OutletWise

AI predicts and schedules power usage to avoid co-working chaos.

Score: 8.0/10BrazilHard BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Remote teams in co-working spaces lose coordination on power usage because energy management apps frequently crash on mobile devices.

Solution

OutletWise uses AI to analyze team patterns and auto-suggest optimal power slots, preventing coordination losses from crashed apps. Teams confirm suggestions via simple web or email, with real-time adjustments. It learns from usage to minimize conflicts proactively.

Target Audience

Remote teams in co-working spaces relying on mobile apps for power usage coordination

Differentiator

Predictive AI reduces manual coordination by 70%, focused on pattern-based smarts.

Brand Voice

supportive

Features

AI Slot Suggestions

must-have20h

Daily predicted optimal bookings

Pattern Learning

must-have15h

Tracks habits to improve predictions

One-Click Confirm

must-have10h

Approve AI plans via web/email

Real-Time Adjustments

must-have12h

Override suggestions live

Usage Insights

must-have8h

Dashboard of predictions vs actual

Email Digests

nice-to-have10h

Daily plan summaries

Team Voting

nice-to-have12h

Vote on AI plans

Export Schedules

nice-to-have8h

Calendar sync

Advanced ML

future30h

Custom models

Total Build Time: 125 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextYes
roletextYes

Relationships:

  • team_id -> teams.id

teams

ColumnTypeNullable
iduuidNo
nametextNo
habits_jsontextYes

Relationships:

  • id -> users.team_id

predictions

ColumnTypeNullable
iduuidNo
team_iduuidNo
datetimestampNo
suggestions_jsontextNo
accuracyfloatYes

Relationships:

  • team_id -> teams.id

API Endpoints

GET
/api/predictions

Fetch today's AI plan

🔒 Auth Required
POST
/api/predictions/confirm

Approve prediction

🔒 Auth Required
POST
/api/habits

Update team habits

🔒 Auth Required
GET
/api/insights

Get usage analytics

🔒 Auth Required

Tech Stack

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

Build Timeline

Week 1: Auth and DB

20h
  • Signup
  • Teams
  • Basic schema

Week 2: AI MVP

35h
  • Simple prediction logic
  • Dashboard

Week 3: Confirmations

30h
  • One-click approve
  • Learning loop
  • Emails

Week 4: Polish

25h
  • Insights charts
  • Payments
  • Deploy

Week 5: Refine AI

15h
  • Accuracy tracking
  • Tests

Week 6: Launch prep

10h
  • SEO
  • Landing
Total Timeline: 6 weeks • 135 hours

Pricing Tiers

Free

$0/mo

Manual confirm only

  • Basic predictions
  • 1 team

Pro

$15/mo

5 users

  • AI learning
  • Auto-emails
  • Insights

Enterprise

$49/mo

None

  • All + Priority AI
  • Unlimited
  • Custom habits

Revenue Projections

MonthUsersConversionMRRARR
Month 11202%$36$432
Month 69004%$360$4,320

Unit Economics

$18
CAC
$480
LTV
3%
Churn
90%
Margin
LTV:CAC Ratio: 26.7xExcellent!

Landing Page Copy

AI Handles Your Power Scheduling

Smart predictions end co-working outlet fights—confirm in seconds.

Feature Highlights

Predictive slots
Learns your team
One-click approve
Insightful dashboard

Social Proof (Placeholders)

"'AI nailed our patterns!' - Hybrid Squad"
"'Effortless now.' - Cowork Collective"

First Three Customers

Run LinkedIn ads targeting 'remote team lead + coworking'. Email 50 co-working newsletters with AI demo. Get intros via indie hacker friends in remote work.

Launch Channels

Product Huntr/MachineLearningr/coworkingHacker News

SEO Keywords

ai coworking power schedulerpredictive outlet coordinationsmart team power management

Competitive Analysis

PredictPower

predictpower.io
$25/mo
Strength

General AI

Weakness

No co-working focus

Our Advantage

Tailored predictions

🏰 Moat Strategy

Proprietary usage data moat for better AI

⏰ Why Now?

AI accessibility + co-working energy crunch 2024

Risks & Mitigation

technicalhigh severity

AI inaccuracy early

Mitigation

Fallback manual

marketmedium severity

AI skepticism

Mitigation

Free trials

executionmedium severity

Model training

Mitigation

Simple heuristics first

Validation Roadmap

pre-build7 days

Survey on AI interest

Success: 70% interested

mvp14 days

AI beta with feedback

Success: 60% accuracy

growth30 days

A/B test tiers

Success: Pro > Free retention

Pivot Options

  • General resource AI scheduler
  • Home energy predictor
  • Meeting room AI

Quick Stats

Build Time
135h
Target MRR (6 mo)
$360
Market Size
$750.0M
Features
9
Database Tables
3
API Endpoints
4