeholders)

"'Spot on predictions!' - Jordan, Stanford"
"'No more arguments' - Dorm Squad"

First Three Customers

Run Typeform survey in college Facebook groups, offer free year for feedback, target international dorms with high bills.

Launch Channels

Product Huntr/personalfinancer/FrugalCollege Twitter

SEO Keywords

ai dorm bill predictorroommate energy split calculatorno meter bill splitter

Competitive Analysis

GreenGrid

greengrid.com
$50+/mo
Strength

Hardware accuracy

Weakness

Requires setup

Our Advantage

Zero setup AI

Splitwise

splitwise.com
Free
Strength

Ease

Weakness

Manual only

Our Advantage

Predictive smarts

🏰 Moat Strategy

AI improves with anonymized dorm data.

⏰ Why Now?

AI accessibility + inflation drives bill fights.

Risks & Mitigation

technicalhigh severity

Prediction accuracy

Mitigation

Hybrid manual

marketmedium severity

Trust in AI

Mitigation

Transparency

financiallow severity

AI costs

Mitigation

Edge functions

Validation Roadmap

pre-build10 days

Habit survey validation

Success: 70% accuracy match

mvp21 days

Closed beta

Success: 75% satisfaction

launch7 days

Content marketing

Success: 1k visits

Pivot Options

  • General AI splitter
  • Student budget predictor
  • Habit tracker SaaS

Quick Stats

Build Time
305h
Target MRR (6 mo)
$4,000
Market Size
$60.0M
Features
8
Database Tables
4
API Endpoints
4